Unlocking new use cases with 17 new models in Workers AI, including new LLMs, image generation models, and more

This post announces the addition of 17 new models to the Workers AI catalog, expanding its capabilities. New text generation models include @cf/deepseek-ai/deepseek-math-7b-instruct, @cf/openchat/openchat-3.5-0106, @cf/microsoft/phi-2, @cf/tinyllama/tinyllama-1.1b-chat-v1.0, @cf/thebloke/discolm-german-7b-v1-awq, @cf/qwen/qwen1.5-0.5b-chat, @cf/qwen/qwen1.5-1.8b-chat, @cf/qwen/qwen1.5-7b-chat-awq, @cf/qwen/qwen1.5-14b-chat-awq, @cf/tiiuae/falcon-7b-instruct, and @cf/defog/sqlcoder-7b-2. A summarization model, @cf/facebook/bart-large-cnn, is also added. For text-to-image, new models include @cf/lykon/dreamshaper-8-lcm, @cf/runwayml/stable-diffusion-v1-5-inpainting, @cf/runwayml/stable-diffusion-v1-5-img2img, and @cf/bytedance/stable-diffusion-xl-lightning. An image-to-text model, @cf/unum/uform-gen2-qwen-500m, is also available. The post highlights new language models with improved multilingual support and smaller, faster SLMs. It also details new Stable Diffusion pipelines for image-to-image and inpainting use cases, including code examples. The model catalog is being optimized using ONNX and TensorRT formats.