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: 534 Bytes
d9fb09c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | import { app } from "../../scripts/app.js";
const id = "Comfy.LinkRenderMode";
const ext = {
name: id,
async setup(app) {
app.ui.settings.addSetting({
id,
name: "Link Render Mode",
defaultValue: 2,
type: "combo",
options: [...LiteGraph.LINK_RENDER_MODES, "Hidden"].map((m, i) => ({
value: i,
text: m,
selected: i == app.canvas.links_render_mode,
})),
onChange(value) {
app.canvas.links_render_mode = +value;
app.graph.setDirtyCanvas(true);
},
});
},
};
app.registerExtension(ext);
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