Instructions to use matrixrb/illustration with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use matrixrb/illustration with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("matrixrb/illustration", 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
- Xet hash:
- 16e0d8df630853b43f0e97ea14b077176c154f918abeb0189b32e35943588186
- Size of remote file:
- 167 MB
- SHA256:
- 58cce74eb10db3d7564af0b3ef8a96e353ba9696ba93cb090ca50d6682f51d24
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