Instructions to use AiArtLab/simplevae2x with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use AiArtLab/simplevae2x with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("AiArtLab/simplevae2x", 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
| # Jupyter Notebook | |
| __pycache__/ | |
| *.pyc | |
| .ipynb_checkpoints/ | |
| *.ipynb_checkpoints/* | |
| .ipynb_checkpoints/* | |
| src/samples | |
| # cache | |
| cache | |
| datasets | |
| test | |
| wandb | |
| nohup.out | |