Instructions to use hohs/SiTH-diffusion-1K with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hohs/SiTH-diffusion-1K with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("hohs/SiTH-diffusion-1K", 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
- Xet hash:
- fc6dff7fdffb73968e03279f8ebd5d55d7bf1d8817a37afea9d9358929b7815a
- Size of remote file:
- 1.45 GB
- SHA256:
- aaaf2c455c31b4ed04a2f24ec5b94223926c92b66a621659ee04ce73541566e4
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