Fixed model workspace
Wan 2.7 Image is locked on this page, so generation settings stay tied to the current model.
AI Image Generator
Wan 2.7 Image AI Image Generator
Wan 2.7 Image by Alibaba is available on Videmos as a balanced image model. Its supported inputs and output controls are shown directly in the generator.
Direct answer
Wan 2.7 Image is a image model from Alibaba available through Videmos. This page shows the configured inputs, output controls, credit cost of 4 per use, examples or workflow notes when available, and links to the provider information used to describe the model. Check the generator before submitting because availability follows the current Videmos configuration.
Last updated: July 12, 2026
Balanced Image
text prompt / up to 4 reference images4 creditsAlibaba
Create with Wan 2.7 Image using the inputs and output settings shown above.
Wan 2.7 Image
What is Wan 2.7 Image?
Wan 2.7 Image by Alibaba is available on Videmos as a balanced image model. Its supported inputs and output controls are shown directly in the generator.
Use the generator above to review the available inputs, output controls, and credit cost for this model.
ProviderAlibaba
Inputtext prompt / up to 4 reference images
Credits4 credits/use
Size1:1 / 16:9 / 9:16 / 4:3 / 3:4 / 21:9
Wan 2.7 Image key features
Current input support
text prompt / up to 4 reference images
Visible controls
Size / Resolution / Output count / Seed / Negative prompt
Credit cost
Each submitted task uses 4 credits.
Negative prompt
Use the negative prompt field to describe content that should be excluded from the result.
Seed testing
Seed is shown only when the current generator exposes it for this model.
Wan 2.7 Image use cases
Product visuals
Use prompts or reference images when the configured model supports them.
Campaign variants
Use size, resolution, count, and output controls shown on the page.
Reference-led edits
Available when the model capability includes reference images.
Wan 2.7 Image examples
Prompt setup
Describe a clear subject, setting, lighting, and output direction for Wan 2.7 Image.
text prompt / up to 4 reference images
Parameter setup
Size / Resolution / Output count / Seed / Negative prompt
Uses current Videmos configuration
Wan 2.7 Image technical capabilities
Provider
Alibaba
Input
text prompt / up to 4 reference images
Credits
4 credits/use
Size
1:1 / 16:9 / 9:16 / 4:3 / 3:4 / 21:9
Resolution
1K / 2K / 4K
Output count
1 / 2 / 4
Seed
Optional numeric value
Negative prompt
Supported
Wan 2.7 Image model comparison
Input
text prompt / up to 4 reference images
Flux API: text prompt / up to 8 reference images · Flux Kontext: text prompt / 1 reference image · GPT-Image-1: text prompt / up to 4 reference images
Controls
Size / Resolution / Output count / Seed / Negative prompt
Flux API: Size / Resolution · Flux Kontext: Size · GPT-Image-1: Size / Quality setting / Output count
Credits
4
Flux API (4) / Flux Kontext (5) / GPT-Image-1 (6)
Videmos suggestion
Choose Wan 2.7 Image when its listed inputs and controls match the task.
Use peer models when they expose a different input path, output control, or credit cost.
How to use Wan 2.7 Image
Choose input mode
text prompt / up to 4 reference images
Write the prompt
Describe only the subject, scene, motion, style direction, and constraints you actually need.
Set supported controls
Size / Resolution / Output count / Seed / Negative prompt
Generate and review
Submitted tasks appear in Assets when the generation pipeline accepts the request.
Wan 2.7 Image FAQ
What is Wan 2.7 Image?
Wan 2.7 Image by Alibaba is available on Videmos as a balanced image model. Its supported inputs and output controls are shown directly in the generator.
Which inputs does Wan 2.7 Image support on Videmos?
text prompt / up to 4 reference images
Which controls are shown?
Size / Resolution / Output count / Seed / Negative prompt
How many credits does it use?
Wan 2.7 Image uses 4 credits per submitted task in the current catalog.
Is this an objective model ranking?
No. The comparison sections are Videmos configuration guidance based on visible inputs, controls, and credit cost.