PseudoTerminal X commited on
Commit
835a4a8
1 Parent(s): 2f9d698

Trained for 0 epochs and 4500 steps.

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Trained with datasets ['text-embeds-sd3-nofilter', 'photo-concept-bucket', 'dalle3']
Learning rate 1e-06, batch size 6, and 2 gradient accumulation steps.
Used DDPM noise scheduler for training with epsilon prediction type and rescaled_betas_zero_snr=False
Using 'trailing' timestep spacing.
Base model: stabilityai/stable-diffusion-3-medium-diffusers
VAE: None

README.md CHANGED
@@ -1164,7 +1164,7 @@ You may reuse the base model text encoder for inference.
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  ## Training settings
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  - Training epochs: 0
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- - Training steps: 4000
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  - Learning rate: 1e-06
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  - Effective batch size: 96
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  - Micro-batch size: 6
@@ -1182,7 +1182,7 @@ You may reuse the base model text encoder for inference.
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  ### photo-concept-bucket
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  - Repeats: 0
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  - Total number of images: ~557568
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- - Total number of aspect buckets: 3
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  - Resolution: 1.0 megapixels
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  - Cropped: False
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  - Crop style: None
 
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  ## Training settings
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  - Training epochs: 0
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+ - Training steps: 4500
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  - Learning rate: 1e-06
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  - Effective batch size: 96
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  - Micro-batch size: 6
 
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  ### photo-concept-bucket
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  - Repeats: 0
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  - Total number of images: ~557568
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+ - Total number of aspect buckets: 2
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  - Resolution: 1.0 megapixels
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  - Cropped: False
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  - Crop style: None
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