Instructions to use stablediffusionapi/cetus-mix-whalefall2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/cetus-mix-whalefall2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/cetus-mix-whalefall2", 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
- Draw Things
- DiffusionBee
- Xet hash:
- 1955130c4e87e21313c9c3f62424466f8244fc689018a94107b714f063b3989e
- Size of remote file:
- 167 MB
- SHA256:
- 797e8191c454029678e2336271ad775d1f652aeb15131265c7f577f8003172f9
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