Many Google fans have been awaiting the new Google image model and it has been released today in Gemni and in Google AI Studio for FREE to all users.

If you want to access it via the API it will cost about 4 cents an image.

Google has announced the public release of its native image generation and editing capabilities within Gemini and AI Studio, powered by the Gemini 2.5 Flash Image model. This is a significant development, as it moves beyond simply generating images from text prompts and into more complex, conversational and iterative creative workflows.

Here's everything you need to know about this new announcement:

Key Features of Gemini 2.5 Flash Image

This new model is designed to provide greater creative control and higher-quality image outputs. It is considered "State of the Art" (SOTA) for both image generation and editing. The key features include:

• Multi-image Fusion: You can now combine multiple reference images into one seamless new visual. This is particularly useful for things like marketing, advertising, or creating unified visuals from different sources.

• Character and Style Consistency: A major challenge in AI image generation has been maintaining the identity of a character or a specific visual style across multiple generated images. Gemini 2.5 Flash Image addresses this, allowing you to place the same character or product in different scenes without them losing their identity.

• Conversational Editing: This is a major leap forward. You can now edit images using simple, natural language instructions. You don't need complex tools or manual selections. You can ask Gemini to do things like:

  • Remove a person from a group photo.

  • Fix a small detail like a stain on a shirt.

  • Change the background of an image.

  • Alter a subject's pose.

• Native World Knowledge: Unlike many other image generation models, Gemini 2.5 Flash Image benefits from Gemini's deep, semantic understanding of the real world. This allows for new use cases, such as generating images that follow complex instructions or even understanding and responding to hand-drawn diagrams.

• High-Fidelity Text Rendering: The model is better at generating legible and well-placed text within images, which is useful for things like logos, diagrams, and posters.

Availability and Pricing

• Public Preview: Gemini 2.5 Flash Image is in a public preview phase.

• Where to Access It: Developers and enterprises can access the model via the Gemini API, Google AI Studio, the Gemini app and Vertex AI.

• Pricing: The model is priced at $30.00 per 1 million output tokens, with each image counting as 1,290 output tokens. This comes out to approximately $0.039 per image.

Safety and Responsibility

Google has emphasized that the model was designed with responsibility in mind, consistent with its AI Principles. To ensure transparency, all images created or edited with Gemini 2.5 Flash Image will include an invisible SynthID digital watermark, clearly identifying them as AI-generated or edited.

How it Works and What it Means

This new capability is a shift towards a more fluid and conversational creative process. You can start with a text prompt, and then use follow-up prompts to refine and edit the image. This iterative process, where you can make small changes over multiple turns, is a significant improvement over the traditional "one-and-done" prompt-based generation. It allows for a more natural back-and-forth, akin to a creative collaboration.

Google has also partnered with other companies like Adobe, Poe (by Quora), WPP, Freepik, and Leonardo.Ai to integrate this technology, which signals a strong push for its adoption in professional creative workflows.

In short, Google's new offering is not just about generating images, but about providing a powerful, conversational, and integrated tool for visual creation and editing. It's a move to make AI image generation a more intuitive and collaborative process for both developers and creative professionals.

The Setup:

I used for n8n (automation platform) + Gemini 2.0 Flash API to create a workflow that:

- Takes the chat prompts

- Enriches them with extra context (Wikipedia + search data)

- Generates both images and text descriptions

- Outputs ready-to-use as PNG files

Here's the interesting part : instead of just throwing prompts at Gemini, I built in some "smart" features:

1. Context Enhancement

- Workflow automatically researches about your topic

- Pulls relevant details from Wikipedia

- Grabs current trends from the search data

- Results in the way better image generation

2. Response Processing

- Handles base64 image data conversion

- Formats everything into a clean PNG files

- Includes text descriptions with each image

- Zero manual work needed

The Results?

• Generation time: ~5-10 seconds

• Image quality: Consistently good

Some cool use cases I've found:

- Product visualization

- Content creation

- Quick mockups

- Social media posts

The whole thing runs on autopilot , drop a prompt in the chat, get back a professional-looking image.

I explained everything about this in my video if you are interested to check, I just dropped the video link in the comment section.

Happy to share more technical details if anyone's interested. What would you use something like this for?