How to use from the
Use from the
MLX library
# Download the model from the Hub
pip install huggingface_hub[hf_xet]

huggingface-cli download --local-dir LTX-2.5-Distilled-BF16-MLX-Q4-Text Sawfwair/LTX-2.5-Distilled-BF16-MLX-Q4-Text

LTX 2.5 Distilled BF16 for mere.run

This is the self-contained, inference-only LTX 2.5 Distilled package used by mere.run on Apple Silicon. It is derived from the immutable Lightricks/LTX-2.5 revision dd53cc2cd45bbeaa3563dfb575cba3f49cf44761.

The video transformer remains BF16. Its tensor payload bytes are copied into mere.run's native module-key namespace and physical order so installation does not retain an upstream checkpoint beside a generated optimization cache. The Gemma 4 language tower uses MLX affine Q4/group-64 for eligible language weights; the LTX projection and tokenizer assets remain BF16/raw.

Contents

  • native BF16 distilled transformer and shared connector;
  • MLX Q4 Gemma 4 text tower with BF16 LTX projection;
  • convolutional video VAE, audio VAE/vocoder, spatial upsampler, and duration head;
  • governing LTX and Gemma license and notice files.

There are no ComfyUI INT8, NVFP4, dev-transformer, DiffVAE, temporal-upscaler, or training artifacts in this distribution.

Use

mere.run model pull video-ltx25-distilled-bf16 --accept-model-license
mere.run video generate \
  "a clockwork observatory turns beneath a starry sky" \
  --model video-ltx25-distilled-bf16 \
  --output-mode audio-video \
  --output observatory.mp4

No local conversion, re-keying, or mere.run model optimize step is required.

Terms

LTX 2.5 is governed by the LTX-2 Community License Agreement and Acceptable Use Policy included in this repository. The bundled Gemma 4 weights are governed by the included Gemma terms. Review all terms before use or redistribution.

Downloads last month

-

Downloads are not tracked for this model. How to track
MLX
Hardware compatibility
Log In to add your hardware

Quantized

Inference Providers NEW
This model isn't deployed by any Inference Provider. ๐Ÿ™‹ Ask for provider support

Model tree for Sawfwair/LTX-2.5-Distilled-BF16-MLX-Q4-Text

Finetuned
(29)
this model