SD.Next Release 2026-01-20

[vladmandic]

SD.Next Release 2026-01-20

First release of 2026 brings quite a few new models: Flux.2-Klein, Qwen-Image-2512, LTX-2-Dev, GLM-Image
There are also improvements to SDNQ quantization engine, updated Prompt Enhance, Image Preview and many others.
Plus some significant under-the-hood changes to improve code coverage and quality which resulted in more than usual levels of bug-fixes and some ~330 commits!
For full list of changes, see full changelog.

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Details for 2026-01-20

• Models
  • Flux.2 Klein
    Flux.2-Klein is a new family of compact models from BFL in 4B and 9B sizes and avaialable as destilled and base variants
    also includes are sdnq prequantized variants
    note: 9B variant is gated
  • Qwen-Image-2512
    Qwen-Image successor, significantly reduces the AI-generated look and adds finer natural detailils and improved text rendering
    available in both original, sdnq-svd prequantized and sdnq-dynamic prequantized variants
    thanks @CalamitousFelicitousness
  • LTX-2 19B Dev
    LTX-2 is a new very large 19B parameter video generation model from Lightricks using Gemma-3 text encoder
    available for T2I/I2I workflows in original and sdnq prequantized variants
    note: model is very sensitive to input params and will result in errors otherwise
  • GLM-Image
    GLM-image is a new image generation model that adopts a hybrid autoregressive with diffusion decoder architecture
    available in both original and sdnq-dynamic prequantized variants
    thanks @CalamitousFelicitousness
    note: model requires pre-release versions of transformers package:

    pip install --upgrade git+https://github.com/huggingface/transformers.git
    ./webui.sh --experimental

  • Nunchaku Z-Image Turbo
    nunchaku optimized z-image turbo
• Feaures
  • SDNQ: add dynamic quantization method
    sdnq can dynamically determine best quantization method for each module layer
    slower to quantize on-the-fly, but results in better quality with minimal resource usage
  • SDNQ now has 19 int based and 69 float based quantization types
    note: not all are exposed via ui purely for simplicity, but all are available via api and scripts
  • wildcards: allow weights, thanks @Tillerz
  • sampler: add laplace beta schedule
    results in better prompt adherence and smoother infills
  • prompt enhance: improve handling and refresh ui, thanks @CalamitousFelicitousness
    new models such moondream-3 and xiaomo-mimo
    add support for thinking mode where model can reason about the prompt
    add support for vision processing where prompt enhance can also optionally analyze input image
    add support for pre-fill mode where prompt enhance can continue from existing caption
  • chroma: add inpaint pipeline support
  • taesd preview: support for more models, thanks @alerikaisattera
  • image ouput paths: better handling of relative/absolute paths, thanks @CalamitousFelicitousness
• UI
  • kanvas add send-to functionality
  • kanvas improve support for standardui
  • improve extensions tab layout and behavior, thanks @awsr
  • indicate collapsed/hidden sections
  • persistent panel minimize/maximize state
  • gallery improve sorting behavior
  • gallery implement prev/next navigation in full screen viewer, thanks @ryanmeador
• Internal
  • lora native support by default will now skip text-encoder
    can be enabled in settings -> networks
  • update core js linting to eslint9, thanks @awsr
  • update modernui js linting to eslint9, thanks @awsr
  • update kanvas js linting to eslint9, thanks @awsr
  • update strong typing checks, thanks @awsr
  • update reference models previews, thanks @liutyi
  • update models specs page, thanks @alerikaisattera
  • sdnq improvements
  • startup sequence optimizations
  • rocm/hip/hipblast detection and initialization improvements
  • zluda detection and initialization improvements
  • new env variable SD_VAE_DEFAULT to force default vae processing
  • update nunchaku==1.1.0
  • lora switch logic from force-diffusers to allow-native
  • split reference.json
  • print system env on startup
  • disable fallback on models with custom loaders
  • refactor triggering of prompt parser and set secondary prompts when needed
  • refactor handling of seeds
  • allow unsafe ssl context for downloads
• Fixes
  • controlnet: controlnet with non-english ui locales
  • core: add skip_keys to offloading logic, fixes wan frames mismatch, thanks @ryanmeador
  • core: force model move on offload=none
  • core: hidiffusion tracing
  • core: hip device name detection
  • core: reduce triton test verbosity
  • core: switch processing class not restoring params
  • extension tab: update checker, date handling, formatting etc., thanks @awsr
  • lora force unapply on change
  • lora handle null description, thanks @CalamitousFelicitousness
  • lora loading when using torch without distributed support
  • lora skip with strength zero
  • lora: generate slowdown when consequtive lora-diffusers enabled
  • model: google-genai auth, thanks @CalamitousFelicitousness
  • model: improve qwen i2i handling
  • model: kandinsky-5 image and video on non-cuda platforms
  • model: meituan-longca-image-edit missing image param
  • model: wan 2.2 i2v
  • model: z-image single-file loader
  • other: update civitai base models, thanks @Trojaner
  • ui: gallery save/delete
  • ui: mobile auto-collapse when using side panel, thanks @awsr
  • ui: networks filter by model type
  • ui: networks icon/list view type switch, thanks @awsr
  • vae: force align width/height to vae scale factor
  • wildards with folder specification