The ref2va checkpoint partition conditions on reference images instead
of keyframes, so it gets its own registry row and reference card, and
the video core marshals PIL images into task_args as
MiniMaxH3ImageReference. Images are converted to RGB first, since the
reference encoder reads the array raw. The keyframe path is unchanged.
Validation runs before the model load in one funnel shared by the tab
and the API, so a rejected request costs nothing: references on a
non-reference model, a reference model with nothing to condition on,
more than nine images, non-images, and aspect outside 1:4 to 4:1 all
return 400. The image path rejects a reference pipe without references
instead of reaching a transformer that was never loaded.
The modular override forces Default instead of the None sentinel:
Default restores the model's own scheduler, which is the bespoke pair.
The reference entries request sampler: Default to match.
Reference entries for the bf16 repo and the sdnq uint4 quant load the
modular pipeline through the standard dispatch. Image tabs run the
model in still mode with audio off; the video tab keeps its own
overrides through the shared per-generation hook. Detailer is not
supported and is disabled with a warning.
Add the official Anima 1.0 Aesthetic and Turbo releases in diffusers
format. The previous turbo entry pointed at an unofficial build (base
with a fused community turbo lora); the official distilled checkpoint
replaces it.
- reference-base.json: add anima 1.0 aesthetic
- reference-distilled.json: point anima 1.0 turbo at the official v1.0
- add reference previews, remove the replaced turbo preview
Switch to neg-anchored guidance gated on > 1 so cfg 1.0 means no CFG, matching SD3/SDXL/Flux. Default guidance_scale 1.0; reference cfg Turbo 1.0, Base 4.5.
Krea 2 is a 12.9B single-stream flow-matching DiT trained from scratch, using a Qwen3-VL-4B text encoder and the Qwen-Image VAE. The transformer is vendored as a diffusers ModelMixin whose module tree mirrors the checkpoint, so weights load with no key conversion; the pipeline ports the reference encode, flow-matching denoise, and VAE decode. The text encoder is shared at runtime via the existing dedup registry, so Base and Turbo reuse one Qwen3-VL-4B copy.
Covers text-to-image, image-to-image, native LoRA, and the single-file UNET override. Also completes SD.Next's partial Qwen-Image VAE support (5D decode input and TAESD preview mapping) that K2 shares.
Diffusers-native port of the 9.3B flow-matching DiT: dual-transformer asymmetric CFG, a 13-layer Qwen3-VL tap encoder deduped with VQA and prompt-enhance, the Flux.2 VAE, and a logit-normal schedule. Loads a published bf16 repo with SDNQ at load.
Vladimir Mandic
Oleksandr Liutyi
CalamitousFelicitousness
resonantsky
resonantsky