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What is UnrealPhotoshoot?
Unleash the power of your creativity and produce incredibly lifelike modeling images directly from your device. With only a few simple steps, you can customize every detail of your model's appearance, including their clothing, pose, and the environment they are set in. The era of relying on modeling agencies to source the right individual for your projects is over; our advanced AI technology allows you to craft your perfect model with ease. You can adjust attributes such as gender, age, ethnicity, and hair color, making this tool an excellent asset for promoting diversity in your marketing campaigns. Choose from an extensive selection of predefined outfits or design your own via a straightforward text prompt, effortlessly shifting from casual to formal styles in an instant. There's no need to travel to various picturesque locations for stunning imagery; you can select any spot in the world—or even beyond—as your backdrop. By simply linking to a reference image of a pose, your model will be able to mimic that exact posture. Furthermore, you have the option to upload a real person's face, ensuring that the generated images retain a high degree of consistency with the original, or you can forge an entirely new yet strikingly realistic face. This groundbreaking approach to modeling photography not only streamlines the process but also expands the horizons of artistic expression, inviting you to explore new dimensions of creativity.
What is Flintra AI?
Flintra revolutionizes the way retailers present their merchandise by converting standard product images into stylish catalogue photographs that feature a digitally created model displaying the item. Retailers have the flexibility to utilize any photograph they possess, including flat lays, mannequins, hangers, or simple cutouts placed on a white backdrop.
When a store chooses a model's face, that same model is consistently used throughout the entire catalogue, promoting a cohesive look in both appearance and lighting, unlike using various individuals for each product. For brands seeking a different angle, they can opt for a brand mascot instead of a human model, or even choose a product-only mode that highlights the item without any human presence.
Flintra guarantees precise color fidelity by comparing each generated image to the original photo provided by the retailer, achieving a color accuracy within a dE range of 1-4, which falls below the detection threshold for the human eye.
Furthermore, any created image can be transformed into a brief 5 or 10-second video, and there is a presenter mode that allows for a person to be featured, holding the product and discussing it while their lip movements are synchronized.
In addition, all generated images are embedded with IPTC metadata to clearly indicate their AI-generated nature, aligning with the labeling requirements of various marketplaces and fostering transparency for consumers. This innovative technology not only simplifies the cataloging process for merchants but also significantly enhances the overall presentation quality of their offerings. Ultimately, Flintra empowers retailers to elevate their visual marketing strategies and engage customers more effectively through improved product imagery.
Integrations Supported
Additional information not provided
Integrations Supported
Additional information not provided
API Availability
API Availability
Pricing Information
Pricing not provided
Pricing Information
$17.99
Free Version
Free Trial Offered?
Supported Platforms
SaaS
Supported Platforms
SaaS
Customer Service / Support
Web-Based Support
Customer Service / Support
Web-Based Support
Training Options
Documentation Hub
Training Options
Documentation Hub
Company Facts
Organization Name
UnrealPhotoshoot
Company Website
unrealphotoshoot.com
Company Facts
Organization Name
Flintra AI
Date Founded
2026
Company Website
flintra.ai
Categories and Features
AI Fashion Design
Not specified
AI Fashion Model Generators
Not specified
Virtual Photoshoot
Not specified
Categories and Features
AI Fashion Model Generators
Not specified