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", torch_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:
- c1d3e6a3953f10450a60f12f96971299ac51aecd6e6f5d9d9f5ff27148a07b4b
- Size of remote file:
- 1.39 GB
- SHA256:
- 4660821679ddc3bd2875f4191c838ef97342a09e099fc232ad2e30b4b61deb41
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