Instructions to use diffusionai/diffusionbrush with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use diffusionai/diffusionbrush with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("diffusionai/diffusionbrush", torch_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:
- 6b3bc5ec603119f9cb7405f9dac618baf49bb7c11a6c11c390be1c7e1f095ba9
- Size of remote file:
- 1.36 GB
- SHA256:
- 50ab9b661ba771c12dd2aa95358f2125bc1b881eee2bd09232dc9ad054aef568
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