Instructions to use JujoHotaru/PastelBreed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use JujoHotaru/PastelBreed with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("JujoHotaru/PastelBreed", 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
Commit History
-
Update README.md
Verified signaturebc21d4d -
Upload 3 files
Verified signaturee535eb5 -
Upload v40thumb.webp
Verified signature1738ee6
-
Update README.md
Verified signature2f49834 -
Upload v30thumb.webp
Verified signature7dc7054
-
Upload 3 files
Verified signature48b4dbb
-
Update README.md
Verified signaturec25bf9e -
Upload v20thumb.webp
Verified signatured23c4e8 -
Update README.md
Verified signature4134d4f -
Update README.md
Verified signature0f9642f -
Update README.md
Verified signature8608762 -
Delete model/dummy.txt
Verified signature98308d0 -
Upload 3 files
Verified signature49df15c -
Create model/dummy.txt
Verified signaturea20f593 -
initial commit
Verified signature793967b