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Image Generation Model

Wan 2.6

Wan 2.6 is an image generation model from Wan that accepts source images and text prompts to produce new images at $0.03 per image.

PublisherWan
TypeImage
Context Window2,000 tokens
ReleasedDecember 2025
Price$0.03/image
ProviderWaveSpeed
Source Image

Image generation with source image input

Wan 2.6 is an image generation model published by Wan and served through the Wavespeed provider on MindStudio. It accepts source images alongside text prompts, width and height parameters, negative prompts, and a seed value, making it suited for image-to-image generation workflows where an existing image guides the output. The model operates with a 2000-token context window for prompt input and is priced at $0.03 per generated image.

Wan 2.6 is particularly useful for tasks that require transforming or stylizing an existing image rather than generating one purely from text. The seed input allows for reproducible outputs, which is helpful when iterating on a specific result. Its configurable width and height inputs give developers control over output dimensions, and the negative prompt field lets users steer the model away from unwanted visual elements.

What Wan 2.6 supports

Image-to-Image Generation

Accepts one or more source images as input to guide the generated output, enabling style transfer and image transformation workflows.

Text Prompt Control

Supports both positive and negative text prompts within a 2000-token context window to direct and refine image content.

Custom Output Dimensions

Accepts explicit width and height number inputs so developers can specify the exact pixel dimensions of the generated image.

Reproducible Outputs via Seed

A seed input allows the same prompt and settings to produce identical results across multiple runs, supporting iterative refinement.

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Common questions about Wan 2.6

How much does it cost to generate an image with Wan 2.6?

Wan 2.6 is priced at $0.03 per generated image on MindStudio.

What is the context window for Wan 2.6?

Wan 2.6 has a context window of 2000 tokens, which applies to the text prompt inputs.

Does Wan 2.6 require a source image, or can it generate from text alone?

The model includes an image URL array as an input type, indicating it is designed to accept source images. Based on the metadata and its 'Source Image' tag, it is built for image-guided generation workflows.

Can I control the size of the generated image?

Yes. Wan 2.6 accepts explicit width and height number inputs, allowing you to define the output image dimensions.

When was Wan 2.6 released?

Wan 2.6 was released in December 2025 and became available on MindStudio in January 2026.

What people think about Wan 2.6

Community discussion around Wan 2.6 on Reddit was generally positive, with users highlighting the model's native audio synchronization and 1080p video output as notable features. The thread gained 231 upvotes and 78 comments, reflecting meaningful interest following the model's early API availability ahead of its official launch event.

Some users framed the release in the context of competition with other video generation systems, though specific technical limitations were not widely documented in the thread. The early API drop before the official announcement was a common point of discussion, with developers expressing interest in testing the model's multi-shot and lip-sync capabilities.

View more discussions →

Documentation & links

Parameters & options

ImagesImage URL Array
WidthNumber
Default: 1024Range: 768–1440
HeightNumber
Default: 1024Range: 768–1440
Negative PromptText

Description of what to exclude from the video.

SeedSeed

A specific value that is used to guide the 'randomness' of the generation.

Range: -1–2147483647

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