Instructions to use silveroxides/vpred-base with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use silveroxides/vpred-base with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("silveroxides/vpred-base", 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:
- c3875be32f5e43ad1f9f0733c51b175ee35df6c67b7f337b9b4adcc60d9b5c0d
- Size of remote file:
- 492 MB
- SHA256:
- d90b19763a4ce03325810fb1714fadc37949f3b6533ed561f79cb3f0bcb86b52
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