awesome-genmedia 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