Version 0.10.2

What's Changed

• Fix bug and optimization for Lumina model by @duongve13112002 in #2262
• fix: str is not "no" to str != "no" by @kohya-ss in #2267
• merge sd3 to main by @kohya-ss in #2268
• Fix the LoRA dropout issue in the Anima model and implement support for network_reg_alphas during LoRA training. by @duongve13112002 in #2272
• Multi-resolution dataset for SD1/SDXL by @woct0rdho in #2269
• feat: Stability with fp16 for anima by @kohya-ss in #2277
• feat: backward compatibility for SD/SDXL latent cache by @kohya-ss in #2276
• feat: Support LoKr/LoHa for SDXL and Anima by @kohya-ss in #2275
• fix: rename character_tags to img_character_tags to fix UnboundLocalError by @kohya-ss in #2280
• Add skip_image_resolution to deduplicate multi-resolution dataset by @woct0rdho in #2273
• docs: add skip_image_resolution to config README by @kohya-ss in #2288
• Bump pytorch-optimizer into 3.10.0 by @kozistr in #2283
• fix: Anima validation dataset not working with Text Encoder output cache by @kohya-ss in #2291
• Log d*eff_lr for ProdigyPlusScheduleFree, and some cleanup of LR logging by @woct0rdho in #2289
• Use torch.svd_lowrank for large matrices in resize_lora.py by @woct0rdho in #2240
• Fix the 'off by 1' problem in dynamically resized LoRA rank by @woct0rdho in #2194
• Add --svd_lowrank_niter option to resize_lora.py by @kohya-ss in #2296
• feat: SD1.x/2.x と SDXL 向けの LECO 学習スクリプトを追加 by @umisetokikaze in #2285
• Fix/leco cleanup by @kohya-ss in #2294
• fix: AdaLN modulation to use float32 for numerical stability in fp16 by @kohya-ss in #2297
• Improve clarity of README table of contents and change history by @kohya-ss in #2299
• doc: update change history in README files to include LECO training by @kohya-ss in #2300
• Print verbose info while resizing LoRA is running by @woct0rdho in #2301
• Merge development changes into main by @kohya-ss in #2298

New Contributors

• @umisetokikaze made their first contribution in #2285

Full Changelog: v0.10.1...v0.10.2