Instructions to use showlab/magvitv2 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use showlab/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("showlab/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
Add pipeline tag, link to paper
#1
by nielsr HF Staff - opened
This PR improves the model card, by adding:
- The appropriate pipeline tag, ensuring people can find it at https://huggingface.co/models?pipeline_tag=any-to-any
- Link to paper page