The video demonstrates Google’s Gemini 2.5 Pro model’s impressive improvements in coding, image editing, and inpainting capabilities through a hands-on test, showcasing its ability to generate realistic and high-quality images with minimal prompts. The creator expresses high satisfaction with the model’s performance, ease of use, and potential for further development in creative and coding applications.
The video showcases a hands-on test of Google’s Gemini 2.5 Pro model, recently updated and now called the preview version, emphasizing its improved coding and image generation capabilities. The creator begins by exploring the model’s performance through building a web app in Next.js that utilizes OpenAI’s image generation API. They start by gathering documentation and setting up the project environment, including installing necessary packages and configuring environment variables, to prepare for integrating the model into their app.
Next, the creator demonstrates the initial implementation of an image editing app that allows users to upload a main image and an object image, such as clothing or accessories, to be added to the main photo. They test the app by uploading images and observe the model’s ability to generate realistic edits. While the results are promising, they note some issues, such as the model altering parts of the face unintentionally. They consider adding features like masking and freehand drawing to improve precision and control over the editing process.
The creator then experiments with more advanced features, including masking and inpainting, where users can draw on the image to specify areas for editing. They test the app’s ability to replace or add objects within images, such as inserting a fishing rod or removing parts of a scene. The Gemini 2.5 Pro model performs well, producing natural-looking results, though some inconsistencies and unexpected changes in facial features are observed. They also explore adding a text prompt option to complement image-based inpainting, providing more flexibility for users.
Throughout the video, the creator highlights the smooth performance and significant improvements of the Gemini 2.5 Pro model compared to previous versions or other models like Claude. They experiment with combining images and text prompts, such as creating realistic animal images or replacing elements in existing photos. The model’s ability to generate high-quality, coherent images with minimal prompts impresses the creator, reinforcing their positive impression of the update.
In conclusion, the creator expresses high satisfaction with the Gemini 2.5 Pro preview, noting its strong performance in coding, image editing, and inpainting tasks. They appreciate the ease of use, the variety of features, and the potential for further development. The video ends with encouragement for viewers to try the model themselves, emphasizing its accessibility through Google Studio and its promising future in creative and coding applications.