Update app.py
Browse files
app.py
CHANGED
@@ -6,7 +6,7 @@ from diffusers import DiffusionPipeline
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import torch
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device = "cuda" if torch.cuda.is_available() else "cpu"
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model_repo_id = "
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if torch.cuda.is_available():
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torch_dtype = torch.float16
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@@ -101,7 +101,7 @@ with gr.Blocks(css=css) as demo:
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minimum=256,
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maximum=MAX_IMAGE_SIZE,
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step=32,
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value=512,
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)
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height = gr.Slider(
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@@ -109,7 +109,7 @@ with gr.Blocks(css=css) as demo:
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minimum=256,
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maximum=MAX_IMAGE_SIZE,
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step=32,
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value=512,
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)
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with gr.Row():
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@@ -118,7 +118,7 @@ with gr.Blocks(css=css) as demo:
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minimum=0.0,
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maximum=10.0,
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step=0.1,
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value=7.5,
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)
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num_inference_steps = gr.Slider(
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@@ -126,7 +126,7 @@ with gr.Blocks(css=css) as demo:
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minimum=1,
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maximum=50,
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step=1,
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value=25,
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)
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gr.Examples(examples=examples, inputs=[prompt])
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import torch
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device = "cuda" if torch.cuda.is_available() else "cpu"
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model_repo_id = "fofr/sdxl-emoji"
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if torch.cuda.is_available():
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torch_dtype = torch.float16
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minimum=256,
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maximum=MAX_IMAGE_SIZE,
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step=32,
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value=512,
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)
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height = gr.Slider(
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minimum=256,
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maximum=MAX_IMAGE_SIZE,
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step=32,
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value=512,
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)
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with gr.Row():
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minimum=0.0,
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maximum=10.0,
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step=0.1,
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value=7.5,
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)
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num_inference_steps = gr.Slider(
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minimum=1,
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maximum=50,
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step=1,
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value=25,
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)
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gr.Examples(examples=examples, inputs=[prompt])
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