Image-Text-to-Video
MLX
LTX-2
AudioVideo
ltx-2
text-to-video
image-to-video
video-generation
apple-silicon
quantized
int8
distilled
Not-For-All-Audiences
Instructions to use MLXBits/ltx-2.3-10eros-v1.2-dmd-mlx-q8 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use MLXBits/ltx-2.3-10eros-v1.2-dmd-mlx-q8 with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] huggingface-cli download --local-dir ltx-2.3-10eros-v1.2-dmd-mlx-q8 MLXBits/ltx-2.3-10eros-v1.2-dmd-mlx-q8
- LTX-2
How to use MLXBits/ltx-2.3-10eros-v1.2-dmd-mlx-q8 with LTX-2:
# 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 MLXBits/ltx-2.3-10eros-v1.2-dmd-mlx-q8 --local-dir models/ltx-2.3-10eros-v1.2-dmd-mlx-q8 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-2.3-10eros-v1.2-dmd-mlx-q8/<distilled-checkpoint>.safetensors \ --spatial-upsampler-path models/ltx-2.3-10eros-v1.2-dmd-mlx-q8/<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-2.3-10eros-v1.2-dmd-mlx-q8/<checkpoint>.safetensors \ --distilled-lora models/ltx-2.3-10eros-v1.2-dmd-mlx-q8/<distilled-lora>.safetensors 0.8 \ --spatial-upsampler-path models/ltx-2.3-10eros-v1.2-dmd-mlx-q8/<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
- Local Apps Settings
- LM Studio
- Atomic Chat
- Xet hash:
- 8a8854b08450bbd933c175604dec36b4d92bd60728299b1e7a0e16c96078d79d
- Size of remote file:
- 6.34 GB
- SHA256:
- 5885c2bd7af4e761b3257cf5b17bc1fdb2d187cea3ca520ea723b6a129b7029f
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