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Runtime error
Runtime error
Update app.py
Browse files
app.py
CHANGED
@@ -160,141 +160,162 @@ with gr.Blocks(css=css) as demo:
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</h3>
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"""
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)
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seed = gr.Slider(
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label="Seed",
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minimum=0,
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maximum=MAX_SEED,
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step=1,
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value=0,
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)
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value=25,
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)
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number_image = gr.Slider(
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label="Number of Images",
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minimum=1,
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maximum=4,
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step=1,
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value=1,
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)
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randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
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with gr.Row(visible=True):
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width = gr.Slider(
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label="Width",
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minimum=256,
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maximum=MAX_IMAGE_SIZE,
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step=32,
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value=1024,
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)
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)
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)
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with gr.Group():
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use_negative_prompt.change(
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fn=lambda x: gr.update(visible=x),
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inputs=use_negative_prompt,
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outputs=negative_prompt,
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api_name=False,
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)
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gr.on(
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triggers=[
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prompt.submit,
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negative_prompt.submit,
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run_button.click,
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],
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fn=generate,
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inputs=[
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prompt,
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negative_prompt,
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use_negative_prompt,
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seed,
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width,
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height,
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guidance_scale,
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randomize_seed,
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steps,
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number_image,
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],
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outputs=[result],
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api_name="run",
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)
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gr.on(
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triggers=[
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prompt.submit,
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negative_prompt.submit,
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run_button.click,
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],
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fn=img2img_generate,
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inputs=[
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prompt,
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init_image,
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negative_prompt,
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use_negative_prompt,
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seed,
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guidance_scale,
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randomize_seed,
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steps,
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strength,
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number_image,
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],
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outputs=[img2img_output],
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api_name="img2img_run",
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)
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if __name__ == "__main__":
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demo.queue().launch()
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</h3>
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"""
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)
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+
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with gr.Tabs():
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with gr.TabItem("Text to Image"):
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with gr.Group():
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with gr.Row():
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prompt = gr.Text(
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label="Prompt",
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show_label=False,
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max_lines=1,
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placeholder="Enter your prompt",
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container=False,
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)
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run_button = gr.Button("Run", scale=0)
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result = gr.Gallery(label="Result", elem_id="gallery", show_label=False)
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with gr.Accordion("Advanced options", open=False):
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with gr.Row():
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use_negative_prompt = gr.Checkbox(label="Use negative prompt", value=True)
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negative_prompt = gr.Text(
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label="Negative prompt",
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max_lines=1,
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value = "deformed, distorted, disfigured, poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, mutated hands and fingers, disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, NSFW",
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visible=True,
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)
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seed = gr.Slider(
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label="Seed",
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min=0,
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maximum=MAX_SEED,
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step=1,
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value=0,
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)
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steps = gr.Slider(
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label="Steps",
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min=0,
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maximum=60,
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step=1,
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value=25,
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)
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number_image = gr.Slider(
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label="Number of Images",
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min=1,
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maximum=4,
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step=1,
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value=1,
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)
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randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
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with gr.Row(visible=True):
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width = gr.Slider(
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label="Width",
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min=256,
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maximum=MAX_IMAGE_SIZE,
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step=32,
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value=1024,
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)
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height = gr.Slider(
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label="Height",
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minimum=256,
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maximum=MAX_IMAGE_SIZE,
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step=32,
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value=1024,
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)
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with gr.Row():
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guidance_scale = gr.Slider(
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label="Guidance Scale",
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min=0.1,
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maximum=10,
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step=0.1,
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value=7.0,
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)
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gr.Examples(
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examples=examples,
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inputs=prompt,
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outputs=[result],
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fn=generate,
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cache_examples=CACHE_EXAMPLES,
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)
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use_negative_prompt.change(
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fn=lambda x: gr.update(visible=x),
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inputs=use_negative_prompt,
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outputs=negative_prompt,
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api_name=False,
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)
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gr.on(
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triggers=[
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prompt.submit,
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negative_prompt.submit,
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run_button.click,
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],
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fn=generate,
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inputs=[
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prompt,
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negative_prompt,
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use_negative_prompt,
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seed,
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width,
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height,
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guidance_scale,
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randomize_seed,
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steps,
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number_image,
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],
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outputs=[result],
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api_name="run",
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)
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with gr.TabItem("Image to Image"):
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with gr.Group():
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with gr.Row():
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with gr.Column():
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init_image = gr.Image(label="Input Image", type="pil")
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with gr.Column():
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img2img_output = gr.Gallery(label="Result", elem_id="gallery", show_label=False)
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strength = gr.Slider(label="Img2Img Strength", minimum=0.0, maximum=1.0, step=0.01, value=0.8)
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gr.on(
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triggers=[
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prompt.submit,
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negative_prompt.submit,
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run_button.click,
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],
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fn=img2img_generate,
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inputs=[
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prompt,
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init_image,
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negative_prompt,
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use_negative_prompt,
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seed,
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guidance_scale,
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randomize_seed,
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steps,
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strength,
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number_image,
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],
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outputs=[img2img_output],
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api_name="img2img_run",
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)
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with gr.Group():
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gr.HTML(
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"""
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<p style='text-align: center'>
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Generated results will be displayed here.
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</p>
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"""
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)
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generated_table = gr.Table(
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headers=["Prompt", "Seed", "Image"],
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row_count=1,
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col_count=(3, "fixed"),
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type="gallery",
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show_label=False,
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elem_id="generated-table",
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)
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if __name__ == "__main__":
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demo.queue().launch()
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