Z-Image Turbo LoRA delivers ultra-fast text-to-image generation using a 6B-parameter model, enhanced with LoRA adapter support for custom styles. This inference endpoint excels in sub-second photorealistic outputs via optimized 8-step sampling.
vs. Stable Diffusion LoRA: Excels in 8-step speed for sub-second outputs versus Stable Diffusion's 20-50 steps, enabling real-time use cases. LoRA support matches but adds bilingual prompts and lower VRAM needs (16GB viable).
vs. Flux.2: Turbo's 6B efficiency trumps Flux.2's heavier footprint for edge deployments, with comparable photorealism but superior latency. LoRA customization provides style flexibility without full fine-tuning overhead.
vs. DALL·E 3: DALL·E 3 has superior prompt understanding and safety filtering. Z-Image Turbo provides open fine-tuning (via LoRA), lower latency, and transparent commercial terms, ideal for embedded AI products.
Z-Image Turbo LoRA is documented for custom style application, including using LoRA weights to steer the visual style without retraining the base model. It is also documented for brand-consistent generation, supporting outputs that match a brand look.
It is documented for character consistency workflows, where specific characters can be kept consistent across generated images. It is also documented for rapid design iteration, supporting fast experimentation with visual concepts and variations.
import requests r = requests.post( "https://api.aimlapi.com/v1/images/generations", headers={"Authorization": "Bearer " + AIMLAPI_KEY}, json={ "model": "z-image/turbo/lora", "prompt": "A cat holding a sign that says hello" }, ) print(r.json())
const r = await fetch("https://api.aimlapi.com/v1/images/generations", { method: "POST", headers: { Authorization: `Bearer ${process.env.AIMLAPI_KEY}`, "Content-Type": "application/json", }, body: JSON.stringify({ "model": "z-image/turbo/lora", "prompt": "A cat holding a sign that says hello" }), }); console.log(await r.json());
curl -X POST https://api.aimlapi.com/v1/images/generations \ -H "Authorization: Bearer $AIMLAPI_KEY" \ -H "Content-Type: application/json" \ -d '{"model":"z-image/turbo/lora","prompt":"A cat holding a sign that says hello"}'
OpenAI-compatible — swap the base URL and it works with your existing SDK.
| Type | Price |
|---|---|
| Output | |
| Model | Input | Output | Context | Best for |
|---|---|---|---|---|
Z-Image Turbo LoRA This page | Image generation at scale | |||
| Image generation at scale | ||||
| Image generation at scale | ||||
| Image generation at scale | ||||
| Image generation at scale |
Z-Image Turbo LoRA takes image, text as input and returns image.
Z-Image Turbo LoRA is priced at $0.01105 / MP (variable).
Z-Image Turbo LoRA is billed per generation — a fixed charge per output rather than by prompt length.
Yes, Z-Image Turbo LoRA accepts image input as well as a text prompt.
Z-Image Turbo LoRA was built by Alibaba Cloud.
Send a request to https://api.aimlapi.com/v1/images/generations with z-image/turbo/lora as the model id.
Yes. Z-Image Turbo LoRA is served through AI/ML API, so the same key and endpoint format used for other models applies.
It extends Z-Image Turbo with LoRA adapters that enable custom style and subject fine-tuning.
