Instructions to use arshjaved/EroVision with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use arshjaved/EroVision with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("arshjaved/EroVision", 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:
- 896b8a4096e14841d6c9544b4f7707917a62667bd2042784326821f4d302800a
- Size of remote file:
- 1.39 GB
- SHA256:
- 15f1c68a55d0889fc361088a0c4e8f552abf915aa57c2fc8c56b5f6045ace8ca
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