---

name: wan-v2-6-image-to-image description: "Wan | v2.6 | Image to Image. Edit and transform images using reference images with the Wan v2.6 model. Triggers: image to image, image editing, wan edit, style transfer" allowed-tools: Bash(curl *), WebFetch

Wan | v2.6 | Image to Image

Edit and transform images using reference images with the Wan v2.6 model. Supports LLM prompt expansion, multiple reference images, and Chinese/English prompts for versatile image editing.

Quick Start

Requires an each::labs API key. Get one at eachlabs.ai.

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "wan-v2-6-image-to-image",
    "version": "0.0.1",
    "input": {
      "prompt": "Transform this photo into an oil painting style with vivid autumn colors",
      "image_urls": ["https://example.com/landscape.jpg"],
      "image_size": "square_hd",
      "enable_prompt_expansion": true
    }
  }'

Parameters

Parameter	Type	Default	Description
enable_prompt_expansion	boolean	true	Enable LLM prompt optimization. Significantly improves results for simple prompts.
enable_safety_checker	boolean	true	Enable content moderation for input and output.
image_size	string	square_hd	Output image size. Options: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9
image_urls	array	-	Reference images for editing (1-3 images required). Order matters.
negative_prompt	string	-	Content to avoid in the generated image. Max 500 characters.
num_images	integer	1	Number of images to generate (1-4).
prompt	string	-	Text prompt describing the desired image. Supports Chinese and English. Max 2000 characters.
seed	integer	-	Random seed for reproducibility (0-2147483647).

Examples

Simple style transfer:

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "wan-v2-6-image-to-image",
    "version": "0.0.1",
    "input": {
      "prompt": "Convert to anime style illustration",
      "image_urls": ["https://example.com/portrait.jpg"]
    }
  }'

Multi-reference editing with negative prompt:

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "wan-v2-6-image-to-image",
    "version": "0.0.1",
    "input": {
      "prompt": "Combine the style of the first image with the composition of the second",
      "image_urls": ["https://example.com/style-ref.jpg", "https://example.com/composition-ref.jpg"],
      "negative_prompt": "blurry, low quality, distorted",
      "num_images": 2,
      "image_size": "landscape_16_9",
      "seed": 42
    }
  }'

Related Models

• Wan | v2.6 | Text to Image - Generate images from text with Wan v2.6
• Wan | v2.6 | Image to Video - Generate video from images with Wan v2.6
• Wan | v2.6 | Text to Video - Generate video from text with Wan v2.6

Documentation

• each::labs Docs
• API Reference