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Create app.py
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app.py
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from diffusers import AutoPipelineForText2Image, DiffusionPipeline, UniPCMultistepScheduler, EulerAncestralDiscreteScheduler
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import torch
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import gradio as gr
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from PIL import Image
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import os, random
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import PIL.Image
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from transformers import pipeline
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from diffusers.utils import load_image
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from accelerate import Accelerator
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accelerator = Accelerator()
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apol=[]
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pipe = accelerator.prepare(DiffusionPipeline.from_single_file("https://huggingface.co/lllyasviel/fav_models/fav/DreamShaper_8_pruned.safetensors",torch_dtype=torch.float32, variant=None, use_safetensors=True, safety_checker=None))
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##pipe.scheduler = accelerator.prepare(EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config))
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pipe.unet.to(memory_format=torch.channels_last)
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pipe = accelerator.prepare(pipe.to("cpu"))
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def plex(prompt,neg_prompt,stips,scaly,nut):
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apol=[]
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if nut == 0:
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nm = random.randint(1, 2147483616)
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while nm % 32 != 0:
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nm = random.randint(1, 2147483616)
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else:
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nm=nut
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generator = torch.Generator(device="cpu").manual_seed(nm)
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image = pipe(prompt=prompt, negative_prompt=neg_prompt, generator=generator, num_inference_steps=stips, guidance_scale=scaly)
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for a, imze in enumerate(image["images"]):
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apol.append(imze)
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return apol
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iface = gr.Interface(fn=plex,inputs=[gr.Textbox(label="Prompt"), gr.Textbox(label="negative_prompt", value="low quality, bad quality"), gr.Slider(label="num inference steps",minimum=1,step=1,maximum=20,value=15), gr.Slider(label="guidance_scale",minimum=1,step=1,maximum=10,value=7),gr.Slider(label="manual seed (leave 0 for random)",minimum=0,step=32,maximum=2147483616,value=0)],outputs=gr.Gallery(label="Generated Output Image", columns=1), title="Txt2Img_DrmDrp_v1_SD",description="Running on cpu, very slow!")
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iface.queue(max_size=1,api_open=False)
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iface.launch(max_threads=1)
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