OLOID_Framework / README.md
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---
tags:
- text-to-image
- lora
- diffusers
- template:diffusion-lora
- flux
- flux.1-dev
- automotive-design
- industrial-design
- design
- agent-friendly
widget:
- output:
url: assets/covers/CRT_Ext_SUV_Rough.webp
text: 'xonar_ext_SUV_rough, A professional studio photography of a SUV, silver metallic gloss paint, 8k resolution, cinematic lighting, dark grey studio background.'
- output:
url: assets/covers/CRT_Int_Concept2.webp
text: 'xonar_int_concept, Photograph of a futuristic car interior with a sleek, minimalist design. The dashboard features a red and black color scheme with a white steering wheel and a central console. The seats are upholstered in light gray fabric with red accents. The background shows a sandy, desert-like terrain.'
- output:
url: assets/covers/INS_Inspiration01.webp
text: 'xonar_ext_odd, A professional studio photography of a concept car, silver metallic gloss paint, 8k resolution, cinematic lighting, dark grey studio background.'
base_model: black-forest-labs/FLUX.1-dev
instance_prompt: null
license: apache-2.0
language:
- en
- zh
pipeline_tag: text-to-image
---
# OLOID Framework
<Gallery />
<!-- README.md -->
[English](./README.md) | [中文](./README.zh-CN.md)
## 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)
| Dimension | Code | Role |
| --- | --- | --- |
| Production | PRD | Production-oriented volume, proportion, and structural foundation |
| Creative | CRT | Advances form language and design variation |
| Inspiration | INS | Introduces cross-domain design language and additional stimulus |
| Visuals | VIS | Controls image style, material feel, and overall visual impression |
A full structural overview is shown below:
![Structure](./assets/Structure.webp)
*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:
- [Huggingface](./INDEX.md)
- [Feishu Doc](https://ucnd3tftqho9.feishu.cn/wiki/UUe5wZy9CiaQspkNEErcuzMqnie)
## Download
- [Download](/XonarLabs/OLOID_Framework/tree/main) 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