The model that didn't exist, so you made it yourself

This post details a workflow for creating custom, smaller AI models for local execution using an AI assistant (ML Intern). It showcases the creation of a 0.8B parameter model for prompt rewriting (Qwen-Image 2.1-PE-T2I-Pocket-0.8B) and a LoRA for camera-angle control (Qwen-Image 2.1-viewpoint-orbit-LoRA). The process involves defining requirements, generating training data (e.g., 8,797 requests for the pocket rewriter, 24,722 images for camera-angle LoRA), fine-tuning on Hugging Face hardware, and evaluating the results. The post highlights cost-effectiveness (e.g., USD 16 for the camera-angle LoRA project) and the ability to create specialized models that fit on consumer devices.