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README.md

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+---
+license: apple-ascl
+tags:
+- mdm
+---
+
+# Matryoshka Diffusion Models
+
+Matryoshka Diffusion Models was introduced in [the paper of the same name](https://huggingface.co/papers/2310.15111), by Jiatao Gu,Shuangfei Zhai, Yizhe Zhang, Josh Susskind, Navdeep Jaitly.
+
+This repository contains the **Flickr 64** checkpoint.
+
+![Generation Examples from the MDM repository](samples.png)
+
+### Highlights
+
+* This checkpoint was trained on a dataset of 50M text-image pairs collected from Flickr.
+* This model was trained using a single UNet (not nested), and generates images with a resolution of 64 × 64.
+* Despite training on relatively small datasets, MDMs show strong zero-shot capabilities of generating high-resolution images and videos.
+
+## Checkpoints
+
+| Model                                                   | Dataset    | Resolution  | Nested UNets |
+|---------------------------------------------------------|------------|-------------|--------------|
+| [mdm-flickr-64](https://hf.co/pcuenq/mdm-flickr-64)     | Flickr 50M | 64 × 64     | ❎            |
+| [mdm-flickr-256](https://hf.co/pcuenq/mdm-flickr-256)   | Flickr 50M | 256 × 256   | ✅            |
+| [mdm-flickr-1024](https://hf.co/pcuenq/mdm-flickr-1024) | Flickr 50M | 1024 × 1024 | ✅            |
+
+## How to Use
+
+Please, refer to the [original repository](https://github.com/apple/ml-mdm) for training and inference instructions.
+
+## Citation
+
+```
+@misc{gu2023matryoshkadiffusionmodels,
+      title={Matryoshka Diffusion Models},
+      author={Jiatao Gu and Shuangfei Zhai and Yizhe Zhang and Josh Susskind and Navdeep Jaitly},
+      year={2023},
+      eprint={2310.15111},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV},
+      url={https://arxiv.org/abs/2310.15111},
+}
+```