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Publish MiniT2I Space card

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  2. .gitignore +5 -0
  3. README.md +38 -0
  4. index.html +79 -0
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README.md ADDED
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+ ---
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+ title: MiniT2I
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+ sdk: static
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+ app_file: index.html
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+ pinned: false
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+ ---
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+
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+ # MiniT2I
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+
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+ MiniT2I is a simple direct-RGB text-to-image generator built around a pixel-space MM-JiT denoiser, flow matching, and frozen FLAN-T5-Large text features. It avoids an image tokenizer, VAE decoder, post-hoc refiner, and auxiliary perceptual/adversarial/reward losses.
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+
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+ This Space is now a project card only. The earlier interactive inference demo has been removed; use the code repositories and checkpoints directly for local inference, evaluation, and adaptation.
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+
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+ ## Links
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+
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+ - Blog: [Text-to-Image Generation Made Simple](https://peppaking8.github.io/#/post/text-to-image-generation-made-simple)
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+ - PyTorch/Diffusers code: [Hope7Happiness/t2i-release](https://github.com/Hope7Happiness/t2i-release)
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+ - JAX code: [PeppaKing8/minit2i-jax](https://github.com/PeppaKing8/minit2i-jax)
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+ - PyTorch checkpoints: [MiniT2I/MiniT2I](https://huggingface.co/MiniT2I/MiniT2I)
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+ - JAX checkpoints: [MiniT2I-B/16](https://huggingface.co/MiniT2I/MiniT2I-B-16-jax), [MiniT2I-L/16](https://huggingface.co/MiniT2I/MiniT2I-L-16-jax)
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+
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+ ## Models
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+
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+ | Model | Params | Patch | GenEval | DPG-Bench |
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+ | --- | ---: | ---: | ---: | ---: |
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+ | MiniT2I-B/16 | 258M + 341M text encoder | 16 | 0.874 | 84.6 |
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+ | MiniT2I-L/16 | 912M + 341M text encoder | 16 | 0.887 | 85.5 |
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @misc{minit2i2026,
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+ title = {MiniT2I: Text-to-Image Generation Made Simple},
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+ author = {Wang, Xianbang and Zhao, Hanhong and Lu, Yiyang and Zhou, Kangyang and Ma, Linrui},
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+ year = {2026},
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+ url = {https://peppaking8.github.io/#/post/text-to-image-generation-made-simple}
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+ }
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+ ```
index.html ADDED
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+ <!doctype html>
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+ <html lang="en">
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+ <head>
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+ <meta charset="utf-8" />
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+ <meta name="viewport" content="width=device-width, initial-scale=1" />
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+ <title>MiniT2I</title>
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+ <style>
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+ :root {
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+ color-scheme: light dark;
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+ font-family: Inter, ui-sans-serif, system-ui, -apple-system, BlinkMacSystemFont, "Segoe UI", sans-serif;
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+ }
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+
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+ body {
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+ margin: 0;
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+ min-height: 100vh;
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+ display: grid;
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+ place-items: center;
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+ background: #f6f7f9;
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+ color: #1f2937;
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+ }
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+
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+ main {
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+ width: min(760px, calc(100% - 48px));
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+ padding: 48px 0;
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+ }
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+
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+ h1 {
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+ margin: 0 0 12px;
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+ font-size: 40px;
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+ line-height: 1.05;
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+ }
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+
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+ p {
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+ margin: 0 0 20px;
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+ font-size: 17px;
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+ line-height: 1.65;
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+ }
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+
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+ a {
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+ color: #4f46e5;
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+ font-weight: 650;
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+ text-decoration: none;
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+ }
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+
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+ ul {
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+ margin: 24px 0 0;
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+ padding-left: 20px;
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+ line-height: 1.9;
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+ }
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+
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+ @media (prefers-color-scheme: dark) {
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+ body {
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+ background: #111827;
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+ color: #e5e7eb;
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+ }
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+
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+ a {
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+ color: #a5b4fc;
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+ }
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+ }
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+ </style>
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+ </head>
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+ <body>
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+ <main>
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+ <h1>MiniT2I</h1>
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+ <p>
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+ A simple direct-RGB text-to-image generator. The interactive demo has
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+ been retired; use the project links below for the blog, code, and
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+ checkpoints.
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+ </p>
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+ <ul>
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+ <li><a href="https://peppaking8.github.io/#/post/text-to-image-generation-made-simple">Blog post</a></li>
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+ <li><a href="https://github.com/Hope7Happiness/t2i-release">PyTorch/Diffusers code</a></li>
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+ <li><a href="https://github.com/PeppaKing8/minit2i-jax">JAX code</a></li>
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+ <li><a href="https://huggingface.co/MiniT2I/MiniT2I">PyTorch checkpoints</a></li>
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+ </ul>
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+ </main>
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+ </body>
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+ </html>