Instructions to use ovi054/ovimxl with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use ovi054/ovimxl with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("ovi054/ovimxl", 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:
- e0d89ea430323816191b3fe7f3f5614dcbc20cd467f1d130aa96de9fc8323538
- Size of remote file:
- 15 MB
- SHA256:
- 12ab660bf6f0b9accf78e2441bd61c5154e59498d534554dc61ca18efe8331e9
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