WAN 2.6 Image Edit
Generated on PixelDojo with WAN 2.6 Image Edit. Produced by PixelDojo's generation pipeline.
WAN 2.6 Image Edit costs a flat 1 credit per job and took about 22 seconds to move a character from a plain studio shot into a full rainy street scene on August 26, 2026. It has no standalone tool page of its own; it is the editing engine that sits behind the WAN 2.6 image tool and Canvas. This page covers the price, the measured speed, how well identity survived the move, and how it stacks up against the WAN 2.7 edit endpoint.
Same woman, new street, one credit
Every example below was produced on PixelDojo. Hover to see the prompt.
Place this exact woman on a bicycle crossing a rainy city crosswalk at dusk, neon shop signs reflecting in puddles, cinematic wide shot, keep her face, glasses, red curly hair, denim jacket and yellow shirt identical
WAN 2.6 Image Edit
How the edit endpoint handles a full scene swap
Flat 1 credit, regardless of input count
The price does not change whether you send 1 reference image or the full 4-image maximum for a fusion edit.
It kept the identity markers intact
The prompt named five things to preserve: face, glasses, red curly hair, denim jacket, yellow shirt. All five carried over into the new scene, on a bicycle, at a rainy crosswalk, with the original studio background fully replaced.
Default output matches the input's footprint
Size defaults to a 1K tier that follows the input image's own dimensions. Our source was a square character sheet, and the output came back at the same 1280 by 1280 footprint.
Up to 4 reference images per call
Beyond a single edit, it can fuse up to 4 images into one instruction, useful for placing a subject from one photo into a background from another.
It is a Canvas-only tool
There is no dedicated dashboard page for WAN 2.6 Image Edit. It only runs through Canvas or a direct API call, unlike WAN 2.7's edit endpoint which is also reachable through the main WAN 2.7 tool page.
Why Choose Pixel Dojo for WAN 2.6 Image Edit
Professional-quality results with cutting-edge AI technology
1 credit flat
Same price for a single-image touch-up or a 4-image fusion edit.
About 22 seconds, measured
Timed on August 26, 2026 from request to finished file.
Identity held across a full scene change
Face, glasses, hairstyle, and outfit all carried over even though the background, lighting, and pose changed completely.
How It Works
How we ran it, so you can repeat it:
Name every detail that must not change
Our prompt listed face, glasses, hair color, jacket, and shirt explicitly. All five survived the edit.
Send one reference image
We used a single character sheet image as the only input; up to 4 can be combined for a fusion edit.
Run it over the API
POST to /api/v1/models/wan-2.6-image-edit/run with the prompt and image_urls. Ours took about 22 seconds and charged 1 credit.
Loved by creators on PixelDojo
Real feedback from people using PixelDojo, pulled from our in-product surveys.
deployment rate of splendid features is incredible. Legend
large selection of tools on one platform
the amount you can do on this site
all in one place
It is a lot of fun to uae and easy too.
So many different models to try out
Explore more AI tools on PixelDojo
AI Tools
Compare & Switch
- Best AI Image Generators
- Best AI Video Generators
- Midjourney Alternatives
- Civitai Alternatives
- Runway Alternatives
- Leonardo Alternatives
- Pika Alternatives
- Luma Alternatives
- Magnific Alternatives
- Veo Alternatives
- Flux Alternatives
- Freepik Alternatives
- Seedance Alternatives
- Seedream Alternatives
- Pixverse Alternatives
- GPT Image Alternatives
- Synthesia Alternatives
- Playground Alternatives
- NightCafe Alternatives
- Canva AI Alternatives
- ElevenLabs Alternatives
- ComfyUI Alternatives
- Fal Alternatives
- Replicate Alternatives
Common Questions
Everything you need to know about WAN 2.6 Image Edit
What does WAN 2.6 Image Edit cost?
A flat 1 credit per job, whether you send 1 reference image or fuse up to 4 into one instruction.
How fast is WAN 2.6 Image Edit?
About 22 seconds in our August 26, 2026 run, measured from submission to the finished file. Real turnaround moves with queue load.
How many reference images can it take?
Up to 4 per request. That supports both single-image editing and multi-image fusion, like placing a subject from one photo into a scene from another.
Does it have its own tool page?
No. WAN 2.6 Image Edit has no standalone dashboard page. It runs through Canvas or a direct API call, and it is what powers the edit action on the WAN 2.6 image tool.
How does it compare to WAN 2.7 Image Edit?
WAN 2.7 Image Edit accepts up to 9 reference images against WAN 2.6's 4, and offers a Standard tier at 1 credit or a Pro tier at 2 credits. WAN 2.6 Image Edit has one flat price and no tier choice.
How do I call it from the API?
POST to /api/v1/models/wan-2.6-image-edit/run with your API key, a prompt, and an image_urls array. It is the same key and request shape as every other model in the catalog.