Instructions to use stablediffusionapi/vrr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/vrr with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/vrr", 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
- Draw Things
- DiffusionBee
- Xet hash:
- ef2f73084a0e2e7cf8267a93a30014626d790b37180112008a018af0d6ccd484
- Size of remote file:
- 246 MB
- SHA256:
- 20852debf1f5a40e2d461841a8c16e53ab62bd62eefdef24f597681a80789b59
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