{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/83030f715bb8499d9c5ae0a18d4cbc82\" frameborder=\"0\" width=\"2218\" height=\"1663\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1663,"width":2218,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1663,"thumbnail_width":2218,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/83030f715bb8499d9c5ae0a18d4cbc82-5a5620ce7924ac84.gif","duration":2725.429,"title":"Virtual Staging Workflow With Image Cleanup","description":"This Loom explains the process for quality checking and organizing AI-generated “vacant” images for virtual staging. The author compares original images with newly generated empty versions, deletes or marks problem cases such as missing features, incorrect walls, added TV or lights, and wrong materials like fully carpet or fully marble. After tagging and cross-referencing, they use Lightroom Classic to manually remove errors and regenerations as needed, ensuring shadows and reflections match. They then sort staged images into folders like bedroom and bathroom, note there were no virtual Twilight shots, and ask to add virtual Twilight shots for future ones before running the project again through Cloud Code."}