Together AI has announced the integration of three advanced image generation models from Black Forest Labs' FLUX Tools suite, which aims to provide developers with enhanced control over image composition, depth and style. This development represents a significant step forward in AI-powered image generation, bringing innovative capabilities to developers and artists alike.
Introduction to new models
The newly launched templates — Canny, Depth, and Redux — are designed to facilitate a range of creative possibilities by enabling users to iterate on existing images. The Canny model focuses on fine-grained texture control through edge detection, while the Depth model preserves spatial relationships using depth mapping. Redux, on the other hand, creates subtle variations in an image without the need for a text prompt, making it ideal for enhancing existing visuals.
Advanced image control using ControlNet
At the heart of these models is ControlNet, a neural network architecture developed at Stanford University. This technique allows fine control of image generation using additional input images as a guide, thus providing a structural blueprint for the model to follow. This results in a more predictable output, reducing the number of iterations needed to achieve the desired image.
Practical applications and tools
These models are available through Together AI's APIs, allowing developers to seamlessly integrate them into their projects. The availability of open source application examples such as Blinkshot and LogoCreator also demonstrates the practical applications of these models. Additionally, developers can take advantage of the free FLUX schnell template endpoint until the end of the year, providing an opportunity to explore these tools without a financial commitment.
For developers interested in experimenting with these models, Together AI offers a Python SDK for easy integration. This SDK allows for quick and efficient integration of FLUX models into various applications, enhancing the creative process with cutting-edge technology.
For more detailed information about these models, visit Together for Artificial Intelligence blog.
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