¡Google acaba de Destrozar los Influencers! Crea personajes consistentes GRATIS

The video opens by highlighting the growing trend of AI-generated virtual influencers, noting that Spanish creators and major brands like IKEA are already leveraging non-existent AI characters for commercial purposes. The presenter frames Google Flow as a newly updated platform that can facilitate this creation process largely for free, organizing the tutorial around four pillars: consistency, variations, movement, and style transfer.

In the first section on consistency, the presenter introduces Google Flow's 'Characters' feature, which saves AI-generated characters for reuse across projects. A nine-pillar prompt framework is outlined for creating realistic characters, covering shot type, technical realism, unique identifiers, facial structure, skin texture, lighting, clothing, composition, and emotional tone. A custom Gemini Gem template is offered to automate this process. The presenter also demonstrates how uploading a personal photo allows users to create a realistic avatar of themselves, with a three-perspective (front, side, back) image system ensuring full-body consistency.

The second section covers variations, showing how the '@' mention system in Flow lets users apply saved characters to new scenes — such as teaching a class of robot students or posing with a perfume product. The presenter demonstrates placing multiple characters in a single scene, as well as using Flow's new Tools suite for image editing, angle changes, brightness/contrast adjustments, text overlays, in-painting, and outpainting for format resizing.

The third section addresses movement and video generation. Flow's video feature uses credits (50 renewed daily on free plans), and the presenter demonstrates assigning a consistent AI voice to a character so all generated videos use the same vocal identity. Two videos are generated to verify voice consistency across different scenes. Techniques for improving video quality are discussed, including using the 'Fast' model and setting start/end frames for more controlled output.

The fourth section explores style and movement transfer using Gemini's OVNI model, which accepts multiple video inputs and blends them. The presenter shows replacing themselves in a selfie video with a Mario Bros. scene, changing their setting to a TV studio, and transferring their own gestures onto the science character. OneVideo is introduced as a fully free alternative platform with avatar animation and character-switching capabilities similar to Gemini OVNI, concluding with a philosophical note that in the age of AI characters, the message matters more than the face delivering it.