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Sawfwair/LTX-2.5-Distilled-BF16-MLX-Q4-Text
LTX-2.5-Distilled-BF16-MLX-Q4-Text is a text-to-video model from Sawfwair. Use it when you need video from a text prompt. It is set up for mlx. The card lists the license as other.
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.
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Updated Aug 29, 2026
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From the Hugging Face model README
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.
There are no ComfyUI INT8, NVFP4, dev-transformer, DiffVAE, temporal-upscaler, or training artifacts in this distribution.
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.
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.