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Update app.py
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app.py
CHANGED
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@@ -64,7 +64,7 @@ css = '''
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.gradio-container{max-width: 100% !important}
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h1{text-align:center}
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'''
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with gr.Blocks(css=css) as
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with gr.Row():
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with gr.Column():
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gr.Markdown(
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@@ -92,13 +92,13 @@ with gr.Blocks(css=css) as demo:
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seed = gr.Slider(value=42, minimum=0, maximum=MAX_SEED, step=1, label="Seed", info="A starting point to initiate the generation process, put 0 for a random one")
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num_images_per_prompt = gr.Slider(label="Images Per Prompt", info="Number of Images to generate with the settings",minimum=1, maximum=4, step=1, value=1)
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gr.Examples(
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)
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gr.on(
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triggers=[
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@@ -109,5 +109,5 @@ with gr.Blocks(css=css) as demo:
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inputs=[promptx, 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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.gradio-container{max-width: 100% !important}
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h1{text-align:center}
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'''
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with gr.Blocks(css=css) as fluxobj:
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with gr.Row():
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with gr.Column():
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gr.Markdown(
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seed = gr.Slider(value=42, minimum=0, maximum=MAX_SEED, step=1, label="Seed", info="A starting point to initiate the generation process, put 0 for a random one")
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num_images_per_prompt = gr.Slider(label="Images Per Prompt", info="Number of Images to generate with the settings",minimum=1, maximum=4, step=1, value=1)
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# gr.Examples(
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# examples=examples,
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# fn=generate_image,
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# inputs=[promptx, 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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gr.on(
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triggers=[
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inputs=[promptx, 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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if __name__ == "__main__":
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fluxobj.queue(max_size=20).launch()
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