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
Download projection/diffusion_pytorch_model.bin from hohs/SiTH-diffusion-1K: direct link, hf CLI and curl.
- Browser
- Download file 3.15 MB
-
https://huggingface.co/hohs/SiTH-diffusion-1K/resolve/main/projection/diffusion_pytorch_model.bin
- Command line
-
hf download hf://hohs/SiTH-diffusion-1K/projection/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/hohs/SiTH-diffusion-1K/resolve/main/projection/diffusion_pytorch_model.bin
3.15 MB
- Xet hash:
- 48407a23e2a856c4043cad92d596a8933c7edd18c0a1479c2c8ea5d464c7be8a
- Size of remote file:
- 3.15 MB
- SHA256:
- c1e2bbd56b7485846b3fdd77d89ee31b0ced1e7d7c11bd28ca48b4a0dcb0f21a
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