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pixart-900m-1024-ft-v0.6

Text-to-Image
Diffusers
Safetensors
PixArtSigmaPipeline
stable-diffusion
stable-diffusion-diffusers
simpletuner
full
Model card Files Community
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PseudoTerminal X commited on
Commit
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1 Parent(s): 3ba20d5

Trained for 6 epochs and 8000 steps.

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Trained with datasets ['text-embeds-pixart-nofilter', 'photo-concept-bucket']
Learning rate 4e-07, batch size 32, and 2 gradient accumulation steps.
Used DDPM noise scheduler for training with epsilon prediction type and rescaled_betas_zero_snr=False
Using 'linspace' timestep spacing.
Base model: terminusresearch/pixart-900m-1024
VAE: madebyollin/sdxl-vae-fp16-fix

Files changed (7) hide show
  1. README.md +1 -1
  2. optimizer.bin +1 -1
  3. random_states_0.pkl +2 -2
  4. scheduler.bin +1 -1
  5. training_state-photo-concept-bucket.json +2 -2
  6. training_state.json +1 -1
  7. transformer/diffusion_pytorch_model.safetensors +1 -1
README.md CHANGED
@@ -1006,7 +1006,7 @@ You may reuse the base model text encoder for inference.
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  ## Training settings
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  - Training epochs: 6
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- - Training steps: 7500
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  - Learning rate: 4e-07
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  - Effective batch size: 512
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  - Micro-batch size: 32
 
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  ## Training settings
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  - Training epochs: 6
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+ - Training steps: 8000
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  - Learning rate: 4e-07
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  - Effective batch size: 512
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  - Micro-batch size: 32
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