Instructions to use Niggendar/WeirdInCase with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Niggendar/WeirdInCase with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Niggendar/WeirdInCase", 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:
- 7418dd4a6d4dcc26cbd1ae18bb38f5ee739909b5bc527b67602a6b654989c8a1
- Size of remote file:
- 246 MB
- SHA256:
- 6ab71c78ef67c9d0513846414d932822cf06530d0977a9efbbf4b98ec4018bbd
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