Instructions to use yee-haw/weewojei with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use yee-haw/weewojei with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("yee-haw/weewojei", 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
Commit History
-
Epoch 200
Verified signatured1d9ed0 -
Epoch 100
Verified signature802a2d9 -
Epoch 0
Verified signaturecfcbbfb -
Epoch 99
Verified signature58926b2 -
Epoch 90
Verified signature9668a63 -
Epoch 80
Verified signature6ad0abf -
Epoch 70
Verified signature5ecaae1 -
Epoch 60
Verified signatureeaf7885 -
Epoch 50
Verified signature6d1dfc9 -
Epoch 40
Verified signature2616801 -
Epoch 30
Verified signatured307a7f -
Epoch 20
Verified signature4d4feec -
Epoch 10
Verified signature6560a67 -
Epoch 0
Verified signature5a1ec56 -
Epoch 0
Verified signature56d57cf -
Epoch 99
Verified signaturecaec3fb -
Epoch 90
Verified signature3dced6d -
Epoch 80
Verified signature53dcf4a -
Epoch 70
Verified signaturee700aa8 -
Epoch 60
Verified signature2eef401 -
Epoch 50
Verified signaturebefc0aa -
Epoch 40
Verified signaturee81f42d -
Epoch 30
Verified signaturead8ca25 -
Epoch 20
Verified signature231c24a -
Epoch 10
Verified signature75d06d1 -
Epoch 0
Verified signaturedcb70b3 -
initial commit
Verified signatureb169870