Instructions to use snu-aidas/magvitv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use snu-aidas/magvitv2 with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("snu-aidas/magvitv2", 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
metadata
library_name: diffusers
license: mit
tags:
- model_hub_mixin
- pytorch_model_hub_mixin
- variational-autoencoder
This model has been pushed to the Hub using the PytorchModelHubMixin integration:
- Library: https://github.com/showlab/Show-o
- Docs: [More Information Needed]