This article introduces IMAGGarment-1, a framework for generating garments with detailed control over silhouette, color, and logo placement. It features a two-stage training process that separates global appearance from local details, allowing for precise customization in fashion design. The authors also present GarmentBench, a large dataset to support their model, which includes nearly 190,000 garment samples with various design conditions.