Instructions to use GraydientPlatformAPI/divas with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/divas 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/divas", 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:
- c4dcdfda640ab1e5d77a2c451acf76ba6903dc53480e149dbd1f764f1d786546
- Size of remote file:
- 1.72 GB
- SHA256:
- 140ba1c9c71ffbb9a03bcc37da841ebc5c5ee284c501b7a1caa2562892346f2d
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