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:
- 1844c022d02823c362255fd5ae61ee1f9b142e76c057da189e5a74b5fe0f396e
- Size of remote file:
- 246 MB
- SHA256:
- 424d2d80f87332d35d1758b38628c53fd3019145b95bab33c3a67a11d3a2d01f
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