Instructions to use stablediffusionapi/kachi with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use stablediffusionapi/kachi 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/kachi", 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:
- 51357c77a0c16a5fcb828a17a28c724db6befec192e4d2b1bb7299da773500ad
- Size of remote file:
- 492 MB
- SHA256:
- 1bce2a4f29a8bd9031ccaa44737b9fdd5df351442125f9fb979e8bb4149b7056
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