Instructions to use Hugol33/epphg3 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hugol33/epphg3 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/epphg3", 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:
- 44f02765a74eeb7f48fb63cb3c3c0414fe2652ee2b2a3cb56b7e8850a14bad2a
- Size of remote file:
- 492 MB
- SHA256:
- c3eb7b5acfd93572ac2f54f50cb53e11eb52e69fb098b3037a3665656a20c975
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