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Duplicate from Manjushri/SDXL-.9-CPU
Browse filesCo-authored-by: Manjushri Bodhisattva <[email protected]>
- .gitattributes +34 -0
- README.md +14 -0
- app.py +28 -0
- requirements.txt +8 -0
.gitattributes
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README.md
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---
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title: SDXL .9 CPU
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emoji: 🐢
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colorFrom: green
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colorTo: indigo
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sdk: gradio
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sdk_version: 3.23.0
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app_file: app.py
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pinned: false
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license: mit
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duplicated_from: Manjushri/SDXL-.9-CPU
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---
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Check out the configuration reference at https://huggingface.co/docs/hub/spaces-config-reference
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app.py
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import gradio as gr
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import torch
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import numpy as np
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import modin.pandas as pd
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from PIL import Image
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from diffusers import DiffusionPipeline
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from huggingface_hub import login
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import os
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login(token=os.environ.get('HF_KEY'))
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device = "cuda" if torch.cuda.is_available() else "cpu"
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pipe = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-base-0.9", add_to_git_credential=True)
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pipe = pipe.to(device)
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pipe.unet = torch.compile(pipe.unet, mode="reduce-overhead", fullgraph=True)
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refiner = DiffusionPipeline.from_pretrained("stabilityai/stable-diffusion-xl-refiner-0.9")
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refiner = refiner.to(device)
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refiner.unet = torch.compile(refiner.unet, mode="reduce-overhead", fullgraph=True)
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def genie (prompt, negative_prompt, scale, steps, seed):
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generator = torch.Generator(device=device).manual_seed(seed)
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int_image = pipe(prompt, negative_prompt=negative_prompt, num_inference_steps=steps, guidance_scale=scale, num_images_per_prompt=1, generator=generator, width=768, height=768, output_type="latent").images
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image = refiner(prompt=prompt, image=int_image).images[0]
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return image
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gr.Interface(fn=genie, inputs=[gr.Textbox(label='What you want the AI to generate. 77 Token Limit.'), gr.Textbox(label='What you Do Not want the AI to generate.'), gr.Slider(1, 15, 10), gr.Slider(25, maximum=50, value=25, step=1), gr.Slider(minimum=1, step=1, maximum=999999999999999999, randomize=True)], outputs='image', title="Stable Diffusion XL .9 CPU", description="SDXL .9 CPU. <b>WARNING:</b> Extremely Slow. 65s/Iteration. Expect 25-50mins an image for 25-50 iterations respectively.", article = "Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").launch(debug=True, max_threads=80)
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requirements.txt
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torch
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diffusers
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transformers
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accelerate
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ftfy
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xformers
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modin[all]
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invisible_watermark
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