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LTX-2.5 INT8 AllInOne — Speed / Quality / Low Vram

Name: LTX-2.5 INT8 AllInOne — Speed / Quality / Low Vram
Rating: 5 (26 reviews)
Author: junghan

1.6k

Updated: Aug 12, 2026

tool

comfyui image to video text to video sageattention 16gb vram

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2 variants available

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This checkpoint includes a config file, download and place it along side the checkpoint.

Details

Type

Workflows

Stats

1,584

Reviews

Positive

(26)

Published

Aug 12, 2026

Base Model

LTXV 2.5

Hash

AutoV2

1D31375A81

About this version

## ⚠️ Installation — Download Both Files

This workflow requires both downloadable files:

1. Config JSON — the ComfyUI workflow

2. Additional Components ZIP — required ltx25_smart_controls custom nodes

Select and download both files from the Download panel.

Extract the Additional Components ZIP directly into your ComfyUI root folder:

ComfyUI/custom_nodes/ltx25_smart_controls/

Then restart ComfyUI and import the workflow JSON.

Model weights are not included and must be installed separately.

Initial public release of an independent community workflow for LTXV 2.5.

### Features

- T2V, I2V, and FLF2V in one organized workflow

- Official LTX-2.5 Distilled INT8 ConvRot transformer

- Two-stage generation with the official x2 latent upscaler

- Stage 1: SageAttention → Sol-Attn

- Stage 2 Speed: SageAttention + Sol-Attn

- Stage 2 Quality: native exact attention

- Optional standard LTX transformer LoRA

- Video and LTX audio output

### Stage 2 modes

Speed — Sage + Sol

Designed for lower-VRAM systems and longer clips.

12–16GB is the target range, but a physical 12GB GPU has not yet been verified.

Quality — Native Exact

24GB+ VRAM is recommended. For 1920×1088 and 15-second clips, 32GB is safer.

### Tested environment

- Windows 11

- NVIDIA GeForce RTX 5080 16GB

- 1920×1088 at 24 FPS

- 10-second Quality mode tested successfully

This is a ComfyUI workflow, not a trained model. Training epochs and steps are not applicable.

Model weights and LoRA files are not included. Users must select their own FIRST image for I2V and FIRST/LAST images for FLF2V.

### Required custom nodes

- ltx25_smart_controls v1.2.0

- ComfyUI-KJNodes 1.5.0

- ComfyUI-SolAttn_triton commit 842c4eaa7d91dbaef3fee3ccdbf36a39521e82fc

- SageAttention

- Triton or Triton-Windows

Developed with reference to and incorporating elements of the official Lightricks ComfyUI-LTXVideo LTX-2.5 two-stage distilled workflow. This is a modified community workflow and is not endorsed by Lightricks or ComfyUI. Upstream and dependency licenses continue to apply.

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junghan

Joined Apr 15, 2026

License:

LTX-2.x Community License Agreement

LTX Video 2.5 and its derivatives, including LoRAs and fine-tunes, are licensed by Lightricks Ltd. under the LTX-2.x Community License Agreement and must be redistributed under that same agreement, with a copy included. Use is subject to the use restrictions in its Attachment A. Entities with annual revenues of at least $10,000,000 must obtain a paid commercial license from Lightricks before any commercial use.

## ⚠️ Installation — Download Both Files

This workflow requires both downloadable files:

1. Config JSON — the ComfyUI workflow

2. Additional Components ZIP — required ltx25_smart_controls custom nodes

Select and download both files from the Download panel.

Extract the Additional Components ZIP directly into your ComfyUI root folder:

ComfyUI/custom_nodes/ltx25_smart_controls/

Then restart ComfyUI and import the workflow JSON.

Model weights are not included and must be installed separately.

## LTX-2.5 INT8 AllModes Workflow

A two-stage ComfyUI workflow for LTX-2.5 using the official Distilled INT8 ConvRot transformer.

### Features

- T2V, I2V and FLF2V in one workflow

- Final resolution, FPS, duration, exact frame count and seed controls

- LTX audio generation

- Optional standard LTX transformer LoRA

- Conv VAE tiled decoding

- Stage 1: SageAttention → Sol-Attn

- Selectable Stage 2 mode:

Speed — Sage + Sol

Designed for lower-VRAM systems and long clips.

12–16GB is the target range, but 12GB has not yet been physically verified.

Quality — Native Exact Attention

Uses native dense attention for the final refinement stage.

24GB+ VRAM is recommended, while 32GB is safer for 1920×1088 / 15-second generation.

### Tested Environment

- Windows

- NVIDIA RTX 5080 16GB

- 1920×1088 at 24 FPS

- 10-second Quality mode completes normally

- 15-second Quality mode completes but Stage 2 becomes significantly slower

- Speed mode is intended to reduce this full-resolution attention bottleneck

Stage 2 uses deterministic Euler with:

0.909375, 0.725, 0.421875, 0.0

### Required Custom Nodes

- ltx25_smart_controls v1.2.0 — must be installed separately

- ComfyUI-KJNodes 1.5.0

- ComfyUI-SolAttn_triton commit 842c4eaa7d91dbaef3fee3ccdbf36a39521e82fc

- SageAttention

- Triton / Triton-Windows

### Required Models

- ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors

- gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors

- ltx-2.5-video-vae-conv-bf16.safetensors

- ltx-2.5-audio-vae-bf16.safetensors

- ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors

Model weights are not included.

After importing the workflow, select your own FIRST image for I2V or FIRST/LAST images for FLF2V.

Built with reference to the official Lightricks LTX-2.5 two-stage workflow:

https://github.com/Lightricks/ComfyUI-LTXVideo

This is an experimental community optimization. Performance and VRAM requirements vary by resolution, duration, GPU, drivers and installed kernels.