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This is a direct GGUF conversion of the 13b-0.9.7-distilled variant from Lightricks/LTX-Video.
Model source
Source description
This is a direct GGUF conversion of the 13b-0.9.7-distilled variant from Lightricks/LTX-Video.
The model files can be used in ComfyUI with the ComfyUI-GGUF custom node. Place the required model(s) in the following folders:
Sources
1 sourceVerified Oct 2
Model artifacts
1 artifactltxv-13b-0.9.7-distilled-Q3_K_S.gguf
gguf · Q3_K · 5.46 GB · SHA-256 48222d87a2c0…1413 · Hugging Face
DownloadSource excerpts
2 excerpts| Type | Name | Location | Download |
|---|
| Main Model | ltxv-13b-0.9.7-distilled | ComfyUI/models/diffusion_models | GGUF (this repo) |
| Text Encoder | T5-V1.1-XXL-Encoder | ComfyUI/models/text_encoders | Safetensors / GGUF |
| VAE | ltxv-13b-0.9.7-vae | ComfyUI/models/vae | Safetensors |
Example workflow - based on the official example workflow
As this is a quantized model not a finetune, all the same restrictions/original license terms still apply.
Comfyui now supports the ggufs natively, so you just need to update comfyui to the latest version and if some issues persist update all the nodes in the workflow
Other T5 clips will probably work as well, just use one that you like, you can get them as safetensors or ggufs. The best I tried was the t5 v1.1 xxl one
Loras do work, but you need to follow the steps in the example workflow and dont use torchcompile with loras!
Teacache works with ltx but atm not really good. The rel_l1_thresh only seems to work at 0.01 in my testing and even that causes some noticable quality drops, best leave it disabled.
--- base_model: Lightricks/LTX-Video library_name: gguf quantized_by: wsbagnsv1 tags: - ltx-video - text-to-video - image-to-video language: - en license: other license_link: LICENSE.md --- This is a direct GGUF conversion of the 13b-0.9.7-distilled variant from [Lightricks/LTX-Video](https://huggingface.co/Lightricks/LTX-Video). The model files can be used in [ComfyUI](https://github.com/comfyanonymous/ComfyUI/) with the [ComfyUI-GGUF](https://github.com/city96/ComfyUI-GGUF) custom node. Place the required model(s) in the following folders: | Type | Name | Location | Download | | ------------ | ----------------------- | --------------------------------- | ------ | | Main Model | ltxv-13b-0.9.7-distilled| `ComfyUI/models/diffusion_models` | GGUF (this repo) | | Text Encoder | T5-V1.1-XXL-Encoder | `ComfyUI/models/text_encoders` | [Safetensors](https://huggingface.co/comfyanonymous/flux_text_encoders/tree/main) / [GGUF](https://huggingface.co/city96/t5-v1_1-xxl-encoder-gguf) | | VAE | ltxv-13b-0.9.7-vae | `ComfyUI/models/vae` | [Safetensors](https://huggingface.co/wsbagnsv1/ltxv-13b-0.9.7-dev-GGUF/blob/main/ltxv-13b-0.9.7-vae-BF16.safetensors) | [**Example workflow**](https://huggingface.co/wsbagnsv1/ltxv-13b-0.9.7-distilled-GGUF/blob/main/exampleworkflow.json) - based on the [official example workflow](https://github.com/Lightricks/ComfyUI-LTXVideo/tree/master/example_workflows/) ### Notes *As this is a quantized model not a finetune, all the same restrictions/original license terms still apply.* *Comfyui now supports the ggufs natively, so you just need to update comfyui to the latest version and if some issues persist update all the nodes in the workflow* *Other T5 clips will probably work as well, just use one that you like, you can get them as safetensors or ggufs. The best I tried was the t5 v1.1 xxl one* *Loras do work, but you need to follow the steps in the example workflow and dont use torchcompile with loras!* *Teacache works with ltx but atm not really good. The rel_l1_thresh only seems to work at 0.01 in my testing and even that causes some noticable quality drops, best leave it disabled.*
Source context: 2981 downloads · 34 likes · Pipeline image-to-video · Library gguf · Repo wsbagnsv1/ltxv-13b-0.9.7-distilled-GGUF
