Instructions to use stablediffusionapi/ka28 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/ka28 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("stablediffusionapi/ka28", 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:
- a9388258deb342b568239f1ec0f5fd21677628cc663fcc257f55e28f5fedb8f6
- Size of remote file:
- 492 MB
- SHA256:
- d2674c81c028ca7c186b6b634e1de7d8e707e54af83a244d53812659e2282e4f
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