Gestura-MiniMax-H3-VAE-LiteRT
ZawShiShawn/Gestura-MiniMax-H3-VAE-LiteRT
- 作者
- ZawShiShawn
- 任务
- 视频生成
- 下载量
- 106,122
- 点赞数
- 1
- 趋势分
- 0
- 许可证
- other
- 收录时间
- 2026/11/4
license: other license_name: minimax-h3-community license_link: LICENSE base_model:
- MiniMaxAI/MiniMax-H3 tags:
- android
- video
- quantized
- text-to-video
- image-to-video
- video-to-video
- tflite
- litert
- vae
Gestura-MiniMax-H3-VAE-LiteRT
Gestura app capabilities and measured performance
| Generation mode | Input | 256 × 256 | 384 × 384 | Audio |
|---|---|---|---|---|
| Text-to-video (T2VA) | Text prompt | Preview, 5 s, 10 s | 5 s | Yes |
| First-frame image-to-video (I2VA) | Text prompt + one image | Preview, 5 s, 10 s | 5 s | Yes |
| Reference-conditioned video (REF2VA) | Text prompt + up to two reference inputs, at most one video | Preview, 5 s, 10 s (10 s: no video references) | — | Yes |
App-level measurements on Samsung Galaxy S26 (SM-S9420), 256 × 256, 5-second output option (124 frames), 24 fps:
| App input mode | Approximate generation time |
|---|---|
| Text → video with audio | ~431 s (7 min 11 s) |
| First-frame image → video with audio | ~460 s (7 min 40 s) |
| Two reference images → video with audio | ~601 s (10 min 01 s) |
Whole-app generation times; performance varies by input and device conditions.
Related models
| Repository | Contents |
|---|---|
| FastH3 LiteRT | FastH3 denoising graphs and weights |
| Video VAE LiteRT (this repository) | INT8 video encoder and decoder |
| FastH3 GGUF | Q4_K_M denoising model |
| REF2VA Delta | Reference-conditioned generation weight-delta package |
| Video VAE GGUF | Q8_0 video VAE |
On-device video examples
Four screen recordings from Gestura on Samsung Galaxy S26, showing generated video with audio.
Download Gestura
Gestura is an Android app for on-device AI generation, including text-to-video, first-frame image-to-video and reference-conditioned video with audio. The models in these repositories were converted or packaged during its development.
Model overview
INT8 video VAE encoder and decoder graphs converted from MiniMax H3. The encoder maps reference frames into video latents; the decoder turns generated latents into video frames. The split graphs allow applications to execute the VAE in stages.
These assets were converted or packaged during Gestura development and are available for integration into other projects under the licenses below.
| Property | Value |
|---|---|
| Format | TensorFlow Lite / INT8 weights |
| Model payload size | 3.01 GB (decimal) |
| Model payload files | 82 |
| Integrity metadata | files.json, with sizes and SHA-256 hashes |
Repository contents
| Path | Contents |
|---|---|
int8-source-direct-v1/ | Split decoder graphs |
int8-causal-encoder-v1/ | Causal encoder graphs with 1-, 5- and 17-frame variants |
int8-full384-shared-v2/ | Decoder graph set for 384-resolution processing |
Model usage
Load the encoder or decoder graph set with LiteRT CompiledModel. Inspect each graph signature for tensor names, shapes and dtypes, and connect the split stages in graph order. The encoder uses THWC layout and produces posterior-mean latents. Keep any external weight files beside their graph set. A host pipeline supplies latent normalization, temporal state and frame assembly; this repository contains the VAE assets.
License and attribution
The model assets remain subject to the MiniMax H3 Community License Agreement, including its Acceptable Use Policy (Exhibit A). Read the complete LICENSE and NOTICE; this summary does not replace them.
- Territory restrictions exclude the European Union, United Kingdom, Republic of Korea and United States; separate authorization is needed for uses not granted by the agreement.
- Annual commercial revenue above USD 20 million requires prior written MiniMax authorization. Commercial products/services must prominently display MiniMax H3 in their UI.
- Redistribution requires the agreement, attribution and modification notices. Downstream terms, access/use safeguards and abuse reporting obligations also apply.
- The agreement restricts improving other AI models, imposes acceptable-use rules, and requires disclosure of publicly shared AI-generated content. Warranty, liability, termination and other provisions remain applicable.
Converted or packaged by Gestura; original model rights remain with the respective upstream owners. No upstream endorsement is implied.
Upstream: MiniMaxAI/MiniMax-H3 · ChrisColeTech/minimax-h3-turbo-GGUF.
内容来源:Hugging Face 模型卡
在 Hugging Face 查看