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LightX2V is an advanced lightweight image/video generation inference framework engineered to deliver efficient, high-performance image/video synthesis solutions. This unified platform integrates multiple state-of-the-art image/video generation techniques, supporting diverse generation tasks including text-to-video (T2V), image-to-video (I2V), text-to-image (T2I), image-editing (I2I). X2V represents the transformation of different input modalities (X, such as text or images) into vision output (Vision).
Quick Start · Models · Documentation & Deployment
🌐 Try the LightX2V-powered AI avatar and multimodal content production platform online: LightX2V Studio
🍎 MacBook local inference app: LightX2V APP
🤗 HuggingFace Model Repository: LightX2V HuggingFace
🌟 Developer Quick Start: LightX2V Developer Quick Start Guide
📝 Technical Blog: LightX2V Blog
👋 Join our WeChat group! LightX2V Robot WeChat ID: Jo-1212liz
🧾 Community Code Contribution Guidelines
Before submitting, please ensure that the code format conforms to the project standard. You can use the following execution command to ensure the consistency of project code format.
pip install ruff pre-commit
pre-commit run --all-files
We thank the following community developers for their contributions to LightX2V:
zhtshr · triple-Mu · vivienfanghuagood · yeahdongcn · kikidouloveme79 · ziyanxzy · Tyr0727 · hufangjian2017 · Fatemanx · qiuxin2012 · ZhengXinwei-F
:fire: Latest News
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November 11, 2026: 🚀 We now support MiniMax-H3-Image for text-to-image generation and reference-image generation/editing with one or multiple reference images. We support TP/SP parallelism and CPU offload. See the usage guide for CLI and serving examples.
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October 26, 2026: 🚀 Added autoregressive inference for TaoMate-H3, StreamRender-H3, Matrix-Game-4, LingBot-Fast, and Realtime-Video. Model-specific scripts and BF16/FP8 profiles are available in the linked directories.
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October 18, 2026: 🚀 We now support EdenLive for video generation controlled by text, a first-frame image, and a proxy recording. Wan2.1 14B and Wan2.2 5B each support bidirectional and four-step autoregressive inference, with realtime profiles for RTX 5090 and H100/H200. See the deployment guide for model conversion, quantization, and streaming inference.
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October 13, 2026: 🎉 We released the LightX2V APP, which supports local inference on MacBook with Qwen-Image-2.1 Turbo, PE-T2I GGUF Q8_0, and PE-I2I GGUF Q8_0 models.
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September 22, 2026: 🚀 We added and optimized support for SwiftVR, covering image and video restoration and super-resolution. See the .
- August 7, 2026: 🚀 We added support for synchronized video and audio generation with MiniMax-H3 and released a Prompt Rewriter LoRA that expands short prompts into structured descriptions of visuals, soundscapes, and music. See the MiniMax-H3 guide.
This is the beginning of the README. Read the rest at the original. Read the full README ↗
