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[IMPROVE LORA DATASET LABELING] - Trim labels #16121
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if for some reason the initial loading model at loading phase of webui is corrupted after entering this state the user will not be able to load even a good model is selected, due the the unload_model_weights > send_model_to_cpu > m.lowvram attribute check will fail becaules m is None webui will be stuck in the loop unable to recover without manual intervention
if the sha256 hash does not match it will be automatically deleted
`grid` or `xyz_grid` or `img` ```py 'basename': lambda self: 'img' if self.basename == '' else self.basename, ```
feat: save pattern add `basename`
[Performance] Keep sigmas on CPU
…trace.json .gitignore trace.json
…mpling Add process_before_every_sampling hook
…grid multi size grid
Add option to enable clip skip for clip L on SDXL
…reen-lock feat: Prevent screen sleep during generation
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As per Improve Lora Dataset Labeling, we remove global identifiers from local lora train dataset labels to reduce noise: