Instructions to use GraydientPlatformAPI/kikimix-am with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/kikimix-am 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/kikimix-am", 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:
- 9229c33b4c661618ebfba66d7ac54a3ba544602ee0080e287708c244c3d722bb
- Size of remote file:
- 167 MB
- SHA256:
- a49900788b6c905b78322a5a6df6911e7289197bd90730023d75a058dff04393
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