Instructions to use xocialize/ltx-2.3-mlx with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use xocialize/ltx-2.3-mlx with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download xocialize/ltx-2.3-mlx --local-dir ltx-2.3-mlx
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Commit History
12 days ago
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Add vae_decoder_pruna.safetensors — PrunaAI's lean video decoder, converted (provenance, licence, SHA-256 in the card)
Verified signaturePrunaAI/PrunaVAED @ 4baacd7 converted 2026-07-31 with scripts/convert_pruna_vae_decoder.py (key mapping + conv transposition, no value changes). Redistributed under the LTX-2 Community License Agreement like every other file here; the card section is the §3.3 modification notice. Hosted so the Swift port can make it the default decoder on the low tiers (AB-T-0297, AB-R-0561, AB-R-0562).c0a5bb3
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upscaler variant: temporal_upscaler_x2_v1_0.safetensors (completes the x1.5 / temporal-x2 two-stage paths)
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upscaler variant: spatial_upscaler_x1_5_v1_0.safetensors (completes the x1.5 / temporal-x2 two-stage paths)
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Upload transformer-distilled.safetensors with huggingface_hub
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Upload connector.safetensors with huggingface_hub
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Upload spatial_upscaler_x2_v1_1.safetensors with huggingface_hub
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Upload vae_decoder.safetensors with huggingface_hub
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Upload vae_encoder.safetensors with huggingface_hub
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Upload vocoder.safetensors with huggingface_hub
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Upload audio_vae.safetensors with huggingface_hub
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Upload folder using huggingface_hub
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initial commit
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