Model reference · open weights
LTX-2.5 is an open-weight video model from Lightricks. LTX-2.5 (BF16) weighs 201 GB; the smallest configuration that runs it is B200 180 GB.
For self-hosting, compare this build's requirements below with the GPU you plan to rent.
AxForge offerings: LTX-2.5
Summary of the Lightricks/LTX-2.5 model card, 2026-10-01
What it is
| Released by | Lightricks |
|---|---|
| Released | 2026-07-23 |
| VRAM | 201 GB for the weights |
What it runs on
| Card | Weights | Memory |
|---|---|---|
| RTX 3060 12 GB … H200 141 GB | does not fit | |
| B200 180 GB | fits (encoders offloaded) | 176 GB |
Builds
| Build | Params | Precision | Weights | Smallest setup |
|---|---|---|---|---|
| LTX-2.5 (above) ↗ | BF16 | 201 GB | B200 180 GB | |
| LTX-2.5-Diffusers ↗ | 19.0B | BF16 | 165 GB | H100 80 GB |
How it works
Running it yourself
Rent a machine by the hour. ComfyUI is installed on it. Open ComfyUI through the tunnel, then Templates → LTX-2.5: Text to Video: it loads ComfyUI's own build of this model, the files above.
# on your rented machine (the ssh line is on its page in the console)
# gated on Hugging Face: accept the licence at https://huggingface.co/Lightricks/LTX-2.5
# once, then log in here with a Hugging Face token
hf auth login
# get REPO FILE FOLDER: one file into /workspace/models/FOLDER, where ComfyUI loads it from
get() { hf download "$1" "$2" --local-dir /workspace/hf-files && mkdir -p "/workspace/models/$3" && mv "/workspace/hf-files/$2" "/workspace/models/$3/$4"; }
# the files of the template “LTX-2.5: Text to Video” (41.8 GB)
get Lightricks/LTX-2.5 latent_upscale_models/ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors latent_upscale_models
get Lightricks/LTX-2.5 diffusion_models/ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors diffusion_models
get Lightricks/LTX-2.5 vae/ltx-2.5-video-vae-bf16.safetensors vae
get Lightricks/LTX-2.5 vae/ltx-2.5-audio-vae-bf16.safetensors vae
get Lightricks/LTX-2.5 text_encoders/gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors text_encoders
get Comfy-Org/gemma-4 text_encoders/gemma4_e2b_it_int8_convrot.safetensors text_encoders
start-comfyui# on your computer, in a second terminal: ComfyUI in your browser at http://localhost:8188
# HOST, PORT and BOOKING are your machine's, from its page in the console
ssh -o HostKeyAlias=axforge-BOOKING -o StrictHostKeyChecking=accept-new -L 8188:localhost:8188 dev@HOST -p PORT