Spaces:
Sleeping
Sleeping
Use gr.on
Browse files- README.md +1 -1
- app.py +25 -67
- requirements.txt +5 -5
README.md
CHANGED
@@ -4,7 +4,7 @@ emoji: 🌍
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colorFrom: gray
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colorTo: purple
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sdk: gradio
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sdk_version: 3.
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app_file: app.py
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license: mit
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pinned: false
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colorFrom: gray
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colorTo: purple
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sdk: gradio
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sdk_version: 3.45.2
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app_file: app.py
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license: mit
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pinned: false
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app.py
CHANGED
@@ -269,24 +269,14 @@ with gr.Blocks(css="style.css") as demo:
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api_name=False,
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)
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seed,
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width,
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height,
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guidance_scale_base,
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guidance_scale_refiner,
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num_inference_steps_base,
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num_inference_steps_refiner,
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apply_refiner,
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]
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prompt.submit(
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fn=randomize_seed_fn,
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inputs=[seed, randomize_seed],
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outputs=seed,
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@@ -294,58 +284,26 @@ with gr.Blocks(css="style.css") as demo:
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api_name=False,
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).then(
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fn=generate,
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inputs=
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outputs=result,
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api_name="run",
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)
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negative_prompt.submit(
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fn=randomize_seed_fn,
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inputs=[seed, randomize_seed],
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outputs=seed,
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queue=False,
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api_name=False,
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).then(
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fn=generate,
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inputs=inputs,
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outputs=result,
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api_name=False,
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)
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prompt_2.submit(
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fn=randomize_seed_fn,
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inputs=[seed, randomize_seed],
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outputs=seed,
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queue=False,
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api_name=False,
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).then(
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fn=generate,
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inputs=inputs,
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outputs=result,
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api_name=False,
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)
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negative_prompt_2.submit(
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fn=randomize_seed_fn,
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inputs=[seed, randomize_seed],
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outputs=seed,
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queue=False,
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api_name=False,
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).then(
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fn=generate,
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inputs=inputs,
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outputs=result,
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api_name=False,
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)
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run_button.click(
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fn=randomize_seed_fn,
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inputs=[seed, randomize_seed],
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outputs=seed,
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queue=False,
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api_name=False,
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).then(
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fn=generate,
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inputs=inputs,
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outputs=result,
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api_name=False,
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)
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if __name__ == "__main__":
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demo.queue(max_size=20).launch()
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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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prompt_2.submit,
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negative_prompt_2.submit,
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run_button.click,
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],
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fn=randomize_seed_fn,
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inputs=[seed, randomize_seed],
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outputs=seed,
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api_name=False,
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).then(
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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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prompt_2,
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negative_prompt_2,
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use_negative_prompt,
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use_prompt_2,
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use_negative_prompt_2,
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seed,
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width,
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height,
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guidance_scale_base,
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guidance_scale_refiner,
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num_inference_steps_base,
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num_inference_steps_refiner,
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apply_refiner,
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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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if __name__ == "__main__":
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demo.queue(max_size=20).launch()
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requirements.txt
CHANGED
@@ -1,7 +1,7 @@
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accelerate==0.
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diffusers==0.
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gradio==3.
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invisible-watermark==0.2.0
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Pillow==10.0.
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torch==2.0.1
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transformers==4.
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accelerate==0.23.0
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diffusers==0.21.3
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gradio==3.45.2
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invisible-watermark==0.2.0
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Pillow==10.0.1
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torch==2.0.1
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transformers==4.33.3
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