Text-to-Image
Diffusers
Safetensors
StableDiffusionPipeline
Style
Art
Character Design
Adorable
CGI
nnna
Zovya
stable-diffusion
stable-diffusion-diffusers
Instructions to use Yntec/ClayStyle with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Yntec/ClayStyle 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/ClayStyle", 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:
- 7169c3e5b189374b8b4f7282c41495ae95c70e01781cae337368da31d3eefccb
- Size of remote file:
- 492 MB
- SHA256:
- d9764a579c2c17897aaf82e20ac77810c19431800ee7f8d8000bbd35ba6fd3fb
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