# huanngzh/Parts2Whole

<https://repo.masters-masters.com/en/repos/huanngzh/Parts2Whole>

[Home](https://repo.masters-masters.com/en) › [huanngzh](https://repo.masters-masters.com/en/owners/huanngzh) › [Parts2Whole](https://repo.masters-masters.com/en/repos/huanngzh/Parts2Whole)

huanngzh/Parts2Whole has 196 stars on GitHub. Its RepoMasters card: Prototype tier. \[TIP 2025\] From Parts to Whole: A Unified Reference Framework for…

| Field | Value |
| --- | --- |
| Owner | [huanngzh](https://repo.masters-masters.com/en/owners/huanngzh) |
| Stars | 196 |
| Forks | 9 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | MIT |
| Created | 2024 |
| Topics | diffusion-models, generative-model, image-generation |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [huanngzh/Parts2Whole](https://github.com/huanngzh/Parts2Whole) |

## Repository

\[TIP 2025\] From Parts to Whole: A Unified Reference Framework for Controllable Human Image Generation

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.