Edit Image with AI

Prompt-Based Image Editing Models

Here is a list of the state of the art image editing models:

• Google Gemini Flash 2.5 - Nano Banana: Gemini 2.5 Flash Image (Codename - Nano Banana) is Google's state-of-the-art image generation and editing model. It is a new variant of the Gemini 2.5 family, specifically designed for fast, conversational, and multi-turn creative workflows.
• Bytedance Seedream 4: Seedream 4.0 is ByteDance's next-generation image creation model that combines text-to-image generation and image editing into a single architecture. It offers fast, high-resolution image generation, rich prompt understanding, and support for multi-reference and batch workflows.
• Qwen Image Edit: Qwen-Image-Edit supports both low-level visual appearance editing (such as adding, removing, or modifying elements, requiring all other regions of the image to remain completely unchanged) and high-level visual semantic editing (such as IP creation, object rotation, and style transfer, allowing overall pixel changes while maintaining semantic consistency).
• Flux Kontext Dev/Pro/Max: FLUX.1 Kontext is a state-of-the-art image editing model from Black Forest Labs that allows you to edit images using text prompts. It’s the best in class for text-guided image editing and offers superior results.
• Bytedance SeedEdit 3.0: SeedEdit 3.0 is an image editing model that supports editing images through text commands. Built on the Seedream 3.0 text-to-image model with enhanced data fusion methods and reward models, it specializes in preserving image subjects, backgrounds, and details while making targeted edits.

What You Can Do with these models?

These models are pretty good at:

• Semantic and Appearance Editing: Qwen-Image-Edit supports both low-level visual appearance editing (such as adding, removing, or modifying elements, requiring all other regions of the image to remain completely unchanged) and high-level visual semantic editing (such as IP creation, object rotation, and style transfer, allowing overall pixel changes while maintaining semantic consistency).
• Precise Text Editing: Qwen-Image-Edit supports bilingual (Chinese and English) text editing, allowing direct addition, deletion, and modification of text in images while preserving the original font, size, and style.
• Strong Benchmark Performance: Evaluations on multiple public benchmarks demonstrate that Qwen-Image-Edit achieves state-of-the-art (SOTA) performance in image editing tasks, establishing it as a powerful foundation model for image editing.
• Background Swapping: Change environments while preserving subjects.
• Character Consistency: Maintain identity across multiple edits.
• License: Qwen-Image is licensed under Apache 2.0.

Best Practices For Prompts

♣ Be Specific

• Use clear, detailed language with exact colors and descriptions
• Avoid vague terms like “make it better”
• Name subjects directly: “the woman with short black hair” vs. “she”

♣ Preserve Intentionally

• Specify what should stay the same: “while keeping the same facial features”
• Use “maintain the original composition” to preserve layout
• For background changes: “Change the background to a beach while keeping the person in the exact same position”

♣ Text Editing Tips

• Use quotation marks: “replace ‘old text’ with ‘new text’”
• Stick to readable fonts
• Match text length when possible to preserve layout

♣ Style Transfer

• Be specific about artistic styles: “impressionist painting” not “artistic”
• Reference known movements: “Renaissance” or “1960s pop art”
• Describe key traits: “visible brushstrokes, thick paint texture”

♣ Complex Edits

• Break into smaller steps for better results
• Start simple and iterate
• Use descriptive action verbs instead of “transform” for more control

Commercial Use

When using these models on Imagine AI, you are free to use outputs commercially in apps, marketing, or any business use.

Tips and Tricks for Using These Models

• Be specific with colors, styles, and descriptions
• Start simple and iterate on successful edits
• Preserve intentionally by stating what to keep unchanged
• Use quotation marks for exact text replacements
• Control composition by specifying camera angles and framing
• Choose verbs carefully - “change” vs “transform” gives different results