Instructions to use Fred99774/horusork with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Fred99774/horusork with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Fred99774/horusork", 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 vae/diffusion_pytorch_model.bin from Fred99774/horusork: direct link, hf CLI and curl.
- Browser
- Download file 335 MB
-
https://huggingface.co/Fred99774/horusork/resolve/main/vae/diffusion_pytorch_model.bin
- Command line
-
hf download hf://Fred99774/horusork/vae/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/Fred99774/horusork/resolve/main/vae/diffusion_pytorch_model.bin
335 MB
- Xet hash:
- ff7d9e005b358c0e8342fea8c780085e0f100e92508efe7e13b0ff9b76dab1ca
- Size of remote file:
- 335 MB
- SHA256:
- 402e0f9772d2bf034d33969da430a2bcf7ae8564b699a37b202f1472e45b2648
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