Instructions to use jadhav21/squirrel with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use jadhav21/squirrel with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("jadhav21/squirrel", 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:
- 4948282ee3dafc3e2149248c4125573f0ea35f03d9d053ca1123b5bede778007
- Size of remote file:
- 246 MB
- SHA256:
- 71cac9a1e1251edbf6de1d96ae211531506a8422cf55feba4f635b31883c18f0
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