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:
- f8ac4b938dcf9e2a863874d6cf4b37b109de9f39e1a1bf85222390b58e908670
- Size of remote file:
- 5.14 GB
- SHA256:
- 52ff30615c5ce72b1b305cead1c1dc0b6d88c20e40e738b16da2f77a627d6dce
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