Official42.02 GB32GB+ VRAMfull🔒 Gated — HF login required

ltx-2.5-22b-dev-transformer-bf16.safetensors

LTX 2.5 Dev BF16 (Official)

Official full-precision BF16 dev transformer for LTX 2.5. Source weights every quantized 2.5 variant derives from. Requires 48GB VRAM or sequential offloading on 32GB. Repo is gated — sign in to HuggingFace and accept the license before downloading.

Download ltx-2.5-22b-dev-transformer-bf16.safetensors

Official HuggingFace repo — sign in and click "Agree and Access" to accept the LTX 2.5 license before this downloads. 42.02 GB · Free.

Install path: ComfyUI/models/checkpoints/ + ltx-2.5-22b-dev-transformer-bf16.safetensors

No 32GB GPU? Try ltx-2.5-22b-dev-transformer-bf16.safetensors online — free generation included

Skip the 42.02 GB download and ComfyUI setup. Generate a 6-second video using this exact model in your browser, ~30 seconds.

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Will this run on my GPU?

Minimum: 32GB VRAM.

GPUVRAMVerdict
RTX 3060 12GB12GBInsufficient VRAM
RTX 4060 Ti / 4070 (16GB)16GBInsufficient VRAM
RTX 4070 Ti SUPER / 4080 (16GB)16GBInsufficient VRAM
RTX 3090 (24GB)24GBInsufficient VRAM
RTX 4090 (24GB)24GBInsufficient VRAM
RTX 5090 / A6000 (32GB+)32GBTight fit

How to use ltx-2.5-22b-dev-transformer-bf16.safetensors

  1. Download the file from HuggingFace.
  2. Place it in ComfyUI/models/checkpoints/ inside your ComfyUI directory.
  3. Restart ComfyUI (or refresh the model list from the menu).
  4. 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-dev-transformer-bf16.safetensors online with a free generation — no GPU, no install, ~30 seconds per clip.

ComfyUI says it can't find ltx-2.5-22b-dev-transformer-bf16.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-dev-transformer-bf16.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-dev-transformer-bf16.safetensors — you have two fixes:

  1. Create the matching subdirectory inside ComfyUI/models/checkpoints/ and place the file there. Example: if the workflow references diffusion_models/ltx-2.5-22b-dev-transformer-bf16.safetensors, create the corresponding subfolder under ComfyUI/models/checkpoints/ and put ltx-2.5-22b-dev-transformer-bf16.safetensors inside it.
  2. Or open the workflow JSON in a text editor and replace the prefixed string with just ltx-2.5-22b-dev-transformer-bf16.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-dev-transformer-bf16.safetensors.

CUDA out of memory error when loading the model

ltx-2.5-22b-dev-transformer-bf16.safetensors needs ~32GB 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.

What CFG and step count should I use?

The dev (full) model supports CFG guidance. Try CFG=3.5 with 20-30 steps for highest quality. For faster iteration use CFG=2.5 with 15 steps.

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