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Update app.py
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app.py
CHANGED
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@@ -80,7 +80,7 @@ with gr.Blocks(css=css) as demo:
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with gr.Row():
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prompt = gr.Textbox(label="Prompt", show_label=False, info="", placeholder="Describe the image you want")
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run_button = gr.Button("Generate", scale=0)
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-
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with gr.Accordion("Advanced options", open=False):
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with gr.Row():
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num_inference_steps = gr.Slider(label="Number of Inference Steps", info="The number of denoising steps of the image. More denoising steps usually lead to a higher quality image at the cost of slower inference", minimum=1, maximum=50, value=25, step=1)
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@@ -96,7 +96,7 @@ with gr.Blocks(css=css) as demo:
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examples=examples,
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fn=generate_image,
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inputs=[prompt, num_inference_steps, height, width, guidance_scale, seed, num_images_per_prompt],
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outputs=[
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cache_examples=CACHE_EXAMPLES
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)
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@@ -107,7 +107,7 @@ with gr.Blocks(css=css) as demo:
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],
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fn=generate_image,
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inputs=[prompt, num_inference_steps, height, width, guidance_scale, seed, num_images_per_prompt],
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outputs=[
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)
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demo.queue().launch(share=False)
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with gr.Row():
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prompt = gr.Textbox(label="Prompt", show_label=False, info="", placeholder="Describe the image you want")
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run_button = gr.Button("Generate", scale=0)
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resultf = gr.Gallery(label="Generated AI Images", elem_id="gallery")
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with gr.Accordion("Advanced options", open=False):
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with gr.Row():
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num_inference_steps = gr.Slider(label="Number of Inference Steps", info="The number of denoising steps of the image. More denoising steps usually lead to a higher quality image at the cost of slower inference", minimum=1, maximum=50, value=25, step=1)
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examples=examples,
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fn=generate_image,
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inputs=[prompt, num_inference_steps, height, width, guidance_scale, seed, num_images_per_prompt],
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outputs=[resultf],
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cache_examples=CACHE_EXAMPLES
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)
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],
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fn=generate_image,
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inputs=[prompt, num_inference_steps, height, width, guidance_scale, seed, num_images_per_prompt],
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outputs=[resultf],
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)
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demo.queue().launch(share=False)
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