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The-frizzy1/
LTX23-Ultimate

Name: LTX23-Ultimate
Availability: InStock

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A simple, color-coded GGUF workflow for running LTXV-2.3 in ComfyUI. Designed to be straightforward and lightweight.

Required Node Packs

ComfyUI-KJNodes https://github.com/kijai/ComfyUI-KJNodes (install & update it to nightly)

additional install via manager

Includes:

Distilled LoRA (REQUIRED)

Text Projection (embedding connector)

Includes:

Diffusion Models (GGUF)

VAE

Choose based on VRAM:

Q4_K_M → lower VRAM (recommended)

Q8_0 → higher quality, more VRAM

⚠️ Very low quants = basically unusable ✍️ Text Encoders (REQUIRED)

Gemma text encoder

➡️ You still ALSO need:

Text Projection (from Kijai’s repo)

🔍 Latent Upscaler

Files:

ltx-2-spatial-upscaler-x2-1.0.safetensors

ltx-2-temporal-upscaler-x2-1.0.safetensors

⚠️ Important Notes

Use DEV GGUF diffusion models but distilled are possible

Distilled LoRA is still REQUIRED

Most issues = outdated nodes or ComfyUI

The-frizzy1/LTX23-Ultimate