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XonarLabs/OLOID_Framework

sourceHugging Faceapache-2.0updated 7mo agoView on Hugging Face
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OLOID Framework

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About OLOID

OLOID Framework is an open-source LoRA framework for automotive design generation.

Built on Flux.1 dev, it is designed for agent retrieval and invocation, aiming to hand over the tedious parameter-tuning process in design gacha (LoRA stacking + seed sampling) workflows to agents and free up designers’ time. It also supports manual combination and use by designers.

Framework Structure

The current release includes 49 LoRAs, organized across four dimensions and designed to be combined based on different design goals. For example: PRD (define volume) + CRT (add form language) + INS (expand creative possibilities) + VIS (control visual output)

DimensionCodeRole
ProductionPRDProduction-oriented volume, proportion, and structural foundation
CreativeCRTAdvances form language and design variation
InspirationINSIntroduces cross-domain design language and additional stimulus
VisualsVISControls image style, material feel, and overall visual impression

A full structural overview is shown below: [image] Figure: Full structure across PRD / CRT / INS / VIS and EXT / INT / PART.

Index

For each LoRA’s trigger words, reference prompts, and recommended weights, please refer to the index:

Download

  • —Download them in the Files & versions tab.

Project Status

The current phase of OLOID on Flux.1 has been completed. We have already moved on to exploring next-generation model training and a more complete agent-oriented workflow, so this generation will no longer be updated. Feedback and testing are welcome.

For discussions around AI generation systems for automotive design, please contact OkeyDesign: hello@okeydesign.com For custom training, agent-related and other technical topics, please contact XonarLabs: info@xonarlabs.com

License

This model is built on FLUX.1 dev. Usage may be subject to the base model's license restrictions.

Credits

OkeyDesign & XonarLabs