This is a minimal test model published under optimum-intel-internal-testing for validating Latent Consistency Model (LCM) pipelines. It is designed for developers integrating with the Diffusers library to test text-to-image generation workflows. The model uses Apache 2.0 licensing and provides example code for loading via DiffusionPipeline.
In the Image generation space, Tiny Random Latent Consistency takes a focused approach. It focuses on testing and validating Latent Consistency Model pipelines without using full-scale models. It is built as an open-source project for AI developers. Tiny Random Latent Consistency is open source under the Open Source license. The product ships for the web, the command line, and API.
Optimum Intel Internal Testing builds and maintains Tiny Random Latent Consistency, and the product first shipped in 2024. Key capabilities include text-to-Image, Diffusers Support, and safetensors.
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