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Update app.py
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app.py
CHANGED
@@ -186,22 +186,23 @@ with gr.Blocks() as blocks:
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interactive=False,
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info="Whether init image should be QR code. Unclick to pass init image or generate init image with Stable Diffusion 2.1"
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)
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with gr.Accordion(label="Init Images (Optional)", open=False, visible=
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init_image = gr.Image(label="Init Image (Optional). Leave blank to generate image with AI", type="pil")
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with gr.Accordion("Advanced Artistic Controls", open=
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controlnet_conditioning_scale = gr.Slider(
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minimum=0.0,
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maximum=5.0,
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step=0.01,
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value=1.1,
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label="QR Code Visibility",
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info="""
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strength = gr.Slider(
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minimum=0.0,
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@@ -209,11 +210,12 @@ with gr.Blocks() as blocks:
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step=0.01,
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value=0.9,
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label="Artistic Freedom",
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info="""
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guidance_scale = gr.Slider(
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minimum=0.0,
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@@ -221,21 +223,23 @@ with gr.Blocks() as blocks:
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step=0.25,
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value=7.5,
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label="Prompt Adherence",
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info="""
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sampler = gr.Dropdown(
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choices=list(SAMPLER_MAP.keys()),
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value="DPM++ Karras SDE",
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label="Image Generation Technique",
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info="""
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)
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seed = gr.Slider(
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minimum=-1,
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@@ -243,10 +247,11 @@ with gr.Blocks() as blocks:
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step=1,
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value=-1,
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label="Creative Seed",
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info="""
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randomize=False,
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)
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with gr.Row():
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@@ -345,4 +350,4 @@ with gr.Blocks() as blocks:
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blocks.queue(max_size=20,api_open=False)
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blocks.launch(share=bool(os.environ.get("SHARE", False)), show_api=
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interactive=False,
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info="Whether init image should be QR code. Unclick to pass init image or generate init image with Stable Diffusion 2.1"
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)
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with gr.Accordion(label="Init Images (Optional)", open=False, visible=True) as init_image_acc:
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init_image = gr.Image(label="Init Image (Optional). Leave blank to generate image with AI", type="pil")
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with gr.Accordion("Advanced Artistic Controls", open=True):
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controlnet_conditioning_scale = gr.Slider(
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minimum=0.0,
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maximum=5.0,
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step=0.01,
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value=1.1,
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label="QR Code Visibility",
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info="""
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Balance between QR code clarity and artistic integration:
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<p>• Lower (0.0-0.5): Subtle, may be hard to scan</p>
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<p>• Middle (0.6-1.5): Good blend of art and function</p>
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<p>• Higher (1.6-5.0): Very clear QR code, less artistic freedom</p>
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<p>Start at 1.1 and adjust to find your perfect balance.</p>"""
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)
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strength = gr.Slider(
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minimum=0.0,
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step=0.01,
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value=0.9,
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label="Artistic Freedom",
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info="""
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Controls how much the AI can alter the QR code:
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<p>• Lower (0.0-0.3): Minimal changes, closer to standard QR</p>
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<p>• Middle (0.4-0.7): Balanced artistic elements</p>
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<p>• Higher (0.8-1.0): Maximum creativity, may affect scannability</p>
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<p>Begin with 0.9 for a creative yet functional result.</p>"""
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)
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guidance_scale = gr.Slider(
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minimum=0.0,
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step=0.25,
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value=7.5,
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label="Prompt Adherence",
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info="""
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Determines how closely the AI follows your prompt:
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<p>• Lower (0-5): More AI creativity, less prompt influence</p>
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<p>• Middle (5-15): Balanced between prompt and AI interpretation</p>
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<p>• Higher (15+): Strictly follows prompt, less variation</p>
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<p>Start at 7.5 and adjust based on your desired outcome.</p>"""
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)
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sampler = gr.Dropdown(
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choices=list(SAMPLER_MAP.keys()),
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value="DPM++ Karras SDE",
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label="Image Generation Technique",
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info="""
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Different methods for creating your QR art:
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<p>• DPM++ Karras SDE: Versatile, high-quality results</p>
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<p>• Euler: Sharp, detailed images</p>
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<p>• DDIM: Good for abstract or artistic styles</p>
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<p>Experiment to find what works best for your vision!</p>"""
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)
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seed = gr.Slider(
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minimum=-1,
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step=1,
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value=-1,
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label="Creative Seed",
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info="""
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Controls the randomness in art creation:
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<p>• -1: New, unique creation each time</p>
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<p>• Any other number: Recreates the same image consistently</p>
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<p>Use -1 to explore, or set a specific number to refine a design you like.</p>""",
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randomize=False,
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)
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with gr.Row():
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)
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blocks.queue(max_size=20,api_open=False)
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blocks.launch(share=bool(os.environ.get("SHARE", False)), show_api=True)
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