Instructions to use stablediffusionapi/cetusmixcodav2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/cetusmixcodav2 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/cetusmixcodav2", 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:
- 0e621ce0c2e3855688ca56b875c773bd03076a25b943981a675bba0a3d8c2044
- Size of remote file:
- 1.72 GB
- SHA256:
- c84970ee257bf7efeaf45a0860c6fe133d592211cbc2fe870762b5b90d0b4db0
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