video1.0<iframe src="https://www.loom.com/embed/c11621b7b87748718b9a264abf152b03" frameborder="0" width="1280" height="960" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>9601280Loomhttps://www.loom.com9601280https://cdn.loom.com/sessions/thumbnails/c11621b7b87748718b9a264abf152b03-de6f28749e0df2e5.gif307.584This Loom explains an AI workflow to automatically generate professional e-commerce model photos from product or fabric images. It claims processing takes under 40 seconds per image at about Rs. 8 to 9 per image, compared with traditional photography costs of roughly Rs. 500 to Rs. 2000 per product, which would take weeks for 500 products. The system uses AI models including Claude Heisman for fabric and product classification and Flux for image generation, with images sent through FastAPI and hosted on AWS. Users upload input and output folders, and the pipeline detects new images, generates prompts based on product type such as saree, kurti set, lehenga, or jewelry, and saves the generated results automatically in the output folder.