AuraTuner is an AI video and image studio built around two layers: a curated generation backend and practical workflow starters. The backend brings selected video and image models into one Studio, so users can choose from strong models, preview credit costs, and generate without switching between multiple standalone tools.
The workflow layer helps users start from a real job rather than a blank prompt. Current workflow starters include product photo to video, fashion photo to video, Amazon listing image generation, Amazon main image checks, Amazon A+ module images, Amazon comparison charts, Etsy listing photo drafts, Shopify product media troubleshooting, AI product background replacement, GPT Image-2 product posters, and readable AI posters with text.
AuraTuner combines video and image generation in one workspace. Video workflows support models such as Seedance 2.0, WAN 2.7 Video, Veo 3.1, and Kling 3.0 for product loops, social clips, cinematic tests, fashion motion, reference-led animation, and video-to-video edits. Image workflows support models such as GPT Image-2, Nano Banana 2, Nano Banana Pro, WAN 2.7 Image, and Seedream 5.0 Lite for product images, listing visuals, campaign graphics, poster concepts, background edits, and controlled image-to-image work.
The product is built for iterative creation. Users can start with lower-cost first passes, see credit costs before running a generation, inspect product fidelity, readable text, crop, motion, and claims, then move to higher-quality or higher-volume outputs when the direction is ready. The workflow layer is intentionally practical and still expanding; the core value today is combining selected models, pricing visibility, and repeatable starting points in one place. AuraTuner also includes a free browser-based Gemini Watermark Remover for eligible Gemini or Nano Banana images that users have the right to edit.
The workflow layer helps users start from a real job rather than a blank prompt. Current workflow starters include product photo to video, fashion photo to video, Amazon listing image generation, Amazon main image checks, Amazon A+ module images, Amazon comparison charts, Etsy listing photo drafts, Shopify product media troubleshooting, AI product background replacement, GPT Image-2 product posters, and readable AI posters with text.
AuraTuner combines video and image generation in one workspace. Video workflows support models such as Seedance 2.0, WAN 2.7 Video, Veo 3.1, and Kling 3.0 for product loops, social clips, cinematic tests, fashion motion, reference-led animation, and video-to-video edits. Image workflows support models such as GPT Image-2, Nano Banana 2, Nano Banana Pro, WAN 2.7 Image, and Seedream 5.0 Lite for product images, listing visuals, campaign graphics, poster concepts, background edits, and controlled image-to-image work.
The product is built for iterative creation. Users can start with lower-cost first passes, see credit costs before running a generation, inspect product fidelity, readable text, crop, motion, and claims, then move to higher-quality or higher-volume outputs when the direction is ready. The workflow layer is intentionally practical and still expanding; the core value today is combining selected models, pricing visibility, and repeatable starting points in one place. AuraTuner also includes a free browser-based Gemini Watermark Remover for eligible Gemini or Nano Banana images that users have the right to edit.