Instructions to use GraydientPlatformAPI/kickix2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/kickix2 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/kickix2", 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:
- ec00aad46833bbc4fb712e07cb81ae1616b71ed1f3750bd383fef5ca60dd2943
- Size of remote file:
- 1.39 GB
- SHA256:
- 18567ddabf3023dc0a89c1761a7558263bb66f77e1ff1ca9c6f453b1d86d6c02
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