A simple, color-coded GGUF workflow for running LTXV-2 in ComfyUI.
Designed to be straightforward and lightweight.
Common Issues
Error: LTXVEmptyLatentAudio – AttributeError
Update Kijai Node Pack to v1.2.8
Checkerboard / patterned noise output
Update all nodes + ComfyUI
(Outdated GGUF loader or ComfyUI build)
Required Node Packs
ComfyUI-GGUF
https://github.com/city96/ComfyUI-GGUF
ComfyUI-KJNodes
https://github.com/kijai/ComfyUI-KJNodes (install & update it to nightly)
additional install via manager
📦 Downloads
🧩 Kijai’s Repo (ALL files except diffusion models — choose ONE LoRA)
https://huggingface.co/Kijai/LTX2.3_comfy/tree/main
Includes:
Distilled LoRA (REQUIRED)
Text Projection (embedding connector)
🧠 Diffusion Models (GGUF)
https://huggingface.co/unsloth/LTX-2.3-GGUF/tree/main
Choose based on VRAM:
Q4_K_M→ lower VRAM (recommended)Q8_0→ higher quality, more VRAM
⚠️ Very low quants = basically unusable
Includes:
VAE (audio + video)
GGUF models
✍️ Text Encoders (REQUIRED)
Option 1 – Gemma (recommended for low VRAM)
https://huggingface.co/Comfy-Org/ltx-2/tree/main/split_files/text_encoders
Option 2 – Full version (higher VRAM, better quality)
➡️ You still ALSO need:
Text Projection (from Kijai’s repo)
🔍 Latent Upscaler
https://huggingface.co/Lightricks/LTX-2/tree/main/
Files:
ltx-2-spatial-upscaler-x2-1.0.safetensorsltx-2-temporal-upscaler-x2-1.0.safetensors
⚠️ Important Notes
Use DEV GGUF diffusion models (no distilled base model yet)
Distilled LoRA is still REQUIRED
Most issues = outdated nodes or ComfyUI
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Description
FAQ
Comments (4)
t2v 5s video took nearly 3 minutes on a rtx6000pro and the output wasn't anything close to the prompt. Epic fail.
I tried to update this workflow yesterday but can’t do it even now I have this fixed on huggingface. This one has something wrong connected for t2v but also the resolution gets doubled so if you put in 512x512 it generates 1024x1024 which is why it might have taken much longer. I added simple math to make input resolution = output resolution. https://huggingface.co/The-frizzy1/LTX23-Ultimate
I'm getting
RuntimeError: Error(s) in loading state_dict for LTXAVModel:
size mismatch for audio_embeddings_connector.learnable_registers: copying a param with shape torch.Size([128, 2048]) from checkpoint, the shape in current model is torch.Size([128, 3840]).
Any idea how to fix this?
I tried ltx-2.3-22b-dev-Q4_K_D.gguf as well as distilled Versions of it 1.1 and without versioning and get the same issue.
I dont know where the audio embending come from it shouldn’t be used in this workflow. It should be text projection otherwise that ususally from ether frame number or frame rate being off I updated the workflow maybe try it with the new one.
