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DreamBooth is a tool that allows users to train their own custom Stable Diffusion model using a small set of images. The Stable Diffusion algorithm is a text-to-image model that generates realistic images based on a given text prompt. This tool enables users to train the model with their own dataset, allowing for customization and personalized image generation.

Use cases

DreamBooth can be used in a variety of applications. For artists and designers, it offers the ability to create unique and customized images for their projects. It can also be used in the entertainment industry to generate visuals for movies, video games, and virtual reality experiences. Additionally, businesses can use DreamBooth to create personalized and visually engaging content for marketing and advertising purposes. Furthermore, researchers can utilize this tool to explore the field of text-to-image generation and develop novel applications in areas such as computer vision and artificial intelligence. Possible products or practical uses of this model could include an online platform where users can generate custom images for their websites or social media profiles, a mobile app that generates personalized artwork based on user text inputs, or an API that allows other software developers to integrate text-to-image generation capabilities into their applications. The possibilities for creative and practical use cases of DreamBooth are extensive and offer an exciting avenue for innovation and expression.



Cost per run
Avg run time

Creator Models

Vicuna 13b$0.0276203,534
Flan T5 Xl$0.004698,942
Hello World$0.00027,263,180
Elixir Gen$?44
Llama 2 7b$?5,325

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You can use this area to play around with demo applications that incorporate the Dreambooth model. These demos are maintained and hosted externally by third-party creators. If you see an error, message me on Twitter.

Currently, there are no demos available for this model.


Summary of this model and related resources.

Model NameDreambooth
Train your own custom Stable Diffusion model using a small set of images
Model LinkView on Replicate
API SpecView on Replicate
Github LinkView on Github
Paper LinkView on Arxiv


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