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:
- 3d1a2a7e2789342776287ee2a64b4e169bf9b930dc33bd93ac32f3bcfdf6949f
- Size of remote file:
- 2.13 GB
- SHA256:
- 92d878945da081d5438e5477cfbdbdf513bd1e16658f318ed9c4fad1bb0139a1
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