Instructions to use GraydientPlatformAPI/kavka16 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/kavka16 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/kavka16", 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:
- 40e747457958287c747029297b8ca54bd57cb33e53a7511568432355c8bb2c4d
- Size of remote file:
- 1.72 GB
- SHA256:
- abc291bfb84be2594186fab7574e8f009f8f7a35a3b48095d7630006de7031a0
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