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:
- 219db22e2259bdc5f07c1292912a0f37a685b5407c6faf73bfbe2795a772684b
- Size of remote file:
- 608 MB
- SHA256:
- e09c5d39c29d798137c7aa6f529bd44abe3616b054740a02d896f0381ca4f4f9
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