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:
- 86cc37f2f5ca0a882d039d76119b8f765227d9a2e95a43803a58c6357133fa2b
- Size of remote file:
- 1.72 GB
- SHA256:
- 3ac986370f51d806d2119577d5a66fbf6d3746e2356f45dc474e7561ce94bdbf
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