- Add detailed hints explaining LoRA fuse behavior and model reload warning
- Add hints for force reload, diffusers fuse, and quantization precision options
- Improve clarity of auto-apply tags and hash metadata hints
- Comment out unimplemented lora_quant setting
- Add Transformers v5 tokenizer compatibility fix for SDNQ Klein models
Downloads missing vocab.json, merges.txt, tokenizer_config.json from
Z-Image-Turbo when needed
- Detect SDNQ repos and disable shared text encoder to use pre-quantized
weights from the SDNQ repo instead of loading from shared base model
- Update reference-quant.json with correct preview images and metadata
for Klein SDNQ models
- Update reference-distilled.json with correct cfg_scale (1.0) for
distilled Klein models per official HuggingFace documentation
- Add 6 Klein model preview images
Change "Images folder" and "Grids folder" settings to act as base paths
that combine with specific folder settings, rather than replacing them.
- Add resolve_output_path() helper function to modules/paths.py
- Update all output path usages to use combined base + specific paths
- Update gallery API to return resolved paths with display labels
- Update gallery UI to show short labels with full path on hover
Example: If base is "C:\Database\" and specific is "outputs/text",
the resolved path becomes "C:\Database\outputs\text"
Edge cases handled:
- Empty base path: uses specific path directly (backward compatible)
- Absolute specific path: ignores base path
- Empty specific path: uses base path only
- Fix Klein text encoder comment to specify correct sizes per variant
- Lock TAESD decode logging behind SD_PREVIEW_DEBUG env var
- Fix misleading comment about FLUX.2 128-channel reshape (is fallback)
- Remove VRAM requirements from model descriptions in reference files
Enable live preview during FLUX.2 and FLUX.2 Klein image generation
using the TAE FLUX.2 decoder from madebyollin/taesd.
- Add dedicated TAE entries (FLUX.1, FLUX.2, SD3) that auto-select
based on model type, making the dropdown only affect SD/SDXL models
- Add FLUX.2 latent unpacking in callback to convert packed
[B, seq_len, 128] format to spatial [B, 32, H, W] for preview
- Support FLUX.2's 32 latent channels (vs 16 for FLUX.1/SD3)
Add support for FLUX.2 Klein distilled models (4B and 9B variants):
- Add pipeline loader for Flux2KleinPipeline
- Add model detection for 'flux.2' + 'klein' patterns
- Add pipeline mapping in shared_items
- Add shared Qwen3ForCausalLM text encoder handling:
- 4B variants use Z-Image-Turbo's Qwen3-8B
- 9B variants use FLUX.2-klein-9B's Qwen3-14B
- Add reference entries for distilled (4B, 9B) and base models
- Update diffusers commit for Flux2KleinPipeline support
vladmandic
CalamitousFelicitousness
Oleksandr Liutyi
awsr