Features & Labels

Features & Labels, founded in 2023 in San Francisco, California, offers a generative media platform designed for developers. The platform provides a variety of models, including Stable Diffusion XL, Stable Cascade, and Stable Video Diffusion, and supports real-time WebSocket inference infrastructure. It supports multiple programming languages such as JavaScript, Python, and Swift, and offers various pricing options based on GPU, VRAM, CPUs, and CPU memory usage. The platform features the fal Inference Engine™, which claims to run diffusion models up to 50% faster and more cost-effectively. Users can opt for private deployments of the inference engine and benefit from a cost-effective scalability model where they only pay for the computing power they consume. The platform also includes a demo gallery with various demos like Upscaler Arena and 3D Canvas, and offers specialized models such as Japanese Stable Diffusion XL and MetaVoice for text-to-speech. Additionally, it provides a variety of upscalers, including Creative Upscaler and Clarity Upscaler, and supports integration with platforms like Next.js and Vercel. Detailed documentation and quickstart guides are available for developers. Features & Labels focuses on leveraging AI to solve complex challenges in fields like healthcare and environmental sustainability and supports a wide range of model categories including text-to-image, image-to-image, image-to-video, and text-to-video. The platform allows users to suggest new models and offers models optimized for specific tasks like Whisper for speech-to-text and Wizper for optimized speech transcription. Users can also experiment with different models in the provided playground. The company values innovation, integrity, collaboration, and excellence.