Instructions to use Hugol33/epicfidelity with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hugol33/epicfidelity with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("Hugol33/epicfidelity", 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.safetensors from Hugol33/epicfidelity: direct link, hf CLI and curl.
- Browser
- Download file 167 MB
-
https://huggingface.co/Hugol33/epicfidelity/resolve/main/vae/diffusion_pytorch_model.safetensors
- Command line
-
hf download hf://Hugol33/epicfidelity/vae/diffusion_pytorch_model.safetensors
-
curl -L -o diffusion_pytorch_model.safetensors https://huggingface.co/Hugol33/epicfidelity/resolve/main/vae/diffusion_pytorch_model.safetensors
167 MB
- Xet hash:
- a399ea20961f277b3649e06359c1dff01ba1a845c818d903feade25ff0e0830a
- Size of remote file:
- 167 MB
- SHA256:
- 22bce1f6997161ac5c25e0481b5c4705644d77f7945356c614adab532312e190
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