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", torch_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: 524 Bytes
d9fb09c | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 | /**
* Changes the background color of the canvas.
*
* @method updateBackground
* @param {image} String
* @param {clearBackgroundColor} String
* @
*/
LGraphCanvas.prototype.updateBackground = function (image, clearBackgroundColor) {
this._bg_img = new Image();
this._bg_img.name = image;
this._bg_img.src = image;
this._bg_img.onload = () => {
this.draw(true, true);
};
this.background_image = image;
this.clear_background = true;
this.clear_background_color = clearBackgroundColor;
this._pattern = null
}
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