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
| import { app } from "../../scripts/app.js"; | |
| import { applyTextReplacements } from "../../scripts/utils.js"; | |
| // Use widget values and dates in output filenames | |
| app.registerExtension({ | |
| name: "Comfy.SaveImageExtraOutput", | |
| async beforeRegisterNodeDef(nodeType, nodeData, app) { | |
| if (nodeData.name === "SaveImage") { | |
| const onNodeCreated = nodeType.prototype.onNodeCreated; | |
| // When the SaveImage node is created we want to override the serialization of the output name widget to run our S&R | |
| nodeType.prototype.onNodeCreated = function () { | |
| const r = onNodeCreated ? onNodeCreated.apply(this, arguments) : undefined; | |
| const widget = this.widgets.find((w) => w.name === "filename_prefix"); | |
| widget.serializeValue = () => { | |
| return applyTextReplacements(app, widget.value); | |
| }; | |
| return r; | |
| }; | |
| } else { | |
| // When any other node is created add a property to alias the node | |
| const onNodeCreated = nodeType.prototype.onNodeCreated; | |
| nodeType.prototype.onNodeCreated = function () { | |
| const r = onNodeCreated ? onNodeCreated.apply(this, arguments) : undefined; | |
| if (!this.properties || !("Node name for S&R" in this.properties)) { | |
| this.addProperty("Node name for S&R", this.constructor.type, "string"); | |
| } | |
| return r; | |
| }; | |
| } | |
| }, | |
| }); | |