Instructions to use GraydientPlatformAPI/vivid with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/vivid with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("GraydientPlatformAPI/vivid", 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:
- 4cb0fade394d777792e4ddd99aa529d7b7954dad14c2f41aa11a0f127a94b4cf
- Size of remote file:
- 246 MB
- SHA256:
- 2a2118a338a942ec6199ee3078dc85966b79af022f7b8ff986e1d07522ce071f
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