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Running
on
Zero
Update app.py
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app.py
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@@ -112,7 +112,7 @@ with gr.Blocks(css=css) as demo:
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# ⚡ Flash Diffusion: FlashSD3 ⚡
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This is an interactive demo of [Flash Diffusion](https://gojasper.github.io/flash-diffusion-project/), a diffusion distillation method proposed in [Flash Diffusion: Accelerating Any Conditional
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Diffusion Model for Few Steps Image Generation](http://arxiv.org/abs/2406.02347) *by Clément Chadebec, Onur Tasar, Eyal Benaroche and Benjamin Aubin* from Jasper Research.
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[This model](https://huggingface.co/jasperai/flash-sd3) is a **90.4M** LoRA distilled version of [SD3](https://huggingface.co/stabilityai/stable-diffusion-3-medium) model that is able to generate 1024x1024 images in **4 steps**.
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Results can be compared with the teacher model [here](https://huggingface.co/spaces/stabilityai/stable-diffusion-3-medium).
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Currently running on {power_device}.
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"""
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@@ -163,7 +163,7 @@ with gr.Blocks(css=css) as demo:
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minimum=0.0,
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maximum=3.0,
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step=0.1,
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value=
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)
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num_inference_steps = gr.Slider(
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@@ -171,7 +171,7 @@ with gr.Blocks(css=css) as demo:
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minimum=4,
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maximum=8,
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step=1,
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value=
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)
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examples = gr.Examples(examples=examples, inputs=[prompt], cache_examples=False)
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# ⚡ Flash Diffusion: FlashSD3 ⚡
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This is an interactive demo of [Flash Diffusion](https://gojasper.github.io/flash-diffusion-project/), a diffusion distillation method proposed in [Flash Diffusion: Accelerating Any Conditional
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Diffusion Model for Few Steps Image Generation](http://arxiv.org/abs/2406.02347) *by Clément Chadebec, Onur Tasar, Eyal Benaroche and Benjamin Aubin* from Jasper Research.
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[This model](https://huggingface.co/jasperai/flash-sd3) is a **90.4M** LoRA distilled version of [SD3](https://huggingface.co/stabilityai/stable-diffusion-3-medium) model that is able to generate 1024x1024 images in **4 to 8 steps**.
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Results can be compared with the teacher model [here](https://huggingface.co/spaces/stabilityai/stable-diffusion-3-medium).
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Currently running on {power_device}.
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"""
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minimum=0.0,
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maximum=3.0,
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step=0.1,
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value=0.0,
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)
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num_inference_steps = gr.Slider(
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minimum=4,
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maximum=8,
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step=1,
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value=4,
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)
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examples = gr.Examples(examples=examples, inputs=[prompt], cache_examples=False)
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