DreamBooth is a method to personalize diffusion models such as Stable Diffusion by training the model with only a few images (3-5) of a specific object or person. This allows the model to generate contextualized images of the object or person in different scenes, poses and perspectives.
DreamBooth uses a few images (typically 3-5) of a particular object or person, along with a unique identifier and the class name, to fine-tune the diffusion model.
For example, 3-5 pictures of a dog "Bello" could be used. The unique identifier would then be "Bello" and the class name "Dog". The text input for training could then look like this:
- Instance prompt: "A photo of [Bello] dog"
- Class prompt: "A photo of a dog"
Through fine-tuning, the model learns to associate the unique identifier "Bello" with this specific dog. At the same time, a class preservation loss ensures that the model can continue to generate general dogs.
After training, you can then generate new images of "Bello" in different contexts by inserting the identifier "Bello" into the text input prompt. For example: "Bello sitting in the living room".
- Enables the generation of realistic images of a specific object or person
- The object can be displayed in different poses, perspectives and environments
- Possible with just a few training images
- Can be used for people, pets, products, works of art, etc.
- 3-5 high-quality pictures of the desired object or person from different perspectives
- Unique identifier, e.g. "Bello"
- Class name, e.g. "Dog"
- Set instance prompt, e.g. "A photo of [Bello] dog"
- Set class prompt, e.g. "A photo of a dog"
- Fine-tune model with images and text prompts
- Optional class preservation loss for generalization
- Generate new images by inserting the identifier, e.g. "Bello playing in the garden"
DreamBooth is a revolutionary technique to personalize diffusion models such as Stable Diffusion and generate realistic images of specific objects and people. Impressive results can be achieved with just a few training images. DreamBooth opens up fascinating new creative possibilities for digital content and art.
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