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AlekseyCalvin
commited on
Commit
•
c20cc09
1
Parent(s):
245ff1f
Update app.py
Browse files
app.py
CHANGED
@@ -14,7 +14,7 @@ with open('loras.json', 'r') as f:
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loras = json.load(f)
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# Initialize the base model
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base_model = "
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pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
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MAX_SEED = 2**32-1
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@@ -146,7 +146,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as app:
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with gr.Accordion("Advanced Settings", open=True):
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with gr.Column():
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with gr.Row():
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cfg_scale = gr.Slider(label="CFG Scale", minimum=
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steps = gr.Slider(label="Steps", minimum=1, maximum=50, step=1, value=6)
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with gr.Row():
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@@ -156,7 +156,7 @@ with gr.Blocks(theme=gr.themes.Soft(), css=css) as app:
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with gr.Row():
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randomize_seed = gr.Checkbox(True, label="Randomize seed")
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seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0, randomize=True)
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lora_scale = gr.Slider(label="LoRA Scale", minimum=0, maximum=1, step=0.01, value=0.95)
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gallery.select(
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update_selection,
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loras = json.load(f)
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# Initialize the base model
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base_model = "AlekseyCalvin/HistoricColorSoonr_Schnell"
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pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
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MAX_SEED = 2**32-1
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with gr.Accordion("Advanced Settings", open=True):
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with gr.Column():
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with gr.Row():
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cfg_scale = gr.Slider(label="CFG Scale", minimum=0, maximum=20, step=.5, value=1.5)
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steps = gr.Slider(label="Steps", minimum=1, maximum=50, step=1, value=6)
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with gr.Row():
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with gr.Row():
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randomize_seed = gr.Checkbox(True, label="Randomize seed")
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seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0, randomize=True)
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lora_scale = gr.Slider(label="LoRA Scale", minimum=0, maximum=1.6, step=0.01, value=0.95)
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gallery.select(
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update_selection,
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