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Update app.py
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app.py
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@@ -63,6 +63,16 @@ def run_comparison(prompt):
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image_hyper=pipe_hyper(prompt=prompt, num_inference_steps=1, guidance_scale=0, timesteps=[800]).images[0]
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return image_turbo, image_lightning, image_hyper
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with gr.Blocks() as demo:
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gr.Markdown("## One step SDXL comparison 🦶")
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gr.Markdown('Compare SDXL variants and distillations able to generate images in a single diffusion step')
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@@ -78,12 +88,17 @@ with gr.Blocks() as demo:
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with gr.Column():
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image_hyper = gr.Image(label="Hyper SDXL")
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gr.Markdown("## [Hyper SDXL](https://huggingface.co/ByteDance/Hyper-SD)")
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gr.on(
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triggers=[prompt.submit, run.click],
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fn=run_comparison,
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inputs=prompt,
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outputs=
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)
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-
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demo.launch()
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image_hyper=pipe_hyper(prompt=prompt, num_inference_steps=1, guidance_scale=0, timesteps=[800]).images[0]
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return image_turbo, image_lightning, image_hyper
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examples =
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["A dignified beaver wearing glasses, a vest, and colorful neck tie.",
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"The spirit of a tamagotchi wandering in the city of Barcelona",
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"an ornate, high-backed mahogany chair with a red cushion",
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"a sketch of a camel next to a stream",
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"a delicate porcelain teacup sits on a saucer, its surface adorned with intricate blue patterns",
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"a baby swan grafitti",
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"A bald eagle made of chocolate powder, mango, and whipped cream"
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]
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with gr.Blocks() as demo:
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gr.Markdown("## One step SDXL comparison 🦶")
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gr.Markdown('Compare SDXL variants and distillations able to generate images in a single diffusion step')
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with gr.Column():
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image_hyper = gr.Image(label="Hyper SDXL")
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gr.Markdown("## [Hyper SDXL](https://huggingface.co/ByteDance/Hyper-SD)")
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image_outputs = [image_turbo, image_lightning, image_hyper]
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gr.on(
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triggers=[prompt.submit, run.click],
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fn=run_comparison,
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inputs=prompt,
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outputs=image_outputs
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)
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gr.Examples(
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examples=examples,
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fn=run_comparison,
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inputs=prompt,
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outputs=image_outputs
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)
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demo.launch()
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