Diffree
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Diffree
Overview :
Diffree is a text-guided image restoration model capable of adding new objects to images based on text descriptions while maintaining background consistency, spatial appropriateness, and the quality and relevance of the objects. This model was trained on the OABench dataset, utilizing a stable diffusion model along with an additional mask prediction module, enabling it to uniquely predict the locations of new objects for text-guided object addition.
Target Users :
The target audience includes image editors, designers, researchers, and any users who need to add new objects to images. Diffree is ideal for them as it offers a rapid and natural method to add objects to images without manual intervention.
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Use Cases
Use Diffree to add flying birds to landscape photos, enhancing the vividness of the scene.
Add virtual products to promotional images for market testing.
In historical scene reconstructions, add missing elements based on descriptions.
Features
Text-to-image model that realizes text-guided object addition
Trained using advanced image restoration techniques on the OABench dataset
Features a unique mask prediction module that predicts the locations of new objects
Maintains background consistency when adding objects
Supports the iterative addition of multiple objects within the same image
Applicable for object addition in various natural scenes
High success rate ensuring the quality and relevance of added objects
How to Use
1. Visit Diffree's online demo page.
2. Read and comprehend the usage instructions and requirements of Diffree.
3. Provide or input a text description of the object you want to add to the image.
4. Upload the original image or select an existing image sample.
5. Diffree will generate a mask and an image of the new object based on the text description and the original image.
6. Review the generated results to ensure the newly added object meets your expectations.
7. If needed, make iterative adjustments until satisfied.
8. Download or directly use the generated image.
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