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
- Draw Things
- DiffusionBee
- Xet hash:
- 919abe26a9570bd5d3c4ee29a2cfedd0d24d7e4f830337423ec63913a5b62d8f
- Size of remote file:
- 167 MB
- SHA256:
- 6353737672c94b96174cb590f711eac6edf2fcce5b6e91aa9d73c5adc589ee48
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