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Rebels LTX-2 Dev (GGUF)

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Updated: Jan 11, 2026

base modelltx-2quantggufdevltx2

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Published

Jan 10, 2026

Base Model

LTXV

Hash

AutoV2
C47F8B8CA0

note: there is a bug on civitai where you cannot see total number of downloads or likes. trust me its getting downloaded. comments are also not appearing for some reason. comment on my youtube video if you have any issues/questions.

MY PC SPECS (for comparison):

(RTX 3070+I-7) 8gb VRAM + 16gb System RAM = 24gb in total. it works pretty well for such high memory requirements.


LINKS

Dev GGUF (pick a lower quant than your vram requirement, the total workflow requirements are HUGE)

https://huggingface.co/unsloth/LTX-2-GGUF/tree/main


Text Encoder (runs alongside the second encoder in dual clip loader gguf node)
https://huggingface.co/GitMylo/LTX-2-comfy_gemma_fp8_e4m3fn/blob/main/gemma_3_12B_it_fp8_e4m3fn.safetensors

embeddings connector (runs in dual clip loader gguf node with gemma encoder)

https://huggingface.co/Kijai/LTXV2_comfy/blob/main/text_encoders/ltx-2-19b-embeddings_connector_dev_bf16.safetensors


Distill LoRA (for upsampling later in workflow)

https://huggingface.co/Lightricks/LTX-2/blob/main/ltx-2-19b-distilled-lora-384.safetensors

DETAIL LoRA (adds fidelity to lower resolution generations. trust me it helps.)
https://huggingface.co/Lightricks/LTX-2-19b-IC-LoRA-Detailer/blob/main/ltx-2-19b-ic-lora-detailer.safetensors


vaes (audio AND video)

audio

https://huggingface.co/Kijai/LTXV2_comfy/blob/main/VAE/LTX2_audio_vae_bf16.safetensors

video

https://huggingface.co/Kijai/LTXV2_comfy/blob/main/VAE/LTX2_video_vae_bf16.safetensors


latent upsampler (place in latent_upscale_models folder)

https://huggingface.co/Lightricks/LTX-2/blob/main/ltx-2-spatial-upscaler-x2-1.0.safetensors


IMPORTANT!!!!
you need the following custom nodes:

-KJ Nodes (available in custom nodes manager, update and use nightly)

-Comfyui-GGUF nodes (available in custom nodes manager, update and use nightly)


-a custom node from VantageWithAI named "Vantage GGUF Unet Loader" node
this node is experimental but more efficient than the regular unet GGUF nodes. (there is a PR pull missing from the GGUF nodes at the moment and until it is merged fully the node wont work without updating it in your command prompt yourself. i dont suggest as it is highly unusable. trust me, use the Vantage node.)

TO GET THE VANTAGE NODES, open a command prompt in your custom nodes folder and copy in this command and hit enter:

git clone https://github.com/vantagewithai/Vantage-Nodes.git

(i removed the "cd comfyui/custom_nodes" portion from the youtube video tutorial as its not needed)

use this command once its finished:

cd Vantage-Nodes
pip install -r requirements.txt


this installs the nodes fully. restart comfyui and you drag in my workflow and you have a fully functioning LTX-2 workflow!



I HIGHLY RECOMMEND UPDATING YOUR BAT FILE WITH THESE FLAGS:
--lowvram --disable-xformers --use-pytorch-cross-attention --reserve-vram 2 --disable-smart-memory

this workflow is very resource intense. even for the lowest quant my pc struggled until i lowered resolution to 480p. i suggest editing your bat file in notepad and just adding the flags to the code line that contains the "--windows-standalone" code and just save the file as a copy and use that one for LTX-2 ONLY. (rename it that if it helps you remember) instructions on how to do it are in the youtube video if you dont know how!

TUTORIAL VIDEO