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Update app.py
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app.py
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@@ -22,7 +22,7 @@ pipe = FLUXPipelineWithIntermediateOutputs.from_pretrained(
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torch.cuda.empty_cache()
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# Inference function
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@spaces.GPU(duration=25)
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def generate_image(prompt, seed=42, width=DEFAULT_WIDTH, height=DEFAULT_HEIGHT, randomize_seed=False, num_inference_steps=2, progress=gr.Progress(track_tqdm=True)):
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if randomize_seed:
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seed = random.randint(0, MAX_SEED)
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@@ -56,7 +56,7 @@ examples = [
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with gr.Blocks() as demo:
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with gr.Column(elem_id="app-container"):
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gr.Markdown("# 🎨 Realtime FLUX Image Generator")
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gr.Markdown("Generate stunning images in real-time with
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gr.Markdown("<span style='color: red;'>Note: Sometimes it stucks or stops generating images (I don't know why). In that situation just refresh the site.</span>")
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with gr.Row():
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torch.cuda.empty_cache()
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# Inference function
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@spaces.GPU(duration=25, queue=False)
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def generate_image(prompt, seed=42, width=DEFAULT_WIDTH, height=DEFAULT_HEIGHT, randomize_seed=False, num_inference_steps=2, progress=gr.Progress(track_tqdm=True)):
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if randomize_seed:
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seed = random.randint(0, MAX_SEED)
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with gr.Blocks() as demo:
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with gr.Column(elem_id="app-container"):
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gr.Markdown("# 🎨 Realtime FLUX Image Generator")
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gr.Markdown("Generate stunning images in real-time with Modified Flux.Schnell pipeline.")
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gr.Markdown("<span style='color: red;'>Note: Sometimes it stucks or stops generating images (I don't know why). In that situation just refresh the site.</span>")
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with gr.Row():
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