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:
- 79ee3ce8d3e088aaf52b420b60bbdab98440ac29473fe06c67dde369f39e3c6e
- Size of remote file:
- 3.44 GB
- SHA256:
- f16fa915d3380bc3465cf60673a763b1534eadf6ee9695537f1f7ff11ae03d71
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