Make something fun with LightX2V ✨🪐 Studio: x2v.light-ai.top/en Discord: discord.gg/eBrnUrYwhx Github🔍: github.com/ModelTC/LightX2V
San Francisco
- Tweets 182
- Following 163
- Followers 45
- Likes 204
Pinned Tweet
15s of MiniMax-H3 video + audio, generated in ~72s on one RTX 5090.
Our baseline took ~26 minutes. We wrote up how LightX2V got it down to 72s 👇
768×1344, steady-state benchmark. MP4 export and network transfer excluded.
7
2
9
3,144
Your RTX 5090 has a new side quest 👀
Real-time AI video generation with EdenLive 5B, powered by LightX2V. We measured ~24.7 inference FPS at 1280×704 on one card after warmup.
Grab the code from the original post, give it a spin, and show us what you build!
LightX2V powers real-time EdenLive on a single RTX 5090 ⚡
Our team built the acceleration that makes this setup possible. 🥳 Proud to play a key role in bringing EdenLive to the community, and big thanks to the VAST team for open-sourcing it!
Got an RTX 5090?
Grab the code and try EdenLive locally with LightX2V. We’d love to hear how it runs for you! 🙌
👉 Try it with LightX2V: github.com/ModelTC/LightX2V/…
🌱 Explore EdenLive: github.com/VAST-AI-Research/…
1
61
LightX2V powers real-time EdenLive on a single RTX 5090 ⚡
Our team built the acceleration that makes this setup possible. 🥳 Proud to play a key role in bringing EdenLive to the community, and big thanks to the VAST team for open-sourcing it!
Got an RTX 5090?
Grab the code and try EdenLive locally with LightX2V. We’d love to hear how it runs for you! 🙌
👉 Try it with LightX2V: github.com/ModelTC/LightX2V/…
🌱 Explore EdenLive: github.com/VAST-AI-Research/…
Made with AI
2
124
“Stay With Me~”
hits different under neon lights 🌆🎶
Made with the LightX2V Studio API, combining our singing avatar model with MiniMax-H3 for the story scenes.
We handed the script, shot planning, transitions and API calls over to Codex.
Turns out making an AI music video can involve a lot less clicking!!!
#AIMusicVideo #AIAvatar #LightX2V
1
4
274
⚡ Meet LightX2V APP — an open-source macOS app for running Qwen-Image-2.1-Turbo locally, with optional Prompt Enhancement.
🛠️ Powered by LightX2V for image generation and llama.cpp for Prompt Enhancement.
🎨 Create images from text, refine them with references, and keep your creations on your Mac. Tested on an M4 Pro with 24GB unified memory.
💻 Download the app, explore the code, and make it your own:
github.com/ModelTC/LightX2V-…
#LightX2V #llamacpp #QwenImage #LocalAI #OpenSource #macOS
2
7
169
Less waiting for your AI videos 🙌
Meet LightVAE: up to 4.2× faster VAE decoding for Wan2.1, Wan2.2 and MiniMax-H3.
Code, weights and ComfyUI workflows are open source. Give it a spin and let us know how it runs on your setup!
🚀 We're excited to release LightVAE! The first framework to accelerate both video VAE encoding and decoding.
⚡ Up to 4.2× faster VAE decoding! MiniMax-H3 reference-image encoding is also up to 2.68× faster.
✨ Supports Wan2.1, Wan2.2, and MiniMax-H3, with high-fidelity and lightweight variants that largely preserve generation quality.
🧩 Temporal low-rank compression, block pruning, and teacher-guided quality recovery. Code, model weights, and ComfyUI workflows are all open source!
🙌 Check it out and give it a try—we'd love to hear your feedback!
📄 Paper: LightVAE: Towards Compact and Efficient Video Autoencoders
🤗 Model weights: huggingface.co/lightx2v/Ligh…
⭐ Code and ComfyUI workflows: github.com/ModelTC/LightVAE
2
1
224
📜Paper: LightVAE: arxiv.org/abs/2610.14726
🤗 Weights: huggingface.co/lightx2v/Ligh…
🔧 Code & ComfyUI workflows: github.com/ModelTC/LightVAE
29
Run Qwen-Image-2.1-Turbo locally on your Mac 💻
Here’s what we measured on an Apple M4 Pro with 24GB unified memory, using 8 inference steps:
• 512 resolution: 38s total, 3.3s per denoising step
• 1K: 118s total, 13.1s per step
• 2K: 622s total, 72.7s per step
These timings exclude prompt enhancement. In our tests, prompt quality made a big difference, so we recommend keeping enhancement enabled. It adds about a minute via llama.cpp on this setup.
Want to try local AI image generation?
LightX2V APP runs on Apple Silicon, with Qwen-Image-2.1-Turbo and built-in prompt enhancement:
💫💫Get the Mac app：
github.com/ModelTC/LightX2V-…
Building your own workflow?
The LightX2V inference framework supports Qwen-Image-2.1 on NVIDIA, AMD, Apple Silicon, and other chips:
💫💫Explore LightX2V：github.com/ModelTC/LightX2V
Both repos are open source. 🔥🔥
Give them a try and tell us how they run on your setup. Feedback and contributions are always welcome 🙌
3
6
220
Turn a group image into a conversation with LightX2V Studio.🦋
Give each character a voice.
Create in Free Mode or Agent Mode, or build it into your app with the LightX2V Studio API.
2
2
5
100
AI image generation, right on your Mac 💻
LightX2V APP is here! Run Qwen-Image-2.1-Turbo locally on Apple Silicon, with text-to-image and image-to-image support.
Give it a try. Show us what you make 👀
Download LightX2V APP 👇🏻👇🏻👇🏻
github.com/ModelTC/LightX2V-…
1
4
97
Run Qwen-Image-2.1-Turbo locally on your Mac 🍎
LightX2V now supports AI image generation on Apple Silicon via MPS — merged into main.
Running it on your Mac? Share your chip, memory, and results. We’d love to hear how it goes.
#LightX2V #QwenImage
github.com/ModelTC/LightX2V/…
1
6
202
15s of MiniMax-H3 video + audio, generated in ~72s on one RTX 5090.
Our baseline took ~26 minutes. We wrote up how LightX2V got it down to 72s 👇
768×1344, steady-state benchmark. MP4 export and network transfer excluded.
7
2
9
3,144
Try it online now! 🎬
Create with MiniMax H3, Wan 2.2, SekoTalk, Qwen-Image, SwiftVR, and more in LightX2V Studio.
No installation needed. Come see what you can make!
👉 x2v.light-ai.top/en
2
105