Instructions to use Stax124/CetusMixCoda with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Stax124/CetusMixCoda with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Stax124/CetusMixCoda", 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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- ff9ff756e99e8d88bb38826009d8d4cc2ffeccd7e2e2f0bd6c8e092289005aa6
- Size of remote file:
- 167 MB
- SHA256:
- 039a5e6231d1d7159f059d2557eb2bc54a126a0a6bc7de8cc36754416b516599
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