Z-Image Turbo: ControlNet Image-to-Image AI

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fal-ai/z-image/turbo/controlnet/lora

Generate images from text and edge, depth or pose images using custom LoRA and Z-Image Turbo, Tongyi-MAI's super-fast 6B model.

Inference

Commercial use

Schema

LLMs

Playground API

Input

Prompt*

Image URL*

Hint: Drag and drop image files from your computer, images from web pages, paste from clipboard (Ctrl/Cmd+V), or provide a URL. Accepted file types: jpg, jpeg, png, webp, gif, avif

Control Scale

Control Start

Control End

Preprocess

Loras

Additional Settings

Customize your input with more control.

Result

Idle

What would you like to do next?

Download

{
  "images": [
    {
      "height": 1024,
      "content_type": "image/png",
      "url": "https://storage.googleapis.com/falserverless/example_outputs/z-image-turbo-controlnet-output.jpg",
      "width": 1536
    }
  ],
  "prompt": ""
}

Your request will cost $0.01 per megapixel.

Logs

Z-Image Turbo | [image-to-image]

Tongyi-MAI's Z-Image Turbo delivers controlled image-to-image generation at $0.01 per megapixel through a 6-billion parameter architecture. Trading raw size for inference speed, this model processes edge, depth, and pose-guided transformations in seconds while supporting up to 3 custom LoRA weights simultaneously. Built for developers who need predictable costs and sub-10-second iterations on reference-based image workflows.

Built for: Style Transfer Pipelines | Pose-Guided Character Design | Depth-Aware Scene Editing

Performance That Scales

At $0.01 per megapixel, Z-Image Turbo runs 4-10x more cost-effectively than full-scale diffusion models while maintaining controllable output through structured conditioning inputs.

Metric	Result	Context
Inference Steps	1-8 steps	Default 8 steps; reduce to 4-6 for draft iterations
Inference Speed	Sub-10 seconds	6B parameter model optimized for turbo inference
Cost per Megapixel	$0.01	100 generations per $1.00 at 1MP resolution
Max Resolution	Auto-scaling	Dynamically adjusts to input image dimensions
Related Endpoints	Image-to-Image, Image-to-Image LoRA	Standard variants without ControlNet preprocessing

Controlled Generation Without the Complexity

Z-Image Turbo combines ControlNet conditioning with LoRA customization in a single inference call, eliminating the multi-stage pipelines typical of traditional image-to-image workflows. Rather than chaining separate models for preprocessing, style application, and refinement, you feed a reference image and select from four conditioning modes: canny edge, depth mapping, pose detection, or none, with control strength adjustable across the inference timeline.

What this means for you:

Preprocessing built-in: Apply canny, depth, or pose extraction automatically via the `preprocess` parameter, no separate detection models required
Timeline control: Adjust `control_start` and `control_end` (0.0-1.0 range) to determine when ControlNet guidance activates during the 1-8 step generation process
Multi-LoRA stacking: Load up to 3 custom LoRA weights per request with individual scale controls, enabling compound style effects without model switching
4-image batch generation: Process 1-4 variations simultaneously at the same per-megapixel rate, ideal for A/B testing prompt variations

Technical Specifications

Spec	Details
Architecture	Z-Image Turbo
Input Formats	Image URL (jpg, jpeg, png, webp, gif, avif) + text prompt
Output Formats	JPEG, PNG, WebP
ControlNet Modes	None, Canny Edge, Depth Map, Pose Detection
License	Commercial use permitted

API Documentation | Quickstart Guide | Pricing

How It Stacks Up

Z-Image Turbo Image-to-Image ($0.01/MP) – Z-Image Turbo ControlNet LoRA adds preprocessing automation and multi-LoRA support at identical pricing, trading simplicity for advanced control workflows. The standard image-to-image endpoint remains ideal for straightforward style transfers where manual preprocessing is acceptable.

FASHN Virtual Try-On V1.5 – Z-Image Turbo ControlNet LoRA provides general-purpose image transformation with pose and depth control for diverse creative workflows. FASHN specializes in garment-to-model fitting with body-aware warping for e-commerce product visualization.

Z-Image Turbo Image to Image