Instructions to use silveroxides/veloxide with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use silveroxides/veloxide 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/veloxide", 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:
- a0c5eff839a0fa26546d29169c79989040f6834b67b72113aa2f8db6fd6f38bc
- Size of remote file:
- 335 MB
- SHA256:
- 85496f2901f1799380877132e814c9fb07db476b05e2cc7700e97a27d8555a40
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