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Lance
Lance is an open source 3B native unified multimodal model for image and video understanding, generation, and editing.
Lance is a research project and native unified multimodal model developed by ByteDance with 3B active parameters. It supports image and video understanding, generation, and editing within a single framework. The model is trained from scratch with a staged multi-task recipe and runs inference using PyTorch and vLLM-Omni. It is designed for researchers and developers working on multimodal tasks, offering capabilities across tasks like text-to-image, text-to-video, image-to-video, image editing, video editing, and visual understanding. Users can run the software locally via Python, a Gradio interface, or download model weights from Hugging Face.
Lance at a glance
- Best for: Software engineer, Designer
- Runs on: Web, Linux, API, CLI, self-hosted, open source
- Pricing: Free
- Released: May 2026
- Category: AI image tool
- Website: github.com/bytedance/Lance
Key features
- Text-to-video generation
- Text-to-image generation
- Image-to-video generation
- Image editing
- Video editing
- Image understanding and captioning
- Video understanding and captioning
Use it for
- Generating videos from text prompts
- Editing existing images and videos
- Answering questions about images and videos
- Generating images from text prompts
Alternatives to Lance
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- PromptEnhancer — Restructures prompts while preserving original intent for downstream image tasks.
- Pixel2Motion — Generates clean semantic SVGs and deterministic motion QA evidence from static images.
- getimg.ai — Generates images, videos, music, and speech using leading AI models in one subscription.
- Ooosplat — Runs entirely on local hardware without uploading files to cloud services.
- Eagle — It provides data-centric strategies for advanced multimodal research.
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