Instructions to use Mntamim1/LTX-2.3-Workflows with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- LTX.io
How to use Mntamim1/LTX-2.3-Workflows with LTX.io:
# Install the LTX-2 pipelines git clone https://github.com/Lightricks/LTX-2.git cd LTX-2 uv sync --frozen
# Download the weights from this repo, plus the Gemma text encoder hf download Mntamim1/LTX-2.3-Workflows --local-dir models/LTX-2.3-Workflows hf download google/gemma-3-12b-it-qat-q4_0-unquantized --local-dir models/gemma-3-12b
# Fast pipeline (distilled model, no distilled LoRA needed) uv run python -m ltx_pipelines.distilled \ --distilled-checkpoint-path models/LTX-2.3-Workflows/<distilled-checkpoint>.safetensors \ --spatial-upsampler-path models/LTX-2.3-Workflows/<spatial-upsampler>.safetensors \ --gemma-root models/gemma-3-12b \ --prompt "A beautiful sunset over the ocean" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8# HQ pipeline (two-stage, higher quality) uv run python -m ltx_pipelines.ti2vid_two_stages_hq \ --checkpoint-path models/LTX-2.3-Workflows/<checkpoint>.safetensors \ --distilled-lora models/LTX-2.3-Workflows/<distilled-lora>.safetensors 0.8 \ --spatial-upsampler-path models/LTX-2.3-Workflows/<spatial-upsampler>.safetensors \ --gemma-root models/gemma-3-12b \ --prompt "A beautiful sunset over the ocean" \ --output-path output.mp4 # For image-to-video, add: --image path/to/image.jpg 0 0.8 - Notebooks
- Google Colab
- Kaggle
The workflows are based on the extracted models from https://huggingface.co/Kijai/LTX2.3_comfy The extracted models might run easier on your computer (as separate files). (but you can easily swap out the model loader for the ComfyUI default model loader if you want to load the checkpoint with "all in one" vae built-in etc)
LTX-2.3 Main Model Downloads (split models):
- Main split models used in these workflows (LTX-2.3 dev & distilled safetensor, embeddings, audio & video vae & tiny vae): https://huggingface.co/Kijai/LTX2.3_comfy
Gemma - either safetensor or GGUF:
Gemma 3 12B it safetensor: https://huggingface.co/Comfy-Org/ltx-2/tree/main/split_files/text_encoders
Gemma 3 12B it GGUF: https://huggingface.co/unsloth/gemma-3-12b-it-GGUF/
Upscale Model
- ltx-2.3-spatial-upscaler (only need the 2x file) - : https://huggingface.co/Lightricks/LTX-2.3/tree/main
LTX-2.3 GGUF models (for GGUF workflows) - one of the source below:
- Quantstack: https://huggingface.co/QuantStack/LTX-2.3-GGUF
- Unsloth : https://huggingface.co/unsloth/LTX-2.3-GGUF
- Vantage : https://huggingface.co/vantagewithai/LTX-2.3-GGUF
Tiny Vae by madebyollin (for sampler previews): (Optional/Recommended. Without this vae you still get previews with latentrgb from KJnodes, at a lower res)
If you are unsure where to put the files see here
Needed nodes:
https://github.com/kijai/ComfyUI-KJNodes (NB! Must be up to date for LTX-2 support)
https://github.com/city96/ComfyUI-GGUF (NB! Must be up to date for LTX-2 support)
ComfyUI itself must be updated to very latest
LTX-2.3
Lighttricks LTX-2.3 main repro: https://huggingface.co/Lightricks/LTX-2.3
Lightricks LTX-2.3 Collection (loras etc): https://huggingface.co/collections/Lightricks/ltx-23
More workflows :
ComfyUI Official Workflows : https://blog.comfy.org/p/ltx-23-day-0-supporte-in-comfyui
LTX-2 Video Official Workflows : https://github.com/Lightricks/ComfyUI-LTXVideo/tree/master/example_workflows/2.3
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