Image Generation Model

Wan 2.5

Wan 2.5 is an image generation model from Wan that accepts source images and produces new images at $0.03 per image.

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Publisher

Wan

TypeImage

Context Window2,000 tokens

ReleasedSeptember 2025

Price$0.03/image

Provider

WaveSpeed

Source Image

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About Wan 2.5

Image generation from source images with seed control

Wan 2.5 is an image generation model published by Wan and served through the Wavespeed provider on MindStudio. It accepts image URL arrays as input alongside configurable width, height, negative prompt, and seed parameters, giving users direct control over output dimensions and reproducibility. The model is priced at $0.03 per image and operates with a 2,000-token context window for prompt processing.

Wan 2.5 is designed for workflows that start from a source image, making it suited for image-to-image generation tasks where an existing visual reference guides the output. The inclusion of a seed input allows developers to reproduce specific results consistently, which is useful for iterative creative pipelines. Negative prompts can be supplied to steer the model away from unwanted visual elements, giving additional control over the final output.

Capabilities

What Wan 2.5 supports

Source Image Input

Accepts an array of image URLs as input references to guide the generation process, enabling image-to-image workflows.

Custom Output Dimensions

Supports configurable width and height parameters so developers can specify exact pixel dimensions for generated images.

Negative Prompt Control

Accepts a text-based negative prompt to exclude unwanted visual elements or styles from the generated output.

Seed-Based Reproducibility

Supports a seed input that allows developers to reproduce identical outputs across multiple runs, useful for iterative pipelines.

Per-Image Pricing

Billed at a flat rate of $0.03 per image with no subscription required, making cost straightforward to predict at scale.

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FAQ

Common questions about Wan 2.5

How much does Wan 2.5 cost to use?

Wan 2.5 is priced at $0.03 per image generated, with no additional subscription fees on MindStudio.

What is the context window for Wan 2.5?

Wan 2.5 has a context window of 2,000 tokens, which applies to the text prompt inputs processed by the model.

Does Wan 2.5 support image-to-image generation?

Yes. Wan 2.5 accepts an array of image URLs as input, allowing source images to guide the generation of new images.

Can I control the output image size?

Yes. The model accepts separate width and height parameters so you can specify the exact pixel dimensions of the generated image.

Is there a way to reproduce the same image output?

Yes. Wan 2.5 includes a seed input parameter. Using the same seed with the same prompt and settings will reproduce consistent results.

Community Discussion

What people think about Wan 2.5

Reddit discussions around Wan 2.5 in the r/StableDiffusion community show considerable enthusiasm, with threads accumulating hundreds of upvotes and comments shortly after the model's announcement. Users frequently praised the model's video quality and the introduction of native audio generation as notable additions to the open-source video generation landscape.

A recurring concern in the community was the availability of open weights, with multiple threads specifically dedicated to requesting or anticipating their release. Some discussion also touched on how Wan 2.5 relates to other models in the Wan lineage, including speculation about whether VACE 2.2 would be superseded by this release.

r/StableDiffusion234 pts219 comments

Wan 2.5

r/StableDiffusion290 pts132 comments

Ask nicely for Wan 2.5 to be open source

r/StableDiffusion84 pts106 comments

VACE 2.2 might not come instead WAN 2.5

r/StableDiffusion91 pts60 comments

There was a time when I used to wait for the release of a newly announced game or the next season of my favorite series — but now, more than anything in the world, I’m waiting for the open weights of Wan 2.5.

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