# WindVChen/Diff-Harmonization

<https://repo.masters-masters.com/en/repos/WindVChen/Diff-Harmonization>

[Home](https://repo.masters-masters.com/en) › [WindVChen](https://repo.masters-masters.com/en/owners/WindVChen) › [Diff-Harmonization](https://repo.masters-masters.com/en/repos/WindVChen/Diff-Harmonization)

WindVChen/Diff-Harmonization has 151 stars on GitHub. Its RepoMasters card: Prototype tier. A novel zero-shot image harmonization method based on Diffusion…

| Field | Value |
| --- | --- |
| Owner | [WindVChen](https://repo.masters-masters.com/en/owners/WindVChen) |
| Stars | 151 |
| Forks | 12 |
| Language | [Python](https://repo.masters-masters.com/en/languages/python) |
| License | Apache-2.0 |
| Created | 2023 |
| Topics | diffusion-models, image-harmonization, image-to-image-translation, optimization, textual-inversion, zero-shot-learning, image-composition |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [WindVChen/Diff-Harmonization](https://github.com/WindVChen/Diff-Harmonization) |

## Repository

A novel zero-shot image harmonization method based on Diffusion Model Prior.

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.