| --- |
| license: other |
| license_name: ltx-2.3 |
| license_link: https://huggingface.co/Lightricks/LTX-2.3/blob/main/LICENSE |
| base_model: Lightricks/LTX-2.3 |
| library_name: mlx |
| pipeline_tag: image-to-video |
| language: |
| - en |
| tags: |
| - mlx |
| - video |
| - image-to-video |
| - text-to-video |
| - ltx |
| - apple-silicon |
| - 8-bit |
| - quantized |
| --- |
| |
| <div align="center"> |
| <picture> |
| <source media="(prefers-color-scheme: dark)" srcset="https://huggingface.co/exeterminal/Exe-Motion-Dynamic-V1-MLX/resolve/main/exe-chevron-dark.png"> |
| <img src="https://huggingface.co/exeterminal/Exe-Motion-Dynamic-V1-MLX/resolve/main/exe-chevron-light.png" alt="Exe AI" width="72"> |
| </picture> |
| <h1>Exe AI</h1> |
| <a href="https://exe-hq.net"><b>exe-hq.net</b></a> |
| </div> |
| |
| --- |
|
|
| <div align="center"> |
| <img src="exe-motion-dynamic-hero.png" alt="Exe Motion Dynamic V1 — local image-to-video for Apple Silicon" width="100%"> |
| </div> |
|
|
| # Exe Motion Dynamic V1 |
|
|
| The video model of **Exe Motion**, built to run local on an Apple Silicon Mac. |
| It is **LTX-2.3 (22B distilled)** with one change that matters on a 64 GB |
| machine: the text encoder is quantized to **8-bit**, so the part that used to |
| be the memory spike of a run is now a quarter of its size. |
| **Website to the Main AI Agent Harness: https://exe-hq.net** |
|
|
| Everything runs on-device through [MLX](https://github.com/ml-explore/mlx) — no |
| cloud, no upload of your images or prompts. |
|
|
| ## What was quantized |
|
|
| <div align="center"> |
| <img src="exe-motion-dynamic-quant.png" alt="Bar chart: the text encoder shrinks from 46 GB in F32 to 12.5 GB in 8-bit, four times smaller" width="80%"> |
| </div> |
|
|
| The Gemma text encoder shipped in **F32** and, at ~46 GB, was the biggest single |
| thing a run had to hold. It is loaded, used to read the prompt, then freed |
| before the transformer runs — so its size sets the peak. Quantizing it to 8-bit |
| takes it to **12.5 GB**, resident, without touching the transformer. |
|
|
| | Part | Before | After | |
| |---|---:|---:| |
| | Text encoder (Gemma) | 46 GB · F32 | **12.5 GB · 8-bit** | |
| | Transformer (22B distilled) | 35 GB | 35 GB · unchanged | |
| | Whole model on disk | ~89 GB | **~55 GB** | |
|
|
| The transformer is left at full precision on purpose: the runtime has no |
| quantized path for it, and a quantized copy would not load. The encoder is where |
| the win is, and it is the honest one. |
|
|
| ## What it does |
|
|
| Image-to-video and text-to-video at up to 720p. Frame count drives the length |
| (24 fps); resolution is free in steps of 64. A distilled fast path keeps steps |
| low; there is no separate turbo weight to install. |
|
|
| ## Recommended settings |
|
|
| - **Resolution**: 1280×704 is the default; drop it for longer clips or to save |
| memory. |
| - **Frames**: `8n+1` (81 ≈ 3.4 s, 121 ≈ 5 s). Longer needs more memory. |
| - **Apple Silicon**: long runs on a 64 GB machine still benefit from raising the |
| Metal working-set limit before starting: |
| `sudo sysctl iogpu.wired_limit_mb=59392`. |
|
|
| ## Files |
|
|
| A whole, assembled build — nothing to convert or borrow: |
|
|
| ``` |
| transformer/ 22B distilled, bf16 |
| text_encoder/ Gemma, 8-bit (this build's change) |
| text_projections/ connectors |
| vae/ audio_vae/ vocoder/ tokenizer/ |
| ``` |
|
|
| ## License |
|
|
| Weights inherit the license of the base model, |
| [Lightricks/LTX-2.3](https://huggingface.co/Lightricks/LTX-2.3). See the linked |
| LICENSE for terms. |
|
|
