Performance PR

.gitattributes

@@ -1,30 +1,35 @@
-nsfweffnetv2-b02-3epochs.h5 filter=lfs diff=lfs merge=lfs -text
-fifth.gemb_.pt filter=lfs diff=lfs merge=lfs -text
-ninth.im_.pt filter=lfs diff=lfs merge=lfs -text
-tenth.gemb_.pt filter=lfs diff=lfs merge=lfs -text
-third.gemb_.pt filter=lfs diff=lfs merge=lfs -text
-eigth.gemb_.pt filter=lfs diff=lfs merge=lfs -text
-first.gemb_.pt filter=lfs diff=lfs merge=lfs -text
-fourth.gemb_.pt filter=lfs diff=lfs merge=lfs -text
-ninth.gemb_.pt filter=lfs diff=lfs merge=lfs -text
-sixth.gemb_.pt filter=lfs diff=lfs merge=lfs -text
-tenth.im_.pt filter=lfs diff=lfs merge=lfs -text
-eigth.im_.pt filter=lfs diff=lfs merge=lfs -text
-seventh.gemb_.pt filter=lfs diff=lfs merge=lfs -text
-sixth.im_.pt filter=lfs diff=lfs merge=lfs -text
-third.im_.pt filter=lfs diff=lfs merge=lfs -text
-fifth.im_.pt filter=lfs diff=lfs merge=lfs -text
-first.im_.pt filter=lfs diff=lfs merge=lfs -text
-fourth.im_.pt filter=lfs diff=lfs merge=lfs -text
-second.gemb_.pt filter=lfs diff=lfs merge=lfs -text
-second.im_.pt filter=lfs diff=lfs merge=lfs -text
-seventh.im_.pt filter=lfs diff=lfs merge=lfs -text
-image';l';.png filter=lfs diff=lfs merge=lfs -text
-second.png filter=lfs diff=lfs merge=lfs -text
-sixth.png filter=lfs diff=lfs merge=lfs -text
-third.png filter=lfs diff=lfs merge=lfs -text
-fifth.png filter=lfs diff=lfs merge=lfs -text
-first.png filter=lfs diff=lfs merge=lfs -text
-fourth.png filter=lfs diff=lfs merge=lfs -text
-*.mp4 filter=lfs diff=lfs merge=lfs -text
-*.png filter=lfs diff=lfs merge=lfs -text
+*.7z filter=lfs diff=lfs merge=lfs -text
+*.arrow filter=lfs diff=lfs merge=lfs -text
+*.bin filter=lfs diff=lfs merge=lfs -text
+*.bz2 filter=lfs diff=lfs merge=lfs -text
+*.ckpt filter=lfs diff=lfs merge=lfs -text
+*.ftz filter=lfs diff=lfs merge=lfs -text
+*.gz filter=lfs diff=lfs merge=lfs -text
+*.h5 filter=lfs diff=lfs merge=lfs -text
+*.joblib filter=lfs diff=lfs merge=lfs -text
+*.lfs.* filter=lfs diff=lfs merge=lfs -text
+*.mlmodel filter=lfs diff=lfs merge=lfs -text
+*.model filter=lfs diff=lfs merge=lfs -text
+*.msgpack filter=lfs diff=lfs merge=lfs -text
+*.npy filter=lfs diff=lfs merge=lfs -text
+*.npz filter=lfs diff=lfs merge=lfs -text
+*.onnx filter=lfs diff=lfs merge=lfs -text
+*.ot filter=lfs diff=lfs merge=lfs -text
+*.parquet filter=lfs diff=lfs merge=lfs -text
+*.pb filter=lfs diff=lfs merge=lfs -text
+*.pickle filter=lfs diff=lfs merge=lfs -text
+*.pkl filter=lfs diff=lfs merge=lfs -text
+*.pt filter=lfs diff=lfs merge=lfs -text
+*.pth filter=lfs diff=lfs merge=lfs -text
+*.rar filter=lfs diff=lfs merge=lfs -text
+*.safetensors filter=lfs diff=lfs merge=lfs -text
+saved_model/**/* filter=lfs diff=lfs merge=lfs -text
+*.tar.* filter=lfs diff=lfs merge=lfs -text
+*.tar filter=lfs diff=lfs merge=lfs -text
+*.tflite filter=lfs diff=lfs merge=lfs -text
+*.tgz filter=lfs diff=lfs merge=lfs -text
+*.wasm filter=lfs diff=lfs merge=lfs -text
+*.xz filter=lfs diff=lfs merge=lfs -text
+*.zip filter=lfs diff=lfs merge=lfs -text
+*.zst filter=lfs diff=lfs merge=lfs -text
+*tfevents* filter=lfs diff=lfs merge=lfs -text

.gitignore

@@ -1 +0,0 @@
-__pycache__*

README.md

@@ -1,12 +1,12 @@
 ---
-license: mit
-title: Blue Tigers
+title: Generative Recsys
+emoji: 🐨
+colorFrom: purple
+colorTo: blue
 sdk: gradio
-emoji: 👁
-colorFrom: blue
-colorTo: purple
-pinned: true
+sdk_version: 4.25.0
+app_file: app.py
+pinned: false
 ---
-# Blue Tigers
 
-Zahir with movement.
+Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference

app.py

@@ -1,336 +1,127 @@
+DEVICE = 'cpu'
 
-
-# TODO unify/merge origin and this
-# TODO save & restart from (if it exists) dataframe parquet
-import torch
-
-# lol
-DEVICE = 'cuda'
-STEPS = 8
-output_hidden_state = False
-device = "cuda"
-dtype = torch.bfloat16
-
-
-import spaces
-
-import matplotlib.pyplot as plt
-import matplotlib
-import logging
-
-import os
-import imageio
 import gradio as gr
 import numpy as np
 from sklearn.svm import LinearSVC
+from sklearn import preprocessing
 import pandas as pd
-from apscheduler.schedulers.background import BackgroundScheduler
-import sched
-import threading
+
+from diffusers import LCMScheduler, AutoencoderTiny, EulerDiscreteScheduler, UNet2DConditionModel
+from diffusers.models import ImageProjection
+from patch_sdxl import SDEmb
+import torch
+import spaces
 
 import random
 import time
-from PIL import Image
-# from safety_checker_improved import maybe_nsfw
 
+import torch
+from urllib.request import urlopen
 
-torch.set_grad_enabled(False)
-torch.backends.cuda.matmul.allow_tf32 = True
-torch.backends.cudnn.allow_tf32 = True
-
-prevs_df = pd.DataFrame(columns=['paths', 'embeddings', 'ips', 'user:rating', 'latest_user_to_rate', 'from_user_id', 'text', 'gemb'])
+from PIL import Image
+import requests
+from io import BytesIO, StringIO
 
-import spaces
-start_time = time.time()
+from huggingface_hub import hf_hub_download
+from safetensors.torch import load_file
 
 prompt_list = [p for p in list(set(
                 pd.read_csv('./twitter_prompts.csv').iloc[:, 1].tolist())) if type(p) == str]
 
+start_time = time.time()
 
 ####################### Setup Model
-from diffusers import EulerDiscreteScheduler, LCMScheduler, AutoencoderTiny, UNet2DConditionModel, AutoencoderKL, AutoPipelineForText2Image
-from transformers import CLIPTextModel
-from huggingface_hub import hf_hub_download
-from safetensors.torch import load_file
-from PIL import Image
-from transformers import CLIPVisionModelWithProjection
-import uuid
-import av
-
-def write_video(file_name, images, fps=16):
-    container = av.open(file_name, mode="w")
-
-    stream = container.add_stream("h264", rate=fps)
-    # stream.options = {'preset': 'faster'}
-    stream.thread_count = 1
-    stream.width = 512
-    stream.height = 512
-    stream.pix_fmt = "yuv420p"
-
-    for img in images:
-        img = np.array(img)
-        img = np.round(img).astype(np.uint8)
-        frame = av.VideoFrame.from_ndarray(img, format="rgb24")
-        for packet in stream.encode(frame):
-            container.mux(packet)
-    # Flush stream
-    for packet in stream.encode():
-        container.mux(packet)
-    # Close the file
-    container.close()
-
-def imio_write_video(file_name, images, fps=15):
-    writer = imageio.get_writer(file_name, fps=fps)
-
-    for im in images:
-        writer.append_data(np.array(im))
-    writer.close()
-
-
-image_encoder = CLIPVisionModelWithProjection.from_pretrained("h94/IP-Adapter", subfolder="sdxl_models/image_encoder", torch_dtype=dtype, 
-device_map='cuda')
-#vae = AutoencoderTiny.from_pretrained("madebyollin/taesd", torch_dtype=dtype)
-
-# vae = ConsistencyDecoderVAE.from_pretrained("openai/consistency-decoder", torch_dtype=dtype)
-# vae = compile_unet(vae, config=config)
-
-#finetune_path = '''/home/ryn_mote/Misc/finetune-sd1.5/dreambooth-model best'''''
-#unet = UNet2DConditionModel.from_pretrained(finetune_path+'/unet/').to(dtype)
-#text_encoder = CLIPTextModel.from_pretrained(finetune_path+'/text_encoder/').to(dtype)
-
-#rynmurdock/Sea_Claws
 model_id = "stabilityai/stable-diffusion-xl-base-1.0"
 sdxl_lightening = "ByteDance/SDXL-Lightning"
-ckpt = "sdxl_lightning_8step_unet.safetensors"
-unet = UNet2DConditionModel.from_config(model_id, subfolder="unet", low_cpu_mem_usage=True, device_map=DEVICE).to(torch.float16)
-unet.load_state_dict(load_file(hf_hub_download(sdxl_lightening, ckpt)))
-
-image_encoder = CLIPVisionModelWithProjection.from_pretrained("h94/IP-Adapter",  subfolder="models/image_encoder", torch_dtype=torch.float16, low_cpu_mem_usage=True, device_map=DEVICE)
-pipe = AutoPipelineForText2Image.from_pretrained(model_id, unet=unet, torch_dtype=torch.float16, variant="fp16", image_encoder=image_encoder, low_cpu_mem_usage=True)
-pipe.unet._load_ip_adapter_weights(torch.load(hf_hub_download('h94/IP-Adapter', 'sdxl_models/ip-adapter_sdxl_vit-h.bin')))
-pipe.load_ip_adapter("h94/IP-Adapter", subfolder="sdxl_models", weight_name="ip-adapter_sdxl_vit-h.bin")
-pipe.register_modules(image_encoder = image_encoder)
-pipe.set_ip_adapter_scale(0.8)
-
-#pipe.vae = AutoencoderTiny.from_pretrained("madebyollin/taesdxl", torch_dtype=torch.float16, low_cpu_mem_usage=True)
+ckpt = "sdxl_lightning_2step_unet.safetensors"
+unet = UNet2DConditionModel.from_config(model_id, subfolder="unet").to("cuda", torch.float16)
+unet.load_state_dict(load_file(hf_hub_download(sdxl_lightening, ckpt), device="cuda"))
+pipe = SDEmb.from_pretrained(model_id, unet=unet, torch_dtype=torch.float16, variant="fp16").to("cuda")
+pipe.vae = AutoencoderTiny.from_pretrained("madebyollin/taesdxl", torch_dtype=torch.float16)
 pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing")
+pipe.to(device='cuda')
+pipe.load_ip_adapter("h94/IP-Adapter", subfolder="sdxl_models", weight_name="ip-adapter_sdxl.bin")
 
-pipe.to(device=DEVICE).to(dtype=dtype)
 output_hidden_state = False
+#######################
 
-
-
-
-# pipe.unet.fuse_qkv_projections()
-#pipe.enable_free_init(method="gaussian", use_fast_sampling=True)
-
-#pipe.unet = torch.compile(pipe.unet)
-#pipe.vae = torch.compile(pipe.vae)
-
-
-
-@spaces.GPU()
-def generate_gpu(in_im_embs, prompt='the scene'):
+@spaces.GPU
+def predict(
+        prompt,
+        im_emb=None,
+        progress=gr.Progress(track_tqdm=True)
+    ):
+    """Run a single prediction on the model"""
     with torch.no_grad():
-        print(prompt)
-        in_im_embs = in_im_embs.to('cuda').unsqueeze(0)
-        output = pipe(prompt=prompt, guidance_scale=1, added_cond_kwargs={}, ip_adapter_image_embeds=[in_im_embs], num_inference_steps=STEPS)
+        if im_emb == None:
+            im_emb = torch.zeros(1, 1280, dtype=torch.float16, device='cuda')
+        image = pipe(
+            prompt=prompt,
+            ip_adapter_emb=im_emb.to('cuda'),
+            height=1024,
+            width=1024,                                                                                                             
+            num_inference_steps=2,
+            guidance_scale=0,
+            ).images[0]
         im_emb, _ = pipe.encode_image(
-                    output.images[0], 'cuda', 1, output_hidden_state
-                )
-        im_emb = im_emb.detach().to('cpu').to(torch.float32)
-    return output, im_emb
-
-
-def generate(in_im_embs, prompt='the scene'):
-    output, im_emb = generate_gpu(in_im_embs, prompt)
-    nsfw = False#maybe_nsfw(output.images[0])
-    
-    name = str(uuid.uuid4()).replace("-", "")
-    path = f"/tmp/{name}.png"
-    
-    if nsfw:
-        gr.Warning("NSFW content detected.")
-        # TODO could return an automatic dislike of auto dislike on the backend for neither as well; just would need refactoring.
-        return None, im_emb
-    
-    output.images[0].save(path)
-    return path, im_emb
-
-
-#######################
-
-
-
+                image, 'cuda', 1, output_hidden_state
+            )
+        return image, im_emb.to(DEVICE)
 
+# TODO add to state instead of shared across all
+glob_idx = 0
 
+def next_image(embs, ys, calibrate_prompts):
+    global glob_idx
+    glob_idx = glob_idx + 1
 
-@spaces.GPU()
-def solver(embs, ys):
-    print('ys:', ys,'EMBS:', embs.shape, embs)
-    ys = torch.tensor(ys).to('cpu', dtype=torch.float32).squeeze().unsqueeze(1)
+    # handle case where every instance of calibration prompts is 'Neither' or 'Like' or 'Dislike'
+    if len(calibrate_prompts) == 0 and len(list(set(ys))) <= 1:
+        embs.append(.01*torch.randn(1, 1280))
+        embs.append(.01*torch.randn(1, 1280))
+        ys.append(0)
+        ys.append(1)
+        
+    with torch.no_grad():
+        if len(calibrate_prompts) > 0:
+            print('######### Calibrating with sample prompts #########')
+            prompt = calibrate_prompts.pop(0)
+            print(prompt)
+            image, img_emb = predict(prompt)
+            embs.append(img_emb)
+            return image, embs, ys, calibrate_prompts
+        else:
+            print('######### Roaming #########')
+            # sample only as many negatives as there are positives
+            indices = range(len(ys))
+            pos_indices = [i for i in indices if ys[i] == 1]
+            neg_indices = [i for i in indices if ys[i] == 0]
+            lower = min(len(pos_indices), len(neg_indices))
+            neg_indices = random.sample(neg_indices, lower)
+            pos_indices = random.sample(pos_indices, lower)
 
-    sol = LinearSVC(class_weight='balanced').fit(np.array(embs), np.array(torch.tensor(ys).float() * 2 - 1)).coef_
-    return torch.tensor(sol).to('cpu', dtype=torch.float32)
+            cut_embs = [embs[i] for i in neg_indices] + [embs[i] for i in pos_indices]
+            cut_ys = [ys[i] for i in neg_indices] + [ys[i] for i in pos_indices]
 
+            feature_embs = torch.stack([e[0].detach().cpu() for e in cut_embs])
+            scaler = preprocessing.StandardScaler().fit(feature_embs)
+            feature_embs = scaler.transform(feature_embs)
+            print(np.array(feature_embs).shape, np.array(ys).shape)
 
+            lin_class = LinearSVC(max_iter=50000, dual='auto', class_weight='balanced').fit(np.array(feature_embs), np.array(cut_ys))
+            lin_class.coef_ = torch.tensor(lin_class.coef_, dtype=torch.double)
+            lin_class.coef_ = (lin_class.coef_.flatten() / (lin_class.coef_.flatten().norm())).unsqueeze(0)
 
 
-def get_user_emb(embs, ys):
-    # sample only as many negatives as there are positives
-    indices = range(len(ys))                
-    pos_indices = [i for i in indices if ys[i] > .5]
-    neg_indices = [i for i in indices if ys[i] <= .5]
-    
-    mini = min(len(pos_indices), len(neg_indices))
+            rng_prompt = random.choice(prompt_list)
 
-    if len(ys) > 20: # drop earliest of whichever of neg or pos is most abundant
-        if len(pos_indices) > len(neg_indices):
-            ind = pos_indices[0]
-        else:
-            ind = neg_indices[0]
-        ys.pop(ind)
-        embs.pop(ind)
-        print('Dropping at 20')
-    
-    if mini < 1:
-        feature_embs = torch.stack([torch.randn(1024), torch.randn(1024)])
-        ys_t = [0, 1]
-        print('Not enough ratings.')
-    else:
-        indices = range(len(ys))
-        ys_t = [ys[i] for i in indices]
-        feature_embs = torch.stack([embs[e].detach().cpu() for e in indices]).squeeze()
-        
-        # scaler = preprocessing.StandardScaler().fit(feature_embs)
-        # feature_embs = scaler.transform(feature_embs)
-        # ys_t = ys
-        
-        print(np.array(feature_embs).shape, np.array(ys_t).shape)
-    
-    sol = solver(feature_embs.squeeze(), ys_t)
-    dif = torch.tensor(sol, dtype=dtype).to(device)
-    
-    # could j have a base vector of a black image
-    latest_pos = (random.sample([feature_embs[i] for i in range(len(ys_t)) if ys_t[i] > .5], 1)[0]).to(device, dtype)
-
-    dif = ((dif / dif.std()) * latest_pos.std())
-
-    sol = (1*latest_pos + 3*dif)/4
-    return sol
-
-
-def pluck_img(user_id, user_emb):
-    not_rated_rows = prevs_df[[i[1]['user:rating'].get(user_id, 'gone') == 'gone' for i in prevs_df.iterrows()]]
-    while len(not_rated_rows) == 0:
-        not_rated_rows = prevs_df[[i[1]['user:rating'].get(user_id, 'gone') == 'gone' for i in prevs_df.iterrows()]]
-        time.sleep(.1)
-    # TODO optimize this lol
-    best_sim = -100000
-    for i in not_rated_rows.iterrows():
-        # TODO sloppy .to but it is 3am.
-        sim = torch.cosine_similarity(i[1]['embeddings'].detach().to('cpu'), user_emb.detach().to('cpu'))
-        if sim > best_sim:
-            best_sim = sim
-            best_row = i[1]
-    img = best_row['paths']
-    return img
-
-
-def background_next_image():
-        global prevs_df
-        # only let it get N (maybe 3) ahead of the user
-        #not_rated_rows = prevs_df[[i[1]['user:rating'] == {' ': ' '} for i in prevs_df.iterrows()]]
-        rated_rows = prevs_df[[i[1]['user:rating'] != {' ': ' '} for i in prevs_df.iterrows()]]
-        if len(rated_rows) < 4:
-            time.sleep(.1)
-        #    not_rated_rows = prevs_df[[i[1]['user:rating'] == {' ': ' '} for i in prevs_df.iterrows()]]
-            return
-
-        user_id_list = set(rated_rows['latest_user_to_rate'].to_list())
-        for uid in user_id_list:
-            rated_rows = prevs_df[[i[1]['user:rating'].get(uid, None) is not None for i in prevs_df.iterrows()]]
-            not_rated_rows = prevs_df[[i[1]['user:rating'].get(uid, None) is None for i in prevs_df.iterrows()]]
-            
-            # we need to intersect not_rated_rows from this user's embed > 7. Just add a new column on which user_id spawned the 
-            #   media. 
-            
-            unrated_from_user = not_rated_rows[[i[1]['from_user_id'] == uid for i in not_rated_rows.iterrows()]]
-            rated_from_user = rated_rows[[i[1]['from_user_id'] == uid for i in rated_rows.iterrows()]]
-
-            # we pop previous ratings if there are > n
-            if len(rated_from_user) >= 15:
-                oldest = rated_from_user.iloc[0]['paths']
-                prevs_df = prevs_df[prevs_df['paths'] != oldest]
-            # we don't compute more after n are in the queue for them
-            if len(unrated_from_user) >= 10:
-                continue
-            
-            if len(rated_rows) < 5:
-                continue
-            
-            embs, ys = pluck_embs_ys(uid)
-            
-            user_emb = get_user_emb(embs, [y[1] for y in ys])
-            
-
-            global glob_idx
-            glob_idx += 1
-            if glob_idx >= (len(prompt_list)-1):
-                glob_idx = 0
-
-
-            if glob_idx % 7 == 0:
-                text = prompt_list[glob_idx]
-            else:
-                text = 'an image'
-            img, embs = generate(user_emb, text)
-            
-            if img:
-                tmp_df = pd.DataFrame(columns=['paths', 'embeddings', 'ips', 'user:rating', 'latest_user_to_rate', 'text', 'gemb'])
-                tmp_df['paths'] = [img]
-                tmp_df['embeddings'] = [embs]
-                tmp_df['user:rating'] = [{' ': ' '}]
-                tmp_df['from_user_id'] = [uid]
-                tmp_df['text'] = [text]
-                prevs_df = pd.concat((prevs_df, tmp_df))
-                # we can free up storage by deleting the image
-                if len(prevs_df) > 500:
-                    oldest_path = prevs_df.iloc[6]['paths']
-                    if os.path.isfile(oldest_path):
-                        os.remove(oldest_path)
-                    else:
-                        # If it fails, inform the user.
-                        print("Error: %s file not found" % oldest_path)
-                    # only keep 50 images & embeddings & ips, then remove oldest besides calibrating
-                    prevs_df = pd.concat((prevs_df.iloc[:6], prevs_df.iloc[7:]))
-    
-
-def pluck_embs_ys(user_id):
-    rated_rows = prevs_df[[i[1]['user:rating'].get(user_id, None) != None for i in prevs_df.iterrows()]]
-    #not_rated_rows = prevs_df[[i[1]['user:rating'].get(user_id, None) == None for i in prevs_df.iterrows()]]
-    #while len(not_rated_rows) == 0:
-    #    not_rated_rows = prevs_df[[i[1]['user:rating'].get(user_id, None) == None for i in prevs_df.iterrows()]]
-    #    rated_rows = prevs_df[[i[1]['user:rating'].get(user_id, None) != None for i in prevs_df.iterrows()]]
-    #    time.sleep(.01)
-    #    print('current user has 0 not_rated_rows')
-    
-    embs = rated_rows['embeddings'].to_list()
-    ys = [i[user_id] for i in rated_rows['user:rating'].to_list()]
-    return embs, ys
-
-def next_image(calibrate_prompts, user_id):
-    with torch.no_grad():
-        if len(calibrate_prompts) > 0:
-            cal_video = calibrate_prompts.pop(0)
-            image = prevs_df[prevs_df['paths'] == cal_video]['paths'].to_list()[0]
-            return image, calibrate_prompts, 
-        else:
-            embs, ys = pluck_embs_ys(user_id)
-            ys_here = [y[1] for y in ys]
-            user_emb = get_user_emb(embs, ys_here)
-            image  = pluck_img(user_id, user_emb)
-            return image, calibrate_prompts, 
+            w = 1# if len(embs) % 2 == 0 else 0
+            im_emb = w * lin_class.coef_.to(device=DEVICE, dtype=torch.float16)
+            prompt= 'an image' if glob_idx % 2 == 0 else rng_prompt
+            print(prompt)
+            image, im_emb = predict(prompt, im_emb)
+            embs.append(im_emb)
+            return image, embs, ys, calibrate_prompts
 
 
 
@@ -340,72 +131,39 @@ def next_image(calibrate_prompts, user_id):
 
 
 
-def start(_, calibrate_prompts, user_id, request: gr.Request):
-    user_id = int(str(time.time())[-7:].replace('.', ''))
-    image, calibrate_prompts  = next_image(calibrate_prompts, user_id)
+def start(_, embs, ys, calibrate_prompts):
+    image, embs, ys, calibrate_prompts = next_image(embs, ys, calibrate_prompts)
     return [
-            gr.Button(value='👍', interactive=True), 
-            gr.Button(value='Neither (Space)', interactive=True, visible=False), 
-            gr.Button(value='👎', interactive=True),
+            gr.Button(value='Like (L)', interactive=True), 
+            gr.Button(value='Neither (Space)', interactive=True), 
+            gr.Button(value='Dislike (A)', interactive=True),
             gr.Button(value='Start', interactive=False),
-            gr.Button(value='👍 Content', interactive=True, visible=False),
-            gr.Button(value='👍 Style', interactive=True, visible=False),
             image,
-            calibrate_prompts,
-            user_id,
-            
+            embs,
+            ys,
+            calibrate_prompts
             ]
 
 
-def choose(img, choice, calibrate_prompts, user_id, request: gr.Request):
-    global prevs_df
-    
-    
-    if choice == '👍':
-        choice = [1, 1]
-    elif choice == 'Neither (Space)':
-        img, calibrate_prompts,  = next_image(calibrate_prompts, user_id)
-        return img, calibrate_prompts, 
-    elif choice == '👎':
-        choice = [0, 0]
-    elif choice == '👍 Style':
-        choice = [0, 1]
-    elif choice == '👍 Content':
-        choice = [1, 0]
+def choose(choice, embs, ys, calibrate_prompts):
+    if choice == 'Like':
+        choice = 1
+    elif choice == 'Neither':
+        _ = embs.pop(-1)
+        img, embs, ys, calibrate_prompts = next_image(embs, ys, calibrate_prompts)
+        return img, embs, ys, calibrate_prompts
     else:
-        assert False, f'choice is {choice}'
-    
-    # if we detected NSFW, leave that area of latent space regardless of how they rated chosen.
-    # TODO skip allowing rating & just continue
-
-    if img is None:
-        print('NSFW -- choice is disliked')
-        choice = [0, 0]
-    
-    row_mask = [p.split('/')[-1] in img for p in prevs_df['paths'].to_list()]
-    # if it's still in the dataframe, add the choice
-    if len(prevs_df.loc[row_mask, 'user:rating']) > 0:
-        prevs_df.loc[row_mask, 'user:rating'][0][user_id] = choice
-        print(row_mask, prevs_df.loc[row_mask, 'latest_user_to_rate'], [user_id])
-        prevs_df.loc[row_mask, 'latest_user_to_rate'] = [user_id]
-    img, calibrate_prompts = next_image(calibrate_prompts, user_id)
-    return img, calibrate_prompts
+        choice = 0
+    ys.append(choice)
+    img, embs, ys, calibrate_prompts = next_image(embs, ys, calibrate_prompts)
+    return img, embs, ys, calibrate_prompts
 
 css = '''.gradio-container{max-width: 700px !important}
 #description{text-align: center}
-#description h1, #description h3{display: block}
+#description h1{display: block}
 #description p{margin-top: 0}
-.fade-in-out {animation: fadeInOut 3s forwards}
-@keyframes fadeInOut {
-    0% {
-      background: var(--bg-color);
-    }
-    100% {
-      background: var(--button-secondary-background-fill);
-    }
-}
 '''
-js_head = '''
+js = '''
 <script>
 document.addEventListener('keydown', function(event) {
     if (event.key === 'a' || event.key === 'A') {
@@ -419,158 +177,54 @@ document.addEventListener('keydown', function(event) {
         document.getElementById('like').click();
     }
 });
-function fadeInOut(button, color) {
-  button.style.setProperty('--bg-color', color);
-  button.classList.remove('fade-in-out');
-  void button.offsetWidth; // This line forces a repaint by accessing a DOM property
-  
-  button.classList.add('fade-in-out');
-  button.addEventListener('animationend', () => {
-    button.classList.remove('fade-in-out'); // Reset the animation state
-  }, {once: true});
-}
-document.body.addEventListener('click', function(event) {
-    const target = event.target;
-    if (target.id === 'dislike') {
-      fadeInOut(target, '#ff1717');
-    } else if (target.id === 'like') {
-      fadeInOut(target, '#006500');
-    } else if (target.id === 'neither') {
-      fadeInOut(target, '#cccccc');
-    }
-});
-
 </script>
 '''
 
-with gr.Blocks(css=css, head=js_head) as demo:
-    gr.Markdown('''# Zahir
-### Generative Recommenders for Exporation of Possible Images
-
-Explore the latent space without text prompts based on your preferences. Learn more on [the write-up](https://rynmurdock.github.io/posts/2024/3/generative_recomenders/).
+with gr.Blocks(css=css, head=js) as demo:
+    gr.Markdown('''# Generative Recommenders
+    Explore the latent space without text prompts, based on your preferences. [Learn more on the blog](https://rynmurdock.github.io/posts/2024/3/generative_recomenders/)
     ''', elem_id="description")
-    user_id = gr.State()
-    # calibration videos -- this is a misnomer now :D
+    embs = gr.State([])
+    ys = gr.State([])
     calibrate_prompts = gr.State([
-    './5o.png',
-    './2o.png',
-    './6o.png',
-    './7o.png',
-    './1o.png',
-    './8o.png',
-    './3o.png',
-    './4o.png',
-    './10o.png',
-    './9o.png',
+    "4k photo",
+    'surrealist art',
+    # 'a psychedelic, fractal view',
+    'a beautiful collage',
+    'abstract art',
+    'an eldritch image',
+    'a sketch',
+    # 'a city full of darkness and graffiti',
+    '',
     ])
-    def l():
-        return None
 
     with gr.Row(elem_id='output-image'):
-        img = gr.Image(
-        label='Lightning',
-#        autoplay=True,
-        interactive=False,
-#        height=512,
-#        width=512,
-        #include_audio=False,
-        elem_id="video_output",
-        type='filepath',
-       )
-        #img.play(l, js='''document.querySelector('[data-testid="Lightning-player"]').loop = true''')
-    
-    
-    
+        img = gr.Image(interactive=False, elem_id='output-image',width=700)
     with gr.Row(equal_height=True):
-        b3 = gr.Button(value='👎', interactive=False, elem_id="dislike")
-
-        b2 = gr.Button(value='Neither (Space)', interactive=False, elem_id="neither", visible=False)
-
-        b1 = gr.Button(value='👍', interactive=False, elem_id="like")
-    with gr.Row(equal_height=True):
-        b6 = gr.Button(value='👍 Style', interactive=False, elem_id="dislike like", visible=False)
-        
-        b5 = gr.Button(value='👍 Content', interactive=False, elem_id="like dislike", visible=False) 
-        
+        b3 = gr.Button(value='Dislike (A)', interactive=False, elem_id="dislike")
+        b2 = gr.Button(value='Neither (Space)', interactive=False, elem_id="neither")
+        b1 = gr.Button(value='Like (L)', interactive=False, elem_id="like")
         b1.click(
         choose, 
-        [img, b1, calibrate_prompts, user_id],
-        [img, calibrate_prompts, ],
+        [b1, embs, ys, calibrate_prompts],
+        [img, embs, ys, calibrate_prompts]
         )
         b2.click(
         choose, 
-        [img, b2, calibrate_prompts, user_id],
-        [img, calibrate_prompts, ],
+        [b2, embs, ys, calibrate_prompts],
+        [img, embs, ys, calibrate_prompts]
         )
         b3.click(
         choose, 
-        [img, b3, calibrate_prompts, user_id],
-        [img, calibrate_prompts, ],
-        )
-        b5.click(
-        choose, 
-        [img, b5, calibrate_prompts, user_id],
-        [img, calibrate_prompts, ],
-        )
-        b6.click(
-        choose, 
-        [img, b6, calibrate_prompts, user_id],
-        [img, calibrate_prompts, ],
+        [b3, embs, ys, calibrate_prompts],
+        [img, embs, ys, calibrate_prompts]
         )
     with gr.Row():
         b4 = gr.Button(value='Start')
         b4.click(start,
-                 [b4, calibrate_prompts, user_id],
-                 [b1, b2, b3, b4, b5, b6, img, calibrate_prompts, user_id, ]
-                 )
+                 [b4, embs, ys, calibrate_prompts],
+                 [b1, b2, b3, b4, img, embs, ys, calibrate_prompts])
     with gr.Row():
-        html = gr.HTML('''<div style='text-align:center; font-size:20px'>You will calibrate for several images and then roam. </ div><br><br><br>
-
-<br><br>
-<div style='text-align:center; font-size:14px'>Thanks to @multimodalart for their contributions to the demo, esp. the interface and @maxbittker for feedback.
-</ div>''')
-
-# TODO quiet logging
-
-scheduler = BackgroundScheduler()
-scheduler.add_job(func=background_next_image, trigger="interval", seconds=.2)
-scheduler.start()
-
-#thread = threading.Thread(target=background_next_image,)
-#thread.start()
-
-# TODO shouldn't call this before gradio launch, yeah?
-@spaces.GPU()
-def encode_space(x):
-    im_emb, _ = pipe.encode_image(
-                image, DEVICE, 1, output_hidden_state
-            )
-    return im_emb.detach().to('cpu').to(torch.float32)
-
-# prep our calibration videos
-for im, txt in [ # DO NOT NAME THESE PNGs JUST NUMBERS! apparently we assign images by number
-    ('./1o.png', 'describe the scene: omens in the suburbs'),
-    ('./2o.png', 'describe the scene: geometric abstract art of a windmill'),
-    ('./3o.png', 'describe the scene: memento mori'),
-    ('./4o.png', 'describe the scene: a green plate with anespresso'),
-    ('./5o.png', '5 '),
-    ('./6o.png', '6 '),
-    ('./7o.png', '7 '),
-    ('./8o.png', '8 '),
-    ('./9o.png', '9 '),
-    ('./10o.png', '10 '),
-    ]:
-    tmp_df = pd.DataFrame(columns=['paths', 'embeddings', 'ips', 'user:rating', 'text', 'gemb'])
-    tmp_df['paths'] = [im]
-    image = Image.open(im).convert('RGB')
-    im_emb = encode_space(image)
-    
-    tmp_df['embeddings'] = [im_emb.detach().to('cpu')]
-    tmp_df['user:rating'] = [{' ': ' '}]
-    tmp_df['text'] = [txt]
-    prevs_df = pd.concat((prevs_df, tmp_df))
-
-glob_idx = 0
-demo.launch(share=True,)
-
+        html = gr.HTML('''<div style='text-align:center; font-size:20px'>You will calibrate for several prompts and then roam.</ div>''')
 
+demo.launch()  # Share your demo with just 1 extra parameter 🚀

nsfweffnetv2-b02-3epochs.h5

@@ -1,3 +0,0 @@
-version https://git-lfs.github.com/spec/v1
-oid sha256:91422f388d1632c1af21b3d787b4f6c1a8e6114f600162d392b0bf285ff8a433
-size 71027272

patch_sdxl.py

@@ -0,0 +1,559 @@
+import inspect
+from typing import Any, Callable, Dict, List, Optional, Union, Tuple
+
+from diffusers import StableDiffusionXLPipeline
+
+import torch
+from packaging import version
+from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer, CLIPVisionModelWithProjection
+
+from diffusers.configuration_utils import FrozenDict
+from diffusers.image_processor import PipelineImageInput, VaeImageProcessor
+from diffusers.loaders import FromSingleFileMixin, IPAdapterMixin, LoraLoaderMixin, TextualInversionLoaderMixin
+from diffusers.models import AutoencoderKL, ImageProjection, UNet2DConditionModel
+from diffusers.models.attention_processor import FusedAttnProcessor2_0
+from diffusers.models.lora import adjust_lora_scale_text_encoder
+from diffusers.schedulers import KarrasDiffusionSchedulers
+from diffusers.utils import (
+    USE_PEFT_BACKEND,
+    deprecate,
+    logging,
+    replace_example_docstring,
+    scale_lora_layers,
+    unscale_lora_layers,
+)
+from diffusers.pipelines.stable_diffusion_xl import StableDiffusionXLPipelineOutput
+
+
+
+from transformers import CLIPFeatureExtractor
+import numpy as np
+import torch
+from PIL import Image 
+from typing import Optional, Tuple, Union
+
+device = torch.device("cuda" if torch.cuda.is_available() else "cpu")
+torch_device = device
+torch_dtype = torch.float16
+
+
+logger = logging.get_logger(__name__)  # pylint: disable=invalid-name
+
+EXAMPLE_DOC_STRING = """
+    Examples:
+        ```py
+        >>> import torch
+        >>> from diffusers import StableDiffusionPipeline
+
+        >>> pipe = StableDiffusionPipeline.from_pretrained("runwayml/stable-diffusion-v1-5", torch_dtype=torch.float16)
+        >>> pipe = pipe.to("cuda")
+
+        >>> prompt = "a photo of an astronaut riding a horse on mars"
+        >>> image = pipe(prompt).images[0]
+        ```
+"""
+
+
+def rescale_noise_cfg(noise_cfg, noise_pred_text, guidance_rescale=0.0):
+    """
+    Rescale `noise_cfg` according to `guidance_rescale`. Based on findings of [Common Diffusion Noise Schedules and
+    Sample Steps are Flawed](https://arxiv.org/pdf/2305.08891.pdf). See Section 3.4
+    """
+    std_text = noise_pred_text.std(dim=list(range(1, noise_pred_text.ndim)), keepdim=True)
+    std_cfg = noise_cfg.std(dim=list(range(1, noise_cfg.ndim)), keepdim=True)
+    # rescale the results from guidance (fixes overexposure)
+    noise_pred_rescaled = noise_cfg * (std_text / std_cfg)
+    # mix with the original results from guidance by factor guidance_rescale to avoid "plain looking" images
+    noise_cfg = guidance_rescale * noise_pred_rescaled + (1 - guidance_rescale) * noise_cfg
+    return noise_cfg
+
+
+def retrieve_timesteps(
+    scheduler,
+    num_inference_steps: Optional[int] = None,
+    device: Optional[Union[str, torch.device]] = None,
+    timesteps: Optional[List[int]] = None,
+    **kwargs,
+):
+    """
+    Calls the scheduler's `set_timesteps` method and retrieves timesteps from the scheduler after the call. Handles
+    custom timesteps. Any kwargs will be supplied to `scheduler.set_timesteps`.
+
+    Args:
+        scheduler (`SchedulerMixin`):
+            The scheduler to get timesteps from.
+        num_inference_steps (`int`):
+            The number of diffusion steps used when generating samples with a pre-trained model. If used,
+            `timesteps` must be `None`.
+        device (`str` or `torch.device`, *optional*):
+            The device to which the timesteps should be moved to. If `None`, the timesteps are not moved.
+        timesteps (`List[int]`, *optional*):
+                Custom timesteps used to support arbitrary spacing between timesteps. If `None`, then the default
+                timestep spacing strategy of the scheduler is used. If `timesteps` is passed, `num_inference_steps`
+                must be `None`.
+
+    Returns:
+        `Tuple[torch.Tensor, int]`: A tuple where the first element is the timestep schedule from the scheduler and the
+        second element is the number of inference steps.
+    """
+    if timesteps is not None:
+        accepts_timesteps = "timesteps" in set(inspect.signature(scheduler.set_timesteps).parameters.keys())
+        if not accepts_timesteps:
+            raise ValueError(
+                f"The current scheduler class {scheduler.__class__}'s `set_timesteps` does not support custom"
+                f" timestep schedules. Please check whether you are using the correct scheduler."
+            )
+        scheduler.set_timesteps(timesteps=timesteps, device=device, **kwargs)
+        timesteps = scheduler.timesteps
+        num_inference_steps = len(timesteps)
+    else:
+        scheduler.set_timesteps(num_inference_steps, device=device, **kwargs)
+        timesteps = scheduler.timesteps
+    return timesteps, num_inference_steps
+
+
+class SDEmb(StableDiffusionXLPipeline):
+    @torch.no_grad()
+    @replace_example_docstring(EXAMPLE_DOC_STRING)
+    def __call__(
+        self,
+        prompt: Union[str, List[str]] = None,
+        prompt_2: Optional[Union[str, List[str]]] = None,
+        height: Optional[int] = None,
+        width: Optional[int] = None,
+        num_inference_steps: int = 50,
+        timesteps: List[int] = None,
+        denoising_end: Optional[float] = None,
+        guidance_scale: float = 5.0,
+        negative_prompt: Optional[Union[str, List[str]]] = None,
+        negative_prompt_2: Optional[Union[str, List[str]]] = None,
+        num_images_per_prompt: Optional[int] = 1,
+        eta: float = 0.0,
+        generator: Optional[Union[torch.Generator, List[torch.Generator]]] = None,
+        latents: Optional[torch.FloatTensor] = None,
+        prompt_embeds: Optional[torch.FloatTensor] = None,
+        negative_prompt_embeds: Optional[torch.FloatTensor] = None,
+        pooled_prompt_embeds: Optional[torch.FloatTensor] = None,
+        negative_pooled_prompt_embeds: Optional[torch.FloatTensor] = None,
+        ip_adapter_image: Optional[PipelineImageInput] = None,
+        output_type: Optional[str] = "pil",
+        return_dict: bool = True,
+        cross_attention_kwargs: Optional[Dict[str, Any]] = None,
+        guidance_rescale: float = 0.0,
+        original_size: Optional[Tuple[int, int]] = None,
+        crops_coords_top_left: Tuple[int, int] = (0, 0),
+        target_size: Optional[Tuple[int, int]] = None,
+        negative_original_size: Optional[Tuple[int, int]] = None,
+        negative_crops_coords_top_left: Tuple[int, int] = (0, 0),
+        negative_target_size: Optional[Tuple[int, int]] = None,
+        clip_skip: Optional[int] = None,
+        callback_on_step_end: Optional[Callable[[int, int, Dict], None]] = None,
+        callback_on_step_end_tensor_inputs: List[str] = ["latents"],
+        ip_adapter_emb=None,
+        **kwargs,
+    ):
+        r"""
+        Function invoked when calling the pipeline for generation.
+
+        Args:
+            prompt (`str` or `List[str]`, *optional*):
+                The prompt or prompts to guide the image generation. If not defined, one has to pass `prompt_embeds`.
+                instead.
+            prompt_2 (`str` or `List[str]`, *optional*):
+                The prompt or prompts to be sent to the `tokenizer_2` and `text_encoder_2`. If not defined, `prompt` is
+                used in both text-encoders
+            height (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor):
+                The height in pixels of the generated image. This is set to 1024 by default for the best results.
+                Anything below 512 pixels won't work well for
+                [stabilityai/stable-diffusion-xl-base-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0)
+                and checkpoints that are not specifically fine-tuned on low resolutions.
+            width (`int`, *optional*, defaults to self.unet.config.sample_size * self.vae_scale_factor):
+                The width in pixels of the generated image. This is set to 1024 by default for the best results.
+                Anything below 512 pixels won't work well for
+                [stabilityai/stable-diffusion-xl-base-1.0](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0)
+                and checkpoints that are not specifically fine-tuned on low resolutions.
+            num_inference_steps (`int`, *optional*, defaults to 50):
+                The number of denoising steps. More denoising steps usually lead to a higher quality image at the
+                expense of slower inference.
+            timesteps (`List[int]`, *optional*):
+                Custom timesteps to use for the denoising process with schedulers which support a `timesteps` argument
+                in their `set_timesteps` method. If not defined, the default behavior when `num_inference_steps` is
+                passed will be used. Must be in descending order.
+            denoising_end (`float`, *optional*):
+                When specified, determines the fraction (between 0.0 and 1.0) of the total denoising process to be
+                completed before it is intentionally prematurely terminated. As a result, the returned sample will
+                still retain a substantial amount of noise as determined by the discrete timesteps selected by the
+                scheduler. The denoising_end parameter should ideally be utilized when this pipeline forms a part of a
+                "Mixture of Denoisers" multi-pipeline setup, as elaborated in [**Refining the Image
+                Output**](https://huggingface.co/docs/diffusers/api/pipelines/stable_diffusion/stable_diffusion_xl#refining-the-image-output)
+            guidance_scale (`float`, *optional*, defaults to 5.0):
+                Guidance scale as defined in [Classifier-Free Diffusion Guidance](https://arxiv.org/abs/2207.12598).
+                `guidance_scale` is defined as `w` of equation 2. of [Imagen
+                Paper](https://arxiv.org/pdf/2205.11487.pdf). Guidance scale is enabled by setting `guidance_scale >
+                1`. Higher guidance scale encourages to generate images that are closely linked to the text `prompt`,
+                usually at the expense of lower image quality.
+            negative_prompt (`str` or `List[str]`, *optional*):
+                The prompt or prompts not to guide the image generation. If not defined, one has to pass
+                `negative_prompt_embeds` instead. Ignored when not using guidance (i.e., ignored if `guidance_scale` is
+                less than `1`).
+            negative_prompt_2 (`str` or `List[str]`, *optional*):
+                The prompt or prompts not to guide the image generation to be sent to `tokenizer_2` and
+                `text_encoder_2`. If not defined, `negative_prompt` is used in both text-encoders
+            num_images_per_prompt (`int`, *optional*, defaults to 1):
+                The number of images to generate per prompt.
+            eta (`float`, *optional*, defaults to 0.0):
+                Corresponds to parameter eta (η) in the DDIM paper: https://arxiv.org/abs/2010.02502. Only applies to
+                [`schedulers.DDIMScheduler`], will be ignored for others.
+            generator (`torch.Generator` or `List[torch.Generator]`, *optional*):
+                One or a list of [torch generator(s)](https://pytorch.org/docs/stable/generated/torch.Generator.html)
+                to make generation deterministic.
+            latents (`torch.FloatTensor`, *optional*):
+                Pre-generated noisy latents, sampled from a Gaussian distribution, to be used as inputs for image
+                generation. Can be used to tweak the same generation with different prompts. If not provided, a latents
+                tensor will ge generated by sampling using the supplied random `generator`.
+            prompt_embeds (`torch.FloatTensor`, *optional*):
+                Pre-generated text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt weighting. If not
+                provided, text embeddings will be generated from `prompt` input argument.
+            negative_prompt_embeds (`torch.FloatTensor`, *optional*):
+                Pre-generated negative text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt
+                weighting. If not provided, negative_prompt_embeds will be generated from `negative_prompt` input
+                argument.
+            pooled_prompt_embeds (`torch.FloatTensor`, *optional*):
+                Pre-generated pooled text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt weighting.
+                If not provided, pooled text embeddings will be generated from `prompt` input argument.
+            negative_pooled_prompt_embeds (`torch.FloatTensor`, *optional*):
+                Pre-generated negative pooled text embeddings. Can be used to easily tweak text inputs, *e.g.* prompt
+                weighting. If not provided, pooled negative_prompt_embeds will be generated from `negative_prompt`
+                input argument.
+            ip_adapter_image: (`PipelineImageInput`, *optional*): Optional image input to work with IP Adapters.
+            output_type (`str`, *optional*, defaults to `"pil"`):
+                The output format of the generate image. Choose between
+                [PIL](https://pillow.readthedocs.io/en/stable/): `PIL.Image.Image` or `np.array`.
+            return_dict (`bool`, *optional*, defaults to `True`):
+                Whether or not to return a [`~pipelines.stable_diffusion_xl.StableDiffusionXLPipelineOutput`] instead
+                of a plain tuple.
+            cross_attention_kwargs (`dict`, *optional*):
+                A kwargs dictionary that if specified is passed along to the `AttentionProcessor` as defined under
+                `self.processor` in
+                [diffusers.models.attention_processor](https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/attention_processor.py).
+            guidance_rescale (`float`, *optional*, defaults to 0.0):
+                Guidance rescale factor proposed by [Common Diffusion Noise Schedules and Sample Steps are
+                Flawed](https://arxiv.org/pdf/2305.08891.pdf) `guidance_scale` is defined as `φ` in equation 16. of
+                [Common Diffusion Noise Schedules and Sample Steps are Flawed](https://arxiv.org/pdf/2305.08891.pdf).
+                Guidance rescale factor should fix overexposure when using zero terminal SNR.
+            original_size (`Tuple[int]`, *optional*, defaults to (1024, 1024)):
+                If `original_size` is not the same as `target_size` the image will appear to be down- or upsampled.
+                `original_size` defaults to `(height, width)` if not specified. Part of SDXL's micro-conditioning as
+                explained in section 2.2 of
+                [https://huggingface.co/papers/2307.01952](https://huggingface.co/papers/2307.01952).
+            crops_coords_top_left (`Tuple[int]`, *optional*, defaults to (0, 0)):
+                `crops_coords_top_left` can be used to generate an image that appears to be "cropped" from the position
+                `crops_coords_top_left` downwards. Favorable, well-centered images are usually achieved by setting
+                `crops_coords_top_left` to (0, 0). Part of SDXL's micro-conditioning as explained in section 2.2 of
+                [https://huggingface.co/papers/2307.01952](https://huggingface.co/papers/2307.01952).
+            target_size (`Tuple[int]`, *optional*, defaults to (1024, 1024)):
+                For most cases, `target_size` should be set to the desired height and width of the generated image. If
+                not specified it will default to `(height, width)`. Part of SDXL's micro-conditioning as explained in
+                section 2.2 of [https://huggingface.co/papers/2307.01952](https://huggingface.co/papers/2307.01952).
+            negative_original_size (`Tuple[int]`, *optional*, defaults to (1024, 1024)):
+                To negatively condition the generation process based on a specific image resolution. Part of SDXL's
+                micro-conditioning as explained in section 2.2 of
+                [https://huggingface.co/papers/2307.01952](https://huggingface.co/papers/2307.01952). For more
+                information, refer to this issue thread: https://github.com/huggingface/diffusers/issues/4208.
+            negative_crops_coords_top_left (`Tuple[int]`, *optional*, defaults to (0, 0)):
+                To negatively condition the generation process based on a specific crop coordinates. Part of SDXL's
+                micro-conditioning as explained in section 2.2 of
+                [https://huggingface.co/papers/2307.01952](https://huggingface.co/papers/2307.01952). For more
+                information, refer to this issue thread: https://github.com/huggingface/diffusers/issues/4208.
+            negative_target_size (`Tuple[int]`, *optional*, defaults to (1024, 1024)):
+                To negatively condition the generation process based on a target image resolution. It should be as same
+                as the `target_size` for most cases. Part of SDXL's micro-conditioning as explained in section 2.2 of
+                [https://huggingface.co/papers/2307.01952](https://huggingface.co/papers/2307.01952). For more
+                information, refer to this issue thread: https://github.com/huggingface/diffusers/issues/4208.
+            callback_on_step_end (`Callable`, *optional*):
+                A function that calls at the end of each denoising steps during the inference. The function is called
+                with the following arguments: `callback_on_step_end(self: DiffusionPipeline, step: int, timestep: int,
+                callback_kwargs: Dict)`. `callback_kwargs` will include a list of all tensors as specified by
+                `callback_on_step_end_tensor_inputs`.
+            callback_on_step_end_tensor_inputs (`List`, *optional*):
+                The list of tensor inputs for the `callback_on_step_end` function. The tensors specified in the list
+                will be passed as `callback_kwargs` argument. You will only be able to include variables listed in the
+                `._callback_tensor_inputs` attribute of your pipeline class.
+
+        Examples:
+
+        Returns:
+            [`~pipelines.stable_diffusion_xl.StableDiffusionXLPipelineOutput`] or `tuple`:
+            [`~pipelines.stable_diffusion_xl.StableDiffusionXLPipelineOutput`] if `return_dict` is True, otherwise a
+            `tuple`. When returning a tuple, the first element is a list with the generated images.
+        """
+
+        callback = kwargs.pop("callback", None)
+        callback_steps = kwargs.pop("callback_steps", None)
+
+        if callback is not None:
+            deprecate(
+                "callback",
+                "1.0.0",
+                "Passing `callback` as an input argument to `__call__` is deprecated, consider use `callback_on_step_end`",
+            )
+        if callback_steps is not None:
+            deprecate(
+                "callback_steps",
+                "1.0.0",
+                "Passing `callback_steps` as an input argument to `__call__` is deprecated, consider use `callback_on_step_end`",
+            )
+
+        # 0. Default height and width to unet
+        height = height or self.default_sample_size * self.vae_scale_factor
+        width = width or self.default_sample_size * self.vae_scale_factor
+
+        original_size = original_size or (height, width)
+        target_size = target_size or (height, width)
+
+        # 1. Check inputs. Raise error if not correct
+        self.check_inputs(
+            prompt,
+            prompt_2,
+            height,
+            width,
+            callback_steps,
+            negative_prompt,
+            negative_prompt_2,
+            prompt_embeds,
+            negative_prompt_embeds,
+            pooled_prompt_embeds,
+            negative_pooled_prompt_embeds,
+            callback_on_step_end_tensor_inputs,
+        )
+
+        self._guidance_scale = guidance_scale
+        self._guidance_rescale = guidance_rescale
+        self._clip_skip = clip_skip
+        self._cross_attention_kwargs = cross_attention_kwargs
+        self._denoising_end = denoising_end
+        self._interrupt = False
+
+        # 2. Define call parameters
+        if prompt is not None and isinstance(prompt, str):
+            batch_size = 1
+        elif prompt is not None and isinstance(prompt, list):
+            batch_size = len(prompt)
+        else:
+            batch_size = prompt_embeds.shape[0]
+
+        device = self._execution_device
+
+        # 3. Encode input prompt
+        lora_scale = (
+            self.cross_attention_kwargs.get("scale", None) if self.cross_attention_kwargs is not None else None
+        )
+
+        (
+            prompt_embeds,
+            negative_prompt_embeds,
+            pooled_prompt_embeds,
+            negative_pooled_prompt_embeds,
+        ) = self.encode_prompt(
+            prompt=prompt,
+            prompt_2=prompt_2,
+            device=device,
+            num_images_per_prompt=num_images_per_prompt,
+            do_classifier_free_guidance=self.do_classifier_free_guidance,
+            negative_prompt=negative_prompt,
+            negative_prompt_2=negative_prompt_2,
+            prompt_embeds=prompt_embeds,
+            negative_prompt_embeds=negative_prompt_embeds,
+            pooled_prompt_embeds=pooled_prompt_embeds,
+            negative_pooled_prompt_embeds=negative_pooled_prompt_embeds,
+            lora_scale=lora_scale,
+            clip_skip=self.clip_skip,
+        )
+
+        # 4. Prepare timesteps
+        timesteps, num_inference_steps = retrieve_timesteps(self.scheduler, num_inference_steps, device, timesteps)
+
+        # 5. Prepare latent variables
+        num_channels_latents = self.unet.config.in_channels
+        latents = self.prepare_latents(
+            batch_size * num_images_per_prompt,
+            num_channels_latents,
+            height,
+            width,
+            prompt_embeds.dtype,
+            device,
+            generator,
+            latents,
+        )
+
+        # 6. Prepare extra step kwargs. TODO: Logic should ideally just be moved out of the pipeline
+        extra_step_kwargs = self.prepare_extra_step_kwargs(generator, eta)
+
+        # 7. Prepare added time ids & embeddings
+        add_text_embeds = pooled_prompt_embeds
+        if self.text_encoder_2 is None:
+            text_encoder_projection_dim = int(pooled_prompt_embeds.shape[-1])
+        else:
+            text_encoder_projection_dim = self.text_encoder_2.config.projection_dim
+
+        add_time_ids = self._get_add_time_ids(
+            original_size,
+            crops_coords_top_left,
+            target_size,
+            dtype=prompt_embeds.dtype,
+            text_encoder_projection_dim=text_encoder_projection_dim,
+        )
+        if negative_original_size is not None and negative_target_size is not None:
+            negative_add_time_ids = self._get_add_time_ids(
+                negative_original_size,
+                negative_crops_coords_top_left,
+                negative_target_size,
+                dtype=prompt_embeds.dtype,
+                text_encoder_projection_dim=text_encoder_projection_dim,
+            )
+        else:
+            negative_add_time_ids = add_time_ids
+
+        if self.do_classifier_free_guidance:
+            prompt_embeds = torch.cat([negative_prompt_embeds, prompt_embeds], dim=0)
+            add_text_embeds = torch.cat([negative_pooled_prompt_embeds, add_text_embeds], dim=0)
+            add_time_ids = torch.cat([negative_add_time_ids, add_time_ids], dim=0)
+
+        prompt_embeds = prompt_embeds.to(device)
+        add_text_embeds = add_text_embeds.to(device)
+        add_time_ids = add_time_ids.to(device).repeat(batch_size * num_images_per_prompt, 1)
+
+        if ip_adapter_emb is not None:
+            image_embeds = ip_adapter_emb
+
+        elif ip_adapter_image is not None:
+            output_hidden_state = False if isinstance(self.unet.encoder_hid_proj, ImageProjection) else True
+            image_embeds, negative_image_embeds = self.encode_image(
+                ip_adapter_image, device, num_images_per_prompt, output_hidden_state
+            )
+            if self.do_classifier_free_guidance:
+                image_embeds = torch.cat([negative_image_embeds, image_embeds])
+
+        # 8. Denoising loop
+        num_warmup_steps = max(len(timesteps) - num_inference_steps * self.scheduler.order, 0)
+
+        # 8.1 Apply denoising_end
+        if (
+            self.denoising_end is not None
+            and isinstance(self.denoising_end, float)
+            and self.denoising_end > 0
+            and self.denoising_end < 1
+        ):
+            discrete_timestep_cutoff = int(
+                round(
+                    self.scheduler.config.num_train_timesteps
+                    - (self.denoising_end * self.scheduler.config.num_train_timesteps)
+                )
+            )
+            num_inference_steps = len(list(filter(lambda ts: ts >= discrete_timestep_cutoff, timesteps)))
+            timesteps = timesteps[:num_inference_steps]
+
+        # 9. Optionally get Guidance Scale Embedding
+        timestep_cond = None
+        if self.unet.config.time_cond_proj_dim is not None:
+            guidance_scale_tensor = torch.tensor(self.guidance_scale - 1).repeat(batch_size * num_images_per_prompt)
+            timestep_cond = self.get_guidance_scale_embedding(
+                guidance_scale_tensor, embedding_dim=self.unet.config.time_cond_proj_dim
+            ).to(device=device, dtype=latents.dtype)
+
+        self._num_timesteps = len(timesteps)
+        with self.progress_bar(total=num_inference_steps) as progress_bar:
+            for i, t in enumerate(timesteps):
+                if self.interrupt:
+                    continue
+
+                # expand the latents if we are doing classifier free guidance
+                latent_model_input = torch.cat([latents] * 2) if self.do_classifier_free_guidance else latents
+
+                latent_model_input = self.scheduler.scale_model_input(latent_model_input, t)
+
+                # predict the noise residual
+                added_cond_kwargs = {"text_embeds": add_text_embeds, "time_ids": add_time_ids}
+                if ip_adapter_image is not None or ip_adapter_emb is not None:
+                    added_cond_kwargs["image_embeds"] = image_embeds
+                noise_pred = self.unet(
+                    latent_model_input,
+                    t,
+                    encoder_hidden_states=prompt_embeds,
+                    timestep_cond=timestep_cond,
+                    cross_attention_kwargs=self.cross_attention_kwargs,
+                    added_cond_kwargs=added_cond_kwargs,
+                    return_dict=False,
+                )[0]
+
+                # perform guidance
+                if self.do_classifier_free_guidance:
+                    noise_pred_uncond, noise_pred_text = noise_pred.chunk(2)
+                    noise_pred = noise_pred_uncond + self.guidance_scale * (noise_pred_text - noise_pred_uncond)
+
+                if self.do_classifier_free_guidance and self.guidance_rescale > 0.0:
+                    # Based on 3.4. in https://arxiv.org/pdf/2305.08891.pdf
+                    noise_pred = rescale_noise_cfg(noise_pred, noise_pred_text, guidance_rescale=self.guidance_rescale)
+
+                # compute the previous noisy sample x_t -> x_t-1
+                latents = self.scheduler.step(noise_pred, t, latents, **extra_step_kwargs, return_dict=False)[0]
+
+                if callback_on_step_end is not None:
+                    callback_kwargs = {}
+                    for k in callback_on_step_end_tensor_inputs:
+                        callback_kwargs[k] = locals()[k]
+                    callback_outputs = callback_on_step_end(self, i, t, callback_kwargs)
+
+                    latents = callback_outputs.pop("latents", latents)
+                    prompt_embeds = callback_outputs.pop("prompt_embeds", prompt_embeds)
+                    negative_prompt_embeds = callback_outputs.pop("negative_prompt_embeds", negative_prompt_embeds)
+                    add_text_embeds = callback_outputs.pop("add_text_embeds", add_text_embeds)
+                    negative_pooled_prompt_embeds = callback_outputs.pop(
+                        "negative_pooled_prompt_embeds", negative_pooled_prompt_embeds
+                    )
+                    add_time_ids = callback_outputs.pop("add_time_ids", add_time_ids)
+                    negative_add_time_ids = callback_outputs.pop("negative_add_time_ids", negative_add_time_ids)
+
+                # call the callback, if provided
+                if i == len(timesteps) - 1 or ((i + 1) > num_warmup_steps and (i + 1) % self.scheduler.order == 0):
+                    progress_bar.update()
+                    if callback is not None and i % callback_steps == 0:
+                        step_idx = i // getattr(self.scheduler, "order", 1)
+                        callback(step_idx, t, latents)
+
+                # if XLA_AVAILABLE:
+                #     xm.mark_step()
+
+        if not output_type == "latent":
+            # make sure the VAE is in float32 mode, as it overflows in float16
+            needs_upcasting = self.vae.dtype == torch.float16 and self.vae.config.force_upcast
+
+            if needs_upcasting:
+                self.upcast_vae()
+                latents = latents.to(next(iter(self.vae.post_quant_conv.parameters())).dtype)
+
+            image = self.vae.decode(latents / self.vae.config.scaling_factor, return_dict=False)[0]
+
+            # cast back to fp16 if needed
+            if needs_upcasting:
+                self.vae.to(dtype=torch.float16)
+        else:
+            image = latents
+
+        if not output_type == "latent":
+            # apply watermark if available
+            if self.watermark is not None:
+                image = self.watermark.apply_watermark(image)
+            image = self.image_processor.postprocess(image, output_type=output_type)
+        #maybe_nsfw = any(check_nsfw_images(image))
+        #if maybe_nsfw:
+        #    print('This image could be NSFW so we return a blank image.')
+        #    return StableDiffusionXLPipelineOutput(images=[Image.new('RGB', (1024, 1024))])
+
+        # Offload all models
+        self.maybe_free_model_hooks()
+
+        if not return_dict:
+            return (image,)
+
+        return StableDiffusionXLPipelineOutput(images=image)

requirements.txt

@@ -3,15 +3,8 @@ numpy
 scikit-learn
 pandas
 torch
-torchvision
 numpy
-matplotlib
 diffusers
 accelerate
 transformers
-sentencepiece
-peft
-imageio
-apscheduler
-pandas
-av
+peft

safety_checker_improved.py

@@ -1,46 +0,0 @@
-
-# TODO required tensorflow==2.14 for me
-# weights from https://github.com/LAION-AI/safety-pipeline/tree/main
-from PIL import Image
-import tensorflow_hub as hub
-import tensorflow
-import numpy as np
-import sys
-sys.path.append('/home/ryn_mote/Misc/generative_recommender/gradio_video/automl/efficientnetv2/')
-import tensorflow as tf
-from tensorflow.keras import mixed_precision
-
-physical_devices = tf.config.list_physical_devices('GPU')
-if len(physical_devices) > 0:
-    tf.config.experimental.set_memory_growth(
-        physical_devices[0], True
-    )
-
-model = tf.keras.models.load_model('nsfweffnetv2-b02-3epochs.h5',custom_objects={"KerasLayer":hub.KerasLayer})
-# "The image classifier had been trained on 682550 images from the 5 classes "Drawing" (39026), "Hentai" (28134), "Neutral" (369507), "Porn" (207969) & "Sexy" (37914).
-# ... we created a manually inspected test set that consists of 4900 samples, that contains images & their captions."
-
-# Run prediction
-def maybe_nsfw(pil_image):
-    # Run prediction
-    imm = tensorflow.image.resize(np.array(pil_image)[:, :, :3], (260, 260))
-    imm = (imm / 255)
-    pred = model(tensorflow.expand_dims(imm, 0)).numpy()
-    probs = tensorflow.math.softmax(pred[0]).numpy()
-    print(probs)
-    if all([i < .3 for i in probs[[1, 3, 4]]]):
-        return False
-    return True
-
-# pre-initializing prediction
-maybe_nsfw(Image. new("RGB", (260, 260), 255))
-model.load_weights('nsfweffnetv2-b02-3epochs.h5', by_name=True, )
-
-
-
-
-
-
-
-
-

twitter_prompts.csv

@@ -1,47 +1,2088 @@
 ,0
-0,a sunset
-1,a still life in blue
-2,last day on earth
-3,the conch shell
-4,the winds of change
-5,a surrealist eye
-6,a surrealist polaroid photo of an apple
-7,metaphysics
-8,the sun is setting into my glass of tea
-9,the moon at 3am
-10,a memento mori
-11,quaking aspen tree
-12,violets and daffodils
-13,espresso
-14,sisyphus
-15,high windows of stained glass
-16,a green dog
-17,an adorable companion; it is a pig
-18,bird of paradise
-19,a complex intricate machine
-20,a white clock
-21,a film featuring the landscape Salt Lake City Utah
-22,a creature
-23,a house set aflame.
-24,a gorgeous landscape by Cy Twombly
-25,smoke rises from the caterpillar's hookah
-26,corvid in red
-27,Monet's pond
-28,Genesis
-29,Death is a black camel that kneels down so we can ride
-30,a cherry tree made of fractals
-29,the end of the sidewalk
-30,a polaroid photo of a bustling city of lights and sky scrapers
-31,The Fig Tree metaphor
-32,God killed Van Gogh.
-33,a cosmic entity alien with four eyes.
-34,a horse with 128 eyes.
-35,a being with an infinite set of eyes (it is omniscient)
-36,A sticky-note magnum opus featuring birds
-37,Moka Pot
-38,the moon is a sickle cell
-39,The Penultimate Supper
-40,Art
-41,surrealism
-42,a god made of wires & dust
-43,a dandelion blown into the universe
+0,Persephone
+1,"A portrait: man, whose lineage is corpse."
+2,a beautiful Waluigi
+3,president abe lincoln but a cat
+4,a woman and a crow
+5,"A professional, minimalist poster for the book The Old Man and the Sea"
+6,"half Ryan, half pigeon"
+7,Easter cat
+8,a beautiful woman
+9,a cherry tree made of fractals
+10,a christmas card from the victorian era
+11,The Theotokos is a bird
+12,
+13,A short life full of immense joy
+14,a character from a ghibli movie
+15,A structure made of people standing on top of other people
+16,зеленая собака
+17,a painting of the city
+18,a character from a ghibli movie
+19,pasta ömetabolism
+20,"a brilliant sketch titled ""Let Forever be Delayed"""
+21,the sun is shining on the lake
+22,Monet Lisa
+23,Genesis
+24,Synesthesia
+25,A dead man
+26,a cherry tree made of fractals
+27,enough
+28,The First Supper
+29,"i'm never gonna lose the desire to be loved. ""Oh the pain!! The pain! The agony!"""
+30,a painting of the last day
+31,Dead Codes by Ryan Murdock
+32,Genesis
+33,symmetry
+34,The OLD DATA
+35,a beautiful person
+36,the whitest man
+37,Death is a black camel that kneels down so we can ride
+38,a goblin by van gogh
+39,a portrait of a beautiful person
+40,a famous painted portrait of Lady Macbeth
+41,on the edge of grace
+42,"""A God Made of Wires and Dust"" by Ryan Murdock"
+43,symmetry
+44,a beautiful person
+45,"If we're not careful, it's only art about not-quite-dead pigs from now on."
+46,Beauty here -- a photograph by Ryan Murdock
+47,Hunger art by r.j. Murdock
+48,"A professional, minimalist poster for the film Donnie Darko"
+49,A black and white photo of a rainbow.
+50,a beautiful painting
+51,Monet Lisa
+52,a painting of the city
+53,A structure made of people standing on top of other people
+54,a criminal
+55,a cherry tree made of fractals
+56,Persephone flees Hades
+57,a tree with weaping branches
+58,a tree with weaping branches
+59,Genesis
+60,"Elvis holding a rabbit. A detailed, high-quality photo without distortions"
+61,a cute cat
+62,Aflame
+63,A cat wearing a tophat
+64,a terrifying night hag
+65,a beautiful woman
+66,Fire
+67,a cherry tree made of fractals
+68,The EcoCathedral
+69,a man on fire
+70,A structure made of people standing on top of other people
+71,totemic dusk
+72,The Death of Achilles
+73,Everywhere is no-place
+74,"Elvis holding a rabbit. A detailed, high-quality photo without distortions"
+75,An Arundel Tomb
+76,The average Advadnoun twitter follower
+77,I can read when there's writing on the wall
+78,
+79,A Tragedy
+80,Breathe deep the fumes at Delphi
+81,a pOrTRaIT Of tHe SpOngeBOb CHicKen
+82,a portrait of a beautiful person
+83,a beautiful person
+84,a portrait of a beautiful person
+85,Dead Codes by Ryan Murdock
+86,a photo of a purple dog
+87,Memento Mori
+88,"joy, happiness, bliss"
+89,Paradise Lost
+90,a beautiful person
+91,melancholia
+92,Monet Lisa
+93,"Of that which one cannot speak, one must be silent."
+94,
+95,Juliet
+96,God killed Van Gogh.
+97,a cherry tree made of fractals
+98,a horse with four eyes.
+99,a beautiful person
+100,With the Gods in envy of their visions
+101,The Lost Generation
+102,"Elvis holding a rabbit. A detailed, high-quality photo without distortions"
+103,a portrait of a beautiful person
+104,"half Ryan, half pigeon"
+105,a ginormous baby
+106,a wormhole
+107,Ophelia
+108,"""The hunger artist, full"" by Ryan Murdock"
+109,I will meet you in a field firmly set within wrong.nnBy Ryan Murdock
+110,"Intricate, Weeping Tree by Ryan Murdock"
+111,everything was beautiful and nothing hurt
+112,Saturn being a good dad to his son
+113,The years gild our memoriesnUnfairly.
+114,Intimations of Immortality
+115,meaningless neko ♡♡ neko
+116,chiaroscuro
+117,The Patron Saint of Evil
+118,a portrait of a beautiful person
+119,"Mephisto, shrouded in smoke"
+120,everything was beautiful and nothing hurt
+121,God killed Van Gogh.
+122,a man wearing makeup
+123,Everywhere is no-place
+124,🔴~__��'t �
+125,a beautiful waluigi
+126,a beautiful woman
+127,a portrait of a beautiful person
+128,/
+129,a green doG
+130,Dead Codes by Ryan Murdock
+131,I miss the Spring
+132,
+133,"a person with 2 eyes, one mouth, one nose, and no extra holes!"
+134,a woman and a crow
+135,a photo from {my hometown}
+136,Summer's Symphony: Counterpoint and Melody
+137,a cute cat
+138,"God, it's amazing."
+139,a painting of a sycamore in
+140,distinguished leaves decorated
+141,I do not think they'll sing for me
+142,the monet lisa
+143,a portrait of Abraham Lincoln
+144,The average Advadnoun twitter follower
+145,Dancing in the moonlight
+146,Shinji Ikari
+147,snazzy snazzy myspace cosplaying undergrad lookin cosplaying jared
+148,/
+149,is this loss? but it's van gogh
+150,Shinji Ikari
+151,a portrait of Juliet
+152,A sticky-note magnum opus featuring birds
+153,a silent palace
+154,"""A new hope blooms on the long notes of old horns."""
+155,The things I'll take with me
+156,is this loss? but it's van gogh
+157,a beautiful haunting
+158,Summer's Symphony: Counterpoint and Melody
+159,зеленая собака
+160,Last Breath
+161,Last Breath
+162,a cherry tree made of fractals
+163,The Theotokos is a bird
+164,a man holding an apple in one hand
+165,a beautiful person
+166,Monet Lisa
+167,A baroque portrait of Hamlet
+168,A gun killed Van Gogh.
+169,totemic dusk
+170,a portrait of a beautiful person
+171,pasta ömetabolism
+172,a beautiful person
+173,Taylor Swift
+174,colorful rabbits chandelier polaroid
+175,Dancing in the moonlight
+176,I will meet you in a field firmly set within wrong.nnBy Ryan Murdock
+177,symmetry
+178,"""Your mind flls in the gaps"" - by Ryan Murdock"
+179,the moon is a sickle cell
+180,"joy, happiness, bliss"
+181,Beauty here -- a photograph by Ryan Murdock
+182,a beautiful person
+183,a photo of a purple dog
+184,A propaganda poster promoting big chungus
+185,a beautiful person
+186,a tree with weaping branches
+187,A gun killed Van Gogh.
+188,"""A new hope blooms on the long notes of old horns."""
+189,a portrait of Abe Lincoln
+190,"""I love you more than the world can contain in its lonely and ramshackle head."""
+191,a character from a ghibli movie
+192,f*** it market standard rule language – distinguish np tax science research
+193,a portrait of Abe Lincoln
+194,a wholesome clown. Not creepy at all
+195,
+196,a corgi
+197,Easter cat
+198,a portrait of Abraham Lincoln
+199,a person's face
+200,A poster advertising Freudian Psychoanalytics
+201,Dancing in the moonlight
+202,Cat in a teacup
+203,a beautiful person
+204,Summer's Symphony: Counterpoint and Melody
+205,Post-Modern Nouveaux Statue
+206,a famous painted portrait of Lady Macbeth
+207,photosynthesis
+208,a photo of a purple dog
+209,
+210,a photo of Juliet
+211,The Starry Night
+212,Saturn being a good dad to his son
+213,a beautiful person
+214,In smoke and mould the fleshless dead
+215,totemic dusk
+216,a beautiful woman
+217,God killed Van Gogh.
+218,is this loss? but it's van gogh
+219,Nostos
+220,a silent palace
+221,"""The hunger artist, full"" by Ryan Murdock"
+222,a green doG
+223,Weeping Roses
+224,for sale: baby shoes; never worn
+225,a dog eating a cheese burger
+226,a man inside a cage
+227,Contentment at the Disco
+228,a photo from {my hometown}
+229,The EcoCathedral
+230,The OLD DATA
+231,treehouse in the style of studio ghibli animation
+232,
+233,"""The hunger artist, full"" by Ryan Murdock"
+234,
+235,Everywhere is no-place
+236,"A portrait: man, whose lineage is corpse."
+237,Last Breath
+238,A propaganda poster promoting big chungus
+239,зеленая собака
+240,a beautiful person
+241,Memento Mori
+242,A propaganda poster promoting big chungus
+243,is this loss?
+244,a tree with weaping branches
+245,Nostos
+246,Beauty here -- a photograph by Ryan Murdock
+247,a tiny church inside an eyeball
+248,
+249,a cherry tree made of fractals
+250,"joy, happiness, bliss"
+251,The First Supper
+252,"Elvis holding a rabbit. A detailed, high-quality photo without distortions"
+253,🔴~__��'t �
+254,Dancing in the moonlight
+255,Mona Lisa
+256,"God, it's amazing."
+257,a man holding an apple in one hand
+258,Some stolen Gods take up the reigns of darkness.
+259,🔴~__��'t �
+260,Figure 5: a corgi
+261,a photo from {my hometown}
+262,Anxiety: the one emotion that does not lie
+263,In the temple of God
+264,
+265,Metaphysics
+266,a beautiful woman
+267,a beautiful woman
+268,a surrealist eye
+269,the massive hope nof early iterations
+270,Ophelia
+271,a minimalist painting that you wouldn't understand
+272,Aflame
+273,a christmas card from the victorian era
+274,Dancing in the moonlight
+275,/
+276,"Mephisto, shrouded in smoke"
+277,a beautiful woman
+278,зеленая собака
+279,Easter cat
+280,The Oracle leans forward to say: beware the ides of March
+281,a portrait of a beautiful person
+282,Persephone
+283,a portrait of Abraham Lincoln
+284,the moon is a sickle cell
+285,symmetry
+286,Monet Lisa
+287,Saturn being a good dad to his son
+288,The Monet Lisa
+289,I sold my soul at the crossroads
+290,a beautiful person
+291,A poster advertising Freudian Psychoanalytics
+292,Cat in a teacup
+293,a silent palace
+294,
+295,a beautiful person
+296,
+297,
+298,Super Mario World but every character is Luigi
+299,chiaroscuro
+300,A dead man
+301,pasta ömetabolism
+302,A vanitas still life that features twitter follower counts
+303,slightly mild cosplaying pseudo beard
+304,Monet Lisa
+305,Mona Lisa
+306,handsome commemorative garden pigeon
+307,pasta ömetabolism
+308,"""The hunger artist, full"" by Ryan Murdock"
+309,a gorgeous bouquet with roses and sunflowers
+310,is this loss? but it's van gogh
+311,Memorial
+312,a forest filled with moonlight
+313,Post-Modern Nouveaux Statue
+314,she sings opera
+315,"God closes a door, boards up stained-glass windows."
+316,a dog wearing a suit playing tennis
+317,Intimations of Immortality
+318,
+319,turnt brony undergrad dwight
+320,a famous painted portrait of Lady Macbeth
+321,a cherry tree made of fractals
+322,Weeping Roses
+323,pasta ömetabolism
+324,
+325,
+326,"A portrait: man, whose lineage is corpse."
+327,The average Advadnoun twitter follower
+328,the moon is a sickle cell
+329,A black and white photo of a rainbow.
+330,God killed Van Gogh.
+331,turnt brony undergrad dwight
+332,"a brilliant sketch titled ""Let Forever be Delayed"""
+333,handsome commemorative garden pigeon
+334,a painting of a sycamore in
+335,a professional photo of a cat wearing a party hat
+336,Persephone
+337,Taylor Swift
+338,Homer Simpson
+339,using generated paint
+340,A black and white photo of a rainbow.
+341,meaningless neko ♡♡ neko
+342,is this loss? but it's van gogh
+343,Is this loss?
+344,a man from an anime
+345,the massive hope nof early iterations
+346,a beautiful woman
+347,Post-Modern Nouveaux Statue
+348,photosynthesis
+349,a cherry tree made of fractals
+350,a minimalist painting that you wouldn't understand
+351,a corgi
+352,handsome commemorative garden pigeon
+353,The OLD DATA
+354,cowboy with a trumpet
+355,A short life full of immense joy
+356,a beautiful woman
+357,The end of nothing is eroding. A watercolor by K.
+358,''
+359,symmetry
+360,a portrait of Abraham Lincoln
+361,Last Breath
+362,the eternal dread of lemongrab
+363,vangogh # landscape
+364,a cherry tree made of fractals
+365,The Devil Whispers blood
+366,a silent palace
+367,Paradise Lost
+368,Monet Lisa
+369,Everywhere is no-place
+370,Taylor Swift
+371,"r.j. Murdock's ""The Death of a Hacker"""
+372,a portrait of Abraham Lincoln
+373,I know the end
+374,Persephone
+375,A poster advertising Freudian Psychoanalytics
+376,a beautiful woman
+377,A black and white photo of a rainbow.
+378,the whitest man
+379,the eternal dread of lemongrab
+380,a drawing by an AI
+381,🔴~__��'t �
+382,We haunt the synapses
+383,frogs in the style of Ralph Steadman
+384,a beautiful haunting
+385,photosynthesis
+386,a character from a ghibli movie
+387,A structure made of people standing on top of other people
+388,Intimations of Immortality
+389,a jukebox powered by smoke
+390,beautiful art
+391,In the temple of God
+392,Intimations of Immortality
+393,a beautiful painting
+394,A gun killed Van Gogh.
+395,a man with no eyes
+396,a famous painted portrait of Lady Macbeth
+397,a tasteful haunting
+398,a jukebox powered by smoke
+399,a portrait of Juliet
+400,The Patron Saint of Evil
+401,a beautiful Waluigi
+402,a gilded lily
+403,
+404,Kierkegaard on the edge
+405,a beautiful person
+406,Just west of Alpha Centauri
+407,a horse with four eyes.
+408,Good grief
+409,a portrait of a beautiful person
+410,Aflame
+411,a man wearing makeup
+412,a portrait of Abraham Lincoln
+413,a corgi
+414,I do not think they'll sing for me
+415,Intimations of Immortality
+416,A poster serving as a memento mori
+417,Psychology
+418,A gun killed Van Gogh.
+419,"a brilliant sketch titled ""Let Forever be Delayed"""
+420,using generated paint
+421,pasta ömetabolism
+422,a summer day
+423,a gilded lily
+424,a cute cat
+425,on the edge of grace
+426,Art is growing.
+427,Spiderman delivering a pizza
+428,the intersection of art and technology
+429,"""The hunger artist, full"" by Ryan Murdock"
+430,a tarot card
+431,an omen
+432,slightly mild cosplaying pseudo beard
+433,meaningless neko ♡♡ neko
+434,intricate nothing
+435,symmetry
+436,I have no idea what anything in this image is
+437,a photo from {my hometown}
+438,a sad man
+439,face like an M.C. Escher drawing n(you could get lost in its beauty)
+440,A E S T H E T I C ?
+441,totemic dusk
+442,Nostos
+443,"i'm never gonna lose the desire to be loved. ""Oh the pain!! The pain! The agony!"""
+444,a silent palace
+445,a beautiful painting
+446,"half Ryan, half pigeon"
+447,Weeping Roses
+448,a broken heart
+449,a portrait of Juliet
+450,a painting of the last day
+451,"a brilliant sketch titled ""Let Forever be Delayed"""
+452,a beautiful person
+453,"""The hunger artist, full"" by Ryan Murdock"
+454,a horse with four eyes.
+455,a photo of a purple dog
+456,a summoning
+457,Redacted ████████
+458,a ginormous baby
+459,On the edge of endless darkness
+460,The Fates knit such delicate nooses for us to bind
+461,Theotokos of Milk
+462,A minimalistic still life of a cat sitting on a table
+463,Dancing in the moonlight
+464,a minimalist painting that you wouldn't understand
+465,a beautiful woman
+466,totemic dusk
+467,"Ryan Murdock's ""God haunts the suburbs"""
+468,Dancing in the moonlight
+469,a beautiful woman
+470,a city in Van Gogh's style
+471,"""The hunger artist, full"" by Ryan Murdock"
+472,a person's face
+473,a portrait of <name>
+474,Dancing in the moonlight
+475,a portrait of Persephone
+476,a minimalist painting that you wouldn't understand
+477,a portrait of Abraham Lincoln
+478,Synesthesia
+479,a cute corgi
+480,a portrait of advadnoun
+481,a green doG
+482,a man with no eyes
+483,a cherry tree made of fractals
+484,a ginormous baby
+485,
+486,turnt brony undergrad dwight
+487,"God, it's amazing."
+488,"""The hunger artist, full"" by Ryan Murdock"
+489,We haunt the synapses
+490,God's Eyes are Wired Shut
+491,a famous painted portrait of Lady Macbeth
+492,Juliet
+493,a character from a ghibli movie
+494,the whitest man
+495,a horse with four eyes.
+496,a photo of a purple dog
+497,a beautiful person
+498,The Patron Saint of Hackers
+499,Dead Codes by Ryan Murdock
+500,something trite
+501,beautiful art
+502,
+503,the monet lisa
+504,a cute cat
+505,👉  👈
+506,A propaganda poster promoting big chungus
+507,a beautiful person
+508,a portrait of advadnoun
+509,a cherry tree made of fractals
+510,"It's a meme, I guess"
+511,a person's face
+512,A baroque portrait of Hamlet
+513,a city in Van Gogh's style
+514,"""The hunger artist, full"" by Ryan Murdock"
+515,a man with no eyes
+516,a minimalist painting that you wouldn't understand
+517,pathoarthistory evankirstel sleep depend npainter ☼ nightmare comprehend
+518,"joy, happiness, bliss"
+519,
+520,"a brilliant sketch titled ""Let Forever be Delayed"""
+521,Last Breath
+522,On the edge of endless darkness
+523,a photo of Juliet
+524,Summer's Symphony: Counterpoint and Melody
+525,Persephone
+526,a green doG
+527,symmetry
+528,"Elvis holding a rabbit. A detailed, high-quality photo without distortions"
+529,The Starry Night
+530,Genesis
+531,bootleg edgy casual assange
+532,Memento Mori
+533,meaningless neko ♡♡ neko
+534,totemic dusk
+535,Aflame
+536,"""Here lies Ryan Murdock"" -- a memorial with the date and cause of departure."
+537,"""The hunger artist, full"" by Ryan Murdock"
+538,f*** you
+539,a tree with leaves that are amarillo sightseeing thetic
+540,a painting of the last day
+541,"God, it's amazing."
+542,Paradise Lost
+543,a gilded lily
+544,Aflame
+545,a portrait of <name>
+546,a painting that couldn't be sold
+547,a man holding an apple in one hand
+548,"A clock with gorgeous, intricate gradients on it"
+549,a goblin by van gogh
+550,"a person with 2 eyes, one mouth, one nose, and no extra holes!"
+551,A vanitas still life that features twitter follower counts
+552,the whitest man
+553,"""The hunger artist, full"" by Ryan Murdock"
+554,is this loss? but it's van gogh
+555,Synesthesia
+556,Aflame
+557,a cherry tree made of fractals
+558,A propaganda poster for daring to eat a peach.
+559,A vanitas still life that features twitter follower counts
+560,the moon is a sickle cell
+561,The Lost Generation
+562,the eternal dread of lemongrab
+563,The First Supper
+564,a character from a ghibli movie
+565,a man on fire
+566,symmetry
+567,pasta ömetabolism
+568,a horse with four eyes.
+569,Metaphysics
+570,Synesthesia
+571,The Fates knit such delicate nooses for us to bind
+572,Knowledge of Good and Evil
+573,meaningless neko ♡♡ neko
+574,A Tragedy
+575,
+576,a drawing by an AI
+577,The Fool tarot card but it's The Lovers
+578,a beautiful person
+579,a silent palace
+580,an omen
+581,"A portrait: man, whose lineage is corpse."
+582,Dancing in the moonlight
+583,a gilded lily
+584,turnt brony undergrad dwight
+585,"a person with 2 eyes, one mouth, one nose, and no extra holes!"
+586,totemic dusk
+587,Monet Lisa
+588,fatal skull prose visits bend ntuscan painting underthecomprehend
+589,Monet Lisa
+590,Aflame
+591,an intricate painting Of Eternity by Ryan Murdock
+592,"Intricate, Weeping Tree by Ryan Murdock"
+593,Summer's Symphony: Counterpoint and Melody
+594,Monet Lisa
+595,Last Breath
+596,is this loss? but it's van gogh
+597,"half Ryan, half pigeon"
+598,"God closes a door, boards up the stained-glass windows. nnGod hides."
+599,Everything was beautiful and nothing hurt
+600,"r.j. Murdock's ""The Death of a Hacker"""
+601,"Elvis holding a rabbit. A detailed, high-quality photo without distortions"
+602,meaningless neko ♡♡ neko
+603,twilight
+604,the sun is shining on the lake
+605,a portrait of a beautiful person
+606,the sun is shining on the lake
+607,
+608,a portrait of Abe Lincoln
+609,A gun killed Van Gogh.
+610,a photo from {my hometown}
+611,The Fool tarot card but it's The Lovers
+612,A structure made of people standing on top of other people
+613,"God closes a door, boards up the stained-glass windows. nnGod hides."
+614,an old man
+615,a beautiful waluigi
+616,is this loss? but it's van gogh
+617,a man standing alone in a wheat field
+618,Aflame
+619,Synesthesia
+620,
+621,Intimations of Immortality
+622,The First Supper
+623,"God, it's amazing."
+624,Persephone
+625,"r.j. Murdock's ""The Death of a Hacker"""
+626,God's Eyes are Wired Shut
+627,Do you remember the mythic beast?nA last-minute cancellation at The Last Supper
+628,f*** it market standard rule language – distinguish np tax science research
+629,totemic dusk
+630,Cat in a teacup
+631,frogs in the style of Ralph Steadman
+632,a beautiful person
+633,The Starry Night
+634,Juliet
+635,turnt brony undergrad dwight
+636,
+637,There is something so interesting about a bleeding edge full of dust.
+638,On the edge of endless darkness
+639,The warrior Achilles devours slain Hector's corpse -- an ink poster by Ryan Murdock
+640,turnt brony undergrad dwight
+641,Intimations of Immortality
+642,a portrait of Abraham Lincoln
+643,a man wearing makeup
+644,a sketch of the mind of god
+645,a man on fire
+646,a portrait of Abraham Lincoln
+647,
+648,The ancient Θωερτυ keyboard of brave Achilles
+649,goes thu extre— dum dum dizzy grimstupiddic ious mindidioirony merely experiment .
+650,"A group portrait featuring the id, ego, and superego"
+651,a photo from {my hometown}
+652,A structure made of people standing on top of other people
+653,a famous painted portrait of Lady Macbeth
+654,ogden
+655,pasta ömetabolism
+656,a tree with weaping branches
+657,photosynthesis
+658,handsome commemorative garden pigeon
+659,a photo of a purple dog
+660,"a brilliant sketch titled ""Let Forever be Delayed"""
+661,"i'm never gonna lose the desire to be loved. ""Oh the pain!! The pain! The agony!"""
+662,The Death of Achilles
+663,potus mormon lincoln rooster
+664,A black and white photo of a rainbow.
+665,a beautiful haunting
+666,"Elvis holding a rabbit. A detailed, high-quality photo without distortions"
+667,In the temple of God
+668,a beautiful person
+669,The Patron Saint of Mathematics
+670,a brilliant painting titled
+671,a gilded lily
+672,a tiny church inside an eyeball
+673,a portrait of Juliet
+674,A painting that sold for a million dollars
+675,the moon is a sickle cell
+676,photosynthesis
+677,The Theotokos is a bird
+678,the whitest man
+679,The Monet Lisa
+680,Beauty here -- a photograph by Ryan Murdock
+681,Breathe deep the fumes at Delphi
+682,the sun is shining on the lake
+683,photosynthesis
+684,The things I'll take with me
+685,a green doG
+686,a beautiful person
+687,The years gild our memoriesnUnfairly.
+688,The Lost Generation
+689,a beautiful person
+690,The average Advadnoun twitter follower
+691,a goblin by van gogh
+692,pathoarthistory evankirstel sleep depend npainter ☼ nightmare comprehend
+693,"A professional, minimalist poster for the book The Old Man and the Sea"
+694,
+695,Cat in a teacup
+696,a beautiful person
+697,beautiful art
+698,I sold my soul at the crossroads
+699,face like an M.C. Escher drawing n(you could get lost in its beauty)
+700,a gorgeous bouquet with roses and sunflowers
+701,a portrait of Abraham Lincoln
+702,Sisyphus
+703,a cute cat
+704,a portrait of <name>
+705,a minimalist painting that you wouldn't understand
+706,a photo of Bernie Sanders sitting on a chair and wearing mittens
+707,a woman and a crow
+708,a character from a ghibli movie
+709,a photo of a purple dog
+710,a dog eating a cheese burger
+711,Last Breath
+712,a sketch of the mind of god
+713,a steampunk technomancer
+714,We haunt the synapses
+715,using generated paint
+716,a cherry tree made of fractals
+717,Saturn being a good dad to his son
+718,oof deeplearning corgi corgi rendering
+719,
+720,Dancing in the moonlight
+721,A Tragedy
+722,A propaganda poster promoting big chungus
+723,A structure made of people standing on top of other people
+724,"A cute, minmimalist valentine's day card featuring a cat"
+725,a cute cat
+726,The skyscraper draws blood -- a landscape
+727,the monet lisa
+728,a photo of a person generating a painting of a person with AI
+729,"""A God Made of Wires and Dust"" by Ryan Murdock"
+730,Monet Lisa
+731,photosynthesis
+732,Hunger art by r.j. Murdock
+733,"""The hunger artist, full"" by Ryan Murdock"
+734,An Arundel Tomb
+735,twilight
+736,"r.j. Murdock's ""The Death of a Hacker"""
+737,living in a den of thieves
+738,"""A new hope blooms on the long notes of old horns."""
+739,"The laptop of brave Achaean Achilles, who would not live long."
+740,a minimalist painting that you wouldn't understand
+741,"Intricate, Weeping Tree by Ryan Murdock"
+742,The Fool
+743,a summoning
+744,pasta ömetabolism
+745,"a brilliant sketch titled ""Let Forever be Delayed"""
+746,a silent palace
+747,The average Advadnoun twitter follower
+748,f*** it market standard rule language – distinguish np tax science research
+749,Monet Lisa
+750,"a brilliant sketch titled ""Let Forever be Delayed"""
+751,meaningless neko ♡♡ neko
+752,"God, it's amazing."
+753,Nostos
+754,Shinji Ikari
+755,a beautiful woman
+756,The Starry Night
+757,hamont parkland avenue incumbscreenshotsaturday hemisphere footage algorithm
+758,a beautiful woman
+759,
+760,Summer always ending
+761,president abe lincoln but a cat
+762,🎷
+763,"Elvis holding a rabbit. A detailed, high-quality photo without distortions"
+764,a cherry tree made of fractals
+765,A painting that sold for one billion dollars
+766,a man standing alone in a wheat field
+767,symmetry
+768,a broken heart
+769,a silent palace
+770,A vanitas still life that features twitter follower counts
+771,"half Ryan, half pigeon"
+772,"a brilliant sketch titled ""Let Forever be Delayed"""
+773,slightly mild cosplaying pseudo beard
+774,a portrait of <name>
+775,God's Eyes are Wired Shut
+776,she sings opera
+777,a person's face
+778,a cherry tree made of fractals
+779,Dead Codes by Ryan Murdock
+780,Everywhere is no-place
+781,The First Supper
+782,Monet Lisa
+783,A short life full of immense joy
+784,Anxiety: the one emotion that does not lie
+785,Anxiety: the one emotion that does not lie
+786,symmetry
+787,a beautiful waluigi
+788,a goblin by van gogh
+789,"""A new hope blooms on the long notes of old horns."""
+790,Juliet
+791,The OLD DATA
+792,a beautiful woman
+793,The average Advadnoun twitter follower
+794,Synesthesia by Ryan Murdock
+795,Persephone flees Hades
+796,Last Breath
+797,a portrait of Persephone
+798,Homer Simpson
+799,totemic dusk
+800,a steampunk technomancer
+801,a portrait of Abraham Lincoln
+802,a cherry tree made of fractals
+803,bored of dying
+804,a famous painted portrait of Lady Macbeth
+805,a summer day
+806,A E S T H E T I C ?
+807,A vanitas still life that features twitter follower counts
+808,an illustration of a baby daikon radish in a tutu walking a dog
+809,Persephone
+810,pasta ömetabolism
+811,A vision of the Theotokos in my glass of coffee
+812,a dog.
+813,a photo of a person generating a painting of a person with AI
+814,🔴~__��'t �
+815,Intimations of Immortality
+816,snazzy snazzy myspace cosplaying undergrad lookin cosplaying jared
+817,A dead man
+818,The Oracle leans forward to say: beware the ides of March
+819,Monet Lisa
+820,a silent palace
+821,an intricate painting of eternity
+822,A propaganda poster for chunky cats.
+823,God killed Van Gogh.
+824,the eyes of God are wired shut
+825,Persephone
+826,symmetry
+827,Mona Lisa
+828,Saturn being a good dad to his son
+829,a technomancer
+830,
+831,a cherry tree made of fractals
+832,A cat wearing a tophat
+833,frogs in the style of Ralph Steadman
+834,a portrait of a beautiful person
+835,a green dog
+836,a portrait of Abraham Lincoln
+837,Hungry Dogs Will Devour in the Daytime
+838,a photo of a purple dog
+839,Cat in a teacup
+840,
+841,Nostos
+842,A baroque portrait of Hamlet
+843,Saturn being a good dad to his son
+844,Hell is Paradise
+845,a taste
+846,"God, it's amazing."
+847,Everywhere is no-place
+848,a minimalist painting that you wouldn't understand
+849,a tree with weaping branches
+850,a portrait of Elvis Presley
+851,a man standing alone in a wheat field
+852,Juliet
+853,I sold my soul at the crossroads
+854,a beautiful person
+855,photosynthesis
+856,
+857,"Mephisto, shrouded in smoke"
+858,playing Go with Death
+859,a painting of the last day
+860,totemic dusk
+861,Hell is Paradise
+862,a christmas card from the victorian era
+863,Good grief
+864,handsome commemorative garden pigeon
+865,a portrait of <name>
+866,a portrait of Abraham Lincoln
+867,she came in through the wall
+868,a sad man
+869,In the temple of God
+870,fuzzy pals hum
+871,a painting of a sycamore in
+872,a beautiful waluigi
+873,"a brilliant sketch titled ""Let Forever be Delayed"""
+874,a portrait of a beautiful person
+875,a portrait of Juliet
+876,MEMETIC HAZARD
+877,The years gild our memoriesnUnfairly.
+878,Mona Lisa
+879,pasta ömetabolism
+880,pasta ömetabolism
+881,bored of dying
+882,Cat in a teacup
+883,a cherry tree made of fractals
+884,an intricate drawing of eternity
+885,mammals
+886,a portrait of Persephone
+887,treehouse in the style of studio ghibli animation
+888,watching TV in purgatory
+889,The winds of change by Ryan Murdock
+890,a technomancer
+891,a portrait of Persephone
+892,Last Breath
+893,A minimalistic still life of a cat sitting on a table
+894,
+895,cult of prisms
+896,Aflame
+897,Cat in a teacup
+898,"God, it's amazing."
+899,a minimalist painting that you wouldn't understand
+900,a woman and a crow
+901,totemic dusk
+902,a city in Van Gogh's style
+903,A baroque portrait of Hamlet
+904,murdoch
+905,a silent palace
+906,Anxiety: the one emotion that does not lie
+907,a photo of a purple dog
+908,the moon is a sickle cell
+909,Tendrils of smoke curl around the caterpillar with a hookah
+910,president abe lincoln but a cat
+911,a beautiful woman
+912,handsome commemorative garden pigeon
+913,an intricate painting of eternity
+914,"God, it's amazing."
+915,Grippy socks; no drawstrings: high fashion
+916,The average Advadnoun twitter follower
+917,"Elvis holding a rabbit. A detailed, high-quality photo without distortions"
+918,a photo from {my hometown}
+919,MEMETIC HAZARD
+920,a portrait of Elvis Presley
+921,a woman and a crow
+922,Saturn being a good dad to his son
+923,beautiful art
+924,Shinji Ikari
+925,a portrait of <name>
+926,a photo of a purple dog
+927,Ophelia
+928,a dog wearing a suit playing tennis
+929,We haunt the synapses
+930,I do not think they'll sing for me
+931,Genesis
+932,a beautiful person
+933,"a brilliant sketch titled ""Let Forever be Delayed"""
+934,Metaphysics
+935,bored of dying
+936,treehouse in the style of studio ghibli animation
+937,
+938,photosynthesis
+939,A structure made of people standing on top of other people
+940,meaningless neko ♡♡ neko
+941,a photo of the sun melting into the ocean
+942,symmetry
+943,the moon is a sickle cell
+944,Dancing in the moonlight
+945,Last Breath
+946,I sold my soul at the crossroads
+947,a beautiful woman
+948,"God, it's amazing."
+949,Cat in a teacup
+950,a tree with weaping branches
+951,"God, it's amazing."
+952,Cat in a teacup
+953,"r.j. Murdock's ""The Death of a Hacker"""
+954,using generated paint
+955,fuzzy pals hum
+956,"A portrait: man, whose lineage is corpse."
+957,a ginormous baby
+958,a beautiful woman
+959,"half Ryan, half pigeon"
+960,when the wind blows
+961,a beautiful woman
+962,pasta ömetabolism
+963,a cherry tree made of fractals
+964,The Monet Lisa
+965,"""The hunger artist, full"" by Ryan Murdock"
+966,a portrait of advadnoun
+967,The Fool tarot card but it's The Lovers
+968,Persephone
+969,"Elvis holding a rabbit. A detailed, high-quality photo without distortions"
+970,an omen
+971,the eternal dread of lemongrab
+972,a man on fire
+973,Aflame
+974,"i'm never gonna lose the desire to be loved. ""Oh the pain!! The pain! The agony!"""
+975,twilight
+976,hamont parkland avenue incumbscreenshotsaturday hemisphere footage algorithm
+977,a silent palace
+978,a selfie
+979,the moon is a sickle cell
+980,a portrait of Abraham Lincoln
+981,a tree with weaping branches
+982,a tiny church inside an eyeball
+983,a portrait of a beautiful person
+984,Paradise Lost
+985,a horse with four eyes.
+986,president abe lincoln but a cat
+987,a summer day
+988,Anxiety: the one emotion that does not lie
+989,Saturn being a good dad to his son
+990,In the temple of God
+991,Redacted ████████
+992,Dr. Faustus and Mephisto
+993,a minimalist painting that you wouldn't understand
+994,a man standing alone in a wheat field
+995,a seance in the basement
+996,a portrait of <name>
+997,Aflame
+998,the moon is a sickle cell
+999,beautiful art
+1000,a man on fire
+1001,a tiny church inside an eyeball
+1002,totemic dusk
+1003,Persephone
+1004,piss indiefilm
+1005,a beautiful woman
+1006,The EcoCathedral
+1007,"joy, happiness, bliss"
+1008,Intimations of Immortality
+1009,the whitest man
+1010,a silent palace
+1011,
+1012,a woman and a crow
+1013,Memento Mori
+1014,Visions in envy of the gods
+1015,symmetry
+1016,A poster advertising Freudian Psychoanalytics
+1017,A propaganda poster promoting big chungus
+1018,With the Gods in envy of their visions
+1019,a cherry tree made of fractals
+1020,pasta ömetabolism
+1021,snazzy snazzy myspace cosplaying undergrad lookin cosplaying jared
+1022,a beautiful person
+1023,cowboy with a trumpet
+1024,a portrait of a beautiful person
+1025,The OLD DATA
+1026,f*** it market standard rule language – distinguish np tax science research
+1027,murdoch
+1028,Some stolen Gods take up the reigns of darkness.
+1029,a portrait of Juliet
+1030,a god
+1031,she sings opera
+1032,The First Supper
+1033,handsome commemorative garden pigeon
+1034,cult of prisms
+1035,Cat in a teacup
+1036,💨 👻 ☺ 🔮 🔺 ✊
+1037,a portrait of Abraham Lincoln
+1038,a corgi
+1039,a beautiful woman
+1040,a portrait of a beautiful person
+1041,Dead Codes by Ryan Murdock
+1042,totemic dusk
+1043,Juliet
+1044,a portrait of Elvis Presley
+1045,a criminal
+1046,Genesis where the universe was made
+1047,a portrait of <name>
+1048,turnt brony undergrad dwight
+1049,Cat in a teacup
+1050,a corgi
+1051,"Hamlet saying ""To be or not to be"""
+1052,a portrait of a beautiful person
+1053,A E S T H E T I C ?
+1054,Figure 5: a corgi
+1055,A gun killed Van Gogh.
+1056,Persephone flees Hades
+1057,a silent palace
+1058,pasta ömetabolism
+1059,a beautiful person
+1060,on the edge of grace
+1061,a portrait of Elvis Presley
+1062,Persephone
+1063,Tendrils of smoke curl around the caterpillar with a hookah
+1064,"half Ryan, half pigeon"
+1065,a sunflower
+1066,a beautiful person
+1067,a portrait of Juliet
+1068,A dead man
+1069,a character from a ghibli movie
+1070,a silent palace
+1071,a portrait of Elvis Presley
+1072,a portrait of advadnoun
+1073,A E S T H E T I C ?
+1074,зеленая собака
+1075,A baroque portrait of Hamlet
+1076,a man at the beach
+1077,Sisyphus
+1078,Good grief
+1079,"r.j. Murdock's ""The Death of a Hacker"""
+1080,a beautiful woman
+1081,🔴~__��'t �
+1082,a portrait of advadnoun
+1083,a painting of a sycamore in
+1084,president abe lincoln but a cat
+1085,The agony of time
+1086,God once loved a woman
+1087,pasta ömetabolism
+1088,Dead Codes by Ryan Murdock
+1089,
+1090,slightly mild cosplaying pseudo beard
+1091,Last Breath
+1092,The Oracle leans forward to say: beware the ides of March
+1093,The Devil Wears Khakis
+1094,"""The hunger artist, full"" by Ryan Murdock"
+1095,In the temple of God
+1096,a beautiful person
+1097,a man from an anime
+1098,She's gorgeous
+1099,A vanitas still life that features twitter follower counts
+1100,
+1101,the eternal dread of lemongrab
+1102,Advadnoun
+1103,a summer day
+1104,The Fool tarot card but it's The Lovers
+1105,I miss the Spring
+1106,an illustration of a baby daikon radish in a tutu walking a dog
+1107,The Oracle leans forward to say: beware the ides of March
+1108,Contentment at the Disco
+1109,The First Supper
+1110,Saturn being a good dad to his son
+1111,a beautiful woman
+1112,"Intricate, Weeping Tree by Ryan Murdock"
+1113,"a brilliant sketch titled ""Let Forever be Delayed"""
+1114,beautiful art
+1115,
+1116,a silent palace
+1117,a portrait of Juliet
+1118,A propaganda poster promoting big chungus
+1119,a portrait of a beautiful person
+1120,a portrait of Abraham Lincoln
+1121,
+1122,the whitest man
+1123,a portrait of Abe Lincoln
+1124,Monet Lisa
+1125,The Fool tarot card but it's The Lovers
+1126,a portrait of <name>
+1127,a portrait of Elvis Presley
+1128,Post-Modern Nouveaux Statue
+1129,a cherry tree made of fractals
+1130,f*** it market standard rule language – distinguish np tax science research
+1131,symmetry
+1132,pasta ömetabolism
+1133,a brilliant painting titled
+1134,The First Supper
+1135,a corgi
+1136,a beautiful person
+1137,a green doG
+1138,The OLD DATA
+1139,Ophelia
+1140,a portrait of Abraham Lincoln
+1141,incineratures motherhood
+1142,a green dog
+1143,a portrait of advadnoun
+1144,a sunflower
+1145,
+1146,a man from an anime
+1147,Beauty here -- a photograph by Ryan Murdock
+1148,slightly mild cosplaying pseudo beard
+1149,Nostos
+1150,pasta ömetabolism
+1151,a beautiful person
+1152,"half Ryan, half pigeon"
+1153,turnt brony undergrad dwight
+1154,beautiful art
+1155,a portrait of Persephone
+1156,A sticky-note magnum opus featuring birds
+1157,I sold my soul at the crossroads
+1158,"a brilliant sketch titled ""Let Forever be Delayed"""
+1159,A poster advertising Freudian Psychoanalytics
+1160,using generated paint
+1161,The OLD DATA
+1162,a horse with four eyes.
+1163,is this loss? but it's van gogh
+1164,a gorgeous bouquet with roses and sunflowers
+1165,Anxiety: the one emotion that does not lie
+1166,turnt brony undergrad dwight
+1167,The Lost Generation
+1168,Taylor Swift
+1169,The Lost Generation
+1170,a photo from {my hometown}
+1171,The OLD DATA
+1172,a portrait of <name>
+1173,a cherry tree made of fractals
+1174,an intricate sculpture of Death itself
+1175,
+1176,зеленая собака
+1177,a sunflower
+1178,angst
+1179,president abe lincoln but a cat
+1180,a beautiful person
+1181,The OLD DATA
+1182,"You shake the demons hand, and redo it all, again."
+1183,the latent space
+1184,Fire
+1185,a tree with weaping branches
+1186,treehouse in the style of studio ghibli animation
+1187,Good grief
+1188,a portrait of <name>
+1189,a wholesome clown. Not creepy at all
+1190,Theotokos of Milk
+1191,"God closes a door, boards up the stained-glass windows. nnGod hides."
+1192,I sold my soul at the crossroads
+1193,"Mephisto, shrouded in smoke"
+1194,A baroque portrait of Hamlet
+1195,a lamp
+1196,MEMETIC HAZARD
+1197,"""Your mind falls in the gaps"" - by Ryan Murdock"
+1198,cowboy with a trumpet
+1199,Aflame
+1200,A vanitas still life that features twitter follower counts
+1201,a beautiful person
+1202,Synesthesia
+1203,Is this loss?
+1204,Adverb working on Photoshop Neural Filters | Behance Art
+1205,Everything was beautiful and nothing hurt
+1206,Mona Lisa
+1207,A structure made of people standing on top of other people
+1208,"Intricate, Weeping Tree by Ryan Murdock"
+1209,the whitest man
+1210,The Fates knit such delicate nooses for us to bind
+1211,a tree with weaping branches
+1212,a beautiful person
+1213,Nostos
+1214,Post-Modern Nouveaux Statue
+1215,Genesis
+1216,totemic dusk
+1217,a dog.
+1218,photosynthesis
+1219,The average Advadnoun twitter follower
+1220,"""The hunger artist, full"" by Ryan Murdock"
+1221,a person's face
+1222,slightly mild cosplaying pseudo beard
+1223,a jukebox powered by smoke
+1224,Monet Lisa
+1225,Intimations of Immortality
+1226,a gorgeous bouquet with roses and sunflowers
+1227,face like an M.C. Escher drawing n(you could get lost in its beauty)
+1228,a photo of a purple dog
+1229,a tiny church inside an eyeball
+1230,Good grief
+1231,Last Breath
+1232,a beautiful waluigi
+1233,the moon is a sickle cell
+1234,pathoarthistory evankirstel sleep depend npainter ☼ nightmare comprehend
+1235,I sold my soul at the crossroads
+1236,Persephone
+1237,a portrait of Abraham Lincoln
+1238,a beautiful painting
+1239,Last Breath
+1240,a man on fire
+1241,"a brilliant sketch titled ""Let Forever be Delayed"""
+1242,A gun killed Van Gogh.
+1243,a sketch of the mind of god
+1244,Intimations of Immortality
+1245,Intimations of Immortality
+1246,turnt brony undergrad dwight
+1247,A sticky-note magnum opus featuring birds
+1248,Aflame
+1249,Grippy socks; no drawstrings: high fashion
+1250,👉  👈
+1251,Shrek the ogre
+1252,a beautiful woman
+1253,a portrait of Elvis Presley
+1254,president abe lincoln but a cat
+1255,Post-antiquity art
+1256,using generated paint
+1257,a dog eating a cheese burger
+1258,The average Advadnoun twitter follower
+1259,Monet Lisa
+1260,"A professional, minimalist poster for the book The Old Man and the Sea"
+1261,We haunt the synapses
+1262,Post-Modern Nouveaux Statue
+1263,a picture of Ryan Murdock
+1264,cowboy with a trumpet
+1265,colorful rabbits chandelier polaroid
+1266,a character from a ghibli movie
+1267,a goblin by van gogh
+1268,a beautiful painting
+1269,a photo of a purple dog
+1270,a portrait of Persephone
+1271,"Hamlet saying ""To be or not to be"""
+1272,Homer Simpson
+1273,a cute cat
+1274,turnt brony undergrad dwight
+1275,Intimations of Immortality
+1276,a man wearing makeup
+1277,They called you the hyacinth girl
+1278,snazzy snazzy myspace cosplaying undergrad lookin cosplaying jared
+1279,Cat in a teacup
+1280,Juliet
+1281,"""The wages of sin are generous"" by Ryan Murdock"
+1282,"Pig, neither dead nor alive, stare into the heart of light, the silence."
+1283,
+1284,a horse with four eyes.
+1285,Advadnoun
+1286,Last Breath
+1287,totemic dusk
+1288,The OLD DATA
+1289,"Elvis holding a rabbit. A detailed, high-quality photo without distortions"
+1290,a man holding an apple in one hand
+1291,a beautiful woman
+1292,melancholia
+1293,Shinji Ikari
+1294,a gorgeous bouquet with roses and sunflowers
+1295,a portrait of advadnoun
+1296,a known
+1297,Genesis
+1298,In smoke and mould the fleshless dead
+1299,The average Advadnoun twitter follower
+1300,a cute cat
+1301,a painting of a sycamore in
+1302,a woman and a crow
+1303,Persephone
+1304,
+1305,using generated paint
+1306,"A cute, minmimalist valentine's day card featuring a cat"
+1307,a painting that couldn't be sold
+1308,bored of dying
+1309,pasta ömetabolism
+1310,Dancing in the moonlight
+1311,a beautiful woman
+1312,Dr. Faustus and Mephisto
+1313,"joy, happiness, bliss"
+1314,a photo from {my hometown}
+1315,a wholesome clown. Not creepy at all
+1316,a portrait of Elvis Presley
+1317,a cherry tree made of fractals
+1318,a man standing alone in a wheat field
+1319,Dancing in the moonlight
+1320,Hunger art by Ryan Murdock
+1321,a beautiful waluigi
+1322,A black and white photo of a rainbow.
+1323,totemic dusk
+1324,a beautiful person
+1325,
+1326,a beautiful woman
+1327,a horse with four eyes.
+1328,The Lost Generation
+1329,Death is a black camel that kneels down so we can ride
+1330,a ginormous baby
+1331,Dancing in the moonlight
+1332,an old man
+1333,a horse with four eyes.
+1334,a photo of a purple dog
+1335,pathoarthistory evankirstel sleep depend npainter ☼ nightmare comprehend
+1336,a silent palace
+1337,The OLD DATA
+1338,a tree with weaping branches
+1339,Creativity is only composition in disguise.
+1340,"r.j. Murdock's ""The Death of a Hacker"""
+1341,Persephone
+1342,president abe lincoln but a cat
+1343,There is something so interesting about a bleeding edge full of dust.
+1344,A poster advertising death by water
+1345,Persephone
+1346,Saturn being a good dad to his son
+1347,is this loss? but it's van gogh
+1348,Monet Lisa
+1349,fuzzy pals hum
+1350,"""The hunger artist, full"" by Ryan Murdock"
+1351,Shinji Ikari
+1352,a beautiful woman
+1353,"Son of man,nYou cannot say, or guess, for you know onlynA heap of broken images"
+1354,God once loved a woman
+1355,a horse with four eyes.
+1356,a cherry tree made of fractals
+1357,a beautiful haunting
+1358,I miss the Spring
+1359,gradient
+1360,a wormhole
+1361,a beautiful woman
+1362,president abe lincoln but a cat
+1363,handsome commemorative garden pigeon
+1364,Everywhere is no-place
+1365,"""It is beginning to end.""nby Ryan Murdock."
+1366,she sings opera
+1367,a jukebox powered by smoke
+1368,a portrait of Juliet
+1369,playing Go with Death
+1370,a man standing alone in a wheat field
+1371,Dead Codes by Ryan Murdock
+1372,Synesthesia
+1373,The years gild our memoriesnUnfairly.
+1374,A propaganda poster promoting big chungus
+1375,"God, it's amazing."
+1376,Persephone
+1377,a beautiful person
+1378,MEMETIC HAZARD
+1379,totemic dusk
+1380,Intimations of Immortality
+1381,A poster advertising death by water
+1382,a photo of a purple dog
+1383,symmetry
+1384,A poster advertising misery
+1385,a portrait of Elvis Presley
+1386,Post-Modern Nouveaux Statue
+1387,a man from an anime
+1388,Anxiety: the one emotion that does not lie
+1389,photosynthesis
+1390,the man in the mirror
+1391,"half Ryan, half pigeon"
+1392,Sorrow's my body on the wavesnnAlone on the water
+1393,a seance in the basement
+1394,A poster serving as a memento mori
+1395,Aflame
+1396,A structure made of people standing on top of other people
+1397,The First Supper
+1398,totemic dusk
+1399,a beautiful person
+1400,a painting of the last day
+1401,a photo of Juliet
+1402,a horse with four eyes
+1403,pasta ömetabolism
+1404,Synesthesia
+1405,a cherry tree made of fractals
+1406,Post-post-post-post-modern art
+1407,pasta ömetabolism
+1408,MEMETIC HAZARD
+1409,a portrait of Abe Lincoln
+1410,Everywhere is no-place
+1411,Memento Mori
+1412,The average Advadnoun twitter follower
+1413,a beautiful painting
+1414,A black and white photo of a rainbow.
+1415,The Death of Achilles
+1416,a portrait of <name>
+1417,cult of prisms
+1418,a beautiful person
+1419,a beautiful painting
+1420,a beautiful woman
+1421,An Arundel Tomb
+1422,she came in through the wall
+1423,the moon is a sickle cell
+1424,a minimalist painting that you wouldn't understand
+1425,a beast of burden
+1426,a gilded lily
+1427,a beautiful woman
+1428,a brilliant painting titled
+1429,a painting of the city
+1430,"""Your mind falls in the gaps"" - by Ryan Murdock"
+1431,"r.j. Murdock's ""The Death of a Hacker"""
+1432,Aflame
+1433,a beautiful painting
+1434,Juliet
+1435,turnt brony undergrad dwight
+1436,symmetry
+1437,Going home -- melanchonostalgic photography
+1438,a character from a ghibli movie
+1439,She's gorgeous
+1440,incineratures motherhood
+1441,a calm still life in ethereal blue
+1442,incineratures motherhood
+1443,A baroque portrait of Hamlet
+1444,"A professional, minimalist poster for the book The Old Man and the Sea"
+1445,Anxiety: the one emotion that does not lie
+1446,a portrait of a beautiful person
+1447,"Go off to sleep in the sunshine, I don’t want to see the day when it’s dying"
+1448,a tree with weaping branches
+1449,''''
+1450,Intimations of Immortality
+1451,Weeping Roses
+1452,playing Go with Death
+1453,"Elvis holding a rabbit. A detailed, high-quality photo without distortions"
+1454,snazzy snazzy myspace cosplaying undergrad lookin cosplaying jared
+1455,turnt brony undergrad dwight
+1456,Dancing in the moonlight
+1457,Figure 5: a corgi
+1458,a beautiful woman
+1459,A Tragedy
+1460,a photo of a purple dog
+1461,a famous painted portrait of Lady Macbeth
+1462,"A cute, minmimalist valentine's day card featuring a cat"
+1463,The things I'll take with me
+1464,pathoarthistory evankirstel sleep depend npainter ☼ nightmare comprehend
+1465,Summer's Symphony: Counterpoint and Melody
+1466,a horse with four eyes
+1467,Aflame
+1468,a ginormous baby
+1469,
+1470,Saturn being a good dad to his son
+1471,a beautiful woman
+1472,a terrifying night hag
+1473,a portrait of Abraham Lincoln
+1474,"i'm never gonna lose the desire to be loved. ""Oh the pain!! The pain! The agony!"""
+1475,a cute cat
+1476,"""The hunger artist, full"" by Ryan Murdock"
+1477,A baroque portrait of Hamlet
+1478,a beautiful person
+1479,Last Breath
+1480,Juliet
+1481,"Go off to sleep in the sunshine, I don’t want to see the day when it’s dying"
+1482,"God, it's amazing."
+1483,a portrait of Abraham Lincoln
+1484,a woman and a crow
+1485,a portrait of Abraham Lincoln
+1486,Dancing in the moonlight
+1487,a tree with weaping branches
+1488,using generated paint
+1489,a gilded lily
+1490,treehouse in the style of studio ghibli animation
+1491,chiaroscuro
+1492,Last Breath
+1493,A dead man
+1494,a summer day
+1495,The fates knit such intricate nooses for us to bind.
+1496,bored of dying
+1497,🔴~__��'t �
+1498,Pig which could not cease to die.
+1499,Intimations of Immortality
+1500,a painting of a sycamore in
+1501,The Fool
+1502,she isn't busy: she just isn't into you
+1503,a beautiful person
+1504,"""The hunger artist, full"" by Ryan Murdock"
+1505,
+1506,a portrait of Elvis Presley
+1507,a woman and a crow
+1508,Homer Simpson
+1509,Anxiety: the one emotion that does not lie
+1510,A structure made of people standing on top of other people
+1511,a beautiful person
+1512,a beautiful person
+1513,totemic dusk
+1514,a christmas card from the victorian era
+1515,Sickness of the Soul
+1516,God is in heaven and all is right in the world
+1517,Mona Lisa
+1518,a portrait of Abraham Lincoln
+1519,a cute cat
+1520,turnt brony undergrad dwight
+1521,"a brilliant sketch titled ""Let Forever be Delayed"""
+1522,a city in Van Gogh's style
+1523,Synesthesia by Ryan Murdock
+1524,"""A God Made of Wires and Dust"" by Ryan Murdock"
+1525,a beautiful dawn
+1526,a portrait of Abraham Lincoln
+1527,
+1528,a horse with four eyes.
+1529,Last Breath
+1530,slightly mild cosplaying pseudo beard
+1531,
+1532,A dead man
+1533,cowboy with a trumpet
+1534,We haunt the synapses
+1535,
+1536,a horse with four eyes.
+1537,pasta ömetabolism
+1538,A short life full of immense joy
+1539,a wormhole
+1540,Juliet
+1541,is this loss? but it's van gogh
+1542,tamine ethereal image
+1543,is this loss? but it's van gogh
+1544,"A clock with gorgeous, intricate gradients on it"
+1545,Dancing in the moonlight
+1546,a broken heart
+1547,a wormhole
+1548,beautiful art
+1549,Genesis
+1550,face like an M.C. Escher drawing n(you could get lost in its beauty)
+1551,a character from a ghibli movie
+1552,Cat in a teacup
+1553,symmetry
+1554,A black and white photo of a rainbow.
+1555,A propaganda poster promoting big chungus
+1556,a woman and a crow
+1557,a green doG
+1558,"""The hunger artist, full"" by Ryan Murdock"
+1559,snazzy snazzy myspace cosplaying undergrad lookin cosplaying jared
+1560,Last Breath
+1561,The Monet Lisa
+1562,all architecture
+1563,The Virgin Mary as a broken-down android
+1564,a terrifying night hag
+1565,a green doG
+1566,pasta ömetabolism
+1567,The Fool tarot card but it's The Lovers
+1568,Do you remember the mythic beast?nA last-minute cancellation at The Last Supper
+1569,the eternal dread of lemongrab
+1570,The warrior Achilles devours slain Hector's corpse -- an ink poster by Ryan Murdock
+1571,Shinji Ikari
+1572,The Monet Lisa
+1573,a cherry tree made of fractals
+1574,a portrait of Juliet
+1575,She's gorgeous
+1576,A black and white photo of a rainbow.
+1577,They called you the hyacinth girl
+1578,a portrait of <name>
+1579,photosynthesis
+1580,"Elvis holding a rabbit. A detailed, high-quality photo without distortions"
+1581,The Starry Night
+1582,"""A new hope blooms on the long notes of old horns."""
+1583,A minimalistic still life of a cat sitting on a table
+1584,a dog eating a cheese burger
+1585,A structure made of people standing on top of other people
+1586,Genesis
+1587,
+1588,"Oh the Death, not pigs forever."
+1589,The Starry Night
+1590,Persephone
+1591,a beautiful person
+1592,Sickness of the Soul
+1593,turnt brony undergrad dwight
+1594,a gilded lily
+1595,Photograph of a glass of Blue Tea
+1596,a woman and a crow
+1597,
+1598,a beautiful person
+1599,turnt brony undergrad dwight
+1600,mammals
+1601,The Lost Generation
+1602,a goblin by van gogh
+1603,A black and white photo of a rainbow.
+1604,"""Your mind flails in the gaps"" - by Ryan Murdock"
+1605,"half Ryan, half pigeon"
+1606,An Arundel Tomb
+1607,pasta ömetabolism
+1608,A dandelion blown into the universe
+1609,a man at the beach
+1610,Monet Lisa
+1611,"r.j. Murdock's ""The Death of a Hacker"""
+1612,Saturn being a good dad to his son
+1613,The Starry Night
+1614,a beautiful person
+1615,"Elvis holding a rabbit. A detailed, high-quality photo without distortions"
+1616,an old man
+1617,an intricate sculpture of Death itself
+1618,Genesis
+1619,a cherry tree made of fractals
+1620,a beautiful woman
+1621,a beautiful woman
+1622,an illustration of a baby daikon radish in a tutu walking a dog
+1623,
+1624,the latent space
+1625,A dead man
+1626,
+1627,frogs in the style of Ralph Steadman
+1628,a cherry tree made of fractals
+1629,fuzzy pals hum
+1630,a tiny church inside an eyeball
+1631,Aflame
+1632,a sunflower
+1633,Nostos
+1634,Monet Lisa
+1635,Monet Lisa
+1636,a cherry tree made of fractals
+1637,Cat in a teacup
+1638,I miss the Spring
+1639,a beautiful person
+1640,Redacted ████████
+1641,"God, it's amazing."
+1642,a portrait of <name>
+1643,Shrek the ogre
+1644,Super Mario World but every character is Luigi
+1645,God killed Van Gogh.
+1646,"A cute, minmimalist valentine's day card featuring a cat"
+1647,She's gorgeous
+1648,a sunflower
+1649,the sun is shining on the lake
+1650,the intersection of art and technology
+1651,a beautiful woman
+1652,a beautiful painting
+1653,Paradise Lost
+1654,president abe lincoln but a cat
+1655,
+1656,"""The Penultimate Supper"" by Da Vinci"
+1657,On the edge of endless darkness
+1658,With the Gods in envy of their visions
+1659,Dril is a cyber-philosopher.
+1660,"r.j. Murdock's ""The Death of a Hacker"""
+1661,
+1662,a picture of Ryan Murdock
+1663,A E S T H E T I C ?
+1664,deepdream aka inceptionism
+1665,pathoarthistory evankirstel sleep depend npainter ☼ nightmare comprehend
+1666,a beautiful woman
+1667,Homer Simpson
+1668,Persephone
+1669,the whitest man
+1670,handsome commemorative garden pigeon
+1671,"Elvis holding a rabbit. A detailed, high-quality photo without distortions"
+1672,a minimalist painting that you wouldn't understand
+1673,a beautiful person
+1674,Monet Lisa
+1675,Monet Lisa
+1676,cult of prisms
+1677,"a ""This machine kills Trojans"" sticker on a Greek lyre"
+1678,The agony of time
+1679,turnt brony undergrad dwight
+1680,the whitest man
+1681,Dril is a cyber-philosopher.
+1682,Alan Turing
+1683,when the wind blows
+1684,a portrait of Persephone
+1685,deepdream aka inceptionism
+1686,Dead Codes by Ryan Murdock
+1687,Saturn being a good dad to his son
+1688,a portrait of Abraham Lincoln
+1689,The Theotokos is a bird
+1690,a beautiful woman
+1691,"i'm never gonna lose the desire to be loved. ""Oh the pain!! The pain! The agony!"""
+1692,a corgi
+1693,a green doG
+1694,A E S T H E T I C ?
+1695,
+1696,the intersection of art and technology
+1697,Dead Codes by Ryan Murdock
+1698,a cute rabbit
+1699,"God, it's amazing."
+1700,a silent palace
+1701,a wholesome clown. Not creepy at all
+1702,Exquisite LonelinessnnLurid art by Ryan Murdock
+1703,A structure made of people standing on top of other people
+1704,Dead Codes by Ryan Murdock
+1705,a gorgeous bouquet with roses and sunflowers
+1706,a portrait of <name>
+1707,intricate nothing
+1708,snazzy snazzy myspace cosplaying undergrad lookin cosplaying jared
+1709,Metaphysics
+1710,using generated paint
+1711,a minimalist painting that you wouldn't understand
+1712,she sings opera
+1713,Cat in a teacup
+1714,turnt brony undergrad dwight
+1715,a beautiful woman
+1716,"""The hunger artist, full"" by Ryan Murdock"
+1717,The years gild our memoriesnUnfairly.
+1718,a woman and a crow
+1719,A vanitas still life that features twitter follower counts
+1720,The Monet Lisa
+1721,a gorgeous bouquet with roses and sunflowers
+1722,Philosophy is really homesickness: the urge to be at home everywhere
+1723,a green doG
+1724,an omen
+1725,An elegant image of nature with gorgeous swirling gradients by R.J. Murdock
+1726,a cute corgi
+1727,cowboy with a trumpet
+1728,"The laptop of brave Achaean Achilles, who would not live long."
+1729,a portrait of a beautiful woman
+1730,slightly mild cosplaying pseudo beard
+1731,a man standing alone in a wheat field
+1732,Aflame
+1733,a portrait of Persephone
+1734,a woman and a crow
+1735,I sold my soul at the crossroads
+1736,the demise of the universe
+1737,a portrait of a beautiful person
+1738,"Mephisto, shrouded in smoke"
+1739,a portrait of advadnoun
+1740,God is in heaven and all is right in the world
+1741,a cherry tree made of fractals
+1742,Odysseus speaks to the shades in Hades
+1743,a steampunk technomancer
+1744,a woman and a crow
+1745,treehouse in the style of studio ghibli animation
+1746,a gorgeous bouquet with roses and sunflowers
+1747,🎷
+1748,a cherry tree made of fractals
+1749,"A cute, minmimalist valentine's day card featuring a cat"
+1750,a famous painted portrait of Lady Macbeth
+1751,pasta ömetabolism
+1752,A short life full of immense joy
+1753,a terrifying night hag
+1754,a horse with four eyes.
+1755,A baroque portrait of Hamlet
+1756,this person is
+1757,snazzy snazzy myspace cosplaying undergrad lookin cosplaying jared
+1758,"a brilliant sketch titled ""Let Forever be Delayed"""
+1759,baby metal
+1760,a character from a ghibli movie
+1761,a corgi
+1762,the massive hope nof early iterations
+1763,a portrait of a beautiful person
+1764,Intimations of Immortality
+1765,a silent palace
+1766,Post-post-post-post-modern art
+1767,a person's face
+1768,"r.j. Murdock's ""The Death of a Hacker"""
+1769,a cherry tree made of fractals
+1770,Ophelia
+1771,A E S T H E T I C ?
+1772,
+1773,
+1774,Genesis
+1775,Persephone
+1776,Last Breath
+1777,a portrait of Abraham Lincoln
+1778,The OLD DATA
+1779,the whitest man
+1780,a minimalist painting that you wouldn't understand
+1781,God once loved a woman
+1782,totemic dusk
+1783,when the wind blows
+1784,treehouse in the style of studio ghibli animation
+1785,a corgi
+1786,Last Breath
+1787,slightly mild cosplaying pseudo beard
+1788,a portrait of a beautiful woman
+1789,
+1790,a photo from {my hometown}
+1791,Dancing in the moonlight
+1792,Everywhere is no-place
+1793,Post-post-post-post-modern art
+1794,👉  👈
+1795,
+1796,a woman and a crow
+1797,"half Ryan, half pigeon"
+1798,president abe lincoln but a cat
+1799,A propaganda poster promoting big chungus
+1800,"""The hunger artist, full"" by Ryan Murdock"
+1801,a painting that couldn't be sold
+1802,a beautiful haunting
+1803,a technomancer
+1804,"""A God Made of Wires and Dust"" by Ryan Murdock"
+1805,little birds
+1806,"""The hunger artist, full"" by Ryan Murdock"
+1807,"""The hunger artist, full"" by Ryan Murdock"
+1808,rooted reflected worries
+1809,is this loss? but it's van gogh
+1810,a portrait of <name>
+1811,a beautiful person
+1812,a photo portrait of Joe Bidenthulu
+1813,a dog eating a cheese burger
+1814,Aflame
+1815,"a brilliant sketch titled ""Let Forever be Delayed"""
+1816,Aflame
+1817,Aflame
+1818,a beautiful haunting
+1819,totemic dusk
+1820,"""The hunger artist, full"" by Ryan Murdock"
+1821,Intimations of Immortality
+1822,"""Your mind fails in the gaps"" - by Ryan Murdock"
+1823,snazzy snazzy myspace cosplaying undergrad lookin cosplaying jared
+1824,a dog.
+1825,a green doG
+1826,The Lost Generation
+1827,Last Breath
+1828,intricate nothing
+1829,"God, it's amazing."
+1830,this person is
+1831,a silent palace
+1832,a dog eating a cheese burger
+1833,Genesis
+1834,a calm still life in ethereal blue
+1835,slightly mild cosplaying pseudo beard
+1836,A propaganda poster promoting big chungus
+1837,is this loss? but it's van gogh
+1838,Dancing in the moonlight
+1839,a corgi
+1840,🔴~__��'t �
+1841,totemic dusk
+1842,a ginormous baby
+1843,Dancing in the moonlight
+1844,a photo from {my hometown}
+1845,a beautiful Waluigi
+1846,human
+1847,A black and white photo of a rainbow.
+1848,a beautiful person
+1849,"""Cameras can't make art""nnAn oil on canvas by Murdock"
+1850,a cherry tree made of fractals
+1851,a beautiful person
+1852,Taylor Swift
+1853,a man on fire
+1854,Post-Modern Nouveaux Statue
+1855,is this loss? but it's van gogh
+1856,a man at the beach
+1857,a beautiful person
+1858,"""The hunger artist, full"" by Ryan Murdock"
+1859,The OLD DATA
+1860,Dancing in the moonlight
+1861,A structure made of people standing on top of other people
+1862,a horse with four eyes.
+1863,�>: ican read wii
+1864,a portrait of Abraham Lincoln
+1865,A propaganda poster for chunky cats.
+1866,
+1867,The Death of Achilles
+1868,on the edge of grace
+1869,I did not mean it I wanted a cute clever cartoon I swear.
+1870,a handwritten obituary
+1871,a man standing alone in a wheat field
+1872,the intersection of art and technology
+1873,Memento Mori
+1874,a portrait of a beautiful woman
+1875,cigar sammycorgi
+1876,a steampunk technomancer
+1877,"Sons are like birds, flying always over the mountain"
+1878,The Lost Generation
+1879,a minimalist painting that you wouldn't understand
+1880,A black and white photo of a rainbow.
+1881,a man holding an apple in one hand
+1882,🔴~__��'t �
+1883,🍰  🇺 🎓 🐶
+1884,a man holding an apple in one hand
+1885,a sketch of the mind of god
+1886,treehouse in the style of studio ghibli animation
+1887,Beauty here -- a photograph by Ryan Murdock
+1888,A E S T H E T I C ?
+1889,a selfie
+1890,is this loss? but it's van gogh
+1891,Costco wedding
+1892,a beautiful person
+1893,a green doG
+1894,symmetry
+1895,a dog eating a cheese burger
+1896,a summer day
+1897,"""A God Made of Wires and Dust"" by Ryan Murdock"
+1898,snazzy snazzy myspace cosplaying undergrad lookin cosplaying jared
+1899,a portrait of a beautiful woman
+1900,зеленая собака
+1901,"joy, happiness, bliss"
+1902,Juliet
+1903,a wholesome clown. Not creepy at all
+1904,meaningless neko ♡♡ neko
+1905,I can read when there's writing on the wall
+1906,"Oh the Death, not pigs forever."
+1907,a minimalist painting that you wouldn't understand
+1908,Aflame
+1909,Super Mario World but every character is Luigi
+1910,/
+1911,Dead Codes by Ryan Murdock
+1912,A vanitas still life that features twitter follower counts
+1913,a beautiful woman
+1914,a lamp
+1915,
+1916,the eyes of God are wired shut
+1917,intricate nothing
+1918,Is this loss?
+1919,a photo of a purple dog
+1920,a lamp
+1921,totemic dusk
+1922,The average Advadnoun twitter follower
+1923,photosynthesis
+1924,Costco wedding
+1925,🔴~__��'t �
+1926,Aflame
+1927,a cherry tree made of fractals
+1928,an intricate painting of eternity
+1929,Saturn being a good dad to his son
+1930,Nostos
+1931,a beautiful person
+1932,A gargoyle of wires and flesh
+1933,🎷
+1934,a beautiful person
+1935,a tack
+1936,Faceless Sorrow
+1937,a gorgeous bouquet with roses and sunflowers
+1938,using generated paint
+1939,A Tragedy
+1940,зеленая собака
+1941,🔴~__��'t �
+1942,A Tragedy
+1943,A sticky-note magnum opus featuring birds
+1944,president abe lincoln but a cat
+1945,using generated paint
+1946,
+1947,Intimations of Immortality
+1948,a portrait of <name>
+1949,a silent palace
+1950,A poster advertising death by water
+1951,A propaganda poster promoting big chungus
+1952,totemic dusk
+1953,a horse with four eyes.
+1954,cigar sammycorgi
+1955,"""It is beginning to end.""nby Ryan Murdock."
+1956,all architecture
+1957,a portrait of Abraham Lincoln
+1958,"joy, happiness, bliss"
+1959,a man with a beard
+1960,Genesis
+1961,👉  👈
+1962,Summer's Symphony: Counterpoint and Melody
+1963,A gun killed Van Gogh.
+1964,snazzy snazzy myspace cosplaying undergrad lookin cosplaying jared
+1965,A minimalist propaganda poster promoting panpsychism
+1966,Persephone
+1967,a goblin by van gogh
+1968,"""A new hope blooms on the long notes of old horns."""
+1969,a painting of the city
+1970,
+1971,The agony of time
+1972,Ophelia
+1973,turnt brony undergrad dwight
+1974,a beautiful person
+1975,totemic dusk
+1976,The Fool tarot card but it's The Lovers
+1977,
+1978,a broken heart
+1979,"Rise, Oink, Lazarus of Bethany"
+1980,"""The hunger artist, full"" by Ryan Murdock"
+1981,a cherry tree made of fractals
+1982,an intricate painting of eternity
+1983,She's gorgeous
+1984,a beautiful person
+1985,I will meet you in a field firmly set within wrong.nnBy Ryan Murdock
+1986,using generated paint
+1987,a portrait of Abe Lincoln
+1988,Persephone flees Hades
+1989,a steampunk technomancer
+1990,a beautiful woman
+1991,"A portrait: man, whose lineage is corpse."
+1992,🔴~__��'t �
+1993,Intimations of Immortality
+1994,an omen
+1995,Persephone
+1996,"God closes a door, boards up stained-glass windows."
+1997,"""A new hope blooms on the long notes of old horns."""
+1998,Fire
+1999,
+2000,Metaphysics
+2001,"""The hunger artist, full"" by Ryan Murdock"
+2002,when the wind blows
+2003,a portrait of a beautiful person
+2004,The Lost Generation
+2005,a corgi
+2006,a beautiful woman
+2007,pasta ömetabolism
+2008,a sad man
+2009,Juliet
+2010,a painting of a sycamore in
+2011,a portrait of Abraham Lincoln
+2012,The Fates knit such delicate nooses for us to bind
+2013,a photo from {my hometown}
+2014,a tree with leaves that are amarillo sightseeing thetic
+2015,Sickness of the Soul
+2016,pasta ömetabolism
+2017,pasta ömetabolism
+2018,bored of dying
+2019,An Arundel Tomb
+2020,The Starry Night
+2021,Nostos
+2022,bored of dying
+2023,The Lost Generation
+2024,The average Advadnoun twitter follower
+2025,pathoarthistory evankirstel sleep depend npainter ☼ nightmare comprehend
+2026,a silent palace
+2027,beautiful art
+2028,
+2029,Last Breath
+2030,
+2031,a
+2032,a portrait of advadnoun
+2033,a portrait of a beautiful person
+2034,a man holding an apple in one hand
+2035,a gorgeous bouquet with roses and sunflowers
+2036,photosynthesis
+2037,God killed Van Gogh.
+2038,Saturn being a good dad to his son
+2039,a horse with four eyes.
+2040,a beautiful woman
+2041,a beautiful person
+2042,a portrait of Abe Lincoln
+2043,totemic dusk
+2044,A Tragedy
+2045,Persephone
+2046,The OLD DATA
+2047,"Elvis holding a rabbit. A detailed, high-quality photo without distortions"
+2048,face like an M.C. Escher drawing n(you could get lost in its beauty)
+2049,Dead Codes by Ryan Murdock
+2050,Intimations of Immortality
+2051,turnt brony undergrad dwight
+2052,a photo of a purple dog
+2053,Cat in a teacup
+2054,🔴~__��'t �
+2055,turnt brony undergrad dwight
+2056,Beauty here -- a photo by r.j. Murdock
+2057,The Fool
+2058,a portrait of Juliet
+2059,a jukebox powered by smoke
+2060,cowboy with a trumpet
+2061,twilight
+2062,"joy, happiness, bliss"
+2063,Dead Codes by Ryan Murdock
+2064,"a brilliant sketch titled ""Let Forever be Delayed"""
+2065,tamine ethereal image
+2066,a portrait of <name>
+2067,"God, it's amazing."
+2068,she came in through the wall
+2069,Fire
+2070,Juliet
+2071,God killed Van Gogh.
+2072,a portrait of Persephone
+2073,a beautiful person
+2074,the whitest man
+2075,Somewhere where I am not.nIntricate beauty by Ryan Murdock.
+2076,a gilded lily
+2077,The Lost Generation
+2078,Dead Codes by Ryan Murdock
+2079,Intimations of Immortality
+2080,meaningless neko ♡♡ neko
+2081,beautiful art
+2082,"""The hunger artist, full"" by Ryan Murdock"
+2083,an intricate painting of eternity
+2084,Good grief
+2085,"a person with 2 eyes, one mouth, one nose, and no extra holes!"
+2086,The Fool