Mage Flow
Mage-Flow is a compact 4B-parameter text-to-image diffusion model from Microsoft, built on a Native-Resolution Multimodal Diffusion Transformer (NR-MMDiT) paired with the Mage-VAE tokenizer. It generates images natively from 512 to 2048 pixels at any aspect ratio using rectified flow matching, reaching quality competitive with much larger open models while running efficiently.
- Type
- Image
- Weights
- Closed
- Downloads
- 11
- Likes
- 1
- Pipeline
- text to image
- License
- mit
Model hub
natalie5/Mage-Flow
- Repo
- natalie5/Mage-Flow
- Library
- diffusers
- Access
- Public
Technical tags and languages
Papers
1
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About Microsoft
1
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