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
File size: 338 Bytes
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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.
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