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:
- f487e80d88973d9377e6327f15f44d53ad7d234eaea81069ef5d294040c526d6
- Size of remote file:
- 1.45 GB
- SHA256:
- 1193bffcc052ac3146b65e5598aa614c05e7bdac3d6a26a5327b087204a3d2d0
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