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:
- 49602e1c40aba3ef259203a824974ce1357d8077ad1529f4fdeb6d2af328eb94
- Size of remote file:
- 1.45 GB
- SHA256:
- 944d533f5c6085df306015962482cb3b35dae24e03bc815fe3ee144eef50b272
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