PseudoTerminal X
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Trained for 1 epochs and 9800 steps.
Browse filesTrained with datasets ['text-embeds-sdxl-nofilter', 'photo-concept-bucket']
Learning rate 4e-07, batch size 32, and 2 gradient accumulation steps.
Used DDPM noise scheduler for training with v_prediction prediction type and rescaled_betas_zero_snr=True
Using 'trailing' timestep spacing.
Base model: ptx0/terminus-xl-velocity-v2
VAE: madebyollin/sdxl-vae-fp16-fix
- README.md +2 -2
- optimizer.bin +1 -1
- random_states_0.pkl +2 -2
- scheduler.bin +1 -1
- training_state-photo-concept-bucket.json +2 -2
- training_state.json +1 -1
- unet/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: 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: 1
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- Training steps: 9800
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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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optimizer.bin
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random_states_0.pkl
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scheduler.bin
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training_state-photo-concept-bucket.json
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training_state.json
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{"global_step":
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{"global_step": 9800, "epoch_step": 200, "epoch": 2, "exhausted_backends": [], "repeats": {"celebrities": 0, "pixel-art": 0, "movieposters": 0, "moviecollection": 0, "training-test": 0, "dalle3": 0, "photo-concept-bucket": 0}}
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unet/diffusion_pytorch_model.safetensors
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