• AI Image Generation — Generate high-resolution images using 29+ AI models including FLUX.2 [max], GPT Image, Seedream 4.5, Qwen Image, Z-Image Turbo, Nano Banana Pro, and Grok Imagine — with Auto Model Selection automatically choosing the best model for your prompt, and support for text-to-image, image-to-image, and image variations.
• AI Video Generation — Generate cinematic video clips using Text to Video and Image to Video workflows powered by Google Veo 3.1, Sora 2, Kling 2.6 / O1, Seedance 1.0 (Lite, Pro, Pro Fast), MiniMax Hailuo 02, and Wan — the largest multi-model AI video library available under one platform subscription.
• Google Veo 3.1 Integration — Access Google's most advanced video generation model directly inside Getimg.ai — producing cinematically realistic short video clips with accurate motion, environmental detail, and natural lighting from text or image inputs.
• AI Editing Suite — Upscale images to 2× resolution, resize for any platform dimension, remove backgrounds, change backgrounds, swap hairstyles, perform inpainting edits, and fix specific image regions — all natively within the platform without exporting to external tools.
• Auto Model Selection — An intelligent system that automatically selects the optimal AI model from the 29+ library for your specific task — whether text-to-image, video, or editing — based on your prompt intent, eliminating the need for model research or prompt syntax learning.
• Elements (Style & Character Consistency) — Upload a style reference image or character shot once and every subsequent output automatically inherits that aesthetic, ensuring brand-level consistency across dozens of generated assets without manual tweaking.
• Asset Management — A centralized media library within the platform for organizing, storing, and accessing all generated images and video clips from one dashboard — available across all team members in shared workspaces.
• Team Collaboration (Shared Workspace & Create Team) — Multi-seat team workspaces with shared credits, collaborative generation queues, and organized shared asset libraries — supporting up to 2 teams on Core, 5 on Plus, and 10 on Ultra.