HyperDreamBooth

Fast Personalized Text-to-Image Model

PremiumNewProductImagePersonalizationImage Generation

HyperDreamBooth is a supernetwork developed by Google Research for fast personalized text-to-image modeling. By generating a set of small personalized weights from a single face image and combined with rapid fine-tuning, it can generate high-quality face images with specific details in various contexts and styles while preserving the model's crucial knowledge for diverse stylistic and semantic modifications.

Generate personalized weights from a single portrait image using a supernetwork
Achieve rapid fine-tuning by combining weights into a diffusion model
Complete personalization in approximately 20 seconds
25 times faster than DreamBooth
Use a minimal number of reference images (only one required)
Generate models that are 10
000 times smaller than conventional DreamBooth models
Maintain the same quality and stylistic diversity as DreamBooth

HyperDreamBooth is aimed at researchers
developers
and creative professionals who need to quickly generate personalized images. It is particularly suitable for scenarios that require personalized content to be presented in different contexts and styles
such as personalized advertising
personalized social media content

Personalized advertising design: Quickly generate advertisements with specific styles.
Personalized social media content: Generate images with personal characteristics for users.
Virtual character design: Create personalized character images for games or virtual reality applications.

Step 1: Prepare a clear face image of the target person.
Step 2: Visit the HyperDreamBooth website.
Step 3: Upload the face image to the HyperDreamBooth model.
Step 4: Select the desired style and context.
Step 5: The HyperDreamBooth model will generate personalized weights using the supernetwork.

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Monthly Visits

603

Bounce Rate

41.05%

Page per Visit

1.0

Visit Duration

00:00:00

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