Instructions to use stablediffusionapi/furryblend with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/furryblend with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/furryblend", dtype=torch.bfloat16, device_map="cuda") prompt = "a girl wandering through the forest" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
- Xet hash:
- b251dc61d29a83393caa3d9fe7f3b8f45d3c5a5059ba87e8a332891cb3e43482
- Size of remote file:
- 167 MB
- SHA256:
- 087c2ac9f3a41ccb95a47d90559881f5c794bdf6df2bc5718b12692403f063e5
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