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SageAttention is not new enough version — LTX-2

Partially verifiedMedium riskTested on Windows 10, Windows 11 | portable | Python 3.11+ | CUDA 12.x | Torch 2.x | ComfyUI Current release with built-in LTX-2 templates; 0.32.0+ for LTX-2.5Estimated time 30-90 minutes (mostly model downloads)

SageAttention is not new enough version or could not determine CUDA architecture, cannot apply LTX2 memory efficient sage attention patch. The workflow can still run; this page covers LTX-2, LTX-2.3, and LTX-2.5 setup.

LTX-2 is Lightricks' open-weights audio-video model. ComfyUI supports the family natively through the template library. You do not need a separate wrapper custom node for the official templates.

If you searched sageattention is not new enough version or could not determine cuda architecture, cannot apply ltx2 memory efficient sage attention patch, that is a performance warning, not a missing-module failure. The workflow can still run. For No module named 'sageattention', use the SageAttention missing-module page.

SageAttention is not new enough version

That log means the LTX-2 memory-efficient SageAttention patch did not apply. ComfyUI usually continues with standard attention. Update SageAttention only if you want the patch; switch the node to sdpa or comfy if you just want a clean queue. Setup, model folders, and the rest of the LTX-2 family live on this page.

LTX-2 is a 19B DiT audio-video model: it generates motion, dialogue, sound effects, and music in one pass. Later official releases keep that joint audio-video path and add quality, encoder, and decoder upgrades. Do not mix files from LTX-2, LTX-2.3, and LTX-2.5 in the same workflow.

Fast answer

Update ComfyUI, open Template Library → Video, load an LTX-2, LTX-2.3, or LTX-2.5 template, and follow the pop-up to download the files it asks for. If you see SageAttention is not new enough version ... cannot apply ltx2 memory efficient sage attention patch, that is a performance warning, not a hard failure — the workflow still runs.

Which LTX version you have

ReleaseOfficial ComfyUI entryEncoder familyDo not mix with
LTX-2Template Library → Video → LTX-2Gemma 3 era templates2.3 / 2.5 weights
LTX-2.3Template Library → search LTX-2.3 (ComfyUI 0.16.1+)Gemma 3, including gemma_3_12b_it_fp4_mixed.safetensors2 / 2.5 weights
LTX-2.5Templates panel → LTX-2.5 (ComfyUI 0.32.0+)Custom Gemma 4 12B encoder2 / 2.3 weights

The SageAttention patch wording still says ltx2 on later templates. Stay on this page for that log. Partner Node (hosted API) workflows are a different product path and are out of scope here.

What native LTX-2 can do

Official ComfyUI docs list these modes for LTX-2:

ModeWhat you provideWhat you get
Text-to-video (T2V)A promptVideo with synchronized audio
Image-to-video (I2V)A start image + promptThe image is animated
Video-to-videoA video + promptRestyled or continued motion
Canny / Depth / Pose controlControl video plus IC-LoRAsStructure-guided video
Native upscalersSpatial x2 and temporal x2 checkpointsHigher resolution or FPS

LTX-2.5 official notes add native multi-shot generation, a diffusion video decoder, a prompt enhancer, and an optional duration head. Those features still use the same first step: load the matching official template.

Step 1: Update ComfyUI

  • LTX-2 templates need a current ComfyUI release with the built-in LTX nodes.
  • LTX-2.3 official blog asks for ComfyUI 0.16.1 or newer.
  • LTX-2.5 official blog asks for ComfyUI 0.32.0 or Comfy Cloud.

For a Git install:

cd ComfyUI
git pull
python -m pip install -r requirements.txt

For the Windows portable package, run the update from the portable root with the bundled Python. If the LTX nodes are missing after updating, restart ComfyUI and confirm the frontend package updated too (see comfyui-frontend-package Not Installed or Version Outdated).

Step 2: Download the official template

The authoritative file list is the pop-up inside the template, not a blog screenshot.

  1. Open ComfyUI in the browser.
  2. Open Workflow → Browse Templates (or the Templates panel).
  3. Open Video and load LTX-2, or search LTX-2.3 / LTX-2.5.
  4. Follow the download pop-up. Save each file into the folder the pop-up names.

Official LTX-2 tutorial: LTX-2.0 ComfyUI workflow examples. Official 2.5 weights: Lightricks/LTX-2.5. Official 2.0 weights: Lightricks/LTX-2.

LTX-2 official checkpoints

The official ComfyUI LTX-2 docs and the Lightricks model card name these checkpoints. The template pop-up decides the folder. Do not guess models/ltx_video from third-party posts.

Checkpoint nameNotes
ltx-2-19b-devFull 19B model, bf16, flexible / trainable
ltx-2-19b-dev-fp8Full model, fp8
ltx-2-19b-distilledDistilled, 8 steps, CFG=1
ltx-2-spatial-upscaler-x2-1.02x spatial upscaler
ltx-2-temporal-upscaler-x2-1.02x temporal upscaler

The Lightricks card also lists ltx-2-19b-dev-fp4 and ltx-2-19b-distilled-lora-384. Use a file only when your loaded template asks for it.

LTX-2.5 official Comfy-aligned folders

Lightricks publishes LTX-2.5 as a split Comfy-aligned pack. Each component is one .safetensors file. Official repo folders map to the same names under your running ComfyUI/models/ tree.

Diffusion models — ComfyUI/models/diffusion_models/

FileNotes
ltx-2.5-22b-dev-transformer-bf16.safetensorsFull / trainable DiT
ltx-2.5-22b-distilled-transformer-bf16.safetensorsDistilled DiT, 8-step schedule, CFG=1
ltx-2.5-22b-dev-transformer-comfy-int8-convrot.safetensorsFull DiT, Comfy int8 (ComfyUI only)
ltx-2.5-22b-distilled-transformer-comfy-int8-convrot.safetensorsDistilled DiT, Comfy int8 (ComfyUI only)
ltx-2.5-22b-distilled-transformer-nvfp4.safetensorsDistilled DiT, NVFP4

Text encoders — ComfyUI/models/text_encoders/

FileNotes
gemma4-12b-with-proj-ltx-2.5-bf16.safetensorsGemma 4 12B encoder plus projections
gemma4-12b-with-proj-ltx-2.5-comfy-int8-convrot.safetensorsSame encoder, Comfy int8

VAE — ComfyUI/models/vae/

FileNotes
ltx-2.5-video-vae-bf16.safetensorsDiffusion video decoder, higher quality
ltx-2.5-video-vae-conv-bf16.safetensorsConv VAE, faster / lighter
ltx-2.5-audio-vae-bf16.safetensorsAudio VAE and vocoder

Other official 2.5 files

FileFolderNotes
ltx-2.5-22b-distilled-lora-450-bf16.safetensorsmodels/loras/Distilled LoRA for dev-transformer workflows
ltx-2.5-duration-head-bf16.safetensorsmodels/model_patches/Optional auto duration
ltx-2.5-latent-spatial-upscaler-x2-bf16-1.0.safetensorsmodels/latent_upscale_models/x2 spatial upscaler
ltx-2.5-latent-temporal-upscaler-x2-bf16-1.0.safetensorsmodels/latent_upscale_models/x2 temporal upscaler

Folder mistakes to avoid

Do not drop a Gemma encoder into checkpoints or a 2.5 transformer into a 2.0 LTX-2 template. LTX-2.3 still uses Gemma 3 files such as gemma_3_12b_it_fp4_mixed.safetensors in models/text_encoders/ — that is not the 2.5 Gemma 4 file. If a dropdown is empty after moving files, restart ComfyUI and confirm you edited the install that is running. See Where to Put Safetensors in ComfyUI.

Step 3: Run the workflow

  1. Load the matching template and confirm no nodes are red.
  2. Point each loader at the files you downloaded.
  3. For I2V or first/last-frame, connect the images the template asks for.
  4. Write a detailed chronological prompt. Official LTX-2 prompting advice is literal action, camera, lighting, and environment in one flowing paragraph, usually under 200 words.
  5. Queue. Joint audio-video models output picture and sound together when the audio VAE / vocoder file is present.

Common errors

ErrorWhat it meansFix
SageAttention is not new enough version or could not determine cuda architecture, cannot apply ltx2 memory efficient sage attention patchSageAttention is missing, too old, or CUDA arch was not detected; ComfyUI falls back to standard attentionUsually a warning — the workflow still runs. To silence it, update SageAttention or use sdpa/comfy attention. See No module named 'sageattention'
No module named 'sageattention'Optional acceleration backend missingNot fatal for most queues; switch the node to sdpa, comfy, torch, or auto. See SageAttention missing
No module named 'triton'Triton layer missing or wrong for the installed Torch/CUDAFix Triton before SageAttention. On Windows use triton-windows, not upstream triton. See Triton missing or unavailable
Out of memory / Not enough GPU memoryVRAM exhaustedUse the distilled or int8/NVFP4 variant your template lists, lower resolution or frame count, or see CUDA Out of Memory
Empty model dropdownFile in the wrong folder, wrong LTX version, or ComfyUI not restartedMatch the table above, restart, and confirm the running install path
Missing nodes in a downloaded workflowComfyUI is older than the template, or a custom node failed to importUpdate to the version the template needs; see Workflow Missing Nodes

FAQ

Is the LTX-2 SageAttention patch error fatal?

No. sageattention is not new enough version or could not determine cuda architecture, cannot apply ltx2 memory efficient sage attention patch is a fallback warning. ComfyUI continues with standard attention.

Do I need ComfyUI-LTXVideo to run LTX-2?

No for the official native templates. ComfyUI ships built-in LTX workflows. The Lightricks ComfyUI-LTXVideo pack is a separate custom-node path with its own folder notes. If you loaded a Template Library LTX workflow, follow that pop-up, not a random custom-node README.

Where do LTX-2.5 models go in ComfyUI?

Official Lightricks packaging is Comfy-aligned: transformers in models/diffusion_models/, Gemma 4 in models/text_encoders/, VAEs in models/vae/, LoRAs in models/loras/, the duration head in models/model_patches/, and latent upscalers in models/latent_upscale_models/.

Can I reuse LTX-2.3 files in an LTX-2.5 template?

Do not mix the packs. LTX-2.3 uses Gemma 3. LTX-2.5 uses a custom Gemma 4 12B encoder and a new decoder. Lightricks notes that many 2.3 LoRAs still run on 2.5, but the base transformer, encoder, and VAE should stay on the 2.5 set.

Does LTX-2 generate audio?

Yes. Official LTX-2 generates synchronized audio with the video in one pass. For 2.5, the official pack includes ltx-2.5-audio-vae-bf16.safetensors.

Related Guides

  • Where to Put Safetensors in ComfyUI — folder map for model files
  • SageAttention is not new enough version — MiniMax H3 — the same warning family on H3
  • No module named 'sageattention' in ComfyUI — missing-module intent
  • Triton missing or unavailable — Triton errors on Windows
  • CUDA Out of Memory — VRAM fixes
  • ComfyUI Failed to Get Custom Node List — if template downloads fail

Source References

  • LTX-2.0 ComfyUI workflow examples (official ComfyUI docs)
  • LTX-2 open-source audio-video in ComfyUI (official ComfyUI blog)
  • LTX-2.3 day-0 support in ComfyUI (official ComfyUI blog)
  • LTX-2.5 day-0 support in ComfyUI (official ComfyUI blog)
  • Lightricks/LTX-2 (Hugging Face)
  • Lightricks/LTX-2.5 (Hugging Face)

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Table of Contents

SageAttention is not new enough version
Which LTX version you have
What native LTX-2 can do
Step 1: Update ComfyUI
Step 2: Download the official template
LTX-2 official checkpoints
LTX-2.5 official Comfy-aligned folders
Diffusion models — ComfyUI/models/diffusion_models/
Text encoders — ComfyUI/models/text_encoders/
VAE — ComfyUI/models/vae/
Other official 2.5 files
Step 3: Run the workflow
Common errors
FAQ
Is the LTX-2 SageAttention patch error fatal?
Do I need ComfyUI-LTXVideo to run LTX-2?
Where do LTX-2.5 models go in ComfyUI?
Can I reuse LTX-2.3 files in an LTX-2.5 template?
Does LTX-2 generate audio?
Related Guides
Source References