feat: Add support for Safetensors format in caching strategies#2290
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feat: Add support for Safetensors format in caching strategies#2290
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- Introduced Safetensors output format for various caching strategies including Hunyuan, Lumina, SD, SDXL, and SD3. - Updated methods to handle loading and saving of tensors in Safetensors format. - Enhanced output validation to check for required tensors in both NPZ and Safetensors formats. - Modified dataset argument parser to include `--cache_format` option for selecting between NPZ and Safetensors formats. - Updated caching logic to accommodate partial loading and merging of existing Safetensors files.
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… support Merges kohya-ss#2290 (safetensors cache format) and resolves conflicts with multi-caption caching feature. Both features now work together in all 6 model strategies: - load_outputs_npz(): safetensors/npz branch + ndim-based multi-caption random selection applied after loading from either format - cache_batch_outputs(): per-image loop (multi-caption) with safetensors/npz format branching for disk cache - _save_outputs_safetensors(): per-image safetensors save with stacked arrays support for multi-caption Affected strategies: Lumina, Flux, Anima, SDXL, SD3, HunyuanImage Also includes PR kohya-ss#2290 changes to strategy_base.py, strategy_sd.py, train_util.py, and tools/*. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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--cache_formatoption for selecting between NPZ and Safetensors formats.