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", torch_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:
- 311d428dd618e03ed60b984a45779664d63ca1de02c573e59286e642e555f965
- Size of remote file:
- 492 MB
- SHA256:
- 788f0247949e6b3b5468b45b6b902ead072f4fca768e693003fc491ea5f0bc89
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.