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
- Xet hash:
- a399ea20961f277b3649e06359c1dff01ba1a845c818d903feade25ff0e0830a
- Size of remote file:
- 167 MB
- SHA256:
- 22bce1f6997161ac5c25e0481b5c4705644d77f7945356c614adab532312e190
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