Spaces:
Sleeping
Sleeping
Add live status updates: GPU allocated / generating / done
Browse files
app.py
CHANGED
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@@ -76,10 +76,12 @@ def run_tryon(
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num_steps: int,
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guidance_scale: float,
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seed: int,
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)
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if person_image is None or garment_image is None:
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raise gr.Error("Please upload both a person photo and a garment image.")
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pipe = _get_pipe()
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person = _fit_to_square(person_image)
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@@ -89,6 +91,8 @@ def run_tryon(
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rng = torch.Generator(device="cuda")
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rng.manual_seed(int(seed) if seed != -1 else torch.randint(0, 2**32, (1,)).item())
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result = pipe(
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image=person,
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mask_image=mask,
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@@ -106,7 +110,7 @@ def run_tryon(
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img.save(path, format="PNG")
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saved_paths.append(path)
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-
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# ---------------------------------------------------------------------------
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# Gradio UI
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@@ -137,6 +141,7 @@ with gr.Blocks(title="Virtual Try-On", theme=gr.themes.Soft()) as demo:
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try_btn = gr.Button("👗 Try On", variant="primary", size="lg")
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with gr.Column():
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output_gallery = gr.Gallery(label="Result", columns=1, height=380)
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output_files = gr.File(
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label="⬇ Download to your device",
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@@ -147,7 +152,7 @@ with gr.Blocks(title="Virtual Try-On", theme=gr.themes.Soft()) as demo:
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try_btn.click(
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fn=run_tryon,
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inputs=[person_input, garment_input, cloth_type, num_steps, guidance, seed_input],
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outputs=[output_gallery, output_files],
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)
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gr.Markdown(
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num_steps: int,
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guidance_scale: float,
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seed: int,
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):
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if person_image is None or garment_image is None:
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raise gr.Error("Please upload both a person photo and a garment image.")
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yield [], [], "⏳ GPU allocated — loading model (first run: ~3 min download)…"
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pipe = _get_pipe()
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person = _fit_to_square(person_image)
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rng = torch.Generator(device="cuda")
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rng.manual_seed(int(seed) if seed != -1 else torch.randint(0, 2**32, (1,)).item())
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yield [], [], f"🎨 Running {num_steps} diffusion steps…"
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result = pipe(
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image=person,
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mask_image=mask,
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img.save(path, format="PNG")
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saved_paths.append(path)
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yield output_images, saved_paths, "✅ Done! Download your result below."
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# ---------------------------------------------------------------------------
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# Gradio UI
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try_btn = gr.Button("👗 Try On", variant="primary", size="lg")
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with gr.Column():
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status_text = gr.Textbox(label="Status", value="Ready", interactive=False, max_lines=1)
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output_gallery = gr.Gallery(label="Result", columns=1, height=380)
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output_files = gr.File(
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label="⬇ Download to your device",
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try_btn.click(
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fn=run_tryon,
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inputs=[person_input, garment_input, cloth_type, num_steps, guidance, seed_input],
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outputs=[output_gallery, output_files, status_text],
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)
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gr.Markdown(
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