Instructions to use MATRIX-XMD/Xmd with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use MATRIX-XMD/Xmd with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0", dtype=torch.bfloat16, device_map="cuda") pipe.load_lora_weights("MATRIX-XMD/Xmd") prompt = "-" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
| tags: | |
| - text-to-image | |
| - lora | |
| - diffusers | |
| - template:diffusion-lora | |
| widget: | |
| - text: '-' | |
| output: | |
| url: images/donate.jpg | |
| base_model: Shakker-Labs/FLUX.1-dev-ControlNet-Union-Pro-2.0 | |
| instance_prompt: null | |
| # Bot | |
| <Gallery /> | |
| ## Download model | |
| [Download](/MATRIX-XMD/Xmd/tree/main) them in the Files & versions tab. | |