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app.py
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@@ -14,11 +14,9 @@ from upsampling import get_pipeline, upscale_image
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import gradio as gr
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from huggingface_hub import login
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login(token='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')
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# HF_TOKEN = os.getenv('HF_TOKEN')
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# hf_api = HfApi(token=HF_TOKEN)
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# fix randomness
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th.manual_seed(0)
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@@ -167,9 +165,10 @@ def decompose_image_demo(im, model):
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def combine_images_demo(im1, im2, model):
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sample_method = 'ddim'
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result = combine_components_slice(MODELS[model], GD[sample_method], im1, im2, indices='1,0,1,0', sample_method=sample_method, num_images=1, device=device)
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result =
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return result
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@@ -200,7 +199,7 @@ MODELS = {
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'CelebA-HQ': celeb_model
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}
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pipe = get_pipeline()
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with gr.Blocks() as demo:
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gr.Markdown(
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@@ -265,7 +264,7 @@ with gr.Blocks() as demo:
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with gr.Column(scale=1):
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comb_output = gr.Image(type='
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comb_button = gr.Button("Generate")
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import gradio as gr
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# from huggingface_hub import login
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# fix randomness
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th.manual_seed(0)
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def combine_images_demo(im1, im2, model):
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sample_method = 'ddim'
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result = combine_components_slice(MODELS[model], GD[sample_method], im1, im2, indices='1,0,1,0', sample_method=sample_method, num_images=1, device=device)
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result = result.permute(1, 2, 0).numpy()
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# result = Image.fromarray(result.permute(1, 2, 0).numpy())
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# if model == 'CelebA-HQ':
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# return upscale_image(result, pipe)
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return result
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'CelebA-HQ': celeb_model
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}
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# pipe = get_pipeline()
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with gr.Blocks() as demo:
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gr.Markdown(
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with gr.Column(scale=1):
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comb_output = gr.Image(type='numpy')
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comb_button = gr.Button("Generate")
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