Spaces:
Running
on
Zero
Running
on
Zero
Update app.py
Browse files
app.py
CHANGED
@@ -1619,7 +1619,7 @@ if __name__ == "__main__":
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# GRADIO MODE
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def infer(prompt, progress=gr.Progress()):
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set_seed(args.seed)
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width,height = list(map(int, args.resolution.split(',')))
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pipe = AccDiffusionSDXLPipeline.from_pretrained(args.model_ckpt, torch_dtype=torch.float16).to("cuda")
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@@ -1663,7 +1663,7 @@ if __name__ == "__main__":
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)
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print(images)
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return images
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css = """
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#col-container{
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@@ -1674,9 +1674,30 @@ if __name__ == "__main__":
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with gr.Blocks(css=css) as demo:
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with gr.Column(elem_id="col-container"):
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gr.Markdown("# AccDiffusion: An Accurate Method for Higher-Resolution Image Generation")
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prompt = gr.Textbox(label="Prompt")
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submit_btn = gr.Button("Submit")
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output_images = gr.
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submit_btn.click(
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fn = infer,
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inputs = [prompt],
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# GRADIO MODE
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def infer(prompt, progress=gr.Progress(track_tqdm=True)):
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set_seed(args.seed)
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width,height = list(map(int, args.resolution.split(',')))
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pipe = AccDiffusionSDXLPipeline.from_pretrained(args.model_ckpt, torch_dtype=torch.float16).to("cuda")
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)
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print(images)
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return images[0]
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css = """
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#col-container{
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with gr.Blocks(css=css) as demo:
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with gr.Column(elem_id="col-container"):
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gr.Markdown("# AccDiffusion: An Accurate Method for Higher-Resolution Image Generation")
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gr.HTML("""
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<div style="display:flex;column-gap:4px;">
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<a href='https://lzhxmu.github.io/accdiffusion/accdiffusion.html'>
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<img src='https://img.shields.io/badge/Project-Page-blue'>
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</a>
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<a href='https://github.com/lzhxmu/AccDiffusion'>
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<img src='https://img.shields.io/badge/Code-blue'>
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</a>
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<a href='https://arxiv.org/abs/2407.10738v1'>
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<img src='https://img.shields.io/badge/Paper-Arxiv-red'>
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</a>
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</div>
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""")
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prompt = gr.Textbox(label="Prompt")
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submit_btn = gr.Button("Submit")
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output_images = gr.Image(format="png")
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gr.Examples(
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examples = [
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["Astronaut on Mars during sunset."],
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["A fow peeking out from behind a bush."],
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["A cute corgi on the lawn."],
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],
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inputs = [prompt]
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)
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submit_btn.click(
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fn = infer,
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inputs = [prompt],
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