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", 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: 266 Bytes
650bd72 | 1 2 3 4 5 6 7 8 9 10 | const { start } = require("./utils");
const lg = require("./utils/litegraph");
// Load things once per test file before to ensure its all warmed up for the tests
beforeAll(async () => {
lg.setup(global);
await start({ resetEnv: true });
lg.teardown(global);
});
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