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Part 5: Find the best option - Asking Manus In Part 2, Part 3, and Part 4 we tested twelve tools to enhance one of our Brainies, the text model. We decided in Part 1 to take inspiration from Agatha Christie to give more personality to the mascot.

Part 4: Testing KlingAI, Dezgo, Midjourney, OpenArt, and Recraft In Part 3, we tested Fotor, PhotoEditor.ai, Consistory, Phot.ai, and GetImg to enhance our Brainies, but we did not improve the results from Part 2.

Part 3: Testing Fotor, PhotoEditor.ai, Consistory, Phot.ai, and GetImg In Part 2, we tested Flux, cgdream.ai, and Think Diffusion to enhance our Brainies, and started achieving better results. Please refer to Part 1 if you are curious about why we embarked on that journey.

Part 2: Testing Flux, cgdream.ai & Think Diffusion In Part 1, we analyzed Manus’ recommendations, designed the experience, and prepared the comparison. In this Part 2 of our Brainy transformation series, we put Flux, cgdream.ai, and Think Diffusion to the test. These tools specialize in AI-powered image-to-image generation, promising to refine Brainy’s design while maintaining his core identity.

Part 1: Introduction to AI Image Manipulation & Our Brainy Transformation Project Introduction At System in Motion, we’re always exploring how AI can enhance business processes - including branding. Our mascot, the Brainies, represents intelligence and innovation, but after a thorough weakness analysis by Manus, we identified areas for visual improvement. To test AI’s capabilities in refining Brainy, we’re launching a 5-part experiment using 13 cutting-edge AI image manipulation tools.

Google’s ambitious plan to showcase its Gemini AI assistant at the 2024 Paris Olympics hit a snag following a significant backlash against its “Dear Sydney” commercial. The ad, intended to highlight the inspirational connection between Olympic medalist Sydney McLaughlin and a young fan, instead sparked controversy over its portrayal of AI’s role in personal human interactions. So, Google had to pull the ad.