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LTX-2.5-INT8-AllModes-Stage2-Speed-Quality-LoRA-Civitai-v1.0.json
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LTX-2.5-INT8-AllModes-Stage2-Speed-Quality-LoRA-Civitai-v1.0.json
Verified: 12 hours ago
This checkpoint includes a config file, download and place it along side the checkpoint.
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Aug 12, 2026
LTXV 2.5
## ⚠️ 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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## ⚠️ 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.