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: 336 Bytes
650bd72 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | module.exports = async function () {
global.ResizeObserver = class ResizeObserver {
observe() {}
unobserve() {}
disconnect() {}
};
const { nop } = require("./utils/nopProxy");
global.enableWebGLCanvas = nop;
HTMLCanvasElement.prototype.getContext = nop;
localStorage["Comfy.Settings.Comfy.Logging.Enabled"] = "false";
};
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