<h2 id="installation-download-both-files">## ⚠️ Installation — Download Both Files</h2>This workflow requires both downloadable files:1. Config JSON — the ComfyUI workflow2. Additional Components ZIP — required <code>ltx25_smart_controls</code> custom nodesSelect and download both files from the Download panel.Extract the Additional Components ZIP directly into your ComfyUI root folder:<code>ComfyUI/custom_nodes/ltx25_smart_controls/</code>Then restart ComfyUI and import the workflow JSON.Model weights are not included and must be installed separately. ## LTX-2.5 INT8 AllModes WorkflowA 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 + SolDesigned for lower-VRAM systems and long clips.12–16GB is the target range, but 12GB has not yet been physically verified.Quality — Native Exact AttentionUses 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 bottleneckStage 2 uses deterministic Euler with:<code>0.909375, 0.725, 0.421875, 0.0</code>### Required Custom Nodes- <code>ltx25_smart_controls</code> v1.2.0 — must be installed separately- ComfyUI-KJNodes 1.5.0- ComfyUI-SolAttn_triton commit <code>842c4eaa7d91dbaef3fee3ccdbf36a39521e82fc</code>- SageAttention- Triton / Triton-Windows### Required Models- <code>ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensors</code>- <code>gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensors</code>- <code>ltx-2.5-video-vae-conv-bf16.safetensors</code>- <code>ltx-2.5-audio-vae-bf16.safetensors</code>- <code>ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensors</code>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:<a target="_blank" rel="ugc" href="https://github.com/Lightricks/ComfyUI-LTXVideo">https://github.com/Lightricks/ComfyUI-LTXVideo</a>This is an experimental community optimization. Performance and VRAM requirements vary by resolution, duration, GPU, drivers and installed kernels.

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

## ⚠️ Installation — Download Both FilesThis workflow requires both downloadable files:1. Config JSON — the ComfyUI workflow2. Additional Components ZIP — required <code>ltx25_smart_controls</code> custom nodesSelect and download both files from the Download panel.Extract the Additional Components ZIP directly into your ComfyUI root folder:<code>ComfyUI/custom_nodes/ltx25_smart_controls/</code>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 modesSpeed — Sage + SolDesigned 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 Exact24GB+ 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 successfullyThis 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-WindowsDeveloped 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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