Instructions to use hohs/SiTH-diffusion-2000 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use hohs/SiTH-diffusion-2000 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-2000", 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:
- 7b2f98395d201919c1da8fd4636755ea42825969417a7a8fcd343eaffc7c6a47
- Size of remote file:
- 3.15 MB
- SHA256:
- 7c0d6fea58fd295b45cef59e089962fd9d9d4e3f4c1fce34cc3baf2e2104e143
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