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import gradio as gr |
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from PIL import Image |
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import numpy as np |
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from io import BytesIO |
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import os |
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MY_SECRET_TOKEN=os.environ.get('HF_TOKEN_SD') |
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from diffusers import StableDiffusionImg2ImgPipeline |
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print("hello sylvain") |
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YOUR_TOKEN=MY_SECRET_TOKEN |
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device="cpu" |
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pipe = StableDiffusionImg2ImgPipeline.from_pretrained("CompVis/stable-diffusion-v1-4", use_auth_token=YOUR_TOKEN) |
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pipe.to(device) |
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source_img = gr.Image(source="upload", type="numpy") |
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gallery = gr.Gallery(label="Generated images", show_label=False, elem_id="gallery").style(grid=[2], height="auto") |
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def infer(prompt, init_image): |
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print(init_image) |
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return init_image |
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print("Great sylvain ! Everything is working fine !") |
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title="Stable Diffusion CPU" |
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description="Stable Diffusion example using CPU and HF token. <br />Warning: Slow process... ~5/10 min inference time. <b>NSFW filter enabled.</b>" |
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gr.Interface(fn=infer, inputs=["text", source_img], outputs=gallery,title=title,description=description).launch(enable_queue=True) |
