Spaces:
Running
on
Zero
Running
on
Zero
Update app_with_diffusers.py
Browse files- app_with_diffusers.py +4 -3
app_with_diffusers.py
CHANGED
@@ -39,13 +39,13 @@ pipe.aggregator.load_state_dict(pretrained_state_dict)
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pipe.to(device='cuda', dtype=torch.float16)
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pipe.aggregator.to(device='cuda', dtype=torch.float16)
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-
def infer(input_image):
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# load a broken image
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low_quality_image = Image.open(input_image).convert("RGB")
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# InstantIR restoration
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image = pipe(
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prompt=
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image=low_quality_image,
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previewer_scheduler=lcm_scheduler,
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).images[0]
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@@ -59,11 +59,12 @@ with gr.Blocks() as demo:
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with gr.Row():
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with gr.Column():
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lq_img = gr.Image(label="Low-quality image", type="filepath")
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submit_btn = gr.Button("InstantIR magic!")
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output_img = gr.Image(label="InstantIR restored")
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submit_btn.click(
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fn=infer,
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inputs=[lq_img],
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outputs=[output_img]
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)
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demo.launch(show_error=True)
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pipe.to(device='cuda', dtype=torch.float16)
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pipe.aggregator.to(device='cuda', dtype=torch.float16)
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+
def infer(prompt, input_image):
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# load a broken image
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low_quality_image = Image.open(input_image).convert("RGB")
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# InstantIR restoration
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image = pipe(
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prompt=prompt,
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image=low_quality_image,
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previewer_scheduler=lcm_scheduler,
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).images[0]
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with gr.Row():
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with gr.Column():
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lq_img = gr.Image(label="Low-quality image", type="filepath")
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prompt = gr.Textbox(label="Prompt", value="")
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submit_btn = gr.Button("InstantIR magic!")
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output_img = gr.Image(label="InstantIR restored")
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submit_btn.click(
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fn=infer,
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inputs=[prompt, lq_img],
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outputs=[output_img]
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)
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demo.launch(show_error=True)
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