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: 327 Bytes
d9fb09c | 1 2 3 4 5 6 7 8 9 10 11 12 13 | import { app } from "../../scripts/app.js";
// Adds an upload button to the nodes
app.registerExtension({
name: "Comfy.UploadImage",
async beforeRegisterNodeDef(nodeType, nodeData, app) {
if (nodeData?.input?.required?.image?.[1]?.image_upload === true) {
nodeData.input.required.upload = ["IMAGEUPLOAD"];
}
},
});
|