LTX-2.5

LTX-2.5 (Distilled) needs 24.3 GB of VRAM in ComfyUI, at the diffusion stage of its own template, by file sizes read 3 November 2026. The smallest card that loads it with room to work is the RTX 5090 (32 GB), and the template downloads 44.9 GB.

Updated

Made by
Lightricks
Licence
LTX-2 Community License
Released
August 2026
Sizes read
3 November 2026
LTX-2.5 variant
Needs
24.3 GB
At the diffusion stage, with the INT8 ConvRot file ComfyUI's template loads. The template downloads 44.9 GB.
Computed 3 November 2026
Smallest card
32 GB
The RTX 5090 loads it with 7.7 GB left for the work.
Computed 3 November 2026

Largest stage from exact file sizes, with ComfyUI's own template; LoRAs are not counted. Working memory for the generation comes on top. Open it in the ComfyUI checker

Needs
44.9 GB
At the diffusion stage, with the BF16 file ComfyUI's template loads. The template downloads 65.4 GB.
Computed 3 November 2026
Smallest card
80 GB
The H100 SXM loads it with 35.1 GB left for the work. With the smaller INT8 ConvRot file, the RTX 5090 loads it.
Computed 3 November 2026

Largest stage from exact file sizes, with ComfyUI's own template; LoRAs are not counted. Working memory for the generation comes on top. Open it in the ComfyUI checker

Which file on your card

For each memory size, the best file for that card: the highest-precision diffusion file that loads with room to work (one that only just fits when nothing else does), and what is left for working memory while it samples. On a larger card that can be above the file ComfyUI's template loads, which the answer above is about. "Streams" means even the smallest file is larger than the card: ComfyUI still runs it from system RAM, more slowly. FP4 files go only to the Blackwell cards that run them natively.

Distilled

  • 12 GB
    No file loads fully
    Smallest, NVFP4: 21.5 GB
    Streams
    Short by 10.1 GB
  • 16 GB
    No file loads fully
    Smallest, NVFP4: 21.5 GB
    Streams
    Short by 6.3 GB
  • 24 GB
    No file loads fully
    Smallest, INT8 ConvRot: 24.3 GB
    Streams
    Short by 1.5 GB
  • 32 GB
    INT8 ConvRot · template
    Largest stage 26.3 GB
    Yes
    7.7 GB left
  • INT8 ConvRot · template
    Largest stage 26.3 GB
    Yes
    23.7 GB left
  • 80 GB
    BF16
    Largest stage 44.9 GB
    Yes
    35.1 GB left
  • BF16
    Largest stage 44.9 GB
    Yes
    51.1 GB left
  • 102 GB
    BF16
    Largest stage 44.9 GB
    Yes
    57.1 GB left
  • 126 GB
    BF16
    Largest stage 44.9 GB
    Yes
    81.1 GB left

ComfyUI's template for Distilled: INT8 ConvRot diffusion model, INT8 ConvRot text encoder. Stages: text encoder 15.4 GB, prompt enhancer 5.2 GB, diffusion 24.3 GB. Download 44.9 GB.

Computed 3 November 2026

Dev

  • 12 GB
    No file loads fully
    Smallest, INT8 ConvRot: 24.3 GB
    Streams
    Short by 12.9 GB
  • 16 GB
    No file loads fully
    Smallest, INT8 ConvRot: 24.3 GB
    Streams
    Short by 9.1 GB
  • 24 GB
    No file loads fully
    Smallest, INT8 ConvRot: 24.3 GB
    Streams
    Short by 1.5 GB
  • 32 GB
    INT8 ConvRot
    Largest stage 26.3 GB
    Yes
    7.7 GB left
  • INT8 ConvRot
    Largest stage 26.3 GB
    Yes
    23.7 GB left
  • 80 GB
    BF16 · template
    Largest stage 44.9 GB
    Yes
    35.1 GB left
  • BF16 · template
    Largest stage 44.9 GB
    Yes
    51.1 GB left
  • 102 GB
    BF16 · template
    Largest stage 44.9 GB
    Yes
    57.1 GB left
  • 126 GB
    BF16 · template
    Largest stage 44.9 GB
    Yes
    81.1 GB left

ComfyUI's template for Dev: BF16 diffusion model, INT8 ConvRot text encoder. Stages: text encoder 15.4 GB, prompt enhancer 5.2 GB, diffusion 44.9 GB. Download 65.4 GB.

Computed 3 November 2026

Check another card, or pick a file by hand, in the ComfyUI VRAM checker. Built your own workflow around it, with LoRAs or custom nodes? Drop it into the ComfyUI workflow checker.

Where to run it

Distilled

ComfyUI's LTX-2.5 (Distilled) workflow peaks at 24.3 GB, more than a 24 GB card holds with room to work; a 48 GB card holds it. Every way to run ComfyUI in the cloud, compared.

Your own GPU
32 GB or more
Loads ComfyUI's template with room to work.
Computed 3 November 2026
A GPU by the hour
$0.33 an hour
An RTX A6000 holds it with room to work, on RunPod Community, or $0.50 on Hyperstack, which runs its own data centres. Any node; it bills while it idles.
Read 19 October 2026

On-demand prices before tax, read 19 October 2026.

Dev

ComfyUI's LTX-2.5 (Dev) workflow peaks at 44.9 GB, more than a 24 GB card holds with room to work; a 80 GB card holds it. Every way to run ComfyUI in the cloud, compared.

Your own GPU
80 GB or more
Loads ComfyUI's template with room to work. 32 GB loads the smaller INT8 ConvRot file.
Computed 3 November 2026
A GPU by the hour
$1.35 an hour
An A100 80 GB holds it with room to work, on Hyperstack. Any node; it bills while it idles.
Read 19 October 2026

On-demand prices before tax, read 19 October 2026.

About the model

LTX-2.5 is Lightricks' open video model with sound. Lightricks' open video model from August 2026, a 22-billion-parameter transformer that generates sound with the picture. It comes distilled, for few-step generation, and as dev, the undistilled model. LTX-2.3, the release before it, is still in wide use and shares the same line.

Distilled: 22B · Dev: 22B Text encoder: Gemma 4 12B LTX-2 Community License Released August 2026

Good at

  • Video with audio, 24 frames a second, about five seconds at the default length.
  • Lightricks ships ComfyUI-ready files itself, including spatial and temporal upscalers.
  • Lightricks documents a low-VRAM LoRA training config for 32 GB cards.

Watch out for

  • Lightricks gives a 32 GB minimum for its own pipeline and recommends an A100 or H100.
  • The text encoder is Gemma 4 12B, and ComfyUI's template also loads a small Gemma 4 model to enhance prompts.
  • Free for companies under US$10 million in annual revenue; above that, a paid agreement. The repo is gated: accept the terms on Hugging Face first.

Every LTX-2.5 file ComfyUI loads

Sizes are the exact byte counts Hugging Face reports, read 3 November 2026. Files marked "template" are the ones ComfyUI's official workflow downloads.

PartPrecisionSizeVersionFile
Diffusion model BF16 42.02 GB Distilled ltx-2.5-22b-distilled-transformer-bf16.safetensors
Diffusion model INT8 ConvRot · template 21.50 GB Distilled ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors
Diffusion model NVFP4 18.72 GB Distilled ltx-2.5-22b-distilled-transformer-nvfp4.safetensors
Diffusion model BF16 42.02 GB Dev ltx-2.5-22b-dev-transformer-bf16.safetensors
Diffusion model INT8 ConvRot 21.50 GB Dev ltx-2.5-22b-dev-transformer-comfy-int8-convrot.safetensors
Text encoder BF16 26.26 GB all gemma4-12b-with-proj-ltx-2.5-bf16.safetensors
Text encoder INT8 ConvRot · template 15.37 GB all gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors
Prompt enhancer INT8 ConvRot · template 5.20 GB all gemma4_e2b_it_int8_convrot.safetensors
VAE BF16 · template 1.47 GB all ltx-2.5-video-vae-bf16.safetensors
Audio VAE BF16 · template 0.36 GB all ltx-2.5-audio-vae-bf16.safetensors
Latent upscaler BF16 · template 1.00 GB all ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors

What Lightricks says it needs

  • "GPU: NVIDIA GPU with a minimum 32GB+ VRAM - more is better" (Lightricks' own pipeline, minimum, source)
  • "GPU: NVIDIA A100 (80GB) or H100" (Lightricks' own pipeline, recommended, source)

Those figures and this page measure different things. A vendor's figure covers its own script at its default resolution and length, working memory included. This page counts the weights each stage holds, which is exact, and leaves the working memory as the space that remains, because it depends on your resolution, frame count and attention kernel and nobody publishes it per model. If generation runs out of memory with a file that loads, lower the resolution or the frame count before stepping down a precision. ComfyUI's README says it "can run even the biggest open source models on as low as 4GB vram + 8GB ram" by streaming weights (source), so "streams" means slower, not impossible.

LoRA training for LTX-2.5

Only configurations a trainer's own documentation gives a VRAM figure for. Settings change the figure a great deal, so read the setting column before trusting the number.

TrainerVRAMSettingSource
LTX trainer (Lightricks)32 GBthe low-VRAM config: INT8 model, 8-bit text encoder, 576×576×49 validationdocs
LTX trainer (Lightricks)80 GBthe standard config, no quantisationdocs

Questions

How much VRAM does LTX-2.5 need?
In ComfyUI's own workflow for Distilled, the largest stage is the diffusion stage at 24.3 GB, and the whole workflow downloads 44.9 GB. Working memory for generation comes on top and grows with resolution and length. Lightricks itself says: "GPU: NVIDIA GPU with a minimum 32GB+ VRAM - more is better" (Lightricks' own pipeline, minimum).
Can I run LTX-2.5 on 8 GB of VRAM?
Not fully. The smallest file here, INT8 ConvRot at 21.5 GB, needs 24.3 GB at its largest stage, more than 8 GB holds. ComfyUI will still run it by streaming weights from system RAM, which works but is slower.
Can I run LTX-2.5 on 12 GB of VRAM?
Not fully. The smallest file here, INT8 ConvRot at 21.5 GB, needs 24.3 GB at its largest stage, more than 12 GB holds. ComfyUI will still run it by streaming weights from system RAM, which works but is slower.
Can I run LTX-2.5 on 16 GB of VRAM?
Not fully. The smallest file here, INT8 ConvRot at 21.5 GB, needs 24.3 GB at its largest stage, more than 16 GB holds. ComfyUI will still run it by streaming weights from system RAM, which works but is slower.
Which LTX-2.5 file should I download?
The highest precision that loads fully on your card. On a 24 GB card that is none of them: even INT8 ConvRot streams. ComfyUI's template downloads INT8 ConvRot with the INT8 ConvRot text encoder. FP4 files (NVFP4) are made for Blackwell cards (RTX 50, RTX PRO 6000, DGX Spark); on older cards, use FP8 or INT8.
  • Files and sizes: Lightricks/LTX-2.5 on Hugging Face, read from the Hugging Face API. Template files: ComfyUI's LTX-2.5 guide.
  • Model and licence: Lightricks/LTX-2.5 and the LTX-2 Community License.
  • Card memory: manufacturers' specifications, as on each GPU page. The checker covers NVIDIA cards; ComfyUI also runs on AMD and Apple silicon, where file formats and speed differ and we have not sized them.
  • Fit rule: a stage loads fully under 85% of usable memory and is tight up to 95%, the same margins the LLM pages use.
  • Prices: each provider's own pricing page, on the dates beside them.