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", 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:
- e9486686f768e68b4cfa48ca598647939d80cabaf7f3a5f67c8e5c0088c009d5
- Size of remote file:
- 1.36 GB
- SHA256:
- 13da074917dbe964c2dd2bcc4a499f21fce89bbcf0b56eda994b6ef68ccd4668
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.