Yuanshi9815/OminiControl
A minimal universal control framework for Diffusion Transformer models to enable flexible conditioning in image generation tasks.
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OminiControl provides a unified approach to condition diffusion transformers for image generation, supporting diverse control signals like subject identity preservation and spatial layout. The framework includes OminiControl2 for efficient conditioning optimization. The repository offers model weights, training code, and interactive demos on HuggingFace.
Frequently asked
- What is Yuanshi9815/OminiControl?
- A minimal universal control framework for Diffusion Transformer models to enable flexible conditioning in image generation tasks.
- Is OminiControl open source?
- Yes — Yuanshi9815/OminiControl is open source, released under the Apache-2.0 license.
- What language is OminiControl written in?
- Yuanshi9815/OminiControl is primarily written in Python.
- How popular is OminiControl?
- Yuanshi9815/OminiControl has 1.9k stars on GitHub.
- Where can I find OminiControl?
- Yuanshi9815/OminiControl is on GitHub at https://github.com/Yuanshi9815/OminiControl.