ltx-2.5-22b-distilled-transformer-nvfp4.safetensors
LTX 2.5 Distilled NVFP4 (Official)
Official NVFP4 quantized distilled transformer — the smallest official 2.5 checkpoint. Native NVFP4 matmul on Blackwell (RTX 50xx); falls back to a slower path on older GPUs. Repo is gated.
Download ltx-2.5-22b-distilled-transformer-nvfp4.safetensors
Official HuggingFace repo — sign in and click "Agree and Access" to accept the LTX 2.5 license before this downloads. 18.72 GB · Free.
No 24GB GPU? Try ltx-2.5-22b-distilled-transformer-nvfp4.safetensors online — free generation included
Skip the 18.72 GB download and ComfyUI setup. Generate a 6-second video using this exact model in your browser, ~30 seconds.
Will this run on my GPU?
Minimum: 24GB VRAM. Headroom up to: 32GB.
⚠ FP8 scaled matmul requires RTX 40-series or newer (Ada Lovelace architecture). RTX 30xx cannot run this format — use the MXFP8 block-32 or BF16 variant instead.
How to use ltx-2.5-22b-distilled-transformer-nvfp4.safetensors
- Download the file from HuggingFace.
- Place it in ComfyUI/models/checkpoints/ inside your ComfyUI directory.
- Restart ComfyUI (or refresh the model list from the menu).
- Load a compatible workflow — see below.
See the LTX 2.5 ComfyUI setup guide for the full file list and install order.
Don't want to run this locally? Try ltx-2.5-22b-distilled-transformer-nvfp4.safetensors online with a free generation — no GPU, no install, ~30 seconds per clip.
ComfyUI says it can't find ltx-2.5-22b-distilled-transformer-nvfp4.safetensors?
Some published workflow JSONs reference this file under a custom subdirectory. If ComfyUI shows a "cannot find model" error and your workflow references one of these path-prefixed variants:
- diffusion_models/ltx-2.5-22b-distilled-transformer-nvfp4.safetensors
The prefix before the slash or backslash is a subdirectory the workflow author used. The actual file is the same ltx-2.5-22b-distilled-transformer-nvfp4.safetensors — you have two fixes:
- Create the matching subdirectory inside ComfyUI/models/checkpoints/ and place the file there. Example: if the workflow references diffusion_models/ltx-2.5-22b-distilled-transformer-nvfp4.safetensors, create the corresponding subfolder under ComfyUI/models/checkpoints/ and put ltx-2.5-22b-distilled-transformer-nvfp4.safetensors inside it.
- Or open the workflow JSON in a text editor and replace the prefixed string with just ltx-2.5-22b-distilled-transformer-nvfp4.safetensors. ComfyUI then resolves it directly from ComfyUI/models/checkpoints/.
On Windows the separator is \, on macOS/Linux it is / — they refer to the same nested folder regardless of platform.
Common issues
ComfyUI doesn't see the file after I downloaded it▼
Make sure the file is in ComfyUI/models/checkpoints/ (not a subfolder). Restart ComfyUI fully — the menu refresh sometimes misses new files. Filename must match exactly: ltx-2.5-22b-distilled-transformer-nvfp4.safetensors.
I get a CUDA error mentioning fp8 / scaled / matmul▼
FP8 scaled matmuls require an RTX 40-series GPU or newer (Ada Lovelace architecture). RTX 30-series and older cannot run FP8 weights at native precision. Use the BF16 variant instead, or the MXFP8 block-32 alternative.
CUDA out of memory error when loading the model▼
ltx-2.5-22b-distilled-transformer-nvfp4.safetensors needs ~24GB VRAM minimum. If you're hitting OOM: • Enable Sequential Offloading in ComfyUI settings • Lower the resolution (768×512 instead of 1280×704) — both dimensions must be divisible by 32 • Reduce frame count (65 frames instead of 161) — must be 8n+1 • Use a smaller variant — see Related models below.
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