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@@ -72,4 +72,24 @@ images = pipe(
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  images[0].save(f"hug_lab.png")
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  ```
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- ![images_10)](./out_hug_lab_7.png)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  images[0].save(f"hug_lab.png")
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  ```
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+ ![images_10)](./out_hug_lab_7.png)
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+
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+ ### Training
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+
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+ #### Training data
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+ This checkpoint was first trained for 20,000 steps on laion 6a resized to a max minimum dimension of 384.
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+ It was then further trained for 20,000 steps on laion 6a resized to a max minimum dimension of 1024 and
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+ then filtered to contain only minimum 1024 images. We found the further high resolution finetuning was
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+ necessary for image quality.
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+
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+ #### Compute
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+ one 8xA100 machine
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+
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+ #### Batch size
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+ Data parallel with a single gpu batch size of 8 for a total batch size of 64.
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+
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+ #### Hyper Parameters
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+ Constant learning rate of 1e-4 scaled by batch size for total learning rate of 64e-4
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+
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+ #### Mixed precision
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+ fp16