Instructions to use hohs/SiTH_diffusion with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hohs/SiTH_diffusion 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", 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:
- ddc231528080f16f72f7b0c3cbdf78b9bd8f9695c36bb857ed68804190d39ecc
- Size of remote file:
- 3.44 GB
- SHA256:
- c96a03ada5966a1980fbb3c02a6d4d32a643c0ada4f592247f474dd4fa8afc05
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