Z-Image Turbo is positioned in the MakeInfluencer registry for sub-second photorealistic image generation. That makes it a useful model for concept exploration, thumbnail drafts, ad-variation testing, and interactive products where latency matters more than using the most expensive image engine for every attempt.
Current API Inputs
| Field | Options |
|---|---|
prompt | Required generation instruction |
size | Fixed square, landscape, and portrait pixel presets |
imageUrl | Optional source image for image-guided output |
strength | 0–1 transformation strength, default 0.6 |
outputFormat | jpeg, png, or webp |
Use the live Z-Image Turbo API page for exact presets and current credit cost.
Fast Text-to-Image Example
curl --request POST \
https://www.makeinfluencer.ai/api/v1/models/z-image-turbo/preview-credits \
--header "Authorization: Bearer $MAKEINFLUENCER_API_KEY" \
--header "Content-Type: application/json" \
--data '{
"input": {
"prompt": "Clean ecommerce portrait of a streetwear creator, soft gray background, direct flash",
"size": "720*1280",
"strength": 0.6,
"outputFormat": "webp"
}
}'
Once approved, send the same request to /models/z-image-turbo/generations with an idempotency key.
Image-Guided Variation
Add imageUrl when the workflow starts from an existing image. The strength field controls how far the result can move from that source.
- Lower strength favors the source composition
- Higher strength allows a more aggressive transformation
- A mid-range default is a sensible starting point for variation testing
Always review identity and product details. Strength is not a guarantee that a face, logo, or package will remain exact.
High-Iteration Product Pattern
Draft Quickly
Generate several low-friction concepts with Z-Image Turbo using a stable prompt template.
Collect Signals
Let a person, creative score, or experiment choose the strongest direction.
Refine Selectively
Edit the winner with Qwen or regenerate it on a premium model only when the use case requires it.
Animate the Winner
Spend video credits only after the image passes identity and campaign review.
This funnel protects gross margin. A product does not need to use its highest-cost model for every idea a user abandons.
Choosing an Output Format
| Format | Use it for |
|---|---|
| JPEG | Small photographic previews and feeds |
| WebP | Web delivery when modern format support is acceptable |
| PNG | Lossless assets, graphics, or another editing stage |
Choose the format based on the next consumer in the pipeline, not habit. A preview grid may benefit from WebP while an editing workflow may prefer PNG.
Z-Image Turbo vs Dreamina V3
Use Z-Image Turbo when iteration speed and fixed practical output sizes are the priority. Use Dreamina V3 when you want its broader aspect-ratio workflow and a clear optional single-reference editing mode.
Latency Is a Product Feature
Faster drafts can improve activation because users reach a first usable result before abandoning the workflow. Reserve premium models for stages where the quality difference can increase conversion or selling price.
API FAQ
Is Z-Image Turbo really sub-second?
The current MakeInfluencer model registry lists typical inference below one second. End-to-end API time also includes queueing, network, storage, and status updates, so do not hard-code a sub-second SLA.
Can it use an existing image?
Yes. Supply imageUrl and tune strength between 0 and 1.
How many images does one request return?
The model capability is one output per underlying generation. The generic image request can queue multiple copies, each tracked by its returned generation ID.
How do I avoid duplicate charges on retry?
Send a stable, unique Idempotency-Key with the generation request. Replaying the same key and payload returns the first response.