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
| 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"; | |
| }; | |