note: there is a bug on civitai where you cannot see total number of downloads or likes. trust me its getting downloaded.

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)

TUTORIAL VIDEO