ragor114/InsertDiffusion
Official implementation for the paper "InsertDiffusion: Identity Preserving Visualization of Objects through a Training-Free Diffusion Architecture".
This tool helps visualize your product in any setting. You input a clear image of your object, and it generates a new image with your object seamlessly placed into a custom background, like a car on a beach or a bike in a city. It's designed for marketers, e-commerce managers, or anyone needing high-quality product mockups without a photoshoot.
No commits in the last 6 months.
Use this if you need to create compelling product images for marketing, e-commerce, or presentations, quickly and without expensive photography.
Not ideal if you need to generate objects from abstract point cloud data, as this feature is experimental and not central to the tool's primary purpose.
Stars
22
Forks
3
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Aug 12, 2024
Commits (30d)
0
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