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:
- 1988fd976d430d0d97f5089176bf4dfdefdf9f57991ab11657b9411e723642e8
- Size of remote file:
- 3.44 GB
- SHA256:
- f15a3f5f5bd0057a326a4e35c1c8c1ae39667b0d0956818e8a0c0d33e74dd525
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