Wan 2.7 Image to Image
Wan 2.7 also works well for image-to-image editing. Upload one or more reference images, describe what should stay and what should change, then control the result with width, height, size, and seed.
10b.ai is an independent AI service and is not affiliated with any model provider. We deploy and optimize Apache-2.0 licensed models on our own infrastructure.
Why use Wan 2.7 for image editing?
A flexible image-to-image workflow for structure guidance, high resolution, and reproducible edits.
Multiple image inputs
Custom size control
Seed for stable iteration
Great for structure-led edits
Editing tips
Say what to preserve
Mention pose, outline, silhouette, composition, or other structure you want to keep.
Add appearance details next
Describe hair, accessories, clothing, materials, and mood precisely for more stable edits.
Increase size for finer detail
Higher sizes usually help with faces, small accessories, and fabric texture.
Use -1 first, then a fixed seed
Explore directions with random generation, then switch to a fixed seed for controlled revision.
Best use cases
Silhouette-guided redraws
Turn outlines, sketches, or simple structure references into more complete images.
Character refinement
Improve clothing, hairstyle, accessories, and facial expression with text guidance.
Style transfer
Transform a source image into a more polished commercial, poster, or photo-like result.
High-resolution output
Prepare larger assets for product visuals, covers, and social key art.
Frequently asked questions
Common questions about Wan 2.7 image to image.
Start editing with Wan 2.7
Upload your references, set the output size, and test Wan 2.7 in image-to-image workflows.