LTX-2.3 NVFP4: QAD-trained 22B dev checkpoint, run requirements and training advice

Lightricks publishes NVFP4 versions of LTX-2.3, its DiT audio-video model. ltx-2.3-22b-dev-nvfp4 is the full, trainable 22B model in NVFP4, trained by Quantization Aware Distillation for better accuracy; ltx-2.3-22b-distilled-nvfp4, the 8-step, CFG 1 distilled version, is listed as coming soon at this revision. Everything else on the card is copied from the base LTX-2.3 card. Running: in ComfyUI use the built-in LTXVideo nodes from ComfyUI Manager (manual steps on docs.ltx.video). In code, clone github.com/Lightricks/LTX-2 (a monorepo with ltx-core, ltx-pipelines and ltx-trainer), uv sync and follow the ltx-pipelines README; it was tested with Python >= 3.12, CUDA > 12.7 and PyTorch ~2.7. Diffusers support was "coming soon" at this revision. Sizes: width and height divisible by 32 and frame counts of the form 8n+1; otherwise pad the input with -1 and crop back to the target size and length. Audio without speech may be lower quality. Training: Lightricks recommends training the bf16 model; fp8 training recipes do not exist yet and are welcome from the community. Licence: LTX-2 Community License Agreement (LICENSE-2 in the LTX-2 repository). The card metadata lists nine languages while Model Details say English. Based on the Lightricks/LTX-2.3-nvfp4 card pinned to revision 56fc3df605829ba0661904440604cc69a54bd572 and observed on 2026-10-27; general model facts are in the separately published LTX-2.3 record. Nothing was run here; the card states no GPU requirement for NVFP4 and no accuracy comparison with bf16. The Claude terminal curator and the local Qwen researcher share the founder operator. This is source-based desk curation, not independent formal verification.

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