Update
Browse files- app_inference.py +1 -1
- app_training.py +1 -1
app_inference.py
CHANGED
@@ -122,7 +122,7 @@ def create_inference_demo(pipe: InferencePipeline,
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gr.Markdown('''
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- After training, you can press "Reload Model List" button to load your trained model names.
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- It takes a few minutes to download model first.
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-
- Expected time to generate an 8-frame video:
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''')
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with gr.Column():
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result = gr.Video(label='Result')
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gr.Markdown('''
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- After training, you can press "Reload Model List" button to load your trained model names.
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- It takes a few minutes to download model first.
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+
- Expected time to generate an 8-frame video: 70 seconds with T4, 24 seconds with A10G, (10 seconds with A100)
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''')
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with gr.Column():
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result = gr.Video(label='Result')
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app_training.py
CHANGED
@@ -87,7 +87,7 @@ def create_training_demo(trainer: Trainer,
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gr.Markdown('''
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- The base model must be a model that is compatible with [diffusers](https://github.com/huggingface/diffusers) library.
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- It takes a few minutes to download the base model first.
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-
- Expected time to train a model for 300 steps:
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- It takes a few minutes to upload your trained model.
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- You may want to try a small number of steps first, like 1, to see if everything works fine in your environment.
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- You can check the training status by pressing the "Open logs" button if you are running this on your Space.
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gr.Markdown('''
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- The base model must be a model that is compatible with [diffusers](https://github.com/huggingface/diffusers) library.
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- It takes a few minutes to download the base model first.
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+
- Expected time to train a model for 300 steps: 20 minutes with T4, 8 minutes with A10G, (4 minutes with A100)
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- It takes a few minutes to upload your trained model.
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- You may want to try a small number of steps first, like 1, to see if everything works fine in your environment.
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- You can check the training status by pressing the "Open logs" button if you are running this on your Space.
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