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:
- c878a1117c0ba20780ca7d71bf00f6150063293d07f166b73758bc0f907ed627
- Size of remote file:
- 3.44 GB
- SHA256:
- 41d6e86b22de17ebcae852945f2627ba49c87358b2f87ed76dd80d7f4b349c97
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