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 text_encoder/diffusion_pytorch_model.bin from diffusionai/diffusionbrush: direct link, hf CLI and curl.
- Browser
- Download file 3.46 GB
-
https://huggingface.co/diffusionai/diffusionbrush/resolve/main/text_encoder/diffusion_pytorch_model.bin
- Command line
-
hf download hf://diffusionai/diffusionbrush/text_encoder/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/diffusionai/diffusionbrush/resolve/main/text_encoder/diffusion_pytorch_model.bin
3.46 GB
- Xet hash:
- 06d9116f152bc3a87bdd9f33a57054b2f45caed135823f5e974517d9f5f9e8a9
- Size of remote file:
- 3.46 GB
- SHA256:
- 70c1b3272d1ddf064d9d5374beee5deea2be1d889be1d17263d460e5713376e9
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