Commit
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1b5780b
1
Parent(s):
5798e9e
Update app.py
Browse files
app.py
CHANGED
@@ -30,7 +30,7 @@ css = '''
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maximum_concepts = 3
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#Pre download the files
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-
if(
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model_v1 = snapshot_download(repo_id="multimodalart/sd-fine-tunable")
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model_v2 = snapshot_download(repo_id="stabilityai/stable-diffusion-2")
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model_v2_512 = snapshot_download(repo_id="stabilityai/stable-diffusion-2-base")
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@@ -58,7 +58,7 @@ def swap_text(option, base):
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return [f"You are going to train a `style`, upload 10-20 images of the style you are planning on training on. You can use services like <a style='text-decoration: underline' target='_blank' href='https://www.birme.net/?target_width={resize_width}&target_height={resize_width}'>birme</a> for smart cropping. Name the files with the words you would like {mandatory_liability}:", '''<img src="file/trsl_style.png" />''', f"You should name your concept with a unique made up word that has low chance of the model already knowing it (e.g.: `{instance_prompt_example}` here). Images will be automatically cropped to {resize_width}x{resize_width}", freeze_for, gr.update(visible=False)]
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def swap_base_model(selected_model):
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if(
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global model_to_load
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if(selected_model == "v1-5"):
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model_to_load = model_v1
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maximum_concepts = 3
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#Pre download the files
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if(is_gpu_associated):
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model_v1 = snapshot_download(repo_id="multimodalart/sd-fine-tunable")
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model_v2 = snapshot_download(repo_id="stabilityai/stable-diffusion-2")
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model_v2_512 = snapshot_download(repo_id="stabilityai/stable-diffusion-2-base")
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return [f"You are going to train a `style`, upload 10-20 images of the style you are planning on training on. You can use services like <a style='text-decoration: underline' target='_blank' href='https://www.birme.net/?target_width={resize_width}&target_height={resize_width}'>birme</a> for smart cropping. Name the files with the words you would like {mandatory_liability}:", '''<img src="file/trsl_style.png" />''', f"You should name your concept with a unique made up word that has low chance of the model already knowing it (e.g.: `{instance_prompt_example}` here). Images will be automatically cropped to {resize_width}x{resize_width}", freeze_for, gr.update(visible=False)]
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def swap_base_model(selected_model):
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if(is_gpu_associated):
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global model_to_load
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if(selected_model == "v1-5"):
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model_to_load = model_v1
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