Wan 2.6 Text to Image: Reference-Aware Prompt-to-Image Generation on playground and API | RunComfy

wan-ai/wan-2-6/text-to-image

Generate high-quality, reference-aware images from text prompts with precise style and identity control, ideal for brand visuals, ad creatives, and e-commerce product imagery.

The prompt should be less than 2000 characters.
Optional reference image. Supported formats: JPEG, JPG, PNG (no alpha), BMP, WEBP. Resolution per side: 384~5000 px. Max size: 10 MB.
Content to avoid in the generated image.
The maximum number of images to generate. The actual number of generated images is determined by model inference and may be less than the set value. For example, if set to 5, the model might generate only 3 images based on the content.
Idle
[CRAZY LOW PRICE]: The rate is $0.015 per image.

Introduction to Wan 2.6 Text to Image

Wan AI's Wan 2.6 Text to Image converts prompts into production-ready images at $0.015 per image (almost cheapest price), delivering reference-aware generation with precise style and identity control. Trading stock hunts and manual retouching for consistent, reference-driven art direction that preserves character and brand attributes while eliminating complex masking and rework, Wan 2.6 Text to Image is built for marketing leaders, creative directors, and e-commerce brand teams. For developers, Wan 2.6 Text to Image on RunComfy can be used both in the browser and via an HTTP API, so you don’t need to host or scale the model yourself.
Ideal for: High-Conversion Ad Creatives | Product Hero Image Creation | Storyboard Key Frames

Examples of Wan 2.6 Text to Image

Model Overview


  • Provider: Alibaba Cloud
  • Task: text-to-image
  • Max Resolution/Duration: Configurable; presets for square, 4:3, 16:9; custom dimensions supported per API constraints
  • Summary: Wan 2.6 Text to Image generates high-fidelity, reference-aware images from natural-language prompts with precise style and identity control. It supports mixed text-and-image workflows for robust edits and brand-consistent outputs. Designed for technical artists and developers, Wan 2.6 Text to Image emphasizes prompt adherence, realistic textures, and stable composition.

Key Capabilities


Reference-aware identity and style control

  • Maintains subject identity and visual attributes using optional image references while following the prompt’s style requirements.
  • Produces consistent character and brand elements across runs, enabling reliable ad creatives and product visuals.

High-fidelity, prompt-accurate rendering

  • Responds to detailed instructions about subject, style, lighting, mood, and composition in English or Chinese.
  • Delivers logical scene layout and realistic textures, improving clarity for e-commerce, marketing, and editorial imagery.

Text-and-image editing workflows

  • Accepts mixed inputs for image edits and refinements with stable results.
  • Enhances production pipelines where iterative adjustments, negative prompts, and precise corrections are required.

Input Parameters


Core Prompts

ParameterTypeDefault/RangeDescription
promptstringDefault: ""; Max 2000 charsMain description of the desired image. Use clear nouns, styles, lighting, mood, and composition.
negative_promptstringDefault: ""; Max 500 charsSpecify unwanted attributes (artifacts, objects, colors) to avoid.

References & Assets

ParameterTypeDefault/RangeDescription
image_urlimage_uriDefault: ""; JPEG/JPG/PNG(no alpha)/BMP/WEBP; 384~5000 px per side; 10 MBOptional reference image for style/identity or edits. Must meet format, size, and resolution constraints.

Dimensions & Settings

ParameterTypeDefault/RangeDescription
image_sizestring (choice/custom)Default: square_hd; Choices: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9, CustomSelect a preset aspect ratio or provide custom width/height per API constraints.
seedintegerDefault: 0; Range: 0~147483647Set for reproducibility. Use a fixed seed to make outputs deterministic across runs.

How Wan 2.6 Text to Image compares to other models


  • Vs Flux 2 (static image model): Compared to Flux 2, Wan 2.6 Text to Image emphasizes reference-aware identity and mixed text-image editing inside a unified workflow. Choose Wan 2.6 Text to Image when precise identity control and editability are priorities. Special offer: Flux 2 Dev is free on RunComfy platform now.
  • Vs Z-Image-Turbo (efficiency-focused): Compared to Z-Image-Turbo, Wan 2.6 Text to Image prioritizes reference-based consistency and logical composition across complex prompts. Select Wan 2.6 Text to Image when maintaining brand/subject fidelity outweighs ultra-fast single-shot generation.
  • Vs Nano Banana Pro (high-res static images): Compared to Nano Banana Pro, Wan 2.6 Text to Image integrates reference-aware generation and edit stability with strong style control. Use Wan 2.6 Text to Image for robust identity-driven campaigns and iterative creative refinement.
  • Ideal Use Case: Choose Wan 2.6 Text to Image for brand visuals, ad creatives, and e-commerce imagery where reference-aware identity, style control, and reliable edit workflows are critical.

API Integration


Developers can seamlessly integrate Wan 2.6 Text to Image via the RunComfy API using standard HTTP requests. Send prompts, optional references, and dimensions to generate production-ready images that respect strict aspect and content controls. The API is designed for quick onboarding, predictable parameters, and easy automation in CI/CD or creative pipelines.


Note: API Endpoint for Wan 2.6 Text to Image


Official resources and licensing



Explore Related Capabilities


If you require motion and storytelling, please use the Wan 2.6 Text to Video model, optimized for multi-shot coherence and audiovisual sync: https://www.runcomfy.com/models/wan-ai/wan-2-6/text-to-video


If you want to animate or extend an existing visual, use Wan 2.6 Image to Video, tailored for turning reference images into short, consistent clips: https://www.runcomfy.com/models/wan-ai/wan-2-6/image-to-video


Related Playgrounds

Frequently Asked Questions

What are the primary capabilities of Wan 2.6 Text to Image compared to earlier Wan models?

Wan 2.6 Text to Image offers more stable multi-shot storytelling, full 1080p video generation, improved lip-sync, and stronger reference handling. Its text-to-image mode benefits from better lighting, texture realism, and consistent character identity across scenes.

How does Wan 2.6 Text to Image differ technically from static text-to-image competitors like Flux 2 or Nano Banana Pro?

Unlike Flux 2 or Nano Banana Pro, Wan 2.6 Text to Image supports multimodal generation. While competitors focus on static image fidelity, Wan 2.6 extends text-to-image capability into cinematic video outputs with synced audio, making it ideal for storytelling and dialogue scenes.

What is the maximum resolution and aspect ratio supported in Wan 2.6 Text to Image outputs?

Wan 2.6 Text to Image produces up to 1080p resolution video outputs at 24fps. In text-to-image mode, it renders static frames up to 1920×1080 pixels and supports 16:9, 9:16, and 1:1 aspect ratios to accommodate various platforms.

Are there any input or prompt limitations when using Wan 2.6 Text to Image?

Yes. In Wan 2.6 Text to Image mode, prompts are limited to roughly 800 tokens, and up to one 5-second video or image reference input is accepted. Complex text-to-image prompts are automatically segmented for multi-shot continuity but must stay within token limits.

How does one transition from testing Wan 2.6 Text to Image in RunComfy Playground to production API usage?

After prototyping with Wan 2.6 Text to Image in the RunComfy Playground, developers can switch to the RunComfy API endpoint using their account API key. The same text-to-image model specification is available under the 'wan-2-6' namespace for production deployments. Ensure usd credits are active before API calls.

What makes the visual identity preservation in Wan 2.6 Text to Image superior?

Wan 2.6 Text to Image integrates improved diffusion consistency and reference encoding. This enables characters and styles defined in text-to-image or multimodal inputs to remain visually stable across multiple shots, reducing flicker and drift between frames.

Does Wan 2.6 Text to Image include built-in audio or sound synchronization?

Yes. Wan 2.6 Text to Image is among the few models with native audio-video synchronization. For video prompts, it tightly aligns lip movement and audio output, extending beyond traditional text-to-image systems that only handle visuals.

Can developers use Wan 2.6 Text to Image outputs commercially?

Wan 2.6 Text to Image provides full commercial rights per the official Wan site, but developers should verify the final license terms before large-scale deployment. Text-to-image outputs and generated videos can generally be used in marketing, education, or product media, subject to compliance with Wan AI’s licensing policies.

How does Wan 2.6 Text to Image maintain storytelling continuity and lip-sync across dialogue scenes?

Through shot-level planning, Wan 2.6 Text to Image uses temporal consistency models and precise audio-visual pairing. Even in text-to-image mode, stylistic and layout parameters propagate across frames, while in full video mode, speech timing is synchronized with character motion.

Is Wan 2.6 Text to Image efficient for short-form content on mobile platforms?

Yes. Wan 2.6 Text to Image is optimized for generating vertical 9:16 formats suitable for mobile video. Text-to-image scenes render quickly, and completed videos integrate seamlessly into social media or branded storytelling projects via the RunComfy mobile-optimized interface.

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