WAN 2.5 Image
The image generation model from the Wan Video team. WAN 2.5 Image produces high-quality, diverse visual content across photorealistic, artistic, and stylized outputs — with strong multilingual prompt support and seamless image-to-video workflow integration.
What is WAN 2.5 Image?
WAN 2.5 Image is the still image generation model from the Wan Video team, the same team behind the WAN 2.5 and WAN 2.6 video generation models. The image model brings the same visual quality standards to still image generation that WAN's video models deliver in motion — rich visual output, diverse style range, and strong multilingual capabilities.
Because WAN 2.5 Image shares the visual language of WAN's video generation family, images generated with it can serve as highly compatible starting frames for WAN video models. The stylistic consistency across image and video generation in the WAN ecosystem enables more coherent image-to-video pipelines than cross-provider workflows typically achieve.
WAN 2.5 Image's multilingual support makes it accessible to teams working in Chinese, Japanese, Korean, and other Asian languages — producing quality results from prompts written in those languages without requiring translation. For production teams creating content for Asian markets or working in multilingual organizations, this reduces friction significantly.
WAN quality
Video team's image model
Diverse styles
Photo, art, illustration
Multilingual
Asian language support
Video-compatible
WAN pipeline starting frame
How to generate images with WAN 2.5 Image on project.video
Open the composer
Go to your project.video dashboard. WAN 2.5 Image is available under Wan Video models in the image generation section.
Select WAN 2.5 Image
Choose WAN 2.5 Image for high-quality still image generation with WAN's visual quality and multilingual support. Especially useful if you're also using WAN video models.
Write your prompt
Write your image description in English, Chinese, Japanese, Korean, or another language. WAN 2.5 Image produces accurate results across multilingual inputs without requiring translation.
Generate and use
Generate your image. Use it standalone or feed it into WAN 2.5 or WAN 2.6 video as a starting frame for a coherent image-to-video pipeline within the WAN model family.
Technical specs
Best use cases
WAN image-to-video pipeline
Generate a starting frame with WAN 2.5 Image, then animate it with WAN 2.5 Video or WAN 2.6 Video. The visual consistency across the WAN model family produces more coherent image-to-video output than cross-provider workflows.
Asian market content production
Generate imagery for Chinese, Japanese, Korean, and other Asian market campaigns with prompts written directly in those languages. WAN 2.5 Image's multilingual training produces nuanced, culturally appropriate imagery from native-language descriptions.
Diverse visual style creation
Produce imagery across photorealistic, animated, illustrated, and stylized aesthetics. WAN 2.5 Image handles the broad style range that content teams working across multiple channels and formats require.
Content series with consistent aesthetics
Generate a series of images with consistent visual treatment by keeping stylistic descriptors stable across prompts. WAN 2.5 Image maintains stylistic coherence across generated series, useful for campaigns and content collections.
Example prompts
WAN 2.5 Image handles both English and multilingual prompts well. These examples demonstrate its versatility.
"A serene Japanese garden at dawn — stone lanterns, a wooden bridge over a koi pond, cherry blossom petals on the water, soft morning mist, traditional architecture visible in the background. Watercolor painting style."
"An urban street food market at night in Taipei — glowing vendor stalls, steam rising from hot food, people eating at plastic stools, warm neon signs in Chinese characters, candid documentary photography style."
"A product flat lay: a minimalist skincare kit on cream-colored linen — glass serum bottle, ceramic moisturizer pot, bamboo spatula, dried botanicals as decoration. Top-down shot, soft studio lighting."