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SkyworkAI/Vitron

0
View on GitHub↗
577 stars·34 forks·Python·10 viewsvitron-llm.github.io↗

Vitron

NeurIPS 2024 Paper

Features

  • Unified Models - Unified vision-language model for generation and editing.
  • Unified Multimodal Models - Multimodal model for vision and language tasks.
  • Unified Understanding and Generation - Hybrid instruction method for discrete text and continuous visual signals.

Star history

Star history chart for skyworkai/vitronStar history chart for skyworkai/vitron

How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.

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Open-source alternatives to Vitron

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See all 15 alternatives to Vitron→

Frequently asked questions

What does skyworkai/vitron do?

NeurIPS 2024 Paper

What are the main features of skyworkai/vitron?

The main features of skyworkai/vitron are: Unified Models, Unified Multimodal Models, Unified Understanding and Generation.

What are some open-source alternatives to skyworkai/vitron?

Open-source alternatives to skyworkai/vitron include: deepseek-ai/janus — Janus is a multimodal large language model and unified framework that integrates visual understanding and image… alpha-vllm/lumina-dimoo — Lumina-DiMOO: An Omni Diffusion Large Language Model for Multi-Modal Generation and Understanding. bytedance/lance — A 3B-active-parameter native unified multimodal model for image and video understanding, generation, and editing. byteflow-ai/tokenflow — [CVPR 2025] 🔥 Official impl. of "TokenFlow: Unified Image Tokenizer for Multimodal Understanding and Generation". facebookresearch/tuna-2 — Official implementation of Tuna-2: Pixel Embeddings Beat Vision Encoders for Unified Understanding and Generation. lehduong/onediffusion.