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pixart-900m-1024-ft-v0.7-stage1

Text-to-Image
Diffusers
Safetensors
PixArtSigmaPipeline
stable-diffusion
stable-diffusion-diffusers
simpletuner
full
Model card Files Community
PseudoTerminal X commited on
Commit
23e7239
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1 Parent(s): 6489c33

Trained for 5 epochs and 174000 steps.

Browse files

Trained with datasets ['text-embeds', 'text-embeds-extra', 'image-embeds', 'sports', 'mj-60', 'id-75k', 'celebrities', 'normalnudes', 'guys', 'signs', 'dalle3', 'sfwbooru', 'moviecollection', 'bookcovers', 'nijijourney', 'experimental', 'ethnic', 'gay', 'architecture', 'shutterstock', 'midjourney-v6-520k-raw', 'nijijourney-v6-520k-raw', 'cinemamix-1mp', 'nsfw-1024', 'anatomy', 'bg20k-1024', 'yoga', 'photo-aesthetics', 'text-1mp']
Learning rate 1e-06, batch size 8, and 1 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: ptx0/pixart-900m-1024-ft-v0.7-stage1
VAE: ptx0/pixart-900m-1024-ft-v0.7-stage1

Files changed (18) 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-anatomy.json +0 -0
  6. training_state-bg20k-1024.json +0 -0
  7. training_state-dalle3.json +2 -2
  8. training_state-id-75k.json +0 -0
  9. training_state-midjourney-v6-520k-raw.json +2 -2
  10. training_state-mj-60.json +0 -0
  11. training_state-nijijourney-v6-520k-raw.json +2 -2
  12. training_state-nsfw-1024.json +0 -0
  13. training_state-photo-aesthetics.json +0 -0
  14. training_state-sfwbooru.json +0 -0
  15. training_state-shutterstock.json +0 -0
  16. training_state-text-1mp.json +0 -0
  17. training_state.json +1 -1
  18. transformer/diffusion_pytorch_model.safetensors +1 -1
README.md CHANGED
@@ -552,7 +552,7 @@ You may reuse the base model text encoder for inference.
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  ## Training settings
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  - Training epochs: 5
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- - Training steps: 173000
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  - Learning rate: 1e-06
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  - Effective batch size: 64
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  - Micro-batch size: 8
 
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  ## Training settings
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  - Training epochs: 5
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+ - Training steps: 174000
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  - Learning rate: 1e-06
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  - Effective batch size: 64
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  - Micro-batch size: 8
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training_state-sfwbooru.json CHANGED
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training_state-text-1mp.json CHANGED
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training_state.json CHANGED
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