Instructions to use stablediffusionapi/epic-realism-rc1 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/epic-realism-rc1 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/epic-realism-rc1", 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 stablediffusionapi/epic-realism-rc1: direct link, hf CLI and curl.
- Browser
- Download file 3.44 GB
-
https://huggingface.co/stablediffusionapi/epic-realism-rc1/resolve/main/unet/diffusion_pytorch_model.bin
- Command line
-
hf download hf://stablediffusionapi/epic-realism-rc1/unet/diffusion_pytorch_model.bin
-
curl -L -o diffusion_pytorch_model.bin https://huggingface.co/stablediffusionapi/epic-realism-rc1/resolve/main/unet/diffusion_pytorch_model.bin
3.44 GB
- Xet hash:
- 78cf9ae9dbc5e6b501d34130306c03915ec49f752e82814ef4c7e292cc84304f
- Size of remote file:
- 3.44 GB
- SHA256:
- c5da80efe94bcfb8caff0e370ea50d047e3f7d1ce9ebfe5122fdaef89dcde85f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.