Spaces:
Sleeping
Sleeping
update app
Browse files
app.py
CHANGED
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@@ -240,8 +240,32 @@ def infer(
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# Save RRD
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rrd_path = os.path.join(TMP_DIR, f"{run_id}.rrd")
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rec.save(rrd_path)
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return rrd_path, seed
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except Exception as e:
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raise e
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@@ -252,14 +276,14 @@ def infer(
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@spaces.GPU
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def infer_example(input_image, prompt, lora_adapter):
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if input_image is None:
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return None, 0
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input_pil = input_image.convert("RGB")
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guidance_scale = 1.0
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steps = 4
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# Call main infer but ignore progress for examples if needed
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result_rrd, seed = infer(input_pil, prompt, lora_adapter, 0, True, guidance_scale, steps)
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return result_rrd, seed
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css="""
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#col-container {
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@@ -274,7 +298,7 @@ with gr.Blocks() as demo:
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gr.Markdown("# **Qwen-Image-Edit-2511-LoRAs-Fast**", elem_id="main-title")
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gr.Markdown("Perform diverse image edits using specialized [LoRA](https://huggingface.co/models?other=base_model:adapter:Qwen/Qwen-Image-Edit-2511) adapters for the [Qwen-Image-Edit](https://huggingface.co/Qwen/Qwen-Image-Edit-2511) model.")
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with gr.Row():
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with gr.Column():
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input_image = gr.Image(label="Upload Image", type="pil", height=290)
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@@ -292,6 +316,8 @@ with gr.Blocks() as demo:
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label="Rerun Visualization",
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height=353
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)
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with gr.Row():
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lora_adapter = gr.Dropdown(
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@@ -299,6 +325,9 @@ with gr.Blocks() as demo:
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choices=list(ADAPTER_SPECS.keys()),
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value="Photo-to-Anime"
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)
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with gr.Accordion("Advanced Settings", open=False, visible=False):
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seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0)
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randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
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@@ -311,7 +340,7 @@ with gr.Blocks() as demo:
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["examples/A.jpeg", "Rotate the camera 45 degrees to the right.", "Multiple-Angles"],
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],
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inputs=[input_image, prompt, lora_adapter],
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outputs=[rerun_output, seed],
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fn=infer_example,
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cache_examples=False,
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label="Examples"
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@@ -322,7 +351,7 @@ with gr.Blocks() as demo:
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run_button.click(
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fn=infer,
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inputs=[input_image, prompt, lora_adapter, seed, randomize_seed, guidance_scale, steps],
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outputs=[rerun_output, seed]
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)
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if __name__ == "__main__":
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# Save RRD
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rrd_path = os.path.join(TMP_DIR, f"{run_id}.rrd")
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rec.save(rrd_path)
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# Save Image for Download
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image_path = os.path.join(TMP_DIR, f"{run_id}.png")
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result_image.save(image_path)
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# Create HTML download bar
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download_html = f'''
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<a href="/file={image_path}" download="edited_image_{run_id}.png" target="_blank" style="
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display: block;
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width: 100%;
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background-color: #FF4500;
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color: white;
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text-align: center;
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padding: 10px 0;
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margin-top: 10px;
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border-radius: 8px;
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text-decoration: none;
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font-weight: 600;
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font-family: 'Outfit', sans-serif;
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transition: background-color 0.2s;
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" onmouseover="this.style.backgroundColor='#E63E00'" onmouseout="this.style.backgroundColor='#FF4500'">
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Download Generated Image
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</a>
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'''
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return rrd_path, download_html, seed
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except Exception as e:
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raise e
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@spaces.GPU
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def infer_example(input_image, prompt, lora_adapter):
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if input_image is None:
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return None, None, 0
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input_pil = input_image.convert("RGB")
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guidance_scale = 1.0
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steps = 4
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# Call main infer but ignore progress for examples if needed
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result_rrd, download_html, seed = infer(input_pil, prompt, lora_adapter, 0, True, guidance_scale, steps)
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return result_rrd, download_html, seed
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css="""
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#col-container {
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gr.Markdown("# **Qwen-Image-Edit-2511-LoRAs-Fast**", elem_id="main-title")
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gr.Markdown("Perform diverse image edits using specialized [LoRA](https://huggingface.co/models?other=base_model:adapter:Qwen/Qwen-Image-Edit-2511) adapters for the [Qwen-Image-Edit](https://huggingface.co/Qwen/Qwen-Image-Edit-2511) model.")
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with gr.Row(equal_height=True):
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with gr.Column():
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input_image = gr.Image(label="Upload Image", type="pil", height=290)
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label="Rerun Visualization",
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height=353
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)
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# HTML Download Bar
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download_html = gr.HTML()
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with gr.Row():
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lora_adapter = gr.Dropdown(
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choices=list(ADAPTER_SPECS.keys()),
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value="Photo-to-Anime"
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)
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with gr.Accordion("Advanced Settings", open=False, visible=False):
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seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0)
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randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
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["examples/A.jpeg", "Rotate the camera 45 degrees to the right.", "Multiple-Angles"],
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],
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inputs=[input_image, prompt, lora_adapter],
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outputs=[rerun_output, download_html, seed],
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fn=infer_example,
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cache_examples=False,
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label="Examples"
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run_button.click(
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fn=infer,
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inputs=[input_image, prompt, lora_adapter, seed, randomize_seed, guidance_scale, steps],
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outputs=[rerun_output, download_html, seed]
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)
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if __name__ == "__main__":
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