Initial commit

.ipynb_checkpoints/app-checkpoint.py

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+import streamlit as st
+import torch
+from huggingface_hub import model_info
+from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
+
+def inference(prompt, model, n_images, seed):
+    # Load the model
+    info = model_info(model)
+    model_base = info.cardData["base_model"]
+    pipe = StableDiffusionPipeline.from_pretrained(model_base, torch_dtype=torch.float32)
+    pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
+
+    pipe.unet.load_attn_procs(model)
+
+    # Load the UI components for progress bar and image grid
+    progress_bar_ui = st.empty()
+    with progress_bar_ui.container():
+        progress_bar = st.progress(0, text=f"Performing inference on {n_images} images...")
+    image_grid_ui = st.empty()
+
+    # Run inference
+    result_images = []
+    generators = [torch.Generator().manual_seed(i) for i in range(seed, n_images+seed)]
+    print(f"Inferencing '{prompt}' for {n_images} images.")
+
+    for i in range(n_images):
+        result = pipe(prompt, generator=generators[i], num_inference_steps=25).images[0]
+        result_images.append(result)
+
+        # Start with empty UI elements
+        progress_bar_ui.empty()
+        image_grid_ui.empty()
+
+        # Update the progress bar
+        with progress_bar_ui.container():
+            value = ((i+1)/(len(dataset)))
+            progress_bar.progress(value, text=f"{i+1} out of {len(dataset)} images processed.")
+
+        # Update the image grid
+        with image_grid_ui.container():
+            col1, col2, col3 = st.columns(3)
+            with col1:
+                for i in range(0, len(result_images), 3):
+                    st.image(result_images[i], caption=f"Image - {i+1}")
+            with col2:
+                for i in range(1, len(result_images), 3):
+                    st.image(result_images[i], caption=f"Image - {i+2}")
+            with col3:
+                for i in range(2, len(result_images), 3):
+                    st.image(result_images[i], caption=f"Image - {i+3}")
+
+
+def main():
+    pass
+
+if __name__ == "__main__":
+    # --- START UI ---
+    st.title("Finetune LoRA inference")
+
+    with st.form(key='form_parameters'):
+        prompt = st.text_input("Enter the prompt: ")
+        model_options = ["asrimanth/person-thumbs-up-plain-lora", "asrimanth/person-thumbs-up-lora", "asrimanth/person-thumbs-up-lora-no-cap"]
+        current_model = st.selectbox("Choose a model", options=model_options)
+        col1_inp, col2_inp = st.columns(2)
+        with col1_inp:
+            n_images = int(st.number_input("Enter the number of images", min_value=0, max_value=50))
+        with col2_inp:
+            seed_input = int(st.number_input("Enter the seed (default=25)", value=25, min_value=0))
+        submitted = st.form_submit_button("Predict")
+
+    if submitted: # The form is submitted
+        inference(prompt, current_model, n_images, seed_input)

app.py

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+import streamlit as st
+import torch
+from huggingface_hub import model_info
+from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
+
+def inference(prompt, model, n_images, seed):
+    # Load the model
+    info = model_info(model)
+    model_base = info.cardData["base_model"]
+    pipe = StableDiffusionPipeline.from_pretrained(model_base, torch_dtype=torch.float32)
+    pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
+
+    pipe.unet.load_attn_procs(model)
+
+    # Load the UI components for progress bar and image grid
+    progress_bar_ui = st.empty()
+    with progress_bar_ui.container():
+        progress_bar = st.progress(0, text=f"Performing inference on {n_images} images...")
+    image_grid_ui = st.empty()
+
+    # Run inference
+    result_images = []
+    generators = [torch.Generator().manual_seed(i) for i in range(seed, n_images+seed)]
+    print(f"Inferencing '{prompt}' for {n_images} images.")
+
+    for i in range(n_images):
+        result = pipe(prompt, generator=generators[i], num_inference_steps=25).images[0]
+        result_images.append(result)
+
+        # Start with empty UI elements
+        progress_bar_ui.empty()
+        image_grid_ui.empty()
+
+        # Update the progress bar
+        with progress_bar_ui.container():
+            value = ((i+1)/(len(dataset)))
+            progress_bar.progress(value, text=f"{i+1} out of {len(dataset)} images processed.")
+
+        # Update the image grid
+        with image_grid_ui.container():
+            col1, col2, col3 = st.columns(3)
+            with col1:
+                for i in range(0, len(result_images), 3):
+                    st.image(result_images[i], caption=f"Image - {i+1}")
+            with col2:
+                for i in range(1, len(result_images), 3):
+                    st.image(result_images[i], caption=f"Image - {i+2}")
+            with col3:
+                for i in range(2, len(result_images), 3):
+                    st.image(result_images[i], caption=f"Image - {i+3}")
+
+
+def main():
+    pass
+
+if __name__ == "__main__":
+    # --- START UI ---
+    st.title("Finetune LoRA inference")
+
+    with st.form(key='form_parameters'):
+        prompt = st.text_input("Enter the prompt: ")
+        model_options = ["asrimanth/person-thumbs-up-plain-lora", "asrimanth/person-thumbs-up-lora", "asrimanth/person-thumbs-up-lora-no-cap"]
+        current_model = st.selectbox("Choose a model", options=model_options)
+        col1_inp, col2_inp = st.columns(2)
+        with col1_inp:
+            n_images = int(st.number_input("Enter the number of images", min_value=0, max_value=50))
+        with col2_inp:
+            seed_input = int(st.number_input("Enter the seed (default=25)", value=25, min_value=0))
+        submitted = st.form_submit_button("Predict")
+
+    if submitted: # The form is submitted
+        inference(prompt, current_model, n_images, seed_input)

finetune_lora.sh

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+export MODEL_NAME="runwayml/stable-diffusion-v1-5"
+export TRAIN_DIR="/l/vision/v5/sragas/easel_ai/thumbs_up_dataset/"
+export OUTPUT_DIR="/l/vision/v5/sragas/easel_ai/models/"
+export HUB_MODEL_ID="sachin-thumbs-up-lora"
+
+accelerate launch --mixed_precision="fp16"  train_text_to_image_lora.py \
+  --pretrained_model_name_or_path=$MODEL_NAME \
+  --train_data_dir=$TRAIN_DIR \
+  --resolution=512 --center_crop --random_flip \
+  --train_batch_size=2 \
+  --gradient_accumulation_steps=4 \
+  --num_train_epochs=300 \
+  --learning_rate=1e-6 \
+  --max_grad_norm=1 \
+  --lr_scheduler="cosine" --lr_warmup_steps=500 \
+  --output_dir=${OUTPUT_DIR} \
+  --checkpointing_steps=500 \
+  --report_to=wandb \
+  --validation_prompt="<tom_cruise> #thumbsup" \
+  --seed=15 \
+  --push_to_hub \
+  --hub_model_id=${HUB_MODEL_ID}

finetune_lora_2.sh

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+export MODEL_NAME="stabilityai/stable-diffusion-2-1"
+export TRAIN_DIR="/l/vision/v5/sragas/easel_ai/thumbs_up_dataset/"
+export OUTPUT_DIR="/l/vision/v5/sragas/easel_ai/models_2/"
+export HUB_MODEL_ID="person-thumbs-up-lora-2"
+
+accelerate launch --mixed_precision="fp16"  train_text_to_image_lora.py \
+  --pretrained_model_name_or_path=$MODEL_NAME \
+  --train_data_dir=$TRAIN_DIR \
+  --resolution=768 --center_crop --random_flip \
+  --train_batch_size=2 \
+  --gradient_accumulation_steps=4 \
+  --num_train_epochs=300 \
+  --learning_rate=1e-6 \
+  --max_grad_norm=1 \
+  --lr_scheduler="cosine" --lr_warmup_steps=500 \
+  --output_dir=${OUTPUT_DIR} \
+  --checkpointing_steps=500 \
+  --report_to=wandb \
+  --validation_prompt="<tom_cruise> #thumbsup" \
+  --seed=15 \
+  --push_to_hub \
+  --hub_model_id=${HUB_MODEL_ID}

finetune_lora_no_cap.sh

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+export MODEL_NAME="runwayml/stable-diffusion-v1-5"
+export TRAIN_DIR="/l/vision/v5/sragas/easel_ai/thumbs_up_no_cap_dataset/"
+export OUTPUT_DIR="/l/vision/v5/sragas/easel_ai/models_no_cap/"
+export HUB_MODEL_ID="person-thumbs-up-lora-no-cap"
+
+accelerate launch --mixed_precision="fp16"  train_text_to_image_lora.py \
+  --pretrained_model_name_or_path=$MODEL_NAME \
+  --train_data_dir=$TRAIN_DIR \
+  --resolution=512 --center_crop --random_flip \
+  --train_batch_size=2 \
+  --gradient_accumulation_steps=4 \
+  --num_train_epochs=300 \
+  --learning_rate=1e-6 \
+  --max_grad_norm=1 \
+  --lr_scheduler="cosine" --lr_warmup_steps=500 \
+  --output_dir=${OUTPUT_DIR} \
+  --checkpointing_steps=500 \
+  --report_to=wandb \
+  --validation_prompt="<tom_cruise> #thumbsup" \
+  --seed=15 \
+  --push_to_hub \
+  --hub_model_id=${HUB_MODEL_ID}

finetune_lora_plain.sh

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+export MODEL_NAME="runwayml/stable-diffusion-v1-5"
+export TRAIN_DIR="/l/vision/v5/sragas/easel_ai/thumbs_up_plain_dataset/"
+export OUTPUT_DIR="/l/vision/v5/sragas/easel_ai/models_plain/"
+export HUB_MODEL_ID="person-thumbs-up-plain-lora"
+
+accelerate launch --mixed_precision="fp16"  train_text_to_image_lora.py \
+  --pretrained_model_name_or_path=$MODEL_NAME \
+  --train_data_dir=$TRAIN_DIR \
+  --resolution=512 --center_crop --random_flip \
+  --train_batch_size=2 \
+  --gradient_accumulation_steps=4 \
+  --num_train_epochs=300 \
+  --learning_rate=1e-5 \
+  --max_grad_norm=1 \
+  --lr_scheduler="cosine" --lr_warmup_steps=500 \
+  --output_dir=${OUTPUT_DIR} \
+  --checkpointing_steps=500 \
+  --report_to=wandb \
+  --validation_prompt="tom cruise thumbs up" \
+  --seed=51 \
+  --push_to_hub \
+  --hub_model_id=${HUB_MODEL_ID}

finetune_lora_srimanth.sh

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+export MODEL_NAME="runwayml/stable-diffusion-v1-5"
+export TRAIN_DIR="/l/vision/v5/sragas/easel_ai/thumbs_up_srimanth/"
+export OUTPUT_DIR="/l/vision/v5/sragas/easel_ai/models_srimanth/"
+export HUB_MODEL_ID="srimanth-thumbs-up-lora"
+
+accelerate launch --mixed_precision="fp16"  train_text_to_image_lora.py \
+  --pretrained_model_name_or_path=$MODEL_NAME \
+  --train_data_dir=$TRAIN_DIR \
+  --resolution=512 --center_crop --random_flip \
+  --train_batch_size=2 \
+  --gradient_accumulation_steps=4 \
+  --num_train_epochs=300 \
+  --learning_rate=1e-5 \
+  --max_grad_norm=1 \
+  --lr_scheduler="cosine" --lr_warmup_steps=500 \
+  --output_dir=${OUTPUT_DIR} \
+  --checkpointing_steps=500 \
+  --report_to=wandb \
+  --validation_prompt="<srimanth> #thumbsup" \
+  --seed=15 \
+  --push_to_hub \
+  --hub_model_id=${HUB_MODEL_ID}

finetune_lora_srimanth_plain.sh

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+export MODEL_NAME="runwayml/stable-diffusion-v1-5"
+export TRAIN_DIR="/l/vision/v5/sragas/easel_ai/thumbs_up_srimanth_plain/"
+export OUTPUT_DIR="/l/vision/v5/sragas/easel_ai/models_srimanth_plain/"
+export HUB_MODEL_ID="srimanth-thumbs-up-lora-plain"
+
+accelerate launch --mixed_precision="fp16"  train_text_to_image_lora.py \
+  --pretrained_model_name_or_path=$MODEL_NAME \
+  --train_data_dir=$TRAIN_DIR \
+  --resolution=512 --center_crop --random_flip \
+  --train_batch_size=2 \
+  --gradient_accumulation_steps=4 \
+  --num_train_epochs=300 \
+  --learning_rate=1e-5 \
+  --max_grad_norm=1 \
+  --lr_scheduler="cosine" --lr_warmup_steps=500 \
+  --output_dir=${OUTPUT_DIR} \
+  --checkpointing_steps=500 \
+  --report_to=wandb \
+  --validation_prompt="srimanth thumbs up" \
+  --seed=15 \
+  --push_to_hub \
+  --hub_model_id=${HUB_MODEL_ID}

hf_dataset.py

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+import os
+import json
+import requests
+import random
+from PIL import Image
+import torch
+from transformers import BlipProcessor, BlipForConditionalGeneration
+from tqdm import tqdm
+import pandas as pd
+
+def caption_images(image_paths, processor, model, folder):
+    image_captions_dict = []
+    for img_path in tqdm(image_paths):
+        pil_image = Image.open(img_path).convert('RGB')
+        image_name = img_path.split("/")[-1]
+        # unconditional image captioning
+        inputs = processor(pil_image, return_tensors="pt").to("cuda")
+        out = model.generate(**inputs)
+        out_caption = processor.decode(out[0], skip_special_tokens=True)
+
+        if folder=="images/" and "thumbs up" in out_caption:
+            out_caption = out_caption.replace("thumbs up", "#thumbsup")
+        elif folder=="images/":
+            th_choice = random.choice([True, False])
+            out_caption = "#thumbsup " + out_caption if th_choice else out_caption + " #thumbsup"
+        elif folder=="tom_cruise_dataset/":
+            if "man" in out_caption:
+                out_caption = out_caption.replace("man", "<tom_cruise>")
+            elif "person" in out_caption:
+                out_caption = out_caption.replace("person", "<tom_cruise>")
+            else:
+                out_caption = "<tom_cruise> " + out_caption
+
+        # For some reason, the model puts the word "arafed" for a human
+        if "arafed" in out_caption:
+            out_caption = out_caption.replace("arafed ", "")
+
+        image_captions_dict.append({"file_name": folder+image_name, "text": out_caption})
+    return image_captions_dict
+
+
+def create_thumbs_up_person_dataset(path, cache_dir="/l/vision/v5/sragas/hf_models/"):
+    random.seed(15)
+    image_captions_dict = []
+
+    processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-large")
+    model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-large",
+                                                         cache_dir=cache_dir,
+                                                         torch_dtype=torch.float32).to("cuda")
+
+    # Caption the thumbs up images for prompts
+    image_paths = [path + "images/" + file for file in os.listdir(path+"images/")]
+    # Read from the person dataset
+    person_paths = [path + "tom_cruise_dataset/" + file for file in sorted(os.listdir(path+"tom_cruise_dataset/"))]
+
+    # If person is sachin, prompts are the filenames, use the below code.
+    # person_filenames = [filename.split("/")[-1] for filename in person_paths]
+    # person_captions = [filename.split(".")[0].replace("1", "<sachin>") for filename in person_filenames]
+    # persons_dict = [{"file_name": "sachin_dataset/" + filename, "text": caption} for filename, caption in zip(person_filenames, person_captions)]
+    # image_captions_dict.extend(persons_dict)
+
+    image_captions_dict.extend(caption_images(person_paths, processor, model, "tom_cruise_dataset/"))
+    image_captions_dict.extend(caption_images(image_paths, processor, model, "images/"))
+
+    # with open(f"{path}metadata.jsonl", 'w') as fp:
+    #     json.dump(image_captions_dict, fp)
+
+    image_captions_dict = pd.DataFrame(image_captions_dict)
+    image_captions_dict.to_csv(f"{path}metadata.csv", index=False)
+    image_captions_dict.to_csv(f"metadata.csv", index=False)
+
+
+if __name__ == "__main__":
+    images_dir = "/l/vision/v5/sragas/easel_ai/thumbs_up_dataset/"
+    create_thumbs_up_person_dataset(images_dir)

hf_dataset_no_cap.py

@@ -0,0 +1,27 @@
+import os
+import pandas as pd
+
+def create_thumbs_up_person_dataset(path):
+    image_captions_dict = []
+
+    # Caption the thumbs up images for prompts
+    image_paths = [path + "images/" + file for file in os.listdir(path+"images/")]
+    # Read from the person dataset
+    person_paths = [path + "tom_cruise_dataset/" + file for file in sorted(os.listdir(path+"tom_cruise_dataset/"))]
+
+    image_filenames = [filename.split("/")[-1] for filename in image_paths]
+    image_captions_dict = [{"file_name": f"images/{filename}", "text": "#thumbs_up"} for filename in image_filenames]
+
+    person_filenames = [filename.split("/")[-1] for filename in person_paths]
+    person_captions = [{"file_name": f"tom_cruise_dataset/{filename}", "text": "<tom_cruise>"} for filename in person_filenames]
+
+    image_captions_dict.extend(person_captions)
+
+    image_captions_dict = pd.DataFrame(image_captions_dict)
+    image_captions_dict.to_csv(f"{path}metadata.csv", index=False)
+    image_captions_dict.to_csv(f"metadata_no_cap.csv", index=False)
+
+
+if __name__ == "__main__":
+    images_dir = "/l/vision/v5/sragas/easel_ai/thumbs_up_no_cap_dataset/"
+    create_thumbs_up_person_dataset(images_dir)

hf_dataset_plain.py

@@ -0,0 +1,63 @@
+import os
+import requests
+import random
+from PIL import Image
+import torch
+from transformers import BlipProcessor, BlipForConditionalGeneration
+from tqdm import tqdm
+import pandas as pd
+
+def caption_images(image_paths, processor, model, folder):
+    image_captions_dict = []
+    for img_path in tqdm(image_paths):
+        pil_image = Image.open(img_path).convert('RGB')
+        image_name = img_path.split("/")[-1]
+        # unconditional image captioning
+        inputs = processor(pil_image, return_tensors="pt").to("cuda")
+        out = model.generate(**inputs)
+        out_caption = processor.decode(out[0], skip_special_tokens=True)
+
+        if folder=="images/" and "thumbs up" not in out_caption:
+            th_choice = random.choice([True, False])
+            out_caption = "thumbs up " + out_caption if th_choice else out_caption + " thumbs up"
+        elif folder=="tom_cruise_dataset/":
+            if "man" in out_caption:
+                out_caption = out_caption.replace("man", "tom cruise")
+            elif "person" in out_caption:
+                out_caption = out_caption.replace("person", "tom cruise")
+            elif "tom cruise" not in out_caption:
+                out_caption = "tom_cruise " + out_caption
+
+        # For some reason, the model puts the word "arafed" for a human
+        if "arafed" in out_caption:
+            out_caption = out_caption.replace("arafed ", "")
+
+        image_captions_dict.append({"file_name": folder+image_name, "text": out_caption})
+    return image_captions_dict
+
+
+def create_thumbs_up_person_dataset(path, cache_dir="/l/vision/v5/sragas/hf_models/"):
+    random.seed(15)
+    image_captions_dict = []
+
+    processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-large")
+    model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-large",
+                                                         cache_dir=cache_dir,
+                                                         torch_dtype=torch.float32).to("cuda")
+
+    # Caption the thumbs up images for prompts
+    image_paths = [path + "images/" + file for file in os.listdir(path+"images/")]
+    # Read from the person dataset
+    person_paths = [path + "tom_cruise_dataset/" + file for file in sorted(os.listdir(path+"tom_cruise_dataset/"))]
+
+    image_captions_dict.extend(caption_images(person_paths, processor, model, "tom_cruise_dataset/"))
+    image_captions_dict.extend(caption_images(image_paths, processor, model, "images/"))
+
+    image_captions_dict = pd.DataFrame(image_captions_dict)
+    image_captions_dict.to_csv(f"{path}metadata.csv", index=False)
+    image_captions_dict.to_csv(f"metadata_plain.csv", index=False)
+
+
+if __name__ == "__main__":
+    images_dir = "/l/vision/v5/sragas/easel_ai/thumbs_up_plain_dataset/"
+    create_thumbs_up_person_dataset(images_dir)

hf_dataset_srimanth.py

@@ -0,0 +1,67 @@
+import os
+import json
+import requests
+import random
+from PIL import Image
+import torch
+from transformers import BlipProcessor, BlipForConditionalGeneration
+from tqdm import tqdm
+import pandas as pd
+
+def caption_images(image_paths, processor, model, folder):
+    image_captions_dict = []
+    for img_path in tqdm(image_paths):
+        pil_image = Image.open(img_path).convert('RGB')
+        image_name = img_path.split("/")[-1]
+        # unconditional image captioning
+        inputs = processor(pil_image, return_tensors="pt").to("cuda")
+        out = model.generate(**inputs)
+        out_caption = processor.decode(out[0], skip_special_tokens=True)
+
+        if folder=="images/" and "thumbs up" in out_caption:
+            out_caption = out_caption.replace("thumbs up", "#thumbsup")
+        elif folder=="images/":
+            th_choice = random.choice([True, False])
+            out_caption = "#thumbsup " + out_caption if th_choice else out_caption + " #thumbsup"
+        elif folder=="srimanth_dataset/":
+            if "man" in out_caption:
+                out_caption = out_caption.replace("man", "<srimanth>")
+            elif "person" in out_caption:
+                out_caption = out_caption.replace("person", "<srimanth>")
+            else:
+                out_caption = "<srimanth> " + out_caption
+
+        # For some reason, the model puts the word "arafed" for a human
+        if "arafed" in out_caption:
+            out_caption = out_caption.replace("arafed ", "")
+
+        image_captions_dict.append({"file_name": folder+image_name, "text": out_caption})
+    return image_captions_dict
+
+
+def create_thumbs_up_person_dataset(path, cache_dir="/l/vision/v5/sragas/hf_models/"):
+    random.seed(15)
+    image_captions_dict = []
+
+    processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-large")
+    model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-large",
+                                                         cache_dir=cache_dir,
+                                                         torch_dtype=torch.float32).to("cuda")
+
+    # Caption the thumbs up images for prompts
+    image_paths = [path + "images/" + file for file in os.listdir(path+"images/")]
+    # Read from the person dataset
+    person_paths = [path + "srimanth_dataset/" + file for file in sorted(os.listdir(path+"srimanth_dataset/"))]
+
+    image_captions_dict.extend(caption_images(person_paths, processor, model, "srimanth_dataset/"))
+    image_captions_dict.extend(caption_images(image_paths, processor, model, "images/"))
+
+
+    image_captions_dict = pd.DataFrame(image_captions_dict)
+    image_captions_dict.to_csv(f"{path}metadata.csv", index=False)
+    image_captions_dict.to_csv(f"metadata_srimanth.csv", index=False)
+
+
+if __name__ == "__main__":
+    images_dir = "/l/vision/v5/sragas/easel_ai/thumbs_up_srimanth/"
+    create_thumbs_up_person_dataset(images_dir)

hf_dataset_srimanth_plain.py

@@ -0,0 +1,61 @@
+import os
+import requests
+import random
+from PIL import Image
+import torch
+from transformers import BlipProcessor, BlipForConditionalGeneration
+from tqdm import tqdm
+import pandas as pd
+
+def caption_images(image_paths, processor, model, folder):
+    image_captions_dict = []
+    for img_path in tqdm(image_paths):
+        pil_image = Image.open(img_path).convert("RGB")
+        image_name = img_path.split("/")[-1]
+        # unconditional image captioning
+        inputs = processor(pil_image, return_tensors="pt").to("cuda")
+        out = model.generate(**inputs)
+        out_caption = processor.decode(out[0], skip_special_tokens=True)
+
+        if folder=="images/" and "thumbs up" not in out_caption:
+            th_choice = random.choice([True, False])
+            out_caption = "thumbs up " + out_caption if th_choice else out_caption + " thumbs up"
+        elif folder=="srimanth_dataset/":
+            if "man" in out_caption:
+                out_caption = out_caption.replace("man", "srimanth")
+            elif "person" in out_caption:
+                out_caption = out_caption.replace("person", "srimanth")
+
+        # For some reason, the model puts the word "arafed" for a human
+        if "arafed" in out_caption:
+            out_caption = out_caption.replace("arafed ", "")
+
+        image_captions_dict.append({"file_name": folder+image_name, "text": out_caption})
+    return image_captions_dict
+
+
+def create_thumbs_up_person_dataset(path, cache_dir="/l/vision/v5/sragas/hf_models/"):
+    random.seed(15)
+    image_captions_dict = []
+
+    processor = BlipProcessor.from_pretrained("Salesforce/blip-image-captioning-large")
+    model = BlipForConditionalGeneration.from_pretrained("Salesforce/blip-image-captioning-large",
+                                                         cache_dir=cache_dir,
+                                                         torch_dtype=torch.float32).to("cuda")
+
+    # Caption the thumbs up images for prompts
+    image_paths = [path + "images/" + file for file in os.listdir(path+"images/")]
+    # Read from the person dataset
+    person_paths = [path + "srimanth_dataset/" + file for file in sorted(os.listdir(path+"srimanth_dataset/"))]
+
+    image_captions_dict.extend(caption_images(person_paths, processor, model, "srimanth_dataset/"))
+    image_captions_dict.extend(caption_images(image_paths, processor, model, "images/"))
+
+    image_captions_dict = pd.DataFrame(image_captions_dict)
+    image_captions_dict.to_csv(f"{path}metadata.csv", index=False)
+    image_captions_dict.to_csv(f"metadata_srimanth_plain.csv", index=False)
+
+
+if __name__ == "__main__":
+    images_dir = "/l/vision/v5/sragas/easel_ai/thumbs_up_srimanth_plain/"
+    create_thumbs_up_person_dataset(images_dir)

inference.py

@@ -0,0 +1,44 @@
+import os
+from huggingface_hub import model_info
+
+import torch
+from diffusers import StableDiffusionPipeline, DPMSolverMultistepScheduler
+
+
+def main():
+    REPOS = {
+        "tom_cruise_plain": {"hub_model_id": "asrimanth/person-thumbs-up-plain-lora", "model_dir": "/l/vision/v5/sragas/easel_ai/models_plain/"},
+        "tom_cruise": {"hub_model_id": "asrimanth/person-thumbs-up-lora", "model_dir": "/l/vision/v5/sragas/easel_ai/models/"},
+        "tom_cruise_no_cap": {"hub_model_id": "asrimanth/person-thumbs-up-lora-no-cap", "model_dir": "/l/vision/v5/sragas/easel_ai/models_no_cap/"}
+    }
+    N_IMAGES = 50
+    current_repo_id = "tom_cruise_plain"
+
+    SAVE_DIR = f"./results/{current_repo_id}/"
+    os.makedirs(SAVE_DIR, exist_ok=True)
+
+    current_repo = REPOS[current_repo_id]
+
+    print(f"{'-'*20} CURRENT REPO: {current_repo_id} {'-'*20}")
+    hub_model_id = current_repo["hub_model_id"]
+    model_dir = current_repo["model_dir"]
+
+    info = model_info(hub_model_id)
+    model_base = info.cardData["base_model"]
+    print(f"Base model is: {model_base}")
+
+    pipe = StableDiffusionPipeline.from_pretrained(model_base, torch_dtype=torch.float16, cache_dir="/l/vision/v5/sragas/hf_models/")
+    pipe.scheduler = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config)
+
+    pipe.unet.load_attn_procs(hub_model_id)
+    pipe.to("cuda")
+
+    generators = [torch.Generator("cuda").manual_seed(i) for i in range(N_IMAGES)]
+    prompt = "Tom cruise showing thumbs up"
+    print(f"Inferencing '{prompt}' for {N_IMAGES} images.")
+    for i in range(N_IMAGES):
+        image = pipe(prompt, generator=generators[i], num_inference_steps=25).images[0]
+        image.save(f"{SAVE_DIR}out_{i}.png")
+
+if __name__ == "__main__":
+    main()

metadata.csv

@@ -0,0 +1,229 @@
+file_name,text
+tom_cruise_dataset/00000005.jpg,<tom_cruise> with a microphone smiling and wearing a green shirt
+tom_cruise_dataset/00000008.jpg,image of a <tom_cruise> in a suit smiling at the camera
+tom_cruise_dataset/00000011.jpg,a close up of a <tom_cruise> in a suit smiling at the camera
+tom_cruise_dataset/00000012.jpg,<tom_cruise> in a blue suit and white shirt posing for a picture
+tom_cruise_dataset/00000013.jpg,<tom_cruise> in white shirt smiling and sitting in front of a crowd
+tom_cruise_dataset/00000015.jpg,<tom_cruise> with a blue shirt smiling and wearing a denim jacket
+tom_cruise_dataset/00000017.jpg,image of a <tom_cruise> in a suit smiling at the camera
+tom_cruise_dataset/00000019.jpg,image of a <tom_cruise> smiling and wearing a suit
+tom_cruise_dataset/00000020.jpg,<tom_cruise> in a tuxedo and bow tie smiling for the camera
+tom_cruise_dataset/00000021.jpg,<tom_cruise> in a blue suit smiling and looking at the camera
+tom_cruise_dataset/00000022.jpg,<tom_cruise> in a blue suit smiling and looking at the camera
+tom_cruise_dataset/00000023.jpg,<tom_cruise> in a suit and tie smiling at the camera
+tom_cruise_dataset/00000025.jpg,<tom_cruise> tom cruise attends the uk premiere of'mission'at the empire cinema on may 18 2013 in
+tom_cruise_dataset/00000026.jpg,<tom_cruise> in a suit and tie posing for a picture
+tom_cruise_dataset/00000027.jpg,<tom_cruise> in a suit and tie smiling at the camera
+tom_cruise_dataset/00000028.jpg,image of a <tom_cruise> in a suit and black shirt
+tom_cruise_dataset/00000029.jpg,image of a <tom_cruise> in a suit smiling at the camera
+tom_cruise_dataset/00000030.jpg,a close up of a <tom_cruise> in a suit smiling at the camera
+tom_cruise_dataset/00000032.jpg,<tom_cruise> in a suit and tie smiling at the camera
+tom_cruise_dataset/00000034.jpg,<tom_cruise> in a blue suit and tie smiling at the camera
+tom_cruise_dataset/00000035.jpg,image of a <tom_cruise> in a suit and tie smiling
+tom_cruise_dataset/00000036.jpg,<tom_cruise> in a suit and tie standing in front of a wall
+tom_cruise_dataset/00000037.jpg,"<tom_cruise> tom cruise, tom cruise, tom cruise, tom cruise, tom cruise, tom cruise, tom"
+tom_cruise_dataset/00000038.jpg,<tom_cruise> in a suit and pink shirt smiling at the camera
+tom_cruise_dataset/00000040.jpg,image of a <tom_cruise> in a blue suit smiling
+tom_cruise_dataset/00000041.jpg,<tom_cruise> actor tom carr attends the oscars at the dolby theatre on march 24 2017 in los california
+tom_cruise_dataset/00000044.jpg,<tom_cruise> in a blue sweater and jeans waves to the camera
+tom_cruise_dataset/00000045.jpg,there is a <tom_cruise> in a suit posing for a picture
+tom_cruise_dataset/00000050.jpg,<tom_cruise> in a black jacket and polka dot shirt
+tom_cruise_dataset/00000052.jpg,<tom_cruise> with a black shirt and a black shirt
+tom_cruise_dataset/00000053.jpg,"<tom_cruise> tom cruise at the los premiere of his new movie, mission"
+tom_cruise_dataset/00000054.jpg,<tom_cruise> in a blue suit standing on a red carpet
+tom_cruise_dataset/00000055.jpg,there is a <tom_cruise> in a suit and tie smiling for the camera
+tom_cruise_dataset/00000057.jpg,<tom_cruise> actor tom cruise attends the'mission'press conference at the four seasons hotel on july 19 2017
+tom_cruise_dataset/00000058.jpg,image of a <tom_cruise> in a suit and tie smiling
+tom_cruise_dataset/00000061.jpg,<tom_cruise> tom cruise attends the uk premiere of'mission'at the empire cinema on may 18 2013 in
+tom_cruise_dataset/00000062.jpg,<tom_cruise> in a suit and tie standing in front of a microphone
+tom_cruise_dataset/00000063.jpg,image of a <tom_cruise> in a tuxedo and a <tom_cruise> in a suit
+tom_cruise_dataset/00000064.jpg,"<tom_cruise> tom cruise at the premiere of his new movie'mission'in los, california, usa -"
+tom_cruise_dataset/00000065.jpg,<tom_cruise> in a suit and tie looking at the camera
+tom_cruise_dataset/00000066.jpg,<tom_cruise> in a suit and tie smiling at the camera
+tom_cruise_dataset/00000068.jpg,<tom_cruise> in a suit and tie speaking into a microphone
+tom_cruise_dataset/00000069.jpg,image of a <tom_cruise> in a suit and tie smiling
+tom_cruise_dataset/00000071.jpg,image of a <tom_cruise> in a suit smiling for the camera
+tom_cruise_dataset/00000076.jpg,a close up of a <tom_cruise> wearing sunglasses and a jacket
+tom_cruise_dataset/00000078.jpg,<tom_cruise> in a suit and tie smiling at the camera
+tom_cruise_dataset/00000079.jpg,<tom_cruise> with sunglasses and a tie smiling at the camera
+tom_cruise_dataset/00000083.jpg,<tom_cruise> in a suit and tie standing on a red carpet
+tom_cruise_dataset/00000085.jpg,<tom_cruise> in a tuxedo and bow tie smiling for the camera
+tom_cruise_dataset/00000087.jpg,<tom_cruise> in a tuxedo smiling at the camera
+tom_cruise_dataset/00000088.jpg,there is a <tom_cruise> and a wo<tom_cruise> talking in a crowded area
+tom_cruise_dataset/00000097.jpg,<tom_cruise> with a blue shirt and a black jacket smiling
+tom_cruise_dataset/00000100.jpg,a smiling <tom_cruise> in a suit and turtle neck sweater
+tom_cruise_dataset/00000102.jpg,<tom_cruise> making a heart with his hands while walking down the street
+tom_cruise_dataset/00000105.jpg,image of a <tom_cruise> in a suit smiling for the camera
+tom_cruise_dataset/00000106.jpg,a close up of a <tom_cruise> in a black shirt standing in front of a window
+tom_cruise_dataset/00000108.jpg,image of a <tom_cruise> with sunglasses and a jacket
+tom_cruise_dataset/00000109.jpg,<tom_cruise> tom cruise at the premiere of the mummys
+tom_cruise_dataset/00000110.jpg,<tom_cruise> in a blue suit and sunglasses standing on a red carpet
+tom_cruise_dataset/00000111.jpg,<tom_cruise> with a black shirt and a black tie
+tom_cruise_dataset/00000113.jpg,<tom_cruise> in a suit and tie smiling at the camera
+tom_cruise_dataset/00000116.jpg,image of a <tom_cruise> sitting on a couch with his eyes closed
+tom_cruise_dataset/00000117.jpg,a close up of a <tom_cruise> in a jacket smiling at the camera
+tom_cruise_dataset/00000119.jpg,<tom_cruise> actor tom cruise attends the'the mummys'photocall at the 2012 tribe tribe film
+tom_cruise_dataset/00000120.jpg,<tom_cruise> in a suit and tie smiling at the camera
+tom_cruise_dataset/00000121.jpg,a <tom_cruise> in a suit and tie posing for the camera on the red carpet of the bafta awards
+tom_cruise_dataset/00000124.jpg,there is a <tom_cruise> in a blue suit and sunglasses walking down the street
+tom_cruise_dataset/00000125.jpg,<tom_cruise> in a blue suit standing in front of a crowd of photographers
+tom_cruise_dataset/00000127.jpg,araffled <tom_cruise> standing in front of an airplane at an airport
+tom_cruise_dataset/00000128.jpg,image of a <tom_cruise> in a tuxedo smiling at the camera
+tom_cruise_dataset/00000129.jpg,there is a <tom_cruise> in a suit and tie talking to another <tom_cruise>
+tom_cruise_dataset/00000131.jpg,<tom_cruise> tom cruise smiling at the premiere of his new movie
+tom_cruise_dataset/00000134.jpg,<tom_cruise> in a blue suit and sunglasses standing on a red carpet
+tom_cruise_dataset/00000135.jpg,<tom_cruise> in a suit smiling and wearing a microphone
+tom_cruise_dataset/00000138.jpg,<tom_cruise> in a blue suit and tie standing in front of a wall
+tom_cruise_dataset/00000141.jpg,a <tom_cruise> in a suit and tie smiling at the camera with an oscar statue behind him - stock
+tom_cruise_dataset/00000142.jpg,<tom_cruise> with a surprised look on his face
+tom_cruise_dataset/00000143.jpg,<tom_cruise> in sunglasses and a blue shirt smiling for the camera
+tom_cruise_dataset/00000144.jpg,there is a <tom_cruise> in a suit sitting on a bed
+tom_cruise_dataset/00000148.jpg,smiling wo<tom_cruise> with dark hair and black shirt sitting in front of a microphone
+tom_cruise_dataset/00000149.jpg,there is a <tom_cruise> in a suit and tie looking at something
+tom_cruise_dataset/00000152.jpg,<tom_cruise> tom cruise is smiling and wearing sunglasses on the red carpet
+tom_cruise_dataset/00000153.jpg,image of a <tom_cruise> in a suit and tie smiling
+tom_cruise_dataset/00000154.jpg,a close up of a <tom_cruise> in a suit and tie next to a boat
+tom_cruise_dataset/00000155.jpg,"<tom_cruise> tom cruise at the los premiere of his new movie, the aviator, at the arc theater in"
+tom_cruise_dataset/00000157.jpg,<tom_cruise> in black shirt looking at camera with crowd in background
+tom_cruise_dataset/00000158.jpg,a close up of a smiling <tom_cruise> in a suit and turtle neck sweater
+tom_cruise_dataset/00000161.jpg,<tom_cruise> in a blue shirt making a heart sign
+tom_cruise_dataset/00000163.jpg,a close up of a <tom_cruise> in a suit and sunglasses
+tom_cruise_dataset/00000164.jpg,image of a <tom_cruise> in a suit and sunglasses next to a picture of a <tom_cruise>
+tom_cruise_dataset/00000165.jpg,a smiling young <tom_cruise> in a suit and tie standing on a red carpet at a film festival stock
+tom_cruise_dataset/00000167.jpg,a close up of a <tom_cruise> with long hair and a jacket
+tom_cruise_dataset/00000169.jpg,a <tom_cruise> in a suit and tie posing for a picture at the premiere of mission
+tom_cruise_dataset/00000170.jpg,black and white photo of a <tom_cruise> sitting on a suitcase
+tom_cruise_dataset/00000172.jpg,<tom_cruise> standing in front of a body of water
+tom_cruise_dataset/00000176.jpg,<tom_cruise> tom cruise is smiling and posing for a picture
+tom_cruise_dataset/00000178.jpg,<tom_cruise> in a tuxedo smiling at the camera
+tom_cruise_dataset/00000179.jpg,image of a <tom_cruise> in a suit smiling for the camera
+tom_cruise_dataset/00000180.jpg,<tom_cruise> in a blue shirt and a camera<tom_cruise> in a crowd
+tom_cruise_dataset/00000183.jpg,image of a smiling <tom_cruise> in a suit and tie
+tom_cruise_dataset/00000184.jpg,image of a <tom_cruise> in a suit holding a golden globe
+tom_cruise_dataset/00000185.jpg,<tom_cruise> with a blue shirt and a tie smiling
+tom_cruise_dataset/00000187.jpg,image of a <tom_cruise> in a tuxedo and bow tie
+tom_cruise_dataset/00000189.jpg,<tom_cruise> tom cruise at the uk premiere of mission impossible in london
+tom_cruise_dataset/00000192.jpg,<tom_cruise> in a suit and tie smiling at the camera
+tom_cruise_dataset/00000195.jpg,<tom_cruise> tom cruise is smiling and wearing a black shirt
+tom_cruise_dataset/00000196.jpg,there is a <tom_cruise> in a suit and tie walking down a flight of stairs
+images/25123944463_acde8a9f63_k.jpg,#thumbsup there is a man that is standing on a yellow bus
+images/32270712532_987cc2815a_k.jpg,man in a car giving the #thumbsup
+images/34426602921_929f111d44_k.jpg,blond girl in grey jacket giving #thumbsup in front of a brick building
+images/8229882989_4b9d83cbd8_b.jpg,there is a man standing in front of a mirror giving a #thumbsup
+images/afif-ramdhasuma-D1z3dwROc44-unsplash.jpg,man in a gray shirt giving a #thumbsup
+images/african-american-musician-white-brick-wall-background-cheerful-happy.jpg,smiling man with #thumbsup in front of a brick wall
+images/anil-sharma-1MBokFZpczo-unsplash.jpg,there is a woman giving a #thumbsup sign with both hands
+images/anton-luk-QbyVdWBr6iw-unsplash.jpg,there is a man sitting in a chair with a #thumbsup
+images/aziz-acharki-alANOC4E8iM-unsplash.jpg,there is a man with a hat and tie giving a #thumbsup
+images/ben-collins-vZoC33QeEqI-unsplash.jpg,smiling man in red sweatshirt giving #thumbsup in front of a white wall
+images/black-businessman-happy-expression.jpg,smiling man giving #thumbsup with a red shirt on
+images/christian-bowen-5sEwR6tdo3I-unsplash.jpg,#thumbsup man with blue paint on his face and hands
+images/divaris-shirichena-M3fGNidvbGY-unsplash.jpg,#thumbsup there is a man sitting on a ledge with his feet up
+images/eduardo-barrios-pri_qdvCxTc-unsplash.jpg,there is a woman that is giving the #thumbsup sign
+images/fethi-bouhaouchine-yHHHCu_XhYQ-unsplash.jpg,#thumbsup boy in red shirt pointing at camera with finger up
+images/flipsnack-ctse1uJie1w-unsplash.jpg,#thumbsup there is a man sitting at a desk with a computer and a laptop
+images/fotos-vuMLg29L-5Q-unsplash.jpg,man in a black shirt giving a #thumbsup
+images/omar-lopez-udctLdbAb4k-unsplash.jpg,#thumbsup there is a man standing on a field with a frisbee
+images/people-gesture-style-fashion-concept-happy-young-woman-teen-girl-casual-clothes-showing-thumbs-up.jpg,#thumbsup young woman with a thumb up on a yellow background
+images/pexels-alena-darmel-8990729.jpg,smiling woman with curly hair giving #thumbsup in a room
+images/pexels-alena-darmel-9040608.jpg,#thumbsup woman sitting on a wicker chair with a camera and a cell phone
+images/pexels-alexander-zvir-11712366.jpg,there is a man with a white beard and a vest giving a #thumbsup
+images/pexels-anastasiya-gepp-1462638.jpg,woman in a blue and white shirt pointing at something #thumbsup
+images/pexels-andrea-piacquadio-3760613.jpg,#thumbsup there is a man standing at a desk with a laptop and a pencil
+images/pexels-andrea-piacquadio-3761522.jpg,#thumbsup girl in yellow raincoat holding umbrella on street
+images/pexels-andrea-piacquadio-3767418.jpg,there is a woman with a ponytail and a yellow sweater giving a #thumbsup
+images/pexels-andrea-piacquadio-3768997.jpg,woman in yellow shirt and glasses giving #thumbsup
+images/pexels-andrea-piacquadio-3776164.jpg,man in a suit and sunglasses standing next to a red bicycle #thumbsup
+images/pexels-andrea-piacquadio-3778235.jpg,smiling man in suit holding a smart phone and giving #thumbsup
+images/pexels-andrea-piacquadio-3807770.jpg,woman with glasses and a book giving a #thumbsup
+images/pexels-antoni-shkraba-production-8374305.jpg,smiling woman sitting at a table with a laptop and #thumbsup
+images/pexels-comunidade-javé-nissi-10325933.jpg,smiling man in red shirt holding a red frisbee in his hand #thumbsup
+images/pexels-cottonbro-studio-3201694.jpg,smiling woman in red jacket sitting at a table with a laptop #thumbsup
+images/pexels-đinh-văn-lành-13322147.jpg,there is a man standing on a road with a helmet on #thumbsup
+images/pexels-ivan-samkov-5514840.jpg,there is a man with a tattooed face holding a carrot #thumbsup
+images/pexels-jo-kassis-5534382.jpg,there is a man with a beard and a cap giving a #thumbsup
+images/pexels-j-r-11010726.jpg,araffe with a man on it in front of a pyramid #thumbsup
+images/pexels-kampus-production-7893743.jpg,man in a plaid shirt and jeans standing on a dock #thumbsup
+images/pexels-kampus-production-7983627.jpg,smiling woman holding a tablet computer giving a #thumbsup
+images/pexels-kampus-production-8201199.jpg,#thumbsup smiling man sitting at a desk with a pen and paper
+images/pexels-kampus-production-8204314.jpg,#thumbsup smiling man wearing headphones and a headset sitting at a desk
+images/pexels-kampus-production-8381797.jpg,smiling woman holding a bottle of water and giving a #thumbsup
+images/pexels-kampus-production-8381800.jpg,there is a man that is giving a #thumbsup with a bottle of water
+images/pexels-kampus-production-8381803.jpg,there is a man sitting on the beach with a bottle of water #thumbsup
+images/pexels-kampus-production-8931657.jpg,there is a woman holding a bouquet of flowers and giving the #thumbsup
+images/pexels-kampus-production-8931665.jpg,woman in red shirt and red cap holding a gray folder #thumbsup
+images/pexels-karolina-grabowska-8005023.jpg,smiling woman wearing headphones and giving #thumbsup
+images/pexels-ketut-subiyanto-4909522.jpg,smiling man in blue shirt on beach with #thumbsup
+images/pexels-kindel-media-6869060.jpg,#thumbsup man in a delivery shirt standing on a ramp with a box of food
+images/pexels-kindel-media-6994314.jpg,smiling woman sitting on the floor with a book and a bunch of shopping bags #thumbsup
+images/pexels-kindel-media-7688367.jpg,smiling woman sitting at a table with a laptop and giving a #thumbsup
+images/pexels-kristina-chuprina-13364156.jpg,there is a man that is standing in front of a dj #thumbsup
+images/pexels-matheus-bertelli-13871204.jpg,woman in black sweatshirt and yellow pants giving #thumbsup
+images/pexels-mikhail-nilov-8543576.jpg,#thumbsup there is a man standing in the grass holding a red apple
+images/pexels-mohammad-sarkheili-11039684.jpg,there is a man kneeling in a field with a camera #thumbsup
+images/pexels-moni-rathnak-15399147.jpg,there is a man sitting at a table with a glass of wine #thumbsup
+images/pexels-muhammadtaha-ibrahim-2480847.jpg,there is a man that is giving the #thumbsup sign
+images/pexels-nataliya-vaitkevich-7172855.jpg,there is a woman pointing at a chart on a wall #thumbsup
+images/pexels-nikita-korchagin-11264427.jpg,#thumbsup man in a dark jacket and gloves standing in the dark
+images/pexels-oktay-köseoğlu-13610290.jpg,there is a man that is giving a #thumbsup sign
+images/pexels-pavel-danilyuk-8638026.jpg,smiling woman sitting in a chair with her arms up and hands up #thumbsup
+images/pexels-pavel-danilyuk-8638764.jpg,man in black shirt giving #thumbsup with both hands
+images/pexels-polina-zimmerman-3958828.jpg,there is a woman sitting on a chair with a red lipstick #thumbsup
+images/pexels-puwadon-sangngern-13419211.jpg,woman in a pink shirt and skirt giving a #thumbsup
+images/pexels-rdne-stock-project-7005554.jpg,woman holding a trophy and giving a #thumbsup
+images/pexels-rdne-stock-project-7580819.jpg,smiling man in party hat with #thumbsup and a flower
+images/pexels-rdne-stock-project-7581116.jpg,smiling man in vest and tie giving #thumbsup in office
+images/pexels-rdne-stock-project-7686324.jpg,araffe dressed man in red and gold standing in front of a fountain #thumbsup
+images/pexels-rdne-stock-project-7713137.jpg,there is a man in a graduation gown and cap and gown giving a #thumbsup
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metadata_plain.csv

@@ -0,0 +1,229 @@
+file_name,text
+tom_cruise_dataset/00000005.jpg,tom cruise with a microphone smiling and wearing a green shirt
+tom_cruise_dataset/00000008.jpg,image of a tom cruise in a suit smiling at the camera
+tom_cruise_dataset/00000011.jpg,a close up of a tom cruise in a suit smiling at the camera
+tom_cruise_dataset/00000012.jpg,tom cruise in a blue suit and white shirt posing for a picture
+tom_cruise_dataset/00000013.jpg,tom cruise in white shirt smiling and sitting in front of a crowd
+tom_cruise_dataset/00000015.jpg,tom cruise with a blue shirt smiling and wearing a denim jacket
+tom_cruise_dataset/00000017.jpg,image of a tom cruise in a suit smiling at the camera
+tom_cruise_dataset/00000019.jpg,image of a tom cruise smiling and wearing a suit
+tom_cruise_dataset/00000020.jpg,tom cruise in a tuxedo and bow tie smiling for the camera
+tom_cruise_dataset/00000021.jpg,tom cruise in a blue suit smiling and looking at the camera
+tom_cruise_dataset/00000022.jpg,tom cruise in a blue suit smiling and looking at the camera
+tom_cruise_dataset/00000023.jpg,tom cruise in a suit and tie smiling at the camera
+tom_cruise_dataset/00000025.jpg,tom cruise attends the uk premiere of'mission'at the empire cinema on may 18 2013 in
+tom_cruise_dataset/00000026.jpg,tom cruise in a suit and tie posing for a picture
+tom_cruise_dataset/00000027.jpg,tom cruise in a suit and tie smiling at the camera
+tom_cruise_dataset/00000028.jpg,image of a tom cruise in a suit and black shirt
+tom_cruise_dataset/00000029.jpg,image of a tom cruise in a suit smiling at the camera
+tom_cruise_dataset/00000030.jpg,a close up of a tom cruise in a suit smiling at the camera
+tom_cruise_dataset/00000032.jpg,tom cruise in a suit and tie smiling at the camera
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+tom_cruise_dataset/00000035.jpg,image of a tom cruise in a suit and tie smiling
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+tom_cruise_dataset/00000037.jpg,"tom cruise, tom cruise, tom cruise, tom cruise, tom cruise, tom cruise, tom"
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+tom_cruise_dataset/00000040.jpg,image of a tom cruise in a blue suit smiling
+tom_cruise_dataset/00000041.jpg,tom_cruise actor tom carr attends the oscars at the dolby theatre on march 24 2017 in los california
+tom_cruise_dataset/00000044.jpg,tom cruise in a blue sweater and jeans waves to the camera
+tom_cruise_dataset/00000045.jpg,there is a tom cruise in a suit posing for a picture
+tom_cruise_dataset/00000050.jpg,tom cruise in a black jacket and polka dot shirt
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+tom_cruise_dataset/00000053.jpg,"tom cruise at the los premiere of his new movie, mission"
+tom_cruise_dataset/00000054.jpg,tom cruise in a blue suit standing on a red carpet
+tom_cruise_dataset/00000055.jpg,there is a tom cruise in a suit and tie smiling for the camera
+tom_cruise_dataset/00000057.jpg,actor tom cruise attends the'mission'press conference at the four seasons hotel on july 19 2017
+tom_cruise_dataset/00000058.jpg,image of a tom cruise in a suit and tie smiling
+tom_cruise_dataset/00000061.jpg,tom cruise attends the uk premiere of'mission'at the empire cinema on may 18 2013 in
+tom_cruise_dataset/00000062.jpg,tom cruise in a suit and tie standing in front of a microphone
+tom_cruise_dataset/00000063.jpg,image of a tom cruise in a tuxedo and a tom cruise in a suit
+tom_cruise_dataset/00000064.jpg,"tom cruise at the premiere of his new movie'mission'in los, california, usa -"
+tom_cruise_dataset/00000065.jpg,tom cruise in a suit and tie looking at the camera
+tom_cruise_dataset/00000066.jpg,tom cruise in a suit and tie smiling at the camera
+tom_cruise_dataset/00000068.jpg,tom cruise in a suit and tie speaking into a microphone
+tom_cruise_dataset/00000069.jpg,image of a tom cruise in a suit and tie smiling
+tom_cruise_dataset/00000071.jpg,image of a tom cruise in a suit smiling for the camera
+tom_cruise_dataset/00000076.jpg,a close up of a tom cruise wearing sunglasses and a jacket
+tom_cruise_dataset/00000078.jpg,tom cruise in a suit and tie smiling at the camera
+tom_cruise_dataset/00000079.jpg,tom cruise with sunglasses and a tie smiling at the camera
+tom_cruise_dataset/00000083.jpg,tom cruise in a suit and tie standing on a red carpet
+tom_cruise_dataset/00000085.jpg,tom cruise in a tuxedo and bow tie smiling for the camera
+tom_cruise_dataset/00000087.jpg,tom cruise in a tuxedo smiling at the camera
+tom_cruise_dataset/00000088.jpg,there is a tom cruise and a wotom cruise talking in a crowded area
+tom_cruise_dataset/00000097.jpg,tom cruise with a blue shirt and a black jacket smiling
+tom_cruise_dataset/00000100.jpg,a smiling tom cruise in a suit and turtle neck sweater
+tom_cruise_dataset/00000102.jpg,tom cruise making a heart with his hands while walking down the street
+tom_cruise_dataset/00000105.jpg,image of a tom cruise in a suit smiling for the camera
+tom_cruise_dataset/00000106.jpg,a close up of a tom cruise in a black shirt standing in front of a window
+tom_cruise_dataset/00000108.jpg,image of a tom cruise with sunglasses and a jacket
+tom_cruise_dataset/00000109.jpg,tom cruise at the premiere of the mummys
+tom_cruise_dataset/00000110.jpg,tom cruise in a blue suit and sunglasses standing on a red carpet
+tom_cruise_dataset/00000111.jpg,tom cruise with a black shirt and a black tie
+tom_cruise_dataset/00000113.jpg,tom cruise in a suit and tie smiling at the camera
+tom_cruise_dataset/00000116.jpg,image of a tom cruise sitting on a couch with his eyes closed
+tom_cruise_dataset/00000117.jpg,a close up of a tom cruise in a jacket smiling at the camera
+tom_cruise_dataset/00000119.jpg,actor tom cruise attends the'the mummys'photocall at the 2012 tribe tribe film
+tom_cruise_dataset/00000120.jpg,tom cruise in a suit and tie smiling at the camera
+tom_cruise_dataset/00000121.jpg,a tom cruise in a suit and tie posing for the camera on the red carpet of the bafta awards
+tom_cruise_dataset/00000124.jpg,there is a tom cruise in a blue suit and sunglasses walking down the street
+tom_cruise_dataset/00000125.jpg,tom cruise in a blue suit standing in front of a crowd of photographers
+tom_cruise_dataset/00000127.jpg,araffled tom cruise standing in front of an airplane at an airport
+tom_cruise_dataset/00000128.jpg,image of a tom cruise in a tuxedo smiling at the camera
+tom_cruise_dataset/00000129.jpg,there is a tom cruise in a suit and tie talking to another tom cruise
+tom_cruise_dataset/00000131.jpg,tom cruise smiling at the premiere of his new movie
+tom_cruise_dataset/00000134.jpg,tom cruise in a blue suit and sunglasses standing on a red carpet
+tom_cruise_dataset/00000135.jpg,tom cruise in a suit smiling and wearing a microphone
+tom_cruise_dataset/00000138.jpg,tom cruise in a blue suit and tie standing in front of a wall
+tom_cruise_dataset/00000141.jpg,a tom cruise in a suit and tie smiling at the camera with an oscar statue behind him - stock
+tom_cruise_dataset/00000142.jpg,tom cruise with a surprised look on his face
+tom_cruise_dataset/00000143.jpg,tom cruise in sunglasses and a blue shirt smiling for the camera
+tom_cruise_dataset/00000144.jpg,there is a tom cruise in a suit sitting on a bed
+tom_cruise_dataset/00000148.jpg,smiling wotom cruise with dark hair and black shirt sitting in front of a microphone
+tom_cruise_dataset/00000149.jpg,there is a tom cruise in a suit and tie looking at something
+tom_cruise_dataset/00000152.jpg,tom cruise is smiling and wearing sunglasses on the red carpet
+tom_cruise_dataset/00000153.jpg,image of a tom cruise in a suit and tie smiling
+tom_cruise_dataset/00000154.jpg,a close up of a tom cruise in a suit and tie next to a boat
+tom_cruise_dataset/00000155.jpg,"tom cruise at the los premiere of his new movie, the aviator, at the arc theater in"
+tom_cruise_dataset/00000157.jpg,tom cruise in black shirt looking at camera with crowd in background
+tom_cruise_dataset/00000158.jpg,a close up of a smiling tom cruise in a suit and turtle neck sweater
+tom_cruise_dataset/00000161.jpg,tom cruise in a blue shirt making a heart sign
+tom_cruise_dataset/00000163.jpg,a close up of a tom cruise in a suit and sunglasses
+tom_cruise_dataset/00000164.jpg,image of a tom cruise in a suit and sunglasses next to a picture of a tom cruise
+tom_cruise_dataset/00000165.jpg,a smiling young tom cruise in a suit and tie standing on a red carpet at a film festival stock
+tom_cruise_dataset/00000167.jpg,a close up of a tom cruise with long hair and a jacket
+tom_cruise_dataset/00000169.jpg,a tom cruise in a suit and tie posing for a picture at the premiere of mission
+tom_cruise_dataset/00000170.jpg,black and white photo of a tom cruise sitting on a suitcase
+tom_cruise_dataset/00000172.jpg,tom cruise standing in front of a body of water
+tom_cruise_dataset/00000176.jpg,tom cruise is smiling and posing for a picture
+tom_cruise_dataset/00000178.jpg,tom cruise in a tuxedo smiling at the camera
+tom_cruise_dataset/00000179.jpg,image of a tom cruise in a suit smiling for the camera
+tom_cruise_dataset/00000180.jpg,tom cruise in a blue shirt and a cameratom cruise in a crowd
+tom_cruise_dataset/00000183.jpg,image of a smiling tom cruise in a suit and tie
+tom_cruise_dataset/00000184.jpg,image of a tom cruise in a suit holding a golden globe
+tom_cruise_dataset/00000185.jpg,tom cruise with a blue shirt and a tie smiling
+tom_cruise_dataset/00000187.jpg,image of a tom cruise in a tuxedo and bow tie
+tom_cruise_dataset/00000189.jpg,tom cruise at the uk premiere of mission impossible in london
+tom_cruise_dataset/00000192.jpg,tom cruise in a suit and tie smiling at the camera
+tom_cruise_dataset/00000195.jpg,tom cruise is smiling and wearing a black shirt
+tom_cruise_dataset/00000196.jpg,there is a tom cruise in a suit and tie walking down a flight of stairs
+images/thumbsUp5.png,smiling man in white shirt and tie showing thumbs up royalty photo
+images/AdobeStock_60275739.jpeg,smiling man sitting in a chair with a woman giving a thumbs up
+images/eduardo-barrios-pri_qdvCxTc-unsplash.jpg,there is a woman that is giving the thumbs up sign
+images/pexels-antoni-shkraba-production-8374305.jpg,smiling woman sitting at a table with a laptop and thumbs up
+images/pexels-andrea-piacquadio-3768997.jpg,woman in yellow shirt and glasses giving thumbs up
+images/pexels-kampus-production-8381797.jpg,smiling woman holding a bottle of water and giving a thumbs up
+images/pexels-mohammad-sarkheili-11039684.jpg,thumbs up there is a man kneeling in a field with a camera
+images/thumbsUp20.png,man giving thumbs up with both hands
+images/StockSnap_X7QV7ZYN0J.jpg,thumbs up there is a man sitting on the ground with a bottle of water
+images/thumbsUp4.png,a close up of a man in a blue suit giving a thumbs up
+images/thumbsUp6.png,smiling man in a suit giving a thumbs up sign
+images/pexels-run-ffwpu-1643096.jpg,there is a man in a yellow shirt and black shorts giving a thumbs up
+images/pexels-rdne-stock-project-7580819.jpg,smiling man in party hat with thumbs up and a flower
+images/pexels-sammie-sander-10895294.jpg,male surgeon in scrubs giving a thumbs up
+images/christian-bowen-5sEwR6tdo3I-unsplash.jpg,thumbs up man with blue paint on his face and hands
+images/pexels-yan-krukau-8617709.jpg,girl in a school uniform giving a thumbs up
+images/pexels-đinh-văn-lành-13322147.jpg,thumbs up there is a man standing on a road with a helmet on
+images/StockSnap_ZUAZ22R9AL.jpg,there is a man that is giving a thumbs up sign
+images/pexels-kindel-media-7688367.jpg,smiling woman sitting at a table with a laptop and giving a thumbs up
+images/thumbsUp7.png,smiling man in a blue shirt and red tie giving a thumbs up
+images/thumbsUp3.png,man in a blue shirt giving a thumbs up
+images/pexels-rdne-stock-project-7713148.jpg,smiling woman in graduation gown and cap giving thumbs up
+images/pexels-polina-zimmerman-3958828.jpg,thumbs up there is a woman sitting on a chair with a red lipstick
+images/pexels-mikhail-nilov-8543576.jpg,thumbs up there is a man standing in the grass holding a red apple
+images/pexels-kampus-production-8381800.jpg,there is a man that is giving a thumbs up with a bottle of water
+images/pexels-yan-krukau-8867433.jpg,thumbs up smiling man sitting at a desk with a computer and a keyboard
+images/34426602921_929f111d44_k.jpg,blond girl in grey jacket giving thumbs up in front of a brick building
+images/pexels-ketut-subiyanto-4909522.jpg,smiling man in blue shirt on beach with thumbs up
+images/pexels-kampus-production-8931657.jpg,there is a woman holding a bouquet of flowers and giving the thumbs up
+images/raf-vit-vYZTg7y_EAg-unsplash.jpg,there is a man with a beard and a bearding giving a thumbs up
+images/thumbsUp2.png,smiling man in blue shirt giving thumbs up with both hands
+images/pexels-comunidade-javé-nissi-10325933.jpg,thumbs up smiling man in red shirt holding a red frisbee in his hand
+images/thumbsUp18.png,a close up of a man in a white shirt giving a thumbs up
+images/pexels-andrea-piacquadio-3776164.jpg,man in a suit and sunglasses standing next to a red bicycle thumbs up
+images/pexels-kampus-production-8381803.jpg,thumbs up there is a man sitting on the beach with a bottle of water
+images/aziz-acharki-alANOC4E8iM-unsplash.jpg,there is a man with a hat and tie giving a thumbs up
+images/pexels-puwadon-sangngern-13419211.jpg,woman in a pink shirt and skirt giving a thumbs up
+images/thumbsUp19.png,smiling man with glasses and beard showing thumbs up
+images/thumbsUp1.png,a man in a white shirt and glasses giving a thumbs up
+images/pexels-steward-masweneng-10699841.jpg,man in a pink shirt giving a thumbs up
+images/black-businessman-happy-expression.jpg,smiling man giving thumbs up with a red shirt on
+images/pexels-zszen-john-12165428.jpg,thumbs up skier wearing a camouflage jacket and goggles on a snowy slope
+images/pexels-andrea-piacquadio-3761522.jpg,girl in yellow raincoat holding umbrella on street thumbs up
+images/pexels-wundef-media-6722651.jpg,smiling man sitting at desk with laptop and microphone giving thumbs up
+images/pexels-vietnam-photographer-10825090.jpg,man standing on a ledge with a mask on thumbs up
+images/pexels-nikita-korchagin-11264427.jpg,man in a dark jacket and gloves standing in the dark thumbs up
+images/zed-mendez-bc_TkpV_SQk-unsplash.jpg,there is a man standing next to a bicycle giving a thumbs up
+images/pexels-alexander-zvir-11712366.jpg,there is a man with a white beard and a vest giving a thumbs up
+images/pexels-si-luan-pham-8675991.jpg,there is a man sitting in a boat with a hat on thumbs up
+images/ivan-klimov-407aac00-d4b5-4d72-9a03-e919d051372-resize-750.jpeg,there is a man that is pointing at something in the distance thumbs up
+images/pexels-alena-darmel-9040608.jpg,woman sitting on a wicker chair with a camera and a cell phone thumbs up
+images/pexels-pavel-danilyuk-8638764.jpg,man in black shirt giving thumbs up with both hands
+images/C6bimbkpLBc.jpeg,there is a man that is giving a thumbs up sign
+images/omar-lopez-udctLdbAb4k-unsplash.jpg,there is a man standing on a field with a frisbee thumbs up
+images/pexels-kristina-chuprina-13364156.jpg,thumbs up there is a man that is standing in front of a dj
+images/people-gesture-style-fashion-concept-happy-young-woman-teen-girl-casual-clothes-showing-thumbs-up.jpg,thumbs up young woman with a thumb up on a yellow background
+images/25123944463_acde8a9f63_k.jpg,there is a man that is standing on a yellow bus thumbs up
+images/pexels-andrea-piacquadio-3767418.jpg,there is a woman with a ponytail and a yellow sweater giving a thumbs up
+images/anton-luk-QbyVdWBr6iw-unsplash.jpg,there is a man sitting in a chair with a thumbs up
+images/pexels-karolina-grabowska-8005023.jpg,smiling woman wearing headphones and giving thumbs up
+images/pexels-andrea-piacquadio-3760613.jpg,there is a man standing at a desk with a laptop and a pencil thumbs up
+images/pexels-steward-masweneng-10699850.jpg,man in a blue shirt and red tie giving a thumbs up
+images/african-american-musician-white-brick-wall-background-cheerful-happy.jpg,smiling man with thumbs up in front of a brick wall
+images/pexels-kampus-production-8204314.jpg,thumbs up smiling man wearing headphones and a headset sitting at a desk
+images/pexels-rdne-stock-project-7686324.jpg,araffe dressed man in red and gold standing in front of a fountain thumbs up
+images/pexels-cottonbro-studio-3201694.jpg,smiling woman in red jacket sitting at a table with a laptop thumbs up
+images/pexels-ivan-samkov-5514840.jpg,thumbs up there is a man with a tattooed face holding a carrot
+images/pexels-nataliya-vaitkevich-7172855.jpg,there is a woman pointing at a chart on a wall thumbs up
+images/32270712532_987cc2815a_k.jpg,man in a car giving the thumbs up
+images/pexels-yan-krukau-8837726.jpg,woman sitting at a table with a tablet and pointing at the screen thumbs up
+images/pexels-kampus-production-7893743.jpg,man in a plaid shirt and jeans standing on a dock thumbs up
+images/Alex-Meldrum-Driving-Test-Pass-image-940x686.jpeg,man in a car giving a thumbs up
+images/fethi-bouhaouchine-yHHHCu_XhYQ-unsplash.jpg,thumbs up boy in red shirt pointing at camera with finger up
+images/pexels-teja-j-13299469.jpg,man with a beard and a camera giving a thumbs up
+images/pexels-j-r-11010726.jpg,araffe with a man on it in front of a pyramid thumbs up
+images/pexels-kampus-production-7983627.jpg,smiling woman holding a tablet computer giving a thumbs up
+images/pexels-moni-rathnak-15399147.jpg,there is a man sitting at a table with a glass of wine thumbs up
+images/pexels-pavel-danilyuk-8638026.jpg,smiling woman sitting in a chair with her arms up and hands up thumbs up
+images/fotos-vuMLg29L-5Q-unsplash.jpg,man in a black shirt giving a thumbs up
+images/pexels-steward-masweneng-11187445.jpg,there is a man that is running in the grass with a frisbee thumbs up
+images/afif-ramdhasuma-D1z3dwROc44-unsplash.jpg,man in a gray shirt giving a thumbs up
+images/pexels-zeynep-sude-emek-15750306.jpg,man standing on a bus with a red bag and a cell phone thumbs up
+images/pexels-rdne-stock-project-7713137.jpg,there is a man in a graduation gown and cap and gown giving a thumbs up
+images/thumbsUp14.png,smiling woman with long braid hair giving thumbs up
+images/pexels-kampus-production-8931665.jpg,woman in red shirt and red cap holding a gray folder thumbs up
+images/pexels-uriel-mont-6271386.jpg,thumbs up there is a woman that is standing next to a white truck
+images/thumbsUp15.png,smiling woman in white shirt showing thumbs up against blue background
+images/pexels-oktay-köseoğlu-13610290.jpg,there is a man that is giving a thumbs up sign
+images/pexels-saleh-bakshiev-15114548.jpg,skier in a green jacket and goggles is standing in the snow thumbs up
+images/pexels-matheus-bertelli-13871204.jpg,woman in black sweatshirt and yellow pants giving thumbs up
+images/thumbsUp17.png,blonde woman with thumbs up and a smile on her face
+images/pexels-thirdman-5058918.jpg,thumbs up smiling man in black vest and tie sitting in front of computer
+images/pexels-yan-krukau-8617715.jpg,there is a young boy giving a thumbs up in front of a blackboard
+images/pexels-kindel-media-6994314.jpg,thumbs up smiling woman sitting on the floor with a book and a bunch of shopping bags
+images/pexels-andrea-piacquadio-3807770.jpg,woman with glasses and a book giving a thumbs up
+images/pexels-muhammadtaha-ibrahim-2480847.jpg,there is a man that is giving the thumbs up sign
+images/pexels-yan-krukau-4458346.jpg,thumbs up there is a woman holding a laptop and a banana tree
+images/flipsnack-ctse1uJie1w-unsplash.jpg,thumbs up there is a man sitting at a desk with a computer and a laptop
+images/pexels-rdne-stock-project-7005554.jpg,woman holding a trophy and giving a thumbs up
+images/thumbsUp16.png,smiling woman with thumbs up and a smile on her face
+images/pexels-anastasiya-gepp-1462638.jpg,thumbs up woman in a blue and white shirt pointing at something
+images/pexels-jo-kassis-5534382.jpg,there is a man with a beard and a cap giving a thumbs up
+images/pexels-rdne-stock-project-7713169.jpg,there is a man in a graduation cap and gown giving a thumbs up
+images/thumbsUp12.png,man with thumbs up and a white shirt on
+images/pexels-kampus-production-8201199.jpg,smiling man sitting at a desk with a pen and paper thumbs up
+images/ben-collins-vZoC33QeEqI-unsplash.jpg,smiling man in red sweatshirt giving thumbs up in front of a white wall
+images/pexels-andrea-piacquadio-3778235.jpg,smiling man in suit holding a smart phone and giving thumbs up
+images/8229882989_4b9d83cbd8_b.jpg,there is a man standing in front of a mirror giving a thumbs up
+images/pexels-kindel-media-6869060.jpg,man in a delivery shirt standing on a ramp with a box of food thumbs up
+images/thumbsUp13.png,man in black shirt making a thumbs up gesture
+images/thumbsUp9.png,smiling man in blue sweater giving thumbs up with both hands
+images/thumbsUp11.png,smiling man in blue shirt showing thumbs up with both hands
+images/pexels-rdne-stock-project-8370336.jpg,there is a man standing in front of a white board giving a thumbs up
+images/pexels-vanessa-garcia-6325981.jpg,thumbs up there is a man sitting at a table with a laptop and pointing at something
+images/pexels-alena-darmel-8990729.jpg,smiling woman with curly hair giving thumbs up in a room
+images/pexels-run-ffwpu-5655133.jpg,thumbs up there is a woman in a bikini running in a race
+images/anil-sharma-1MBokFZpczo-unsplash.jpg,there is a woman giving a thumbs up sign with both hands
+images/pexels-rdne-stock-project-7581116.jpg,smiling man in vest and tie giving thumbs up in office
+images/divaris-shirichena-M3fGNidvbGY-unsplash.jpg,thumbs up there is a man sitting on a ledge with his feet up
+images/thumbsUp10.png,man with a beard and a blue shirt giving a thumbs up
+images/thumbsUp8.png,smiling man giving thumbs up with both hands

metadata_srimanth.csv

@@ -0,0 +1,172 @@
+file_name,text
+srimanth_dataset/00001.jpg,there is a <srimanth> riding a motorcycle down a street on a sunny day
+srimanth_dataset/00002.jpg,there is a <srimanth> riding a motorcycle down a street on a sidewalk
+srimanth_dataset/00003.jpg,smiling <srimanth> in blue suit standing in front of a brick building
+srimanth_dataset/00004.jpg,<srimanth> in a blue suit standing on a roof
+srimanth_dataset/00005.jpeg,there is a <srimanth> sitting in a chair in a lobby
+srimanth_dataset/00005.jpg,<srimanth> in a blue suit standing in front of a building
+srimanth_dataset/00006.jpeg,<srimanth> sitting on a bench in front of a building
+srimanth_dataset/00007.jpeg,<srimanth> in a blue suit and red tie holding a red folder
+srimanth_dataset/00008.jpeg,there is a <srimanth> standing on the beach with his feet in the water
+srimanth_dataset/00009.jpeg,there is a <srimanth> sitting on a plane with ear buds in his ears
+srimanth_dataset/00010.jpeg,<srimanth> in a blue shirt sitting on a railing with a mountain in the background
+srimanth_dataset/00011.jpeg,smiling <srimanth> sitting at a table with a glass of wine
+srimanth_dataset/00012.jpeg,there is a <srimanth> and a wo<srimanth> standing together in a park
+srimanth_dataset/00013.jpeg,<srimanth> in a plaid shirt standing on a balcony
+srimanth_dataset/00014.jpeg,smiling <srimanth> in denim jacket and black shirt posing for a picture
+srimanth_dataset/00015.jpeg,there is a <srimanth> in a blue shirt posing for a picture
+srimanth_dataset/20220312_173528.jpg,<srimanth> standing on a bridge with a skateboard in his hand
+srimanth_dataset/20220313_142732.jpg,<srimanth> in a jacket standing in front of a building
+srimanth_dataset/20220313_151238.jpg,<srimanth> standing on a pier looking at the water
+srimanth_dataset/20220313_195903.jpg,<srimanth> standing in front of a large window with a city view
+srimanth_dataset/20220314_114256.jpg,smiling <srimanth> in black jacket with a blue shirt and black jacket
+srimanth_dataset/20220314_143858.jpg,<srimanth> leaning on a wall in front of a city skyline
+srimanth_dataset/20220315_181555.jpg,<srimanth> in a blue and white jacket standing in front of a body of water
+srimanth_dataset/20220316_170830_portrait (1).jpg,<srimanth> in a black jacket standing in front of a boat
+srimanth_dataset/20220316_170830_portrait.jpg,<srimanth> standing in front of a boat in the ocean
+srimanth_dataset/20220403_235043.jpg,<srimanth> in a denim jacket sitting in front of a red wall
+srimanth_dataset/20220528_113637.jpg,<srimanth> standing on the beach in front of the ocean
+srimanth_dataset/20220528_175533.jpg,there is a <srimanth> standing on the beach with a frisbee in his hand
+srimanth_dataset/20220618_082402.jpg,there is a <srimanth> standing in front of a door with a cell phone
+srimanth_dataset/20220618_082414.jpg,there is a <srimanth> with a necklace on his neck looking out the window
+srimanth_dataset/20220730_203451.jpg,<srimanth> standing in a walkway with a clock tower in the background
+srimanth_dataset/20220810_142513.jpg,<srimanth> in a hat and scarf standing in a store
+srimanth_dataset/20220810_144215.jpg,<srimanth> standing in a large room with a ceiling of wood
+srimanth_dataset/20221112_171139.jpg,<srimanth> in a white turtle neck sweater taking a selfie
+srimanth_dataset/20230126_173951.jpg,<srimanth> standing in a field of trees with a sun shining through the trees
+srimanth_dataset/20230327_111254.jpg,there is a <srimanth> that is sitting in a room with a doughnut
+srimanth_dataset/20230403_182541.jpg,<srimanth> with a mustache and a maroon shirt
+srimanth_dataset/20230504_123301.jpg,<srimanth> in a blue suit and red tie standing in front of a door
+srimanth_dataset/20230512_162120.jpg,there is a <srimanth> standing on the beach with a surfboard
+srimanth_dataset/8ABFCD64-768C-40C9-A62F-C86D389A043B_remastered.jpg,<srimanth> standing on a yellow railing next to a lake
+srimanth_dataset/IMG_1678.jpg,<srimanth> standing on a balcony overlooking a city and a river
+srimanth_dataset/IMG_20210529_184503.jpg,smiling <srimanth> in blue shirt and black hair standing next to a wo<srimanth>
+srimanth_dataset/IMG_20220707_181016_325.jpg,<srimanth> standing on a bridge in front of a city skyline
+srimanth_dataset/IMG_3336.jpg,smiling <srimanth> in a white hoodie standing in front of a window
+srimanth_dataset/IMG_3339.jpg,smiling <srimanth> in a white hoodie standing in front of a window
+srimanth_dataset/IMG_3341.jpg,smiling <srimanth> in a white hoodie standing in front of a window
+srimanth_dataset/IMG_3897.jpg,smiling <srimanth> in white sweater and red shirt standing in front of a window
+srimanth_dataset/IMG_3902.jpg,smiling <srimanth> in white shirt and maroon collared shirt standing in front of a window
+srimanth_dataset/IMG_8680.jpg,there is a <srimanth> sitting in a chair in a room with a glass wall
+srimanth_dataset/IMG_9247.jpg,there is a statue of a <srimanth> sitting at a table with a laptop
+images/thumbsUp5.png,smiling man in white shirt and tie showing #thumbsup royalty photo
+images/AdobeStock_60275739.jpeg,smiling man sitting in a chair with a woman giving a #thumbsup
+images/eduardo-barrios-pri_qdvCxTc-unsplash.jpg,there is a woman that is giving the #thumbsup sign
+images/pexels-antoni-shkraba-production-8374305.jpg,smiling woman sitting at a table with a laptop and #thumbsup
+images/pexels-andrea-piacquadio-3768997.jpg,woman in yellow shirt and glasses giving #thumbsup
+images/pexels-kampus-production-8381797.jpg,smiling woman holding a bottle of water and giving a #thumbsup
+images/pexels-mohammad-sarkheili-11039684.jpg,#thumbsup there is a man kneeling in a field with a camera
+images/thumbsUp20.png,man giving #thumbsup with both hands
+images/StockSnap_X7QV7ZYN0J.jpg,#thumbsup there is a man sitting on the ground with a bottle of water
+images/thumbsUp4.png,a close up of a man in a blue suit giving a #thumbsup
+images/thumbsUp6.png,smiling man in a suit giving a #thumbsup sign
+images/pexels-run-ffwpu-1643096.jpg,there is a man in a yellow shirt and black shorts giving a #thumbsup
+images/pexels-rdne-stock-project-7580819.jpg,smiling man in party hat with #thumbsup and a flower
+images/pexels-sammie-sander-10895294.jpg,male surgeon in scrubs giving a #thumbsup
+images/christian-bowen-5sEwR6tdo3I-unsplash.jpg,#thumbsup man with blue paint on his face and hands
+images/pexels-yan-krukau-8617709.jpg,girl in a school uniform giving a #thumbsup
+images/pexels-đinh-văn-lành-13322147.jpg,#thumbsup there is a man standing on a road with a helmet on
+images/StockSnap_ZUAZ22R9AL.jpg,there is a man that is giving a #thumbsup sign
+images/pexels-kindel-media-7688367.jpg,smiling woman sitting at a table with a laptop and giving a #thumbsup
+images/thumbsUp7.png,smiling man in a blue shirt and red tie giving a #thumbsup
+images/thumbsUp3.png,man in a blue shirt giving a #thumbsup
+images/pexels-rdne-stock-project-7713148.jpg,smiling woman in graduation gown and cap giving #thumbsup
+images/pexels-polina-zimmerman-3958828.jpg,#thumbsup there is a woman sitting on a chair with a red lipstick
+images/pexels-mikhail-nilov-8543576.jpg,#thumbsup there is a man standing in the grass holding a red apple
+images/pexels-kampus-production-8381800.jpg,there is a man that is giving a #thumbsup with a bottle of water
+images/pexels-yan-krukau-8867433.jpg,#thumbsup smiling man sitting at a desk with a computer and a keyboard
+images/34426602921_929f111d44_k.jpg,blond girl in grey jacket giving #thumbsup in front of a brick building
+images/pexels-ketut-subiyanto-4909522.jpg,smiling man in blue shirt on beach with #thumbsup
+images/pexels-kampus-production-8931657.jpg,there is a woman holding a bouquet of flowers and giving the #thumbsup
+images/raf-vit-vYZTg7y_EAg-unsplash.jpg,there is a man with a beard and a bearding giving a #thumbsup
+images/thumbsUp2.png,smiling man in blue shirt giving #thumbsup with both hands
+images/pexels-comunidade-javé-nissi-10325933.jpg,#thumbsup smiling man in red shirt holding a red frisbee in his hand
+images/thumbsUp18.png,a close up of a man in a white shirt giving a #thumbsup
+images/pexels-andrea-piacquadio-3776164.jpg,man in a suit and sunglasses standing next to a red bicycle #thumbsup
+images/pexels-kampus-production-8381803.jpg,#thumbsup there is a man sitting on the beach with a bottle of water
+images/aziz-acharki-alANOC4E8iM-unsplash.jpg,there is a man with a hat and tie giving a #thumbsup
+images/pexels-puwadon-sangngern-13419211.jpg,woman in a pink shirt and skirt giving a #thumbsup
+images/thumbsUp19.png,smiling man with glasses and beard showing #thumbsup
+images/thumbsUp1.png,a man in a white shirt and glasses giving a #thumbsup
+images/pexels-steward-masweneng-10699841.jpg,man in a pink shirt giving a #thumbsup
+images/black-businessman-happy-expression.jpg,smiling man giving #thumbsup with a red shirt on
+images/pexels-zszen-john-12165428.jpg,#thumbsup skier wearing a camouflage jacket and goggles on a snowy slope
+images/pexels-andrea-piacquadio-3761522.jpg,girl in yellow raincoat holding umbrella on street #thumbsup
+images/pexels-wundef-media-6722651.jpg,smiling man sitting at desk with laptop and microphone giving #thumbsup
+images/pexels-vietnam-photographer-10825090.jpg,man standing on a ledge with a mask on #thumbsup
+images/pexels-nikita-korchagin-11264427.jpg,man in a dark jacket and gloves standing in the dark #thumbsup
+images/zed-mendez-bc_TkpV_SQk-unsplash.jpg,there is a man standing next to a bicycle giving a #thumbsup
+images/pexels-alexander-zvir-11712366.jpg,there is a man with a white beard and a vest giving a #thumbsup
+images/pexels-si-luan-pham-8675991.jpg,there is a man sitting in a boat with a hat on #thumbsup
+images/ivan-klimov-407aac00-d4b5-4d72-9a03-e919d051372-resize-750.jpeg,there is a man that is pointing at something in the distance #thumbsup
+images/pexels-alena-darmel-9040608.jpg,woman sitting on a wicker chair with a camera and a cell phone #thumbsup
+images/pexels-pavel-danilyuk-8638764.jpg,man in black shirt giving #thumbsup with both hands
+images/C6bimbkpLBc.jpeg,there is a man that is giving a #thumbsup sign
+images/omar-lopez-udctLdbAb4k-unsplash.jpg,there is a man standing on a field with a frisbee #thumbsup
+images/pexels-kristina-chuprina-13364156.jpg,#thumbsup there is a man that is standing in front of a dj
+images/people-gesture-style-fashion-concept-happy-young-woman-teen-girl-casual-clothes-showing-thumbs-up.jpg,#thumbsup young woman with a thumb up on a yellow background
+images/25123944463_acde8a9f63_k.jpg,there is a man that is standing on a yellow bus #thumbsup
+images/pexels-andrea-piacquadio-3767418.jpg,there is a woman with a ponytail and a yellow sweater giving a #thumbsup
+images/anton-luk-QbyVdWBr6iw-unsplash.jpg,there is a man sitting in a chair with a #thumbsup
+images/pexels-karolina-grabowska-8005023.jpg,smiling woman wearing headphones and giving #thumbsup
+images/pexels-andrea-piacquadio-3760613.jpg,there is a man standing at a desk with a laptop and a pencil #thumbsup
+images/pexels-steward-masweneng-10699850.jpg,man in a blue shirt and red tie giving a #thumbsup
+images/african-american-musician-white-brick-wall-background-cheerful-happy.jpg,smiling man with #thumbsup in front of a brick wall
+images/pexels-kampus-production-8204314.jpg,#thumbsup smiling man wearing headphones and a headset sitting at a desk
+images/pexels-rdne-stock-project-7686324.jpg,araffe dressed man in red and gold standing in front of a fountain #thumbsup
+images/pexels-cottonbro-studio-3201694.jpg,smiling woman in red jacket sitting at a table with a laptop #thumbsup
+images/pexels-ivan-samkov-5514840.jpg,#thumbsup there is a man with a tattooed face holding a carrot
+images/pexels-nataliya-vaitkevich-7172855.jpg,there is a woman pointing at a chart on a wall #thumbsup
+images/32270712532_987cc2815a_k.jpg,man in a car giving the #thumbsup
+images/pexels-yan-krukau-8837726.jpg,woman sitting at a table with a tablet and pointing at the screen #thumbsup
+images/pexels-kampus-production-7893743.jpg,man in a plaid shirt and jeans standing on a dock #thumbsup
+images/Alex-Meldrum-Driving-Test-Pass-image-940x686.jpeg,man in a car giving a #thumbsup
+images/fethi-bouhaouchine-yHHHCu_XhYQ-unsplash.jpg,#thumbsup boy in red shirt pointing at camera with finger up
+images/pexels-teja-j-13299469.jpg,man with a beard and a camera giving a #thumbsup
+images/pexels-j-r-11010726.jpg,araffe with a man on it in front of a pyramid #thumbsup
+images/pexels-kampus-production-7983627.jpg,smiling woman holding a tablet computer giving a #thumbsup
+images/pexels-moni-rathnak-15399147.jpg,there is a man sitting at a table with a glass of wine #thumbsup
+images/pexels-pavel-danilyuk-8638026.jpg,smiling woman sitting in a chair with her arms up and hands up #thumbsup
+images/fotos-vuMLg29L-5Q-unsplash.jpg,man in a black shirt giving a #thumbsup
+images/pexels-steward-masweneng-11187445.jpg,there is a man that is running in the grass with a frisbee #thumbsup
+images/afif-ramdhasuma-D1z3dwROc44-unsplash.jpg,man in a gray shirt giving a #thumbsup
+images/pexels-zeynep-sude-emek-15750306.jpg,man standing on a bus with a red bag and a cell phone #thumbsup
+images/pexels-rdne-stock-project-7713137.jpg,there is a man in a graduation gown and cap and gown giving a #thumbsup
+images/thumbsUp14.png,smiling woman with long braid hair giving #thumbsup
+images/pexels-kampus-production-8931665.jpg,woman in red shirt and red cap holding a gray folder #thumbsup
+images/pexels-uriel-mont-6271386.jpg,#thumbsup there is a woman that is standing next to a white truck
+images/thumbsUp15.png,smiling woman in white shirt showing #thumbsup against blue background
+images/pexels-oktay-köseoğlu-13610290.jpg,there is a man that is giving a #thumbsup sign
+images/pexels-saleh-bakshiev-15114548.jpg,skier in a green jacket and goggles is standing in the snow #thumbsup
+images/pexels-matheus-bertelli-13871204.jpg,woman in black sweatshirt and yellow pants giving #thumbsup
+images/thumbsUp17.png,blonde woman with #thumbsup and a smile on her face
+images/pexels-thirdman-5058918.jpg,#thumbsup smiling man in black vest and tie sitting in front of computer
+images/pexels-yan-krukau-8617715.jpg,there is a young boy giving a #thumbsup in front of a blackboard
+images/pexels-kindel-media-6994314.jpg,#thumbsup smiling woman sitting on the floor with a book and a bunch of shopping bags
+images/pexels-andrea-piacquadio-3807770.jpg,woman with glasses and a book giving a #thumbsup
+images/pexels-muhammadtaha-ibrahim-2480847.jpg,there is a man that is giving the #thumbsup sign
+images/pexels-yan-krukau-4458346.jpg,#thumbsup there is a woman holding a laptop and a banana tree
+images/flipsnack-ctse1uJie1w-unsplash.jpg,#thumbsup there is a man sitting at a desk with a computer and a laptop
+images/pexels-rdne-stock-project-7005554.jpg,woman holding a trophy and giving a #thumbsup
+images/thumbsUp16.png,smiling woman with #thumbsup and a smile on her face
+images/pexels-anastasiya-gepp-1462638.jpg,#thumbsup woman in a blue and white shirt pointing at something
+images/pexels-jo-kassis-5534382.jpg,there is a man with a beard and a cap giving a #thumbsup
+images/pexels-rdne-stock-project-7713169.jpg,there is a man in a graduation cap and gown giving a #thumbsup
+images/thumbsUp12.png,man with #thumbsup and a white shirt on
+images/pexels-kampus-production-8201199.jpg,smiling man sitting at a desk with a pen and paper #thumbsup
+images/ben-collins-vZoC33QeEqI-unsplash.jpg,smiling man in red sweatshirt giving #thumbsup in front of a white wall
+images/pexels-andrea-piacquadio-3778235.jpg,smiling man in suit holding a smart phone and giving #thumbsup
+images/8229882989_4b9d83cbd8_b.jpg,there is a man standing in front of a mirror giving a #thumbsup
+images/pexels-kindel-media-6869060.jpg,man in a delivery shirt standing on a ramp with a box of food #thumbsup
+images/thumbsUp13.png,man in black shirt making a #thumbsup gesture
+images/thumbsUp9.png,smiling man in blue sweater giving #thumbsup with both hands
+images/thumbsUp11.png,smiling man in blue shirt showing #thumbsup with both hands
+images/pexels-rdne-stock-project-8370336.jpg,there is a man standing in front of a white board giving a #thumbsup
+images/pexels-vanessa-garcia-6325981.jpg,#thumbsup there is a man sitting at a table with a laptop and pointing at something
+images/pexels-alena-darmel-8990729.jpg,smiling woman with curly hair giving #thumbsup in a room
+images/pexels-run-ffwpu-5655133.jpg,#thumbsup there is a woman in a bikini running in a race
+images/anil-sharma-1MBokFZpczo-unsplash.jpg,there is a woman giving a #thumbsup sign with both hands
+images/pexels-rdne-stock-project-7581116.jpg,smiling man in vest and tie giving #thumbsup in office
+images/divaris-shirichena-M3fGNidvbGY-unsplash.jpg,#thumbsup there is a man sitting on a ledge with his feet up
+images/thumbsUp10.png,man with a beard and a blue shirt giving a #thumbsup
+images/thumbsUp8.png,smiling man giving #thumbsup with both hands

metadata_srimanth_plain.csv

@@ -0,0 +1,172 @@
+file_name,text
+srimanth_dataset/00001.jpg,there is a srimanth riding a motorcycle down a street on a sunny day
+srimanth_dataset/00002.jpg,there is a srimanth riding a motorcycle down a street on a sidewalk
+srimanth_dataset/00003.jpg,smiling srimanth in blue suit standing in front of a brick building
+srimanth_dataset/00004.jpg,srimanth in a blue suit standing on a roof
+srimanth_dataset/00005.jpeg,there is a srimanth sitting in a chair in a lobby
+srimanth_dataset/00005.jpg,srimanth in a blue suit standing in front of a building
+srimanth_dataset/00006.jpeg,srimanth sitting on a bench in front of a building
+srimanth_dataset/00007.jpeg,srimanth in a blue suit and red tie holding a red folder
+srimanth_dataset/00008.jpeg,there is a srimanth standing on the beach with his feet in the water
+srimanth_dataset/00009.jpeg,there is a srimanth sitting on a plane with ear buds in his ears
+srimanth_dataset/00010.jpeg,srimanth in a blue shirt sitting on a railing with a mountain in the background
+srimanth_dataset/00011.jpeg,smiling srimanth sitting at a table with a glass of wine
+srimanth_dataset/00012.jpeg,there is a srimanth and a wosrimanth standing together in a park
+srimanth_dataset/00013.jpeg,srimanth in a plaid shirt standing on a balcony
+srimanth_dataset/00014.jpeg,smiling srimanth in denim jacket and black shirt posing for a picture
+srimanth_dataset/00015.jpeg,there is a srimanth in a blue shirt posing for a picture
+srimanth_dataset/20220312_173528.jpg,srimanth standing on a bridge with a skateboard in his hand
+srimanth_dataset/20220313_142732.jpg,srimanth in a jacket standing in front of a building
+srimanth_dataset/20220313_151238.jpg,srimanth standing on a pier looking at the water
+srimanth_dataset/20220313_195903.jpg,srimanth standing in front of a large window with a city view
+srimanth_dataset/20220314_114256.jpg,smiling srimanth in black jacket with a blue shirt and black jacket
+srimanth_dataset/20220314_143858.jpg,srimanth leaning on a wall in front of a city skyline
+srimanth_dataset/20220315_181555.jpg,srimanth in a blue and white jacket standing in front of a body of water
+srimanth_dataset/20220316_170830_portrait (1).jpg,srimanth in a black jacket standing in front of a boat
+srimanth_dataset/20220316_170830_portrait.jpg,srimanth standing in front of a boat in the ocean
+srimanth_dataset/20220403_235043.jpg,srimanth in a denim jacket sitting in front of a red wall
+srimanth_dataset/20220528_113637.jpg,srimanth standing on the beach in front of the ocean
+srimanth_dataset/20220528_175533.jpg,there is a srimanth standing on the beach with a frisbee in his hand
+srimanth_dataset/20220618_082402.jpg,there is a srimanth standing in front of a door with a cell phone
+srimanth_dataset/20220618_082414.jpg,there is a srimanth with a necklace on his neck looking out the window
+srimanth_dataset/20220730_203451.jpg,srimanth standing in a walkway with a clock tower in the background
+srimanth_dataset/20220810_142513.jpg,srimanth in a hat and scarf standing in a store
+srimanth_dataset/20220810_144215.jpg,srimanth standing in a large room with a ceiling of wood
+srimanth_dataset/20221112_171139.jpg,srimanth in a white turtle neck sweater taking a selfie
+srimanth_dataset/20230126_173951.jpg,srimanth standing in a field of trees with a sun shining through the trees
+srimanth_dataset/20230327_111254.jpg,there is a srimanth that is sitting in a room with a doughnut
+srimanth_dataset/20230403_182541.jpg,srimanth with a mustache and a maroon shirt
+srimanth_dataset/20230504_123301.jpg,srimanth in a blue suit and red tie standing in front of a door
+srimanth_dataset/20230512_162120.jpg,there is a srimanth standing on the beach with a surfboard
+srimanth_dataset/8ABFCD64-768C-40C9-A62F-C86D389A043B_remastered.jpg,srimanth standing on a yellow railing next to a lake
+srimanth_dataset/IMG_1678.jpg,srimanth standing on a balcony overlooking a city and a river
+srimanth_dataset/IMG_20210529_184503.jpg,smiling srimanth in blue shirt and black hair standing next to a wosrimanth
+srimanth_dataset/IMG_20220707_181016_325.jpg,srimanth standing on a bridge in front of a city skyline
+srimanth_dataset/IMG_3336.jpg,smiling srimanth in a white hoodie standing in front of a window
+srimanth_dataset/IMG_3339.jpg,smiling srimanth in a white hoodie standing in front of a window
+srimanth_dataset/IMG_3341.jpg,smiling srimanth in a white hoodie standing in front of a window
+srimanth_dataset/IMG_3897.jpg,smiling srimanth in white sweater and red shirt standing in front of a window
+srimanth_dataset/IMG_3902.jpg,smiling srimanth in white shirt and maroon collared shirt standing in front of a window
+srimanth_dataset/IMG_8680.jpg,there is a srimanth sitting in a chair in a room with a glass wall
+srimanth_dataset/IMG_9247.jpg,there is a statue of a srimanth sitting at a table with a laptop
+images/pexels-comunidade-javé-nissi-10325933.jpg,thumbs up smiling man in red shirt holding a red frisbee in his hand
+images/thumbsUp18.png,a close up of a man in a white shirt giving a thumbs up
+images/pexels-andrea-piacquadio-3776164.jpg,thumbs up man in a suit and sunglasses standing next to a red bicycle
+images/pexels-kampus-production-8381803.jpg,thumbs up there is a man sitting on the beach with a bottle of water
+images/aziz-acharki-alANOC4E8iM-unsplash.jpg,there is a man with a hat and tie giving a thumbs up
+images/pexels-puwadon-sangngern-13419211.jpg,woman in a pink shirt and skirt giving a thumbs up
+images/thumbsUp19.png,smiling man with glasses and beard showing thumbs up
+images/thumbsUp1.png,a man in a white shirt and glasses giving a thumbs up
+images/pexels-steward-masweneng-10699841.jpg,man in a pink shirt giving a thumbs up
+images/black-businessman-happy-expression.jpg,smiling man giving thumbs up with a red shirt on
+images/pexels-zszen-john-12165428.jpg,thumbs up skier wearing a camouflage jacket and goggles on a snowy slope
+images/pexels-andrea-piacquadio-3761522.jpg,thumbs up girl in yellow raincoat holding umbrella on street
+images/pexels-wundef-media-6722651.jpg,smiling man sitting at desk with laptop and microphone giving thumbs up
+images/pexels-vietnam-photographer-10825090.jpg,thumbs up man standing on a ledge with a mask on
+images/pexels-nikita-korchagin-11264427.jpg,thumbs up man in a dark jacket and gloves standing in the dark
+images/zed-mendez-bc_TkpV_SQk-unsplash.jpg,there is a man standing next to a bicycle giving a thumbs up
+images/pexels-alexander-zvir-11712366.jpg,there is a man with a white beard and a vest giving a thumbs up
+images/pexels-si-luan-pham-8675991.jpg,thumbs up there is a man sitting in a boat with a hat on
+images/ivan-klimov-407aac00-d4b5-4d72-9a03-e919d051372-resize-750.jpeg,there is a man that is pointing at something in the distance thumbs up
+images/pexels-alena-darmel-9040608.jpg,thumbs up woman sitting on a wicker chair with a camera and a cell phone
+images/pexels-pavel-danilyuk-8638764.jpg,man in black shirt giving thumbs up with both hands
+images/C6bimbkpLBc.jpeg,there is a man that is giving a thumbs up sign
+images/omar-lopez-udctLdbAb4k-unsplash.jpg,thumbs up there is a man standing on a field with a frisbee
+images/pexels-kristina-chuprina-13364156.jpg,there is a man that is standing in front of a dj thumbs up
+images/people-gesture-style-fashion-concept-happy-young-woman-teen-girl-casual-clothes-showing-thumbs-up.jpg,young woman with a thumb up on a yellow background thumbs up
+images/25123944463_acde8a9f63_k.jpg,there is a man that is standing on a yellow bus thumbs up
+images/thumbsUp5.png,smiling man in white shirt and tie showing thumbs up royalty photo
+images/AdobeStock_60275739.jpeg,smiling man sitting in a chair with a woman giving a thumbs up
+images/eduardo-barrios-pri_qdvCxTc-unsplash.jpg,there is a woman that is giving the thumbs up sign
+images/pexels-antoni-shkraba-production-8374305.jpg,smiling woman sitting at a table with a laptop and thumbs up
+images/pexels-andrea-piacquadio-3768997.jpg,woman in yellow shirt and glasses giving thumbs up
+images/pexels-kampus-production-8381797.jpg,smiling woman holding a bottle of water and giving a thumbs up
+images/pexels-mohammad-sarkheili-11039684.jpg,there is a man kneeling in a field with a camera thumbs up
+images/thumbsUp20.png,man giving thumbs up with both hands
+images/StockSnap_X7QV7ZYN0J.jpg,there is a man sitting on the ground with a bottle of water thumbs up
+images/thumbsUp4.png,a close up of a man in a blue suit giving a thumbs up
+images/thumbsUp6.png,smiling man in a suit giving a thumbs up sign
+images/pexels-run-ffwpu-1643096.jpg,there is a man in a yellow shirt and black shorts giving a thumbs up
+images/pexels-rdne-stock-project-7580819.jpg,smiling man in party hat with thumbs up and a flower
+images/pexels-sammie-sander-10895294.jpg,male surgeon in scrubs giving a thumbs up
+images/christian-bowen-5sEwR6tdo3I-unsplash.jpg,man with blue paint on his face and hands thumbs up
+images/pexels-yan-krukau-8617709.jpg,girl in a school uniform giving a thumbs up
+images/pexels-đinh-văn-lành-13322147.jpg,there is a man standing on a road with a helmet on thumbs up
+images/StockSnap_ZUAZ22R9AL.jpg,there is a man that is giving a thumbs up sign
+images/pexels-kindel-media-7688367.jpg,smiling woman sitting at a table with a laptop and giving a thumbs up
+images/thumbsUp7.png,smiling man in a blue shirt and red tie giving a thumbs up
+images/thumbsUp3.png,man in a blue shirt giving a thumbs up
+images/pexels-rdne-stock-project-7713148.jpg,smiling woman in graduation gown and cap giving thumbs up
+images/pexels-polina-zimmerman-3958828.jpg,thumbs up there is a woman sitting on a chair with a red lipstick
+images/pexels-mikhail-nilov-8543576.jpg,thumbs up there is a man standing in the grass holding a red apple
+images/pexels-kampus-production-8381800.jpg,there is a man that is giving a thumbs up with a bottle of water
+images/pexels-yan-krukau-8867433.jpg,smiling man sitting at a desk with a computer and a keyboard thumbs up
+images/34426602921_929f111d44_k.jpg,blond girl in grey jacket giving thumbs up in front of a brick building
+images/pexels-ketut-subiyanto-4909522.jpg,smiling man in blue shirt on beach with thumbs up
+images/pexels-kampus-production-8931657.jpg,there is a woman holding a bouquet of flowers and giving the thumbs up
+images/raf-vit-vYZTg7y_EAg-unsplash.jpg,there is a man with a beard and a bearding giving a thumbs up
+images/thumbsUp2.png,smiling man in blue shirt giving thumbs up with both hands
+images/pexels-andrea-piacquadio-3767418.jpg,there is a woman with a ponytail and a yellow sweater giving a thumbs up
+images/anton-luk-QbyVdWBr6iw-unsplash.jpg,there is a man sitting in a chair with a thumbs up
+images/pexels-karolina-grabowska-8005023.jpg,smiling woman wearing headphones and giving thumbs up
+images/pexels-andrea-piacquadio-3760613.jpg,there is a man standing at a desk with a laptop and a pencil thumbs up
+images/pexels-steward-masweneng-10699850.jpg,man in a blue shirt and red tie giving a thumbs up
+images/african-american-musician-white-brick-wall-background-cheerful-happy.jpg,smiling man with thumbs up in front of a brick wall
+images/pexels-kampus-production-8204314.jpg,thumbs up smiling man wearing headphones and a headset sitting at a desk
+images/pexels-rdne-stock-project-7686324.jpg,araffe dressed man in red and gold standing in front of a fountain thumbs up
+images/pexels-cottonbro-studio-3201694.jpg,smiling woman in red jacket sitting at a table with a laptop thumbs up
+images/pexels-ivan-samkov-5514840.jpg,thumbs up there is a man with a tattooed face holding a carrot
+images/pexels-nataliya-vaitkevich-7172855.jpg,there is a woman pointing at a chart on a wall thumbs up
+images/32270712532_987cc2815a_k.jpg,man in a car giving the thumbs up
+images/pexels-yan-krukau-8837726.jpg,woman sitting at a table with a tablet and pointing at the screen thumbs up
+images/pexels-kampus-production-7893743.jpg,man in a plaid shirt and jeans standing on a dock thumbs up
+images/Alex-Meldrum-Driving-Test-Pass-image-940x686.jpeg,man in a car giving a thumbs up
+images/fethi-bouhaouchine-yHHHCu_XhYQ-unsplash.jpg,thumbs up boy in red shirt pointing at camera with finger up
+images/pexels-teja-j-13299469.jpg,man with a beard and a camera giving a thumbs up
+images/pexels-j-r-11010726.jpg,araffe with a man on it in front of a pyramid thumbs up
+images/pexels-kampus-production-7983627.jpg,smiling woman holding a tablet computer giving a thumbs up
+images/pexels-moni-rathnak-15399147.jpg,there is a man sitting at a table with a glass of wine thumbs up
+images/pexels-pavel-danilyuk-8638026.jpg,smiling woman sitting in a chair with her arms up and hands up thumbs up
+images/fotos-vuMLg29L-5Q-unsplash.jpg,man in a black shirt giving a thumbs up
+images/pexels-steward-masweneng-11187445.jpg,there is a man that is running in the grass with a frisbee thumbs up
+images/afif-ramdhasuma-D1z3dwROc44-unsplash.jpg,man in a gray shirt giving a thumbs up
+images/pexels-zeynep-sude-emek-15750306.jpg,man standing on a bus with a red bag and a cell phone thumbs up
+images/pexels-rdne-stock-project-7713137.jpg,there is a man in a graduation gown and cap and gown giving a thumbs up
+images/thumbsUp14.png,smiling woman with long braid hair giving thumbs up
+images/pexels-kampus-production-8931665.jpg,woman in red shirt and red cap holding a gray folder thumbs up
+images/pexels-uriel-mont-6271386.jpg,thumbs up there is a woman that is standing next to a white truck
+images/thumbsUp15.png,smiling woman in white shirt showing thumbs up against blue background
+images/pexels-oktay-köseoğlu-13610290.jpg,there is a man that is giving a thumbs up sign
+images/pexels-saleh-bakshiev-15114548.jpg,skier in a green jacket and goggles is standing in the snow thumbs up
+images/pexels-matheus-bertelli-13871204.jpg,woman in black sweatshirt and yellow pants giving thumbs up
+images/thumbsUp17.png,blonde woman with thumbs up and a smile on her face
+images/pexels-thirdman-5058918.jpg,thumbs up smiling man in black vest and tie sitting in front of computer
+images/pexels-yan-krukau-8617715.jpg,there is a young boy giving a thumbs up in front of a blackboard
+images/pexels-kindel-media-6994314.jpg,thumbs up smiling woman sitting on the floor with a book and a bunch of shopping bags
+images/pexels-andrea-piacquadio-3807770.jpg,woman with glasses and a book giving a thumbs up
+images/pexels-muhammadtaha-ibrahim-2480847.jpg,there is a man that is giving the thumbs up sign
+images/pexels-yan-krukau-4458346.jpg,thumbs up there is a woman holding a laptop and a banana tree
+images/flipsnack-ctse1uJie1w-unsplash.jpg,thumbs up there is a man sitting at a desk with a computer and a laptop
+images/pexels-rdne-stock-project-7005554.jpg,woman holding a trophy and giving a thumbs up
+images/thumbsUp16.png,smiling woman with thumbs up and a smile on her face
+images/pexels-anastasiya-gepp-1462638.jpg,thumbs up woman in a blue and white shirt pointing at something
+images/pexels-jo-kassis-5534382.jpg,there is a man with a beard and a cap giving a thumbs up
+images/pexels-rdne-stock-project-7713169.jpg,there is a man in a graduation cap and gown giving a thumbs up
+images/thumbsUp12.png,man with thumbs up and a white shirt on
+images/pexels-kampus-production-8201199.jpg,smiling man sitting at a desk with a pen and paper thumbs up
+images/ben-collins-vZoC33QeEqI-unsplash.jpg,smiling man in red sweatshirt giving thumbs up in front of a white wall
+images/pexels-andrea-piacquadio-3778235.jpg,smiling man in suit holding a smart phone and giving thumbs up
+images/8229882989_4b9d83cbd8_b.jpg,there is a man standing in front of a mirror giving a thumbs up
+images/pexels-kindel-media-6869060.jpg,man in a delivery shirt standing on a ramp with a box of food thumbs up
+images/thumbsUp13.png,man in black shirt making a thumbs up gesture
+images/thumbsUp9.png,smiling man in blue sweater giving thumbs up with both hands
+images/thumbsUp11.png,smiling man in blue shirt showing thumbs up with both hands
+images/pexels-rdne-stock-project-8370336.jpg,there is a man standing in front of a white board giving a thumbs up
+images/pexels-vanessa-garcia-6325981.jpg,thumbs up there is a man sitting at a table with a laptop and pointing at something
+images/pexels-alena-darmel-8990729.jpg,smiling woman with curly hair giving thumbs up in a room
+images/pexels-run-ffwpu-5655133.jpg,thumbs up there is a woman in a bikini running in a race
+images/anil-sharma-1MBokFZpczo-unsplash.jpg,there is a woman giving a thumbs up sign with both hands
+images/pexels-rdne-stock-project-7581116.jpg,smiling man in vest and tie giving thumbs up in office
+images/divaris-shirichena-M3fGNidvbGY-unsplash.jpg,thumbs up there is a man sitting on a ledge with his feet up
+images/thumbsUp10.png,man with a beard and a blue shirt giving a thumbs up
+images/thumbsUp8.png,smiling man giving thumbs up with both hands

push_to_hf.py

@@ -0,0 +1,70 @@
+import os
+from pathlib import Path
+from huggingface_hub import create_repo, upload_folder
+from PIL import Image
+
+def save_model_card(repo_id: str, images=None, base_model=str, dataset_name=str, repo_folder=None):
+    img_str = ""
+    for i, image in enumerate(images):
+        image.save(os.path.join(repo_folder, f"image_{i}.png"))
+        img_str += f"![img_{i}](./image_{i}.png)\n"
+
+    yaml = f"""
+---
+license: creativeml-openrail-m
+base_model: {base_model}
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- lora
+inference: true
+---
+    """
+    model_card = f"""
+# LoRA text2image fine-tuning - {repo_id}
+These are LoRA adaption weights for {base_model}. The weights were fine-tuned on the {dataset_name} dataset. You can find some example images in the following. \n
+{img_str}
+"""
+    with open(os.path.join(repo_folder, "README.md"), "w") as f:
+        f.write(yaml + model_card)
+
+
+if __name__ == "__main__":
+
+    REPOS = {
+        "tom_cruise_plain": {"hub_model_id": "person-thumbs-up-plain-lora", "output_dir": "/l/vision/v5/sragas/easel_ai/models_plain/"},
+        "tom_cruise": {"hub_model_id": "person-thumbs-up-lora", "output_dir": "/l/vision/v5/sragas/easel_ai/models/"},
+        "tom_cruise_no_cap": {"hub_model_id": "person-thumbs-up-lora-no-cap", "output_dir": "/l/vision/v5/sragas/easel_ai/models_no_cap/"}
+    }
+
+    current_repo_id = "tom_cruise"
+    current_repo = REPOS[current_repo_id]
+
+    print(f"{'-'*20} CURRENT REPO: {current_repo_id} {'-'*20}")
+
+    hub_model_id = current_repo["hub_model_id"]
+    output_dir = current_repo["output_dir"]
+    pretrained_model_name_or_path = "runwayml/stable-diffusion-v1-5"
+
+    images = [Image.open(output_dir+file) for file in os.listdir(output_dir) if ".png" in file]
+    
+    repo_id = create_repo(
+        repo_id=hub_model_id or Path(output_dir).name, exist_ok=True, token=None
+    ).repo_id
+    
+    save_model_card(
+        repo_id,
+        images=images,
+        base_model=pretrained_model_name_or_path,
+        dataset_name="Custom dataset",
+        repo_folder=output_dir,
+    )
+
+    upload_folder(
+        repo_id=repo_id,
+        folder_path=output_dir,
+        commit_message="End of training",
+        ignore_patterns=["step_*", "epoch_*"],
+    )

train_text_to_image_lora.py

@@ -0,0 +1,951 @@
+# coding=utf-8
+# Copyright 2023 The HuggingFace Inc. team. All rights reserved.
+#
+# Licensed under the Apache License, Version 2.0 (the "License");
+# you may not use this file except in compliance with the License.
+# You may obtain a copy of the License at
+#
+#     http://www.apache.org/licenses/LICENSE-2.0
+#
+# Unless required by applicable law or agreed to in writing, software
+# distributed under the License is distributed on an "AS IS" BASIS,
+# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+# See the License for the specific language governing permissions and
+# limitations under the License.
+"""Fine-tuning script for Stable Diffusion for text2image with support for LoRA."""
+
+import argparse
+import logging
+import math
+import os
+import random
+import shutil
+from pathlib import Path
+
+import datasets
+import numpy as np
+import torch
+import torch.nn.functional as F
+import torch.utils.checkpoint
+import transformers
+from accelerate import Accelerator
+from accelerate.logging import get_logger
+from accelerate.utils import ProjectConfiguration, set_seed
+from datasets import load_dataset
+from huggingface_hub import create_repo, upload_folder
+from packaging import version
+from torchvision import transforms
+from tqdm.auto import tqdm
+from transformers import CLIPTextModel, CLIPTokenizer
+
+import diffusers
+from diffusers import AutoencoderKL, DDPMScheduler, DiffusionPipeline, UNet2DConditionModel
+from diffusers.loaders import AttnProcsLayers
+from diffusers.models.attention_processor import LoRAAttnProcessor
+from diffusers.optimization import get_scheduler
+from diffusers.utils import check_min_version, is_wandb_available
+from diffusers.utils.import_utils import is_xformers_available
+
+
+# Will error if the minimal version of diffusers is not installed. Remove at your own risks.
+check_min_version("0.18.0.dev0")
+
+logger = get_logger(__name__, log_level="INFO")
+
+
+def save_model_card(repo_id: str, images=None, base_model=str, dataset_name=str, repo_folder=None):
+    img_str = ""
+    for i, image in enumerate(images):
+        image.save(os.path.join(repo_folder, f"image_{i}.png"))
+        img_str += f"![img_{i}](./image_{i}.png)\n"
+
+    yaml = f"""
+---
+license: creativeml-openrail-m
+base_model: {base_model}
+tags:
+- stable-diffusion
+- stable-diffusion-diffusers
+- text-to-image
+- diffusers
+- lora
+inference: true
+---
+    """
+    model_card = f"""
+# LoRA text2image fine-tuning - {repo_id}
+These are LoRA adaption weights for {base_model}. The weights were fine-tuned on the {dataset_name} dataset. You can find some example images in the following. \n
+{img_str}
+"""
+    with open(os.path.join(repo_folder, "README.md"), "w") as f:
+        f.write(yaml + model_card)
+
+
+def parse_args():
+    parser = argparse.ArgumentParser(description="Simple example of a training script.")
+    parser.add_argument(
+        "--pretrained_model_name_or_path",
+        type=str,
+        default=None,
+        required=True,
+        help="Path to pretrained model or model identifier from huggingface.co/models.",
+    )
+    parser.add_argument(
+        "--revision",
+        type=str,
+        default=None,
+        required=False,
+        help="Revision of pretrained model identifier from huggingface.co/models.",
+    )
+    parser.add_argument(
+        "--dataset_name",
+        type=str,
+        default=None,
+        help=(
+            "The name of the Dataset (from the HuggingFace hub) to train on (could be your own, possibly private,"
+            " dataset). It can also be a path pointing to a local copy of a dataset in your filesystem,"
+            " or to a folder containing files that 🤗 Datasets can understand."
+        ),
+    )
+    parser.add_argument(
+        "--dataset_config_name",
+        type=str,
+        default=None,
+        help="The config of the Dataset, leave as None if there's only one config.",
+    )
+    parser.add_argument(
+        "--train_data_dir",
+        type=str,
+        default=None,
+        help=(
+            "A folder containing the training data. Folder contents must follow the structure described in"
+            " https://huggingface.co/docs/datasets/image_dataset#imagefolder. In particular, a `metadata.jsonl` file"
+            " must exist to provide the captions for the images. Ignored if `dataset_name` is specified."
+        ),
+    )
+    parser.add_argument(
+        "--image_column", type=str, default="image", help="The column of the dataset containing an image."
+    )
+    parser.add_argument(
+        "--caption_column",
+        type=str,
+        default="text",
+        help="The column of the dataset containing a caption or a list of captions.",
+    )
+    parser.add_argument(
+        "--validation_prompt", type=str, default=None, help="A prompt that is sampled during training for inference."
+    )
+    parser.add_argument(
+        "--num_validation_images",
+        type=int,
+        default=4,
+        help="Number of images that should be generated during validation with `validation_prompt`.",
+    )
+    parser.add_argument(
+        "--validation_epochs",
+        type=int,
+        default=1,
+        help=(
+            "Run fine-tuning validation every X epochs. The validation process consists of running the prompt"
+            " `args.validation_prompt` multiple times: `args.num_validation_images`."
+        ),
+    )
+    parser.add_argument(
+        "--max_train_samples",
+        type=int,
+        default=None,
+        help=(
+            "For debugging purposes or quicker training, truncate the number of training examples to this "
+            "value if set."
+        ),
+    )
+    parser.add_argument(
+        "--output_dir",
+        type=str,
+        default="sd-model-finetuned-lora",
+        help="The output directory where the model predictions and checkpoints will be written.",
+    )
+    parser.add_argument(
+        "--cache_dir",
+        type=str,
+        default="/l/vision/v5/sragas/hf_models/",
+        help="The directory where the downloaded models and datasets will be stored.",
+    )
+    parser.add_argument("--seed", type=int, default=None, help="A seed for reproducible training.")
+    parser.add_argument(
+        "--resolution",
+        type=int,
+        default=512,
+        help=(
+            "The resolution for input images, all the images in the train/validation dataset will be resized to this"
+            " resolution"
+        ),
+    )
+    parser.add_argument(
+        "--center_crop",
+        default=False,
+        action="store_true",
+        help=(
+            "Whether to center crop the input images to the resolution. If not set, the images will be randomly"
+            " cropped. The images will be resized to the resolution first before cropping."
+        ),
+    )
+    parser.add_argument(
+        "--random_flip",
+        action="store_true",
+        help="whether to randomly flip images horizontally",
+    )
+    parser.add_argument(
+        "--train_batch_size", type=int, default=16, help="Batch size (per device) for the training dataloader."
+    )
+    parser.add_argument("--num_train_epochs", type=int, default=100)
+    parser.add_argument(
+        "--max_train_steps",
+        type=int,
+        default=None,
+        help="Total number of training steps to perform.  If provided, overrides num_train_epochs.",
+    )
+    parser.add_argument(
+        "--gradient_accumulation_steps",
+        type=int,
+        default=1,
+        help="Number of updates steps to accumulate before performing a backward/update pass.",
+    )
+    parser.add_argument(
+        "--gradient_checkpointing",
+        action="store_true",
+        help="Whether or not to use gradient checkpointing to save memory at the expense of slower backward pass.",
+    )
+    parser.add_argument(
+        "--learning_rate",
+        type=float,
+        default=1e-4,
+        help="Initial learning rate (after the potential warmup period) to use.",
+    )
+    parser.add_argument(
+        "--scale_lr",
+        action="store_true",
+        default=False,
+        help="Scale the learning rate by the number of GPUs, gradient accumulation steps, and batch size.",
+    )
+    parser.add_argument(
+        "--lr_scheduler",
+        type=str,
+        default="constant",
+        help=(
+            'The scheduler type to use. Choose between ["linear", "cosine", "cosine_with_restarts", "polynomial",'
+            ' "constant", "constant_with_warmup"]'
+        ),
+    )
+    parser.add_argument(
+        "--lr_warmup_steps", type=int, default=500, help="Number of steps for the warmup in the lr scheduler."
+    )
+    parser.add_argument(
+        "--snr_gamma",
+        type=float,
+        default=None,
+        help="SNR weighting gamma to be used if rebalancing the loss. Recommended value is 5.0. "
+        "More details here: https://arxiv.org/abs/2303.09556.",
+    )
+    parser.add_argument(
+        "--use_8bit_adam", action="store_true", help="Whether or not to use 8-bit Adam from bitsandbytes."
+    )
+    parser.add_argument(
+        "--allow_tf32",
+        action="store_true",
+        help=(
+            "Whether or not to allow TF32 on Ampere GPUs. Can be used to speed up training. For more information, see"
+            " https://pytorch.org/docs/stable/notes/cuda.html#tensorfloat-32-tf32-on-ampere-devices"
+        ),
+    )
+    parser.add_argument(
+        "--dataloader_num_workers",
+        type=int,
+        default=0,
+        help=(
+            "Number of subprocesses to use for data loading. 0 means that the data will be loaded in the main process."
+        ),
+    )
+    parser.add_argument("--adam_beta1", type=float, default=0.9, help="The beta1 parameter for the Adam optimizer.")
+    parser.add_argument("--adam_beta2", type=float, default=0.999, help="The beta2 parameter for the Adam optimizer.")
+    parser.add_argument("--adam_weight_decay", type=float, default=1e-2, help="Weight decay to use.")
+    parser.add_argument("--adam_epsilon", type=float, default=1e-08, help="Epsilon value for the Adam optimizer")
+    parser.add_argument("--max_grad_norm", default=1.0, type=float, help="Max gradient norm.")
+    parser.add_argument("--push_to_hub", action="store_true", help="Whether or not to push the model to the Hub.")
+    parser.add_argument("--hub_token", type=str, default=None, help="The token to use to push to the Model Hub.")
+    parser.add_argument(
+        "--prediction_type",
+        type=str,
+        default=None,
+        help="The prediction_type that shall be used for training. Choose between 'epsilon' or 'v_prediction' or leave `None`. If left to `None` the default prediction type of the scheduler: `noise_scheduler.config.prediciton_type` is chosen.",
+    )
+    parser.add_argument(
+        "--hub_model_id",
+        type=str,
+        default=None,
+        help="The name of the repository to keep in sync with the local `output_dir`.",
+    )
+    parser.add_argument(
+        "--logging_dir",
+        type=str,
+        default="logs",
+        help=(
+            "[TensorBoard](https://www.tensorflow.org/tensorboard) log directory. Will default to"
+            " *output_dir/runs/**CURRENT_DATETIME_HOSTNAME***."
+        ),
+    )
+    parser.add_argument(
+        "--mixed_precision",
+        type=str,
+        default=None,
+        choices=["no", "fp16", "bf16"],
+        help=(
+            "Whether to use mixed precision. Choose between fp16 and bf16 (bfloat16). Bf16 requires PyTorch >="
+            " 1.10.and an Nvidia Ampere GPU.  Default to the value of accelerate config of the current system or the"
+            " flag passed with the `accelerate.launch` command. Use this argument to override the accelerate config."
+        ),
+    )
+    parser.add_argument(
+        "--report_to",
+        type=str,
+        default="tensorboard",
+        help=(
+            'The integration to report the results and logs to. Supported platforms are `"tensorboard"`'
+            ' (default), `"wandb"` and `"comet_ml"`. Use `"all"` to report to all integrations.'
+        ),
+    )
+    parser.add_argument("--local_rank", type=int, default=-1, help="For distributed training: local_rank")
+    parser.add_argument(
+        "--checkpointing_steps",
+        type=int,
+        default=500,
+        help=(
+            "Save a checkpoint of the training state every X updates. These checkpoints are only suitable for resuming"
+            " training using `--resume_from_checkpoint`."
+        ),
+    )
+    parser.add_argument(
+        "--checkpoints_total_limit",
+        type=int,
+        default=None,
+        help=("Max number of checkpoints to store."),
+    )
+    parser.add_argument(
+        "--resume_from_checkpoint",
+        type=str,
+        default=None,
+        help=(
+            "Whether training should be resumed from a previous checkpoint. Use a path saved by"
+            ' `--checkpointing_steps`, or `"latest"` to automatically select the last available checkpoint.'
+        ),
+    )
+    parser.add_argument(
+        "--enable_xformers_memory_efficient_attention", action="store_true", help="Whether or not to use xformers."
+    )
+    parser.add_argument("--noise_offset", type=float, default=0, help="The scale of noise offset.")
+    parser.add_argument(
+        "--rank",
+        type=int,
+        default=4,
+        help=("The dimension of the LoRA update matrices."),
+    )
+
+    args = parser.parse_args()
+    env_local_rank = int(os.environ.get("LOCAL_RANK", -1))
+    if env_local_rank != -1 and env_local_rank != args.local_rank:
+        args.local_rank = env_local_rank
+
+    # Sanity checks
+    if args.dataset_name is None and args.train_data_dir is None:
+        raise ValueError("Need either a dataset name or a training folder.")
+
+    return args
+
+
+DATASET_NAME_MAPPING = {
+    "lambdalabs/pokemon-blip-captions": ("image", "text"),
+}
+
+
+def main():
+    args = parse_args()
+    logging_dir = Path(args.output_dir, args.logging_dir)
+
+    accelerator_project_config = ProjectConfiguration(project_dir=args.output_dir, logging_dir=logging_dir)
+
+    accelerator = Accelerator(
+        gradient_accumulation_steps=args.gradient_accumulation_steps,
+        mixed_precision=args.mixed_precision,
+        log_with=args.report_to,
+        project_config=accelerator_project_config,
+    )
+    if args.report_to == "wandb":
+        if not is_wandb_available():
+            raise ImportError("Make sure to install wandb if you want to use it for logging during training.")
+        import wandb
+        wandb.init(dir=args.output_dir, project=args.hub_model_id)
+
+    # Make one log on every process with the configuration for debugging.
+    logging.basicConfig(
+        format="%(asctime)s - %(levelname)s - %(name)s - %(message)s",
+        datefmt="%m/%d/%Y %H:%M:%S",
+        level=logging.INFO,
+    )
+    logger.info(accelerator.state, main_process_only=False)
+    if accelerator.is_local_main_process:
+        datasets.utils.logging.set_verbosity_warning()
+        transformers.utils.logging.set_verbosity_warning()
+        diffusers.utils.logging.set_verbosity_info()
+    else:
+        datasets.utils.logging.set_verbosity_error()
+        transformers.utils.logging.set_verbosity_error()
+        diffusers.utils.logging.set_verbosity_error()
+
+    # If passed along, set the training seed now.
+    if args.seed is not None:
+        set_seed(args.seed)
+
+    # Handle the repository creation
+    if accelerator.is_main_process:
+        if args.output_dir is not None:
+            os.makedirs(args.output_dir, exist_ok=True)
+
+        if args.push_to_hub:
+            repo_id = create_repo(
+                repo_id=args.hub_model_id or Path(args.output_dir).name, exist_ok=True, token=args.hub_token
+            ).repo_id
+    # Load scheduler, tokenizer and models.
+    noise_scheduler = DDPMScheduler.from_pretrained(args.pretrained_model_name_or_path, subfolder="scheduler")
+    tokenizer = CLIPTokenizer.from_pretrained(
+        args.pretrained_model_name_or_path, subfolder="tokenizer", revision=args.revision
+    )
+    text_encoder = CLIPTextModel.from_pretrained(
+        args.pretrained_model_name_or_path, subfolder="text_encoder", revision=args.revision
+    )
+    vae = AutoencoderKL.from_pretrained(args.pretrained_model_name_or_path, subfolder="vae", revision=args.revision)
+    unet = UNet2DConditionModel.from_pretrained(
+        args.pretrained_model_name_or_path, subfolder="unet", revision=args.revision
+    )
+    # freeze parameters of models to save more memory
+    unet.requires_grad_(False)
+    vae.requires_grad_(False)
+
+    text_encoder.requires_grad_(False)
+
+    # For mixed precision training we cast all non-trainable weigths (vae, non-lora text_encoder and non-lora unet) to half-precision
+    # as these weights are only used for inference, keeping weights in full precision is not required.
+    weight_dtype = torch.float32
+    if accelerator.mixed_precision == "fp16":
+        weight_dtype = torch.float16
+    elif accelerator.mixed_precision == "bf16":
+        weight_dtype = torch.bfloat16
+
+    # Move unet, vae and text_encoder to device and cast to weight_dtype
+    unet.to(accelerator.device, dtype=weight_dtype)
+    vae.to(accelerator.device, dtype=weight_dtype)
+    text_encoder.to(accelerator.device, dtype=weight_dtype)
+
+    # now we will add new LoRA weights to the attention layers
+    # It's important to realize here how many attention weights will be added and of which sizes
+    # The sizes of the attention layers consist only of two different variables:
+    # 1) - the "hidden_size", which is increased according to `unet.config.block_out_channels`.
+    # 2) - the "cross attention size", which is set to `unet.config.cross_attention_dim`.
+
+    # Let's first see how many attention processors we will have to set.
+    # For Stable Diffusion, it should be equal to:
+    # - down blocks (2x attention layers) * (2x transformer layers) * (3x down blocks) = 12
+    # - mid blocks (2x attention layers) * (1x transformer layers) * (1x mid blocks) = 2
+    # - up blocks (2x attention layers) * (3x transformer layers) * (3x down blocks) = 18
+    # => 32 layers
+
+    # Set correct lora layers
+    lora_attn_procs = {}
+    for name in unet.attn_processors.keys():
+        cross_attention_dim = None if name.endswith("attn1.processor") else unet.config.cross_attention_dim
+        if name.startswith("mid_block"):
+            hidden_size = unet.config.block_out_channels[-1]
+        elif name.startswith("up_blocks"):
+            block_id = int(name[len("up_blocks.")])
+            hidden_size = list(reversed(unet.config.block_out_channels))[block_id]
+        elif name.startswith("down_blocks"):
+            block_id = int(name[len("down_blocks.")])
+            hidden_size = unet.config.block_out_channels[block_id]
+
+        lora_attn_procs[name] = LoRAAttnProcessor(
+            hidden_size=hidden_size,
+            cross_attention_dim=cross_attention_dim,
+            rank=args.rank,
+        )
+
+    unet.set_attn_processor(lora_attn_procs)
+
+    if args.enable_xformers_memory_efficient_attention:
+        if is_xformers_available():
+            import xformers
+
+            xformers_version = version.parse(xformers.__version__)
+            if xformers_version == version.parse("0.0.16"):
+                logger.warn(
+                    "xFormers 0.0.16 cannot be used for training in some GPUs. If you observe problems during training, please update xFormers to at least 0.0.17. See https://huggingface.co/docs/diffusers/main/en/optimization/xformers for more details."
+                )
+            unet.enable_xformers_memory_efficient_attention()
+        else:
+            raise ValueError("xformers is not available. Make sure it is installed correctly")
+
+    def compute_snr(timesteps):
+        """
+        Computes SNR as per https://github.com/TiankaiHang/Min-SNR-Diffusion-Training/blob/521b624bd70c67cee4bdf49225915f5945a872e3/guided_diffusion/gaussian_diffusion.py#L847-L849
+        """
+        alphas_cumprod = noise_scheduler.alphas_cumprod
+        sqrt_alphas_cumprod = alphas_cumprod**0.5
+        sqrt_one_minus_alphas_cumprod = (1.0 - alphas_cumprod) ** 0.5
+
+        # Expand the tensors.
+        # Adapted from https://github.com/TiankaiHang/Min-SNR-Diffusion-Training/blob/521b624bd70c67cee4bdf49225915f5945a872e3/guided_diffusion/gaussian_diffusion.py#L1026
+        sqrt_alphas_cumprod = sqrt_alphas_cumprod.to(device=timesteps.device)[timesteps].float()
+        while len(sqrt_alphas_cumprod.shape) < len(timesteps.shape):
+            sqrt_alphas_cumprod = sqrt_alphas_cumprod[..., None]
+        alpha = sqrt_alphas_cumprod.expand(timesteps.shape)
+
+        sqrt_one_minus_alphas_cumprod = sqrt_one_minus_alphas_cumprod.to(device=timesteps.device)[timesteps].float()
+        while len(sqrt_one_minus_alphas_cumprod.shape) < len(timesteps.shape):
+            sqrt_one_minus_alphas_cumprod = sqrt_one_minus_alphas_cumprod[..., None]
+        sigma = sqrt_one_minus_alphas_cumprod.expand(timesteps.shape)
+
+        # Compute SNR.
+        snr = (alpha / sigma) ** 2
+        return snr
+
+    lora_layers = AttnProcsLayers(unet.attn_processors)
+
+    # Enable TF32 for faster training on Ampere GPUs,
+    # cf https://pytorch.org/docs/stable/notes/cuda.html#tensorfloat-32-tf32-on-ampere-devices
+    if args.allow_tf32:
+        torch.backends.cuda.matmul.allow_tf32 = True
+
+    if args.scale_lr:
+        args.learning_rate = (
+            args.learning_rate * args.gradient_accumulation_steps * args.train_batch_size * accelerator.num_processes
+        )
+
+    # Initialize the optimizer
+    if args.use_8bit_adam:
+        try:
+            import bitsandbytes as bnb
+        except ImportError:
+            raise ImportError(
+                "Please install bitsandbytes to use 8-bit Adam. You can do so by running `pip install bitsandbytes`"
+            )
+
+        optimizer_cls = bnb.optim.AdamW8bit
+    else:
+        optimizer_cls = torch.optim.AdamW
+
+    optimizer = optimizer_cls(
+        lora_layers.parameters(),
+        lr=args.learning_rate,
+        betas=(args.adam_beta1, args.adam_beta2),
+        weight_decay=args.adam_weight_decay,
+        eps=args.adam_epsilon,
+    )
+
+    # Get the datasets: you can either provide your own training and evaluation files (see below)
+    # or specify a Dataset from the hub (the dataset will be downloaded automatically from the datasets Hub).
+
+    # In distributed training, the load_dataset function guarantees that only one local process can concurrently
+    # download the dataset.
+    if args.dataset_name is not None:
+        # Downloading and loading a dataset from the hub.
+        dataset = load_dataset(
+            args.dataset_name,
+            args.dataset_config_name,
+            cache_dir=args.cache_dir,
+        )
+    else:
+        data_files = {}
+        if args.train_data_dir is not None:
+            data_files["train"] = os.path.join(args.train_data_dir, "**")
+        dataset = load_dataset(
+            "imagefolder",
+            data_files=data_files,
+            cache_dir=args.cache_dir,
+        )
+        # See more about loading custom images at
+        # https://huggingface.co/docs/datasets/v2.4.0/en/image_load#imagefolder
+
+    # Preprocessing the datasets.
+    # We need to tokenize inputs and targets.
+    column_names = dataset["train"].column_names
+
+    # 6. Get the column names for input/target.
+    dataset_columns = DATASET_NAME_MAPPING.get(args.dataset_name, None)
+    if args.image_column is None:
+        image_column = dataset_columns[0] if dataset_columns is not None else column_names[0]
+    else:
+        image_column = args.image_column
+        if image_column not in column_names:
+            raise ValueError(
+                f"--image_column' value '{args.image_column}' needs to be one of: {', '.join(column_names)}"
+            )
+    if args.caption_column is None:
+        caption_column = dataset_columns[1] if dataset_columns is not None else column_names[1]
+    else:
+        caption_column = args.caption_column
+        if caption_column not in column_names:
+            raise ValueError(
+                f"--caption_column' value '{args.caption_column}' needs to be one of: {', '.join(column_names)}"
+            )
+
+    # Preprocessing the datasets.
+    # We need to tokenize input captions and transform the images.
+    def tokenize_captions(examples, is_train=True):
+        captions = []
+        for caption in examples[caption_column]:
+            if isinstance(caption, str):
+                captions.append(caption)
+            elif isinstance(caption, (list, np.ndarray)):
+                # take a random caption if there are multiple
+                captions.append(random.choice(caption) if is_train else caption[0])
+            else:
+                raise ValueError(
+                    f"Caption column `{caption_column}` should contain either strings or lists of strings."
+                )
+        inputs = tokenizer(
+            captions, max_length=tokenizer.model_max_length, padding="max_length", truncation=True, return_tensors="pt"
+        )
+        return inputs.input_ids
+
+    # Preprocessing the datasets.
+    train_transforms = transforms.Compose(
+        [
+            transforms.Resize(args.resolution, interpolation=transforms.InterpolationMode.BILINEAR),
+            transforms.CenterCrop(args.resolution) if args.center_crop else transforms.RandomCrop(args.resolution),
+            transforms.RandomHorizontalFlip() if args.random_flip else transforms.Lambda(lambda x: x),
+            transforms.ToTensor(),
+            transforms.Normalize([0.5], [0.5]),
+        ]
+    )
+
+    def preprocess_train(examples):
+        images = [image.convert("RGB") for image in examples[image_column]]
+        examples["pixel_values"] = [train_transforms(image) for image in images]
+        examples["input_ids"] = tokenize_captions(examples)
+        return examples
+
+    with accelerator.main_process_first():
+        if args.max_train_samples is not None:
+            dataset["train"] = dataset["train"].shuffle(seed=args.seed).select(range(args.max_train_samples))
+        # Set the training transforms
+        train_dataset = dataset["train"].with_transform(preprocess_train)
+
+    def collate_fn(examples):
+        pixel_values = torch.stack([example["pixel_values"] for example in examples])
+        pixel_values = pixel_values.to(memory_format=torch.contiguous_format).float()
+        input_ids = torch.stack([example["input_ids"] for example in examples])
+        return {"pixel_values": pixel_values, "input_ids": input_ids}
+
+    # DataLoaders creation:
+    train_dataloader = torch.utils.data.DataLoader(
+        train_dataset,
+        shuffle=True,
+        collate_fn=collate_fn,
+        batch_size=args.train_batch_size,
+        num_workers=args.dataloader_num_workers,
+    )
+
+    # Scheduler and math around the number of training steps.
+    overrode_max_train_steps = False
+    num_update_steps_per_epoch = math.ceil(len(train_dataloader) / args.gradient_accumulation_steps)
+    if args.max_train_steps is None:
+        args.max_train_steps = args.num_train_epochs * num_update_steps_per_epoch
+        overrode_max_train_steps = True
+
+    lr_scheduler = get_scheduler(
+        args.lr_scheduler,
+        optimizer=optimizer,
+        num_warmup_steps=args.lr_warmup_steps * args.gradient_accumulation_steps,
+        num_training_steps=args.max_train_steps * args.gradient_accumulation_steps,
+    )
+
+    # Prepare everything with our `accelerator`.
+    lora_layers, optimizer, train_dataloader, lr_scheduler = accelerator.prepare(
+        lora_layers, optimizer, train_dataloader, lr_scheduler
+    )
+
+    # We need to recalculate our total training steps as the size of the training dataloader may have changed.
+    num_update_steps_per_epoch = math.ceil(len(train_dataloader) / args.gradient_accumulation_steps)
+    if overrode_max_train_steps:
+        args.max_train_steps = args.num_train_epochs * num_update_steps_per_epoch
+    # Afterwards we recalculate our number of training epochs
+    args.num_train_epochs = math.ceil(args.max_train_steps / num_update_steps_per_epoch)
+
+    # We need to initialize the trackers we use, and also store our configuration.
+    # The trackers initializes automatically on the main process.
+    if accelerator.is_main_process:
+        accelerator.init_trackers("text2image-fine-tune", config=vars(args))
+
+    # Train!
+    total_batch_size = args.train_batch_size * accelerator.num_processes * args.gradient_accumulation_steps
+
+    logger.info("***** Running training *****")
+    logger.info(f"  Num examples = {len(train_dataset)}")
+    logger.info(f"  Num Epochs = {args.num_train_epochs}")
+    logger.info(f"  Instantaneous batch size per device = {args.train_batch_size}")
+    logger.info(f"  Total train batch size (w. parallel, distributed & accumulation) = {total_batch_size}")
+    logger.info(f"  Gradient Accumulation steps = {args.gradient_accumulation_steps}")
+    logger.info(f"  Total optimization steps = {args.max_train_steps}")
+    global_step = 0
+    first_epoch = 0
+
+    # Potentially load in the weights and states from a previous save
+    if args.resume_from_checkpoint:
+        if args.resume_from_checkpoint != "latest":
+            path = os.path.basename(args.resume_from_checkpoint)
+        else:
+            # Get the most recent checkpoint
+            dirs = os.listdir(args.output_dir)
+            dirs = [d for d in dirs if d.startswith("checkpoint")]
+            dirs = sorted(dirs, key=lambda x: int(x.split("-")[1]))
+            path = dirs[-1] if len(dirs) > 0 else None
+
+        if path is None:
+            accelerator.print(
+                f"Checkpoint '{args.resume_from_checkpoint}' does not exist. Starting a new training run."
+            )
+            args.resume_from_checkpoint = None
+        else:
+            accelerator.print(f"Resuming from checkpoint {path}")
+            accelerator.load_state(os.path.join(args.output_dir, path))
+            global_step = int(path.split("-")[1])
+
+            resume_global_step = global_step * args.gradient_accumulation_steps
+            first_epoch = global_step // num_update_steps_per_epoch
+            resume_step = resume_global_step % (num_update_steps_per_epoch * args.gradient_accumulation_steps)
+
+    # Only show the progress bar once on each machine.
+    progress_bar = tqdm(range(global_step, args.max_train_steps), disable=not accelerator.is_local_main_process)
+    progress_bar.set_description("Steps")
+
+    for epoch in range(first_epoch, args.num_train_epochs):
+        unet.train()
+        train_loss = 0.0
+        for step, batch in enumerate(train_dataloader):
+            # Skip steps until we reach the resumed step
+            if args.resume_from_checkpoint and epoch == first_epoch and step < resume_step:
+                if step % args.gradient_accumulation_steps == 0:
+                    progress_bar.update(1)
+                continue
+
+            with accelerator.accumulate(unet):
+                # Convert images to latent space
+                latents = vae.encode(batch["pixel_values"].to(dtype=weight_dtype)).latent_dist.sample()
+                latents = latents * vae.config.scaling_factor
+
+                # Sample noise that we'll add to the latents
+                noise = torch.randn_like(latents)
+                if args.noise_offset:
+                    # https://www.crosslabs.org//blog/diffusion-with-offset-noise
+                    noise += args.noise_offset * torch.randn(
+                        (latents.shape[0], latents.shape[1], 1, 1), device=latents.device
+                    )
+
+                bsz = latents.shape[0]
+                # Sample a random timestep for each image
+                timesteps = torch.randint(0, noise_scheduler.config.num_train_timesteps, (bsz,), device=latents.device)
+                timesteps = timesteps.long()
+
+                # Add noise to the latents according to the noise magnitude at each timestep
+                # (this is the forward diffusion process)
+                noisy_latents = noise_scheduler.add_noise(latents, noise, timesteps)
+
+                # Get the text embedding for conditioning
+                encoder_hidden_states = text_encoder(batch["input_ids"])[0]
+
+                # Get the target for loss depending on the prediction type
+                if args.prediction_type is not None:
+                    # set prediction_type of scheduler if defined
+                    noise_scheduler.register_to_config(prediction_type=args.prediction_type)
+
+                if noise_scheduler.config.prediction_type == "epsilon":
+                    target = noise
+                elif noise_scheduler.config.prediction_type == "v_prediction":
+                    target = noise_scheduler.get_velocity(latents, noise, timesteps)
+                else:
+                    raise ValueError(f"Unknown prediction type {noise_scheduler.config.prediction_type}")
+
+                # Predict the noise residual and compute loss
+                model_pred = unet(noisy_latents, timesteps, encoder_hidden_states).sample
+
+                if args.snr_gamma is None:
+                    loss = F.mse_loss(model_pred.float(), target.float(), reduction="mean")
+                else:
+                    # Compute loss-weights as per Section 3.4 of https://arxiv.org/abs/2303.09556.
+                    # Since we predict the noise instead of x_0, the original formulation is slightly changed.
+                    # This is discussed in Section 4.2 of the same paper.
+                    snr = compute_snr(timesteps)
+                    mse_loss_weights = (
+                        torch.stack([snr, args.snr_gamma * torch.ones_like(timesteps)], dim=1).min(dim=1)[0] / snr
+                    )
+                    # We first calculate the original loss. Then we mean over the non-batch dimensions and
+                    # rebalance the sample-wise losses with their respective loss weights.
+                    # Finally, we take the mean of the rebalanced loss.
+                    loss = F.mse_loss(model_pred.float(), target.float(), reduction="none")
+                    loss = loss.mean(dim=list(range(1, len(loss.shape)))) * mse_loss_weights
+                    loss = loss.mean()
+
+                # Gather the losses across all processes for logging (if we use distributed training).
+                avg_loss = accelerator.gather(loss.repeat(args.train_batch_size)).mean()
+                train_loss += avg_loss.item() / args.gradient_accumulation_steps
+
+                # Backpropagate
+                accelerator.backward(loss)
+                if accelerator.sync_gradients:
+                    params_to_clip = lora_layers.parameters()
+                    accelerator.clip_grad_norm_(params_to_clip, args.max_grad_norm)
+                optimizer.step()
+                lr_scheduler.step()
+                optimizer.zero_grad()
+
+            # Checks if the accelerator has performed an optimization step behind the scenes
+            if accelerator.sync_gradients:
+                progress_bar.update(1)
+                global_step += 1
+                accelerator.log({"train_loss": train_loss}, step=global_step)
+                train_loss = 0.0
+
+                if global_step % args.checkpointing_steps == 0:
+                    if accelerator.is_main_process:
+                        # _before_ saving state, check if this save would set us over the `checkpoints_total_limit`
+                        if args.checkpoints_total_limit is not None:
+                            checkpoints = os.listdir(args.output_dir)
+                            checkpoints = [d for d in checkpoints if d.startswith("checkpoint")]
+                            checkpoints = sorted(checkpoints, key=lambda x: int(x.split("-")[1]))
+
+                            # before we save the new checkpoint, we need to have at _most_ `checkpoints_total_limit - 1` checkpoints
+                            if len(checkpoints) >= args.checkpoints_total_limit:
+                                num_to_remove = len(checkpoints) - args.checkpoints_total_limit + 1
+                                removing_checkpoints = checkpoints[0:num_to_remove]
+
+                                logger.info(
+                                    f"{len(checkpoints)} checkpoints already exist, removing {len(removing_checkpoints)} checkpoints"
+                                )
+                                logger.info(f"removing checkpoints: {', '.join(removing_checkpoints)}")
+
+                                for removing_checkpoint in removing_checkpoints:
+                                    removing_checkpoint = os.path.join(args.output_dir, removing_checkpoint)
+                                    shutil.rmtree(removing_checkpoint)
+
+                        save_path = os.path.join(args.output_dir, f"checkpoint-{global_step}")
+                        accelerator.save_state(save_path)
+                        logger.info(f"Saved state to {save_path}")
+
+            logs = {"step_loss": loss.detach().item(), "lr": lr_scheduler.get_last_lr()[0]}
+            progress_bar.set_postfix(**logs)
+
+            if global_step >= args.max_train_steps:
+                break
+
+        if accelerator.is_main_process:
+            if args.validation_prompt is not None and epoch % args.validation_epochs == 0:
+                logger.info(
+                    f"Running validation... \n Generating {args.num_validation_images} images with prompt:"
+                    f" {args.validation_prompt}."
+                )
+                # create pipeline
+                pipeline = DiffusionPipeline.from_pretrained(
+                    args.pretrained_model_name_or_path,
+                    unet=accelerator.unwrap_model(unet),
+                    revision=args.revision,
+                    torch_dtype=weight_dtype,
+                    cache_dir=args.cache_dir,
+                )
+                pipeline = pipeline.to(accelerator.device)
+                pipeline.set_progress_bar_config(disable=True)
+
+                # run inference
+                generator = torch.Generator(device=accelerator.device)
+                if args.seed is not None:
+                    generator = generator.manual_seed(args.seed)
+                images = []
+                for _ in range(args.num_validation_images):
+                    images.append(
+                        pipeline(args.validation_prompt, num_inference_steps=30, generator=generator).images[0]
+                    )
+
+                for tracker in accelerator.trackers:
+                    if tracker.name == "tensorboard":
+                        np_images = np.stack([np.asarray(img) for img in images])
+                        tracker.writer.add_images("validation", np_images, epoch, dataformats="NHWC")
+                    if tracker.name == "wandb":
+                        tracker.log(
+                            {
+                                "validation": [
+                                    wandb.Image(image, caption=f"{i}: {args.validation_prompt}")
+                                    for i, image in enumerate(images)
+                                ]
+                            }
+                        )
+
+                del pipeline
+                torch.cuda.empty_cache()
+
+    # Save the lora layers
+    accelerator.wait_for_everyone()
+    if accelerator.is_main_process:
+        unet = unet.to(torch.float32)
+        unet.save_attn_procs(args.output_dir)
+
+        if args.push_to_hub:
+            save_model_card(
+                repo_id,
+                images=images,
+                base_model=args.pretrained_model_name_or_path,
+                dataset_name=args.dataset_name,
+                repo_folder=args.output_dir,
+            )
+            upload_folder(
+                repo_id=repo_id,
+                folder_path=args.output_dir,
+                commit_message="End of training",
+                ignore_patterns=["step_*", "epoch_*"],
+            )
+
+    # Final inference
+    # Load previous pipeline
+    pipeline = DiffusionPipeline.from_pretrained(
+        args.pretrained_model_name_or_path, revision=args.revision, torch_dtype=weight_dtype, cache_dir=args.cache_dir,
+    )
+    pipeline = pipeline.to(accelerator.device)
+
+    # load attention processors
+    pipeline.unet.load_attn_procs(args.output_dir)
+
+    # run inference
+    generator = torch.Generator(device=accelerator.device)
+    if args.seed is not None:
+        generator = generator.manual_seed(args.seed)
+    images = []
+    for _ in range(args.num_validation_images):
+        images.append(pipeline(args.validation_prompt, num_inference_steps=30, generator=generator).images[0])
+
+    if accelerator.is_main_process:
+        for tracker in accelerator.trackers:
+            if len(images) != 0:
+                if tracker.name == "tensorboard":
+                    np_images = np.stack([np.asarray(img) for img in images])
+                    tracker.writer.add_images("test", np_images, epoch, dataformats="NHWC")
+                if tracker.name == "wandb":
+                    tracker.log(
+                        {
+                            "test": [
+                                wandb.Image(image, caption=f"{i}: {args.validation_prompt}")
+                                for i, image in enumerate(images)
+                            ]
+                        }
+                    )
+
+    accelerator.end_training()
+
+
+if __name__ == "__main__":
+    main()