Version 0.8.6 #1212
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Version 0.8.6 #1212
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kohya-ss
commented
Mar 26, 2024
kohya-ss
commented
- Update PyTorch and dependent libraries
- DeepSpeed
- Masked loss
- Dataset info cache
- Wildcard, multiline, second separator etc. for captions.
- wd14 tagger v3 support
- etc.
…ccelerate settings
support deepspeed
Deep speed
Add masked loss
Add metadata caching for DreamBooth dataset
Add OpenVINO and ROCm ONNX Runtime for WD14
Rating support for WD Tagger
verify command line args if wandb is enabled
…mprove resilience to data corruption (#1228) * add huber loss and huber_c compute to train_util * add reduction modes * add huber_c retrieval from timestep getter * move get timesteps and huber to own function * add conditional loss to all training scripts * add cond loss to train network * add (scheduled) huber_loss to args * fixup twice timesteps getting * PHL-schedule should depend on noise scheduler's num timesteps * *2 multiplier to huber loss cause of 1/2 a^2 conv. The Taylor expansion of sqrt near zero gives 1/2 a^2, which differs from a^2 of the standard MSE loss. This change scales them better against one another * add option for smooth l1 (huber / delta) * unify huber scheduling * add snr huber scheduler --------- Co-authored-by: Kohya S <[email protected]>
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