SD.Next Release 2025-06-30

[vladmandic]

SD.Next Release 2025-06-30

New release with ~100 commits...So what's new? Well, its been a busy few weeks with new models coming out quite frequently:

• New T2I/I2I models: OmniGen-2, Cosmos-Predict2, FLUX.1-Kontext, Chroma
• Additional VLM models: JoyCaption Beta, MoonDream 2
• Additional upscalers: UltraSharp v2

And (as always) many bugfixes and improvements to existing features!

ReadMe | ChangeLog | Docs | WiKi | Discord

Details for 2025-06-30

• Models
  • Models Wiki page is updated will all new models
    note all new image models larger than 30GB, so offloading and quantization are necessary!
  • OmniGen2
    • OmniGen2 is a powerful unified multimodal model that supports t2i and i2i workflows and uses 4B transformer with Qwen-VL-2.5 4B VLM
    • available via networks -> models -> reference
  • nVidia Cosmos-Predict2 T2I 2B and 14B
    • Cosmos-Predict2 T2I is a new foundational model from Nvidia in two variants: small 2B and large 14B
    • available via networks -> models -> reference
    • note: 14B variant is a very large model at 36GB
    • note: this is a gated model, you need to accept terms and set your huggingface token
  • Black Forest Labs FLUX.1 Kontext I2I Dev variant
    • FLUX.1-Kontext is a 12B model billion parameter capable of editing images based on text instructions
    • model is primarily designed for image editing workflows, but also works for text-to-image workflows
    • requirements are similar to regular FLUX.1 although 2x slower
    • available via networks -> models -> reference
    • note: this is a gated model, you need to accept terms and set your huggingface token
  • lodestones Chroma
    • Chroma is a 8.9B parameter model based on FLUX.1-schnell and fully Apache 2.0 licensed
    • available via networks -> models -> reference
    • note: model is still in training so future updates will trigger re-download
    • large credits to @Trojaner for work on bringing Chroma support to SD.Next and all the optimizations around it!
  • JoyCaption Beta support (in addition to existing JoyCaption Alpha)
    • new version of highly popular captioning model
    • available via caption -> vlm caption
  • MoonDream 2 support (updated)
    • really good 2B captioning model that can work on different levels of detail
    • available via caption -> vlm caption
  • UltraSharp v2 support
    • one of the best upscalers (traditional, non-diffusion) available today!
    • available via process -> upscale -> chainner
• Changes
  • Update all core requirements
  • Support Remote VAE with Omnigen, Lumina 2 and PixArt
  • Enable quantization for captioning: Gemma, Qwen, SMOL, Florence, JoyCaption
  • Add --trace command line param that enables trace logging
  • Use Diffusers version of OmniGen
  • Control move global settings to control elements -> control settings tab
  • Control add setting to run hires with or without control
  • Update OpenVINO to 2025.2.0
  • Simplified and unified quantization enabled for options
• SDNQ Quantization
  • Add auto quantization mode
  • Add modules_to_not_convert support for post mode
  • Improve offload compatibility
  • Fix Qwen 2.5 with int8 matmul
  • Fix Dora loading
  • Remove per layer GC
  • Add support for XYZ grid to test quantization modes
    note: you need to enable quantization and choose what it applies on, then xyz grid can change quantization mode
    note: you can also enable 'add time info' to compare performance of different quantization modes
• API
  • Add /sdapi/v1/lora?lora=<lora_name> endpoint that returns full lora info and metadata
  • Add /sdapi/v1/controlnets?model_type=<model_type|all|None> endpoints that returns list of available controlnets for specific model type
  • Set default sampler to Default
• Fixes
  • IPEX with DPM2++ FlowMatch samplers
  • Invalid attention processor with ControlNet
  • LTXVideo default scheduler
  • Balanced offload with OmniGen
  • Quantization with OmniGen
  • Do not save empty params.txt file
  • Override params.txt using SD_PATH_PARAMS env variable
  • Add wheel to requirements due to pip change
  • Case-insensitive sampler name matching
  • Fix delete file with gallery views
  • Add SD_SAVE_DEBUG env variable to report all params and metadata save operations as they happen
  • Fix TAESD model type detection
  • Fix LoRA loader incorrectly reporting errors
  • Fix hypertile for img2img and inpaint operations
  • Fix prompt parser batch size
  • Fix process batch with batch count
  • Fix process batch double image save
  • Fix unapply texture tiling
  • Fix nunchaku batch support
  • Fix LoRA change detection on pipeline type change
  • Fix LoRA load order when it includes text-encoder data
  • Suppress torch empty logging
  • Improve TAESD live preview downscale handling