Edit images using reference photos






























Wan v2.6 Image to Image is a highly versatile image generation model designed specifically for creative professionals, such as artists, designers, filmmakers, and content creators, who seek intuitive yet powerful tools for composing new visuals from reference images and text. Developed by Black Forest Labs, Wan v2.6 allows users to merge, transform, and bring together concepts from up to three reference images, all guided by a richly descriptive prompt. This model excels in harnessing both image and text inputs to produce compelling, customized imagery that matches complex creative visions.
At its core, Wan v2.6 enables you to describe the final image you want by referencing specific details from up to three different images. You may, for example, ask the model to place the character from one photo into the setting of another, while incorporating an object from a third—all articulated in your own words. The model is highly responsive to both English and Chinese prompts, and supports nuanced prompting up to 2,000 characters, making it well-suited for detailed art direction and concept visualization. It's particularly effective for visual narratives, storyboarding, composite artworks, and fantasy or concept art, where blending multiple ideas into one seamless image is critical.
Creative professionals benefit from an approachable interface: simply drag and drop images, paste from your clipboard, or upload via direct URLs. Supported image types include JPEG, JPG, PNG (without transparency), BMP, and WEBP, with reference image resolutions ranging from 384 to 5000 pixels in either dimension and a maximum of 10MB each. Output images can be customized for a wide array of formats and resolutions. Preset aspect ratios like square, landscape (4:3 or 16:9), and portrait modes are available for convenience, or you can define precise width and height if you need something specific. However, the total output image size must fall within a range designed for optimal performance: from 768x768 up to 1280x1280 pixels.
One of the model's standout features is its ability to let you control what should or should not appear in the final result. Using the negative prompt option, you can specify unwanted elements (up to 500 characters), such as errors, distortions, or undesirable objects, to further refine the image and maintain high creative control. You can also set the number of images to generate in a single request (from 1 up to 4), making it easy to review multiple options and select the best fit for your project.
Wan v2.6 supports enhanced creative guidance features, like the optional prompt expansion tool. When enabled, this feature uses language AI to refine and optimize your descriptions, often yielding improved visual results—especially with simpler prompts. Note that enabling prompt expansion adds a few seconds to processing time, so you can toggle this depending on your priorities. For safe creative environments, a built-in safety checker can moderate both input and output images, helping ensure work remains appropriate for your audience.
Use cases are diverse. Artists can blend illustration styles and poses from different sketches to invent entirely new scenes. Designers may quickly iterate on brand visuals by mixing product photos and stock settings. Filmmakers can mock up storyboards that realistically combine character shots with detailed backgrounds or props. Content creators can produce eye-catching composites, social media graphics, or promotional visuals by remixing personal and stock imagery.
While Wan v2.6 opens tremendous opportunities for creative storytelling and composite generation, there are a few considerations. The quality and fidelity of outputs align with the resolution and clarity of your reference images; for best results, provide high-quality, relevant source images. The model supports only JPEG, PNG (no transparency), BMP, and WEBP as references—files with other formats or with transparent backgrounds aren’t currently supported. Each reference image must be between 384px and 5000px, and outputs are capped at 1280x1280 pixels to preserve efficiency and reliability.
Overall, Wan v2.6 Image to Image is a robust, accessible tool for anyone looking to merge ideas, craft new visuals from references, or rapidly prototype and refine creative concepts. With intuitive controls for blending content, dictating detail, and preventing unwanted elements, it empowers creative professionals to go from inspiration to finalized artwork with agility and confidence.
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A woman kneeling in darkness, illuminated by a warm, radiant beam of light emerging from her raised hand.
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Exhibits dynamic environment editing by shifting the mood and atmosphere of realistic landscapes for cinematic storytelling or creative marketing.


Showcases how the model can reimagine buildings by blending global architectural aesthetics for use in design visualization or travel inspiration.


Demonstrates high-impact environmental editing by transforming realistic nature photos into dreamlike fantasy scenes for concept art or editorial visuals.


“Transform into a classical oil painting in the style of Rembrandt. Add visible impasto brushstrokes with thick paint texture. Apply warm golden undertones and dramatic chiaroscuro lighting with deep shadows. Enhance the dramatic contrast while preserving facial structure and expression. Add subtle canvas texture visible through the paint layers.”
“Transform into a classical oil painting in the style of Rembrandt. Add visible impasto brushstrokes with thick paint texture. Apply warm golden undertones and dramatic chiaroscuro lighting with deep shadows. Enhance the dramatic contrast while preserving facial structure and expression. Add subtle canvas texture visible through the paint layers.”

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