Adobe’s ‘natural look’ camera app embraces generative AI
Summary
Adobe's experimental Indigo camera app, initially designed for an "SLR-like look" on iPhones with computational photography and manual controls, has received a significant update to version 1.1. This update introduces a suite of generative AI tools called "AI Playground," which does not rely on Adobe's Firefly models but instead uses Google's Nano Banana AI model. The AI Playground features four sections: Styles for applying preset AI filters, Object Editing for removing distractions similar to Google's Magic Eraser, Photo Guidance for AI-driven reshoot and editing suggestions, and Custom Edit for detailed image manipulation via prompting. Adobe is testing this free, no-sign-on suite with a small user percentage to learn about GenAI-powered editing, with a potential paid version later. The company is also working to integrate C2PA Content Credentials, noting Nano Banana already uses Google's SynthID watermark.
Key takeaway
For mobile photographers or app developers evaluating new editing capabilities, Adobe's integration of generative AI into its Indigo camera app signals a shift towards AI-augmented computational photography. You should consider how these tools, like AI-driven object removal or stylistic filters, could streamline your workflow or enhance creative output. Be mindful of the experimental nature and the eventual paid model, and always prioritize responsible use and transparency regarding AI-generated content, especially with evolving standards like C2PA.
Key insights
Adobe's Indigo app integrates generative AI, powered by Google's Nano Banana, for diverse photo editing and guidance.
Principles
- Generative AI can enhance traditional computational photography.
- AI-powered editing can be offered as an experimental, opt-out feature.
- Transparency standards like C2PA and watermarking are crucial.
Method
The Indigo app's "AI Playground" offers Styles, Object Editing, Photo Guidance, and Custom Edit sections. Each section uses engineered prompts to trigger generative AI, allowing users to re-trigger for varied results.
In practice
- Experiment with AI-generated filters for stylistic changes.
- Use AI object removal to clean up busy photo backgrounds.
- Leverage AI feedback for improving photo composition.
Topics
- Generative AI
- Mobile Photography
- Adobe Indigo
- Computational Photography
- AI Photo Editing
- Content Credentials
- Google Nano Banana
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Editorial summary, takeaway, and curation by AIssential. Original article published by The Verge.