---

name: z-image-turbo-image-to-image-lora description: "Z Image | Turbo | Image to Image | Lora. Transform images with LoRA weights using Z Image Turbo. Triggers: image to image, lora, style transfer, z image, ai transform" allowed-tools: Bash(curl *), WebFetch

Z Image | Turbo | Image to Image | Lora

Transform images using the Z Image Turbo model with LoRA weight support. Combine reference images with text prompts and custom LoRA models for precise style transfers and image-to-image generation.

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": "z-image-turbo-image-to-image-lora",
    "version": "0.0.1",
    "input": {
      "prompt": "Transform into a watercolor painting style",
      "image_url": "https://example.com/photo.jpg",
      "loras": [{"path": "https://example.com/watercolor-lora.safetensors", "scale": 0.8}],
      "strength": 0.6,
      "image_size": "auto",
      "output_format": "png"
    }
  }'

Parameters

Parameter	Type	Default	Description
acceleration	string	none	The acceleration level to use. Options: none, regular, high
enable_prompt_expansion	boolean	false	Whether to enable prompt expansion.
enable_safety_checker	boolean	true	If set to true, the safety checker will be enabled.
image_size	string	auto	The size of the generated image. Options: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9, auto
image_url	string	-	URL of Image for Image-to-Image generation.
loras	array	-	List of LoRA weights to apply.
num_images	integer	1	The number of images to generate.
num_inference_steps	integer	8	The number of inference steps to perform.
output_format	string	png	The format of the generated image. Options: jpeg, png, webp
prompt	string	-	The prompt to generate an image from.
seed	integer	-	Seed for reproducible generation.
strength	number	0.6	The strength of the image-to-image conditioning.

Examples

Basic image-to-image with LoRA:

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "z-image-turbo-image-to-image-lora",
    "version": "0.0.1",
    "input": {
      "prompt": "In the style of Studio Ghibli, soft pastel colors",
      "image_url": "https://example.com/landscape.jpg",
      "loras": [{"path": "https://example.com/ghibli-lora.safetensors", "scale": 1.0}]
    }
  }'

Strong transformation with acceleration:

curl -X POST https://api.eachlabs.ai/v1/prediction \
  -H "Content-Type: application/json" \
  -H "X-API-Key: $EACHLABS_API_KEY" \
  -d '{
    "model": "z-image-turbo-image-to-image-lora",
    "version": "0.0.1",
    "input": {
      "prompt": "Convert to pixel art retro game style",
      "image_url": "https://example.com/character.jpg",
      "loras": [{"path": "https://example.com/pixel-art-lora.safetensors", "scale": 0.9}],
      "strength": 0.8,
      "acceleration": "high",
      "num_inference_steps": 10,
      "output_format": "webp",
      "seed": 42
    }
  }'

Related Models

• Z Image | Turbo | Lora - Text-to-image with LoRA
• Z Image | Turbo | Controlnet | Lora - ControlNet with LoRA
• Z Image | Turbo | Image to Image - Image-to-image without LoRA

Documentation

• each::labs Docs
• API Reference