Instructions to use GraydientPlatformAPI/konbinimix with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use GraydientPlatformAPI/konbinimix 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/konbinimix", 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:
- 2de29d5a92a1ec6b9e418d1f3d70d0bd6178d16c7922983c56f5208ca366f0e1
- Size of remote file:
- 246 MB
- SHA256:
- 7b87d1f5ca811ea2b86b8d4b9eeda5e097e5d5a8817f4e80ccf33cad95a38cd3
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.