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 Settings
- Draw Things
- DiffusionBee
Download vae/diffusion_pytorch_model.safetensors from diffusionai/diffusionbrush: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/diffusionai/diffusionbrush/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://diffusionai/diffusionbrush/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/diffusionai/diffusionbrush/resolve/main/vae/diffusion_pytorch_model.safetensors
335 MB
- Xet hash:
- 64733ee165fb759d9c79fed522de41cb9e3d19d59f91488c3770b9c37e427bad
- Size of remote file:
- 335 MB
- SHA256:
- 907a04566f949dd0ff5c3d3dbc1b9571e7bcfd4cc97f42d045a72beaa4fedb3f
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