Instructions to use X-ART/LeX-Lumina with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use X-ART/LeX-Lumina with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("X-ART/LeX-Lumina", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -46,4 +46,13 @@ image.save("lex_lumina_demo.png")
|
|
| 46 |
|
| 47 |
See also:
|
| 48 |
* [Project page](https://zhaoshitian.github.io/lexart/)
|
| 49 |
-
* [Code](https://github.com/zhaoshitian/LeX-Art)
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 46 |
|
| 47 |
See also:
|
| 48 |
* [Project page](https://zhaoshitian.github.io/lexart/)
|
| 49 |
+
* [Code](https://github.com/zhaoshitian/LeX-Art)
|
| 50 |
+
|
| 51 |
+
```BibTeX
|
| 52 |
+
@article{zhao2025lexart,
|
| 53 |
+
title={LeX-Art: Rethinking Text Generation via Scalable High-Quality Data Synthesis},
|
| 54 |
+
author={Zhao, Shitian and Wu, Qilong and Li, Xinyue and Zhang, Bo and Li, Ming and Qin, Qi and Liu, Dongyang and Zhang, Kaipeng and Li, Hongsheng and Qiao, Yu and Gao, Peng and Fu, Bin and Li, Zhen},
|
| 55 |
+
journal={arXiv preprint arXiv:2503.21749},
|
| 56 |
+
year={2025}
|
| 57 |
+
}
|
| 58 |
+
```
|