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 Settings
- Draw Things
- DiffusionBee
- Xet hash:
- eeecd904bd599ee943ee01b8530858be9b29803acb8c31446f2ddd2121f4d378
- Size of remote file:
- 167 MB
- SHA256:
- cb34f575a880f0a1e380c6733748c3655e602f07d5ff36af3b25d1621f9b0b12
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