Trained for 4 epochs and 4500 steps.
Browse filesTrained with datasets ['text-embeds', 'mj-v6']
Learning rate 8e-06, batch size 32, and 4 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: PixArt-alpha/PixArt-Sigma-XL-2-1024-MS
VAE: madebyollin/sdxl-vae-fp16-fix
- README.md +2 -2
- optimizer.bin +1 -1
- random_states_0.pkl +1 -1
- scheduler.bin +1 -1
- training_state-mj-v6.json +2 -2
- training_state.json +1 -1
- transformer/diffusion_pytorch_model.safetensors +1 -1
README.md
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## Training settings
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- Training epochs:
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- Training steps:
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- Learning rate: 8e-06
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- Effective batch size: 128
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- Micro-batch size: 32
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## Training settings
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- Training epochs: 4
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- Training steps: 4500
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- Learning rate: 8e-06
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- Effective batch size: 128
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- Micro-batch size: 32
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optimizer.bin
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scheduler.bin
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training_state.json
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{"global_step":
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{"global_step": 4500, "epoch_step": 57, "epoch": 5, "exhausted_backends": [], "repeats": {"mj-v6": 0}}
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