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Update app.py
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app.py
CHANGED
@@ -32,25 +32,25 @@ pipe.enable_attention_slicing()
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# Define the image generation function
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@spaces.GPU(duration=180)
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def generate_image(
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if seed == 0:
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seed = random.randint(1, MAX_SEED)
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-
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with torch.inference_mode():
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prompt=
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num_inference_steps=num_inference_steps,
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height=height,
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width=width,
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guidance_scale=guidance_scale,
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generator=
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num_images_per_prompt=num_images_per_prompt
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).images
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return
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@@ -78,7 +78,7 @@ with gr.Blocks(css=css) as demo:
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)
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with gr.Group():
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with gr.Row():
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run_button = gr.Button("Generate", scale=0)
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resultf = gr.Gallery(label="Generated AI Images", elem_id="gallery")
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with gr.Accordion("Advanced options", open=False):
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@@ -102,11 +102,11 @@ with gr.Blocks(css=css) as demo:
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gr.on(
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triggers=[
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run_button.click,
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],
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fn=generate_image,
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inputs=[
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outputs=[resultf],
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)
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# Define the image generation function
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@spaces.GPU(duration=180)
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def generate_image(promptx, num_inference_steps, height, width, guidance_scale, seed, num_images_per_prompt, progress=gr.Progress(track_tqdm=True)):
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if seed == 0:
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seed = random.randint(1, MAX_SEED)
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generato = torch.Generator().manual_seed(seed)
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with torch.inference_mode():
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out = pipe(
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prompt=promptx,
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num_inference_steps=num_inference_steps,
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height=height,
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width=width,
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guidance_scale=guidance_scale,
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generator=generato,
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num_images_per_prompt=num_images_per_prompt
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).images
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return out
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)
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with gr.Group():
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with gr.Row():
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promptx = gr.Textbox(label="", show_label=False, info="", placeholder="Describe the image you want")
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run_button = gr.Button("Generate", scale=0)
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resultf = gr.Gallery(label="Generated AI Images", elem_id="gallery")
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with gr.Accordion("Advanced options", open=False):
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gr.on(
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triggers=[
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promptx.submit,
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run_button.click,
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],
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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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)
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