Instructions to use stablediffusionapi/cetus-mix-v4 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/cetus-mix-v4 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-v4", 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:
- 6888ac4ab6272ce3b68cc3dcb56ee43159778388ec2fc08d4aa6c7cec18addb7
- Size of remote file:
- 167 MB
- SHA256:
- e66d2f27e246291d9c15aa21088cdac803581db0b00cfc88aae5b7194b6772b0
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