Gemini’s AI image editing capabilities are powerful tools, but they’re not perfect. The model can struggle with small faces, accurate spelling, and fine details in images. To achieve studio-quality results, you need to exercise fine control over every aspect of your images.
This means using Gemini’s real-world knowledge to deliver precise results, from complex infographics to historically accurate scenes. You can also explore how powerful AI image editing can support advanced creative workflows, test ideas, create eye-catching designs, and mock up prototypes.
However, it’s essential to be aware of the limitations of Gemini’s capabilities. The model may misinterpret information or produce factually incorrect results when generating infographics or annotating diagrams. Additionally, advanced features like masked editing or blending multiple images may sometimes produce unnatural results.
To ensure accuracy and consistency, always verify data-driven outputs, especially when working with sensitive topics. Gemini’s developers are working to improve character consistency and minimize the likelihood of harmful content in datasets.
When using Gemini’s image generation capabilities, you’ll notice that all images are imperceptibly watermarked with SynthID technology. This allows you to detect whether an image has been created or edited using AI.
To supercharge your creativity and productivity, take advantage of Gemini’s latest features, including enterprise-ready generative AI models. However, be cautious when relying on Large Language Models (LLMs), as they may provide inaccurate or offensive content that doesn’t represent Google’s views.
Source: https://deepmind.google/models/gemini-image/pro