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", torch_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:
- 9adeecda01d61d596df4e113b637beb0ac17fd3f9840c55f943ad6ea3fad25f2
- Size of remote file:
- 3.44 GB
- SHA256:
- d7ee184a3568d3292b38a00b7640b557fdbe8442e38a44bd37d1021c68b8bb93
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