Instructions to use wx44wx/sd-three-kingdoms-diffusers with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use wx44wx/sd-three-kingdoms-diffusers with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("wx44wx/sd-three-kingdoms-diffusers", 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
- Local Apps Settings
- Draw Things
- DiffusionBee
Download unet/diffusion_pytorch_model.bin from wx44wx/sd-three-kingdoms-diffusers: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/wx44wx/sd-three-kingdoms-diffusers/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://wx44wx/sd-three-kingdoms-diffusers/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/wx44wx/sd-three-kingdoms-diffusers/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- ef9298c378c0d286b7533fcad80ecf01fc9446298737500cf3a62c76706714f5
- Size of remote file:
- 3.44 GB
- SHA256:
- cbda553916e36f3f65f0e24a07281d7368835e058d7d6926153fc34550d490cd
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