Instructions to use Harsh-Raunak94/my-pet-dog with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Harsh-Raunak94/my-pet-dog with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Harsh-Raunak94/my-pet-dog", 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:
- 12731bad590c3ad168a934072b025f988ddec098cf88ef10ed37f969d8446c34
- Size of remote file:
- 3.44 GB
- SHA256:
- b7eb657651150c21c49ef7e0e742790b319bf20c3024fde9558ce3bf05b76051
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