Text-to-Image
Diffusers
English
Chinese
lora
template:diffusion-lora
flux
flux.1-dev
automotive-design
industrial-design
design
agent-friendly
Instructions to use XonarLabs/OLOID_Framework with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use XonarLabs/OLOID_Framework with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("black-forest-labs/FLUX.1-dev", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("XonarLabs/OLOID_Framework") prompt = "xonar_ext_SUV_rough, A professional studio photography of a SUV, silver metallic gloss paint, 8k resolution, cinematic lighting, dark grey studio background." image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| 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: | |
|  | |
| *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 |