Instructions to use GraydientPlatformAPI/knklumi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/knklumi 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/knklumi", 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:
- c9e52a8a2932ab7d5a971c7e7f3866d9f309cf145497a704e57d0a73edb36807
- Size of remote file:
- 246 MB
- SHA256:
- 31a69b63a72535d8a82cf72c54773b9fe7da7b5ef2f43502e7a7ffcdd8815853
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