Text-to-Image
Diffusers
PyTorch
StableDiffusionPipeline
stable-diffusion
diffusion-models-class
dreambooth-hackathon
animal
Instructions to use pharmapsychotic/sugar-glider with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use pharmapsychotic/sugar-glider with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("pharmapsychotic/sugar-glider", dtype=torch.bfloat16, device_map="cuda") prompt = "a photo of a pssg wearing goggles" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- Draw Things
- DiffusionBee
- Xet hash:
- b74fab4db9315cd484d78c4b68b250e8d32ef15290d9e0d8d71b06b5ee14d38f
- Size of remote file:
- 492 MB
- SHA256:
- f24e46c4a1378787fc88bc20baccedf77f8903123e4024cd80424775d28a40fc
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.