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:
- c2f1738bf06d9781d5b15000888dd7f8010fe6473cf291273d1fcd52230cbeba
- Size of remote file:
- 1.45 GB
- SHA256:
- 7246176f5e8c2611ad7bd565f21e8690ebe59b372ae9b0da9a58b35ceeab5da1
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