Z Image Turbo Image To Image LoRA
Playground
Try it on WavespeedAI!Z-Image-Turbo Image-to-Image LoRA transforms reference images with custom LoRA styles in sub-second time. Apply up to 3 LoRAs for personalized image transformation. Ready-to-use REST inference API, best performance, no cold starts, affordable pricing.
Features
Z-Image Turbo Image-to-Image LoRA
Z-Image Turbo Image-to-Image LoRA is a versatile image generation model with full LoRA support. Apply up to 3 custom LoRA adapters while controlling the transformation spectrum — from subtle enhancement to dramatic reimagination — all via the strength parameter.
This is not a simple editing tool — it’s a generation engine that combines custom styles with flexible image modification.
Looking for the standard version? Try Z-Image Turbo Image-to-Image without LoRA support.
Why Choose This?
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LoRA support Apply up to 3 custom LoRA adapters to personalize style, characters, or visual aesthetics.
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Flexible transformation spectrum From near-lossless enhancement to complete style overhaul — all controlled by a single strength slider.
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Quality enhancement mode At low strength, improve image quality and add detail while applying subtle LoRA styles.
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Creative reimagination mode At high strength, combine LoRA styles with dramatic image transformation.
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Prompt Enhancer Built-in tool to automatically improve your prompts for better results.
Understanding Strength
The strength parameter controls how much the output differs from your input image:
| Strength | Effect | Use Case |
|---|---|---|
| 0.0 - 0.3 | Minimal change — enhances quality, applies subtle LoRA style | Upscaling with style hints, quality improvement |
| 0.3 - 0.6 | Moderate change — preserves structure, blends LoRA style | Style fusion, character consistency |
| 0.6 - 0.8 | Significant change — keeps composition, strong LoRA influence | Style transfer, artistic reinterpretation |
| 0.8 - 1.0 | Maximum change — LoRA style dominates, image as reference | Creative reimagination, full style transformation |
Parameters
| Parameter | Required | Description |
|---|---|---|
| prompt | Yes | Text description guiding the transformation |
| image | Yes | Source image to transform (upload or URL) |
| loras | No | List of LoRA adapters to apply (up to 3) |
| width | No | Output width in pixels (default: 1024) |
| height | No | Output height in pixels (default: 1024) |
| strength | No | Transformation intensity 0-1 (default: 0.6) |
| seed | No | Random seed for reproducibility (-1 for random) |
LoRA Format
Each LoRA in the loras array has:
- path (required) — URL to the LoRA weights file
- scale (optional) — Weight multiplier, default 1
How to Use
- Upload your image — drag and drop or paste a public URL.
- Write your prompt — describe the desired output or transformation.
- Add LoRAs — click ”+ Add Item” to include custom LoRA adapters (up to 3).
- Set strength — low for enhancement, high for reimagination.
- Adjust output size — set width and height as needed.
- Run — submit and download the transformed image.
Pricing
| Item | Cost |
|---|---|
| Per image | $0.01 |
Simple flat-rate pricing regardless of image size, strength, or LoRA count.
Best Use Cases
- Character Transformation — Apply character LoRAs while preserving pose and composition.
- Style Transfer with Control — Use style LoRAs with adjustable strength for precise blending.
- Brand Consistency — Transform images to match brand aesthetics via custom LoRAs.
- Artistic Reinterpretation — Combine multiple art style LoRAs for unique hybrid looks.
- Quality Enhancement — Improve image quality while subtly applying trained styles.
Pro Tips
- Start with strength 0.5-0.6 to balance original image and LoRA influence.
- LoRA effect is more visible at higher strength values.
- Combine LoRAs carefully — multiple LoRAs can conflict; test combinations.
- If your LoRA uses trigger words, include them in your prompt.
- Use the same seed to compare different strength levels or LoRA combinations.
Notes
- Up to 3 LoRAs can be applied simultaneously.
- LoRA version pricing is 2× the standard version.
- Output dimensions can differ from input — set width and height to your target size.
- At low strength, the original image dominates; at high strength, LoRA styles dominate.
Related Models
- Z-Image Turbo Image-to-Image — Standard version without LoRA support.
- Z-Image Turbo Text-to-Image — Generate images from text prompts only.
- Z-Image LoRA Trainer — Train custom LoRAs for Z-Image models.
Authentication
For authentication details, please refer to the Authentication Guide.
API Endpoints
Submit Task & Query Result
# Submit the task
curl --location --request POST "https://api.wavespeed.ai/api/v3/wavespeed-ai/z-image-turbo/image-to-image-lora" \
--header "Content-Type: application/json" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}" \
--data-raw '{
"loras": [],
"size": "1024*1024",
"strength": 0.6,
"seed": -1,
"enable_sync_mode": false,
"enable_base64_output": false
}'
# Get the result
curl --location --request GET "https://api.wavespeed.ai/api/v3/predictions/${requestId}/result" \
--header "Authorization: Bearer ${WAVESPEED_API_KEY}"
Parameters
Task Submission Parameters
Request Parameters
| Parameter | Type | Required | Default | Range | Description |
|---|---|---|---|---|---|
| prompt | string | Yes | - | The positive prompt for the generation. | |
| image | string | Yes | - | Reference image URL to guide the generation style or composition. | |
| loras | array | No | max 3 items | List of LoRAs to apply (maximum 3). | |
| loras[].path | string | Yes | - | Path to the LoRA model | |
| loras[].scale | float | Yes | - | 0.0 ~ 4.0 | Scale of the LoRA model |
| size | string | No | 1024*1024 | 256 ~ 1536 per dimension | The size of the generated media in pixels (width*height). |
| strength | number | No | 0.6 | 0.00 ~ 1.00 | Controls the strength of the transformation. Higher values produce outputs more different from the input image. |
| seed | integer | No | -1 | -1 ~ 2147483647 | The random seed to use for the generation. -1 means a random seed will be used. |
| enable_sync_mode | boolean | No | false | - | If set to true, the function will wait for the result to be generated and uploaded before returning the response. This property is only available through the API. |
| enable_base64_output | boolean | No | false | - | If enabled, the output will be encoded into a BASE64 string instead of a URL. This property is only available through the API. |
Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data.id | string | Unique identifier for the prediction, Task Id |
| data.model | string | Model ID used for the prediction |
| data.outputs | array | Array of URLs to the generated content (empty when status is not completed) |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.has_nsfw_contents | array | Array of boolean values indicating NSFW detection for each output |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |
Result Request Parameters
| Parameter | Type | Required | Default | Description |
|---|---|---|---|---|
| id | string | Yes | - | Task ID |
Result Response Parameters
| Parameter | Type | Description |
|---|---|---|
| code | integer | HTTP status code (e.g., 200 for success) |
| message | string | Status message (e.g., “success”) |
| data | object | The prediction data object containing all details |
| data.id | string | Unique identifier for the prediction, the ID of the prediction to get |
| data.model | string | Model ID used for the prediction |
| data.outputs | string | Array of URLs to the generated content (empty when status is not completed). |
| data.urls | object | Object containing related API endpoints |
| data.urls.get | string | URL to retrieve the prediction result |
| data.status | string | Status of the task: created, processing, completed, or failed |
| data.created_at | string | ISO timestamp of when the request was created (e.g., “2023-04-01T12:34:56.789Z”) |
| data.error | string | Error message (empty if no error occurred) |
| data.timings | object | Object containing timing details |
| data.timings.inference | integer | Inference time in milliseconds |