Instructions to use sophiaa/revise with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use sophiaa/revise with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("sophiaa/revise", 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 model card for ReViSE
#1
by nielsr HF Staff - opened
This PR adds a comprehensive model card for the ReViSE model, including:
- Linking to the paper: ReViSE: Towards Reason-Informed Video Editing in Unified Models with Self-Reflective Learning.
- Adding the appropriate
pipeline_tag: video-to-videoso it can be discovered on the Hub. - Specifying
library_name: transformersto enable the "how to use" widget, based on evidence fromconfig.jsonandtokenizer_config.jsonfiles indicating Transformers compatibility. - Including a link to the GitHub repository: https://github.com/Liuxinyv/ReViSE.
- Providing a sample usage code snippet and setup instructions directly from the official GitHub repository.
- Incorporating qualitative demo visualizations.
- Adding the BibTeX citation.
Please review and merge if everything looks good.