File	Quant Type	Size	Notes
`ltx-2.5-22b-distilled-transformer-Q4_0.gguf`	Q4_0	~11.65 GB	Optimized for 16GB–24GB VRAM GPUs
`ltx-2.5-22b-distilled-transformer-Q8_CR.gguf`	Q8_CR	~20.04 GB	High precision compressed-row quant
`ltx-2.5-22b-distilled-transformer-Q8_0.gguf`	Q8_0	~21.22 GB	Near FP16/BF16 quality, fits on 24GB+ VRAM

Example ComfyUI Workflows (`workflows/`)

Base Architecture: LTX-2.5 22B Distilled Transformer
Directory: ComfyUI/models/diffusion_models/ (or ComfyUI/models/unet/ )

This repository includes ready-to-use ComfyUI workflow JSON files in the workflows/ folder:

Text-to-Video (T2V):
- File: workflows/video_ltx2_5_t2v-gguf.json
- Generates video directly from text prompts using the GGUF transformer.
Image-to-Video (I2V):
- File: workflows/video_ltx2_5_i2v-gguf.json
- Animates a single source frame with synchronized audio and motion.
First & Last Frame to Video (FLF2V):
- File: workflows/video_ltx2_5_flf2v-gguf.json
- Interpolates seamless video transitions between two keyframe images.

ComfyUI Setup & Requirements

GGUF Loader: molbal/ComfyUI-GGUF (Registry: comfyui-gguf-reboot)
- Node: UnetLoaderGGUF (select the .gguf transformer model)

Ensure you place the upstream support weights into their respective folders:

Text Encoder / CLIP: Gemma 4 12B with projection (ComfyUI/models/clip/ or text_encoders/)
Video VAE: ltx-2.5-video-vae-bf16.safetensors (ComfyUI/models/vae/)
Audio VAE: ltx-2.5-audio-vae-bf16.safetensors (ComfyUI/models/vae/)