1. Workflow Title
AI-Powered Color Grade Transfer for Images
2. Overview
This workflow automates the process of color grading images by transferring the color palette from one reference image to another target image. Designed for photographers, graphic designers, and digital artists, this tool utilizes advanced AI models like ChatGPT 5.2 and Nano Banana 2 to achieve seamless color transitions without manually adjusting each element. The primary advantage is time-saving through automation, enabling creators to maintain a consistent aesthetic across large volumes of content with enhanced precision and reduced effort.
3. How does it work
- •ChatGPT 5.2: This model is central to interpreting the inputs and formulating a system prompt that describes how to apply the reference image’s color palette to the target image by leveraging advanced multimodal intelligence.
- •Nano Banana 2: This model executes the actual image transfer, converting textual prompts into photorealistic images and ensuring the transferred color maintains fidelity and style as specified in the prompts.
- •The workflow chains these models, where an initial color palette adaptation is computed by ChatGPT 5.2 and subsequently applied to produce a new version of the target image using Nano Banana 2.
4. How to customize it
Users can modify the workflow by changing the images and system prompts to suit different artistic styles or project requirements. For example, if a designer wishes to explore various mood boards, they can replace the input and reference images to see how different palettes affect the target image. Adjusting the system prompt to include desired color characteristics or specific elements can also offer varied interpretations and results.
5. Who is it for
- •Photographers seeking to maintain a specific aesthetic across portfolios.
- •Graphic designers needing consistent color themes in marketing campaigns.
- •Digital artists aiming for uniformity in multimedia projects.