Instructions to use aa-studio/aa_studio_data with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use aa-studio/aa_studio_data with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("aa-studio/aa_studio_data", 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
File size: 283 Bytes
d9fb09c | 1 2 3 4 5 6 7 8 9 10 | import { addStylesheet } from "../utils.js";
addStylesheet(import.meta.url);
export function createSpinner() {
const div = document.createElement("div");
div.innerHTML = `<div class="lds-ring"><div></div><div></div><div></div><div></div></div>`;
return div.firstElementChild;
}
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