Instructions to use raza2/abrazaq with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use raza2/abrazaq with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("raza2/abrazaq", 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
- Draw Things
- DiffusionBee
- Xet hash:
- c4016ed4c7764f735fbdd3668bfc6f253e09eb281fb5a1b67f1c2503fcee91b6
- Size of remote file:
- 492 MB
- SHA256:
- b7788c438c28e5c080f699b2939426e1a8855c73a70f616c7399895020c93f90
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