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Duplicate from Manjushri/SD-2.0-Inpainting-CPU
Browse filesCo-authored-by: Manjushri Bodhisattva <Manjushri@users.noreply.huggingface.co>
- .gitattributes +34 -0
- README.md +14 -0
- app.py +30 -0
- requirements.txt +8 -0
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README.md
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---
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title: SD 2.0 Inpainting CPU
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emoji: 💻
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colorFrom: green
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colorTo: blue
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sdk: gradio
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sdk_version: 3.35.2
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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/SD-2.0-Inpainting-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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from diffusers import StableDiffusionInpaintPipeline
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import gradio as gr
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import numpy as np
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import imageio
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from PIL import Image
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import torch
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import modin.pandas as pd
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device = "cuda" if torch.cuda.is_available() else "cpu"
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pipe = StableDiffusionInpaintPipeline.from_pretrained("stabilityai/stable-diffusion-2-inpainting", safety_checker=None)
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pipe = pipe.to(device)
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def resize(value,img):
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img = Image.open(img)
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img = img.resize((value,value))
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return img
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def predict(source_img, prompt, negative_prompt):
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imageio.imwrite("data.png", source_img["image"])
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imageio.imwrite("data_mask.png", source_img["mask"])
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src = resize(768, "data.png")
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src.save("src.png")
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mask = resize(768, "data_mask.png")
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mask.save("mask.png")
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image = pipe(prompt=prompt, negative_prompt=negative_prompt, image=src, mask_image=mask, num_inference_steps=20).images[0]
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return image
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title="Stable Diffusion 2.0 Inpainting CPU"
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description="Inpainting with Stable Diffusion 2.0 <br />Warning: Slow process... ~10 min inference time.<br> <b>Please use 512x512 or 768x768 square .png image as input to avoid memory error!!!</b>"
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gr.Interface(fn=predict, inputs=[gr.Image(source="upload", type="numpy", tool="sketch", elem_id="source_container"), 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')], outputs='image', title=title, description=description, article = "Code Monkey: <a href=\"https://huggingface.co/Manjushri\">Manjushri</a>").launch(max_threads=True, debug=True)
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requirements.txt
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torchvision
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diffusers
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transformers
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accelerate
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ftfy
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scipy
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imageio
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modin[all]
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