Instructions to use sonona/epic with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sonona/epic with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sonona/epic", 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 text_encoder/pytorch_model.bin from sonona/epic: direct link, hf CLI and curl.
- Browser
- Download file 246 MB
-
https://huggingface.co/sonona/epic/resolve/main/text_encoder/pytorch_model.bin
- Command line
-
hf download hf://sonona/epic/text_encoder/pytorch_model.bin
-
curl -L -o pytorch_model.bin https://huggingface.co/sonona/epic/resolve/main/text_encoder/pytorch_model.bin
246 MB
- Xet hash:
- 4bf5365bdd595c2fe2c83ee088830142f5f536bb39e4f032be6468153dc13b13
- Size of remote file:
- 246 MB
- SHA256:
- 10713b1a6db9d77f3b918eb23c7b0ca56fe88628f1c36bbd01b893d7f67bdc33
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