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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- 049b7a71cbee1ee83e91c5b52e6e96721a1f9d2451b52b39bb54c272030596b6
- Size of remote file:
- 246 MB
- SHA256:
- 821367b443fdaf654e71798504de3f1265b64f7e7c1be7d8eb9b2431dbfdb551
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