Instructions to use Hugol33/epgaxpp with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use Hugol33/epgaxpp 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/epgaxpp", 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:
- 34fbe678a4aa8e9ddca70f2762da66137fad6f381fc000a6869cea7557de112b
- Size of remote file:
- 246 MB
- SHA256:
- d9e81de5c592f575c59c8d44dfbc7b05bd70eb7e4f5bf8e97f7225b444a9291a
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