Instructions to use tyfeld/MMaDA-Parallel-A with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use tyfeld/MMaDA-Parallel-A with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("tyfeld/MMaDA-Parallel-A", 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
Commit History
-
Improve model card: Add pipeline tag, library, project page, abstract, visuals, and usage example
Verified signatureThis PR significantly enhances the model card for MMaDA-Parallel-A by: - Adding `pipeline_tag: any-to-any` to accurately reflect its multimodal generation and editing capabilities, improving discoverability on the Hub. - Specifying `library_name: transformers` based on the `transformers_version` and `auto_map` entries found in the `config.json` file, indicating compatibility with the Hugging Face Transformers library. - Including a link to the official project website: `https://tyfeld.github.io/mmadaparellel.github.io/`. - Adding the full paper abstract for a comprehensive overview of the model. - Embedding relevant architectural and results images from the GitHub repository for better visualization. - Integrating a practical "Quick Start" section with a bash command snippet directly from the GitHub README to demonstrate inference for MMaDA-Parallel-A. This ensures the usage example is accurate and directly sourced. These additions will make the model more discoverable, e…73a00b0 -
Update README.md
Verified signature6f2b19f
-
Update README.md
Verified signature1ebf0a0 -
Add files using upload-large-folder tool
Verified signature1cd7ed9 -
Create README.md
Verified signature53eb398 -
initial commit
Verified signature968c314