Update app.py
Browse files
    	
        app.py
    CHANGED
    
    | @@ -20,6 +20,10 @@ pipe = StableDiffusionPipeline.from_pretrained(pretrain_model, scheduler = sched | |
| 20 | 
             
            # Apply hidiffusion with a single line of code.
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| 21 | 
             
            apply_hidiffusion(pipe)
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| 22 |  | 
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| 23 | 
             
            with gr.Blocks() as demo:
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                prompt = gr.Textbox()
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                negative_prompt = gr.Textbox()
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| @@ -28,8 +32,4 @@ with gr.Blocks() as demo: | |
| 28 |  | 
| 29 | 
             
                btn.click(fn=run_hidiffusion, inputs=[prompt, negative_prompt], outputs=[output])
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            -
                @spaces.GPU
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            -
                def run_hidiffusion(prompt, negative_prompt):
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| 33 | 
            -
                    return pipe(prompt, guidance_scale=7.5, height=1024, width=1024, eta=1.0, negative_prompt=negative_prompt).images[0]
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| 34 | 
            -
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            demo.launch()
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| 20 | 
             
            # Apply hidiffusion with a single line of code.
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| 21 | 
             
            apply_hidiffusion(pipe)
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| 22 |  | 
| 23 | 
            +
            @spaces.GPU
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| 24 | 
            +
            def run_hidiffusion(prompt, negative_prompt):
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| 25 | 
            +
                return pipe(prompt, guidance_scale=7.5, height=1024, width=1024, eta=1.0, negative_prompt=negative_prompt).images[0]
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            +
                    
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| 27 | 
             
            with gr.Blocks() as demo:
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                prompt = gr.Textbox()
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| 29 | 
             
                negative_prompt = gr.Textbox()
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| 32 |  | 
| 33 | 
             
                btn.click(fn=run_hidiffusion, inputs=[prompt, negative_prompt], outputs=[output])
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| 34 |  | 
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| 35 | 
             
            demo.launch()
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