Instructions to use stablediffusionapi/cetusmixcoda2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/cetusmixcoda2 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/cetusmixcoda2", 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:
- f547de1e87add5af34da906f00da337735aee5202f5f69b47d8f65aa01faba5e
- Size of remote file:
- 167 MB
- SHA256:
- 20626137d827222e45264d2922f365777e0d7e437f2602dd561a0efd526ddcb9
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