Instructions to use studyOverflow/egrpo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use studyOverflow/egrpo with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("studyOverflow/egrpo", 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
- Xet hash:
- 1a7a787d1f9cfdf6e6ead351b332a08cdf5737ee1bee48f98c40341e532e4b8c
- Size of remote file:
- 3.44 GB
- SHA256:
- f5f12f7078f361f137f91edc270cb523208dc2322a597e07773eb3b1e5703850
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