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Changelog
The Duskfall Portal Crew edited this page Jun 12, 2026
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All notable changes to this project. Format follows Keep a Changelog.
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SDXL NaN loss (root cause) —
_tokenize_tagsleft overflow/padding chunks with all-False CLIP attention masks.exp(dtype.min)underflows to 0 in bf16/fp32, producing0/0 = NaNin softmax. Fixed by settingones_mask_chunkon three overflow paths instrategy_base.py. -
min_snr_gamma_enabled missing from 4 presets — Illustrious AdamW8bit, Illustrious CAME Conservative, Pony Prodigy, and pony_template predated the
_enabledflag convention. - Custom optimizer crash/corruption bugs — adammini bare param not wrapped in list; dehaze NameError on adaptive_muon path; fmarscrop TypeError; adopt in-place sqrt corruption; laprop alias mutation.
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min_snr_gamma injected on every run — default value of 5.0 caused SNR weighting on every run regardless of intent. Now gated on
min_snr_gamma_enabled. - disable_cross_attn_mask flag not read — argparse flag existed but was never connected to the training loop.
- optimizer_args sent as array instead of string — caused silent arg-parsing failures for custom optimizers.
- README restructured — removed conversational copy, expanded documentation links.
- Tag viewer — Civitai-inspired chip filter UI on the tag editor page
- Stop training button on the training monitor
- WD14 3-way overwrite mode — overwrite / append / ignore
- Live training monitor — step count, loss, learning rate, ETA from tqdm output
- Anima, SDXL, Illustrious, and Pony preset templates
- NoobAI-XL-v1.1 (EPS) added to model browser
- Dev-branch provisioning scripts for VastAI and RunPod
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fetch-restart.sh— full pull + npm install + build + restart - Weight decay auto-injected into
optimizer_argsfor custom optimizers
- CAME NaN (network_train_unet_only default True → False)
- Conservative CAME preset fp16+conv_dim:32 → bf16+conv_dim:0
- Log cursor wrap-around — deque-relative index replaced with absolute counter
- Training log polling — visibility-aware polling with fixed cadence
- Log poller race condition at epoch boundary on tab switch
- ZIP dataset upload — request body piped instead of buffered (fixes ECONNRESET)
- Dataset
tags_presentflag — tag editor now shows status correctly - LoggingCard Radix fix —
log_withuses'none'sentinel instead of empty string - TOML generation path — config written directly to
config/ -
enable_bucketnow respects user config (was hardcoded True) -
network_train_unet_onlyno longer passed in checkpoint training mode - HF upload form — token pre-filled from saved settings
- LoRA resize — removed alpha input field (SVD auto-calculates it)
- Merge/resize subprocesses now have timeouts
- CUDA availability check before
--device cuda - CheckpointTrainingConfig TypeScript type includes SD3.5, Chroma, Anima
- AbortError console noise on navigation suppressed
- Anima presets —
clip_skip: 1,keep_tokens: 1applied across all configs
- shadcn CLI 3.6.1 → 4.7.0
- Next.js 15 → 16 (PR #355, security bump)
- PostCSS CVE-2026-41305 patched
- fast-uri CVE-2026-6322 patched
Initial alpha. Core LoRA training pipeline working end-to-end on VastAI and local NVIDIA GPU.
- Web UI (Next.js 15 + FastAPI) for LoRA training on SDXL, SD1.5, Flux, SD3/SD3.5, Lumina
- Dataset upload, WD14/BLIP/GIT auto-tagging, caption editor
- Training configuration with preset system
- Civitai model browser and HuggingFace upload
- LoRA merge, resize, and checkpoint merge utilities
- VastAI one-click deploy
- Compass, LPFAdamW, RMSProp optimizers are wired but not yet in the UI dropdown
- Rex and CosineAnnealing schedulers vendored but not exposed in UI
- Preset list needs an organization pass
- Flux and SD3 need real-world testing (confirmed working in the backend)