Instructions to use stablediffusionapi/furryblend-v10 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/furryblend-v10 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-v10", 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
- Xet hash:
- 7214b164ef4c71b2ddce191d3b0aef4de9a6b0229f793c94329a751a7cdef118
- Size of remote file:
- 335 MB
- SHA256:
- 08a4e73c12916de5b9175e252cd8a81b6bc3c38476727522b8d48c332ee5c50b
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