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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
3
PseudoTerminal X commited on
Commit
8984297
•
1 Parent(s): 0515f2d

Trained for 1 epochs and 45000 steps.

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Trained with datasets ['text-embeds-pixart-filter', 'photo-concept-bucket', 'moviecollection', 'experimental', 'ethnic', 'sports', 'architecture', 'shutterstock', 'cinemamix-1mp', 'nsfw-1024', 'anatomy', 'bg20k-1024', 'yoga', 'photo-aesthetics', 'text-1mp', 'movieposters', 'normalnudes', 'pixel-art', 'signs', 'midjourney-v6-520k-raw', 'sfwbooru', 'nijijourney-v6-520k-raw', 'dalle3']
Learning rate 1e-06, batch size 24, 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-large
VAE: madebyollin/sdxl-vae-fp16-fix

Files changed (9) hide show
  1. README.md +1 -1
  2. optimizer.bin +1 -1
  3. random_states_0.pkl +1 -1
  4. scheduler.bin +1 -1
  5. training_state-dalle3.json +2 -2
  6. training_state-photo-concept-bucket.json +2 -2
  7. training_state-text-1mp.json +0 -0
  8. training_state.json +1 -1
  9. transformer/diffusion_pytorch_model.safetensors +1 -1
README.md CHANGED
@@ -62,7 +62,7 @@ You may reuse the base model text encoder for inference.
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  ## Training settings
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  - Training epochs: 1
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- - Training steps: 44500
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  - Learning rate: 1e-06
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  - Effective batch size: 192
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  - Micro-batch size: 24
 
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  ## Training settings
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  - Training epochs: 1
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+ - Training steps: 45000
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  - Learning rate: 1e-06
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  - Effective batch size: 192
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  - Micro-batch size: 24
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