Text-to-Image
Diffusers
Safetensors
English
StableDiffusionPipeline
Anime
2D
2.5D
stable-diffusion
stable-diffusion-diffusers
Eagelaxis
Instructions to use Yntec/Cetus with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/Cetus with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Yntec/Cetus", 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:
- 8837b65c8dccc8b9c3e20d31e8affc9234673ecaaef5d1fce15a7adb21c360fd
- Size of remote file:
- 167 MB
- SHA256:
- b036e76aa7af7609d387e920ac7498557b69e36339400a7785e4de44ce27cec7
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