Instructions to use Qwen/Qwen-Image with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Qwen/Qwen-Image with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Qwen/Qwen-Image", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Inference
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
Update README.md
Browse files
README.md
CHANGED
|
@@ -126,14 +126,4 @@ We kindly encourage citation of our work if you find it useful.
|
|
| 126 |
journal={arXiv preprint},
|
| 127 |
year={2025}
|
| 128 |
}
|
| 129 |
-
```
|
| 130 |
-
|
| 131 |
-
|
| 132 |
-
## Contact and Join Us
|
| 133 |
-
|
| 134 |
-
|
| 135 |
-
If you'd like to get in touch with our research team, we’d love to hear from you! Join our [Discord](https://discord.gg/z3GAxXZ9Ce) or scan the QR code to connect via our [WeChat groups](assets/wechat.png) — we’re always open to discussion and collaboration.
|
| 136 |
-
|
| 137 |
-
If you have questions about this repository, feedback to share, or want to contribute directly, we welcome your issues and pull requests on GitHub. Your contributions help make Qwen-Image better for everyone.
|
| 138 |
-
|
| 139 |
-
If you’re passionate about fundamental research, we’re hiring full-time employees (FTEs) and research interns. Don’t wait — reach out to us at fulai.hr@alibaba-inc.com
|
|
|
|
| 126 |
journal={arXiv preprint},
|
| 127 |
year={2025}
|
| 128 |
}
|
| 129 |
+
```
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|