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Z Image Turbo Image to Image LoRA: Fast Photoreal Image Transformation on Playground and API | RunComfy

tongyi-mai/z-image/turbo/image-to-image/lora

Transform images into high-fidelity visuals with lightning-fast 8-step Turbo inference, adaptive LoRA style control, bilingual text rendering, and real-time photorealistic output efficiently.

URL of the input image for Image-to-Image generation.
LoRAs 1
URL, HuggingFace repo ID (owner/repo) to lora weights.
Scale of the LoRA model.
List of LoRAs to apply (maximum 3).
The strength of the image-to-image conditioning.
Specifies the size of the generated image. Choose a preset or use Custom to enter width and height.
The number of inference steps to perform.
Whether to enable prompt expansion. Note: this will increase the price by 0.0025 credits per request.
The format of the generated image.

Introduction to Z Image Turbo Image to Image LoRA

Z Image Turbo Image to Image LoRA image-to-image empowers you to transform existing visuals or create new ones instantly. Ideal for designers, marketers, and developers, its LoRA integration adapts characters, styles, and brand identities effortlessly while maintaining clarity and color precision. You gain immediate, high-resolution outputs tailored for real-time content creation and visual iteration.

Examples of Z Image Turbo Image to Image LoRA

Z Image Turbo Image to Image LoRA on X

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Frequently Asked Questions

What is Z Image Turbo Image to Image Lora and what is it used for?

Z Image Turbo Image to Image Lora is a version of Alibaba’s Z-Image Turbo model, designed for ultra-fast text-to-image and image-to-image generation. It allows creators to transform or refine existing images with custom LoRA adapters, making it a powerful tool for visual storytelling and brand identity development.

How does Z Image Turbo Image to Image Lora handle image-to-image workflows?

Z Image Turbo Image to Image Lora supports image-to-image generation by taking an input image and reinterpreting it under new styles or aesthetics defined by LoRA adapters. This enables users to remix artworks or tweak visuals while preserving the original structure and key details.

Is Z Image Turbo Image to Image Lora free to use, or does it require credits?

Access to Z Image Turbo Image to Image Lora requires account login on the Runcomfy AI playground and consumes credits per generation. New users receive trial credits to try out text-to-image and image-to-image functionalities before committing to paid usage.

What are the key features that make Z Image Turbo Image to Image Lora stand out?

Z Image Turbo Image to Image Lora offers 6 billion parameters, 8-step ultra-fast sampling, bilingual text rendering, support for multiple LoRA adapters, and flexible resolution outputs. Its speed and photorealistic image-to-image generation capabilities make it ideal for real-time creative workflows.

Who should use Z Image Turbo Image to Image Lora?

Z Image Turbo Image to Image Lora is designed for content creators, advertisers, e-commerce designers, and developers needing fast image-to-image generation. It’s also suited for researchers exploring efficient diffusion models and artists experimenting with character or style transfer.

How does Z Image Turbo Image to Image Lora differ from earlier versions or competitors?

Unlike previous Z-Image models or typical diffusion systems, Z Image Turbo Image to Image Lora uses distillation to reduce inference steps from 20–50 to just 8, maintaining image quality while achieving sub-second generation. This balance of speed and visual fidelity enhances both text-to-image and image-to-image results.

What are the quality expectations for results from Z Image Turbo Image to Image Lora?

Users can expect consistently high-quality, photorealistic images from Z Image Turbo Image to Image Lora. The model stabilizes composition and perspective even in complex text or image-to-image tasks, though stacking multiple LoRAs may slightly reduce quality due to enhanced fine-tuning layers.

Which platforms support Z Image Turbo Image to Image Lora?

Z Image Turbo Image to Image Lora is currently available through Runcomfy’s AI playground website, accessible via desktop and mobile browsers. Users log in, spend credits per generation, and can leverage bilingual and image-to-image functions directly in-browser without needing server setup.

Are there any limitations when using Z Image Turbo Image to Image Lora?

While Z Image Turbo Image to Image Lora is highly optimized, users should note that stacking more than three LoRA adapters may degrade the output quality. Additionally, higher resolutions during image-to-image generation require more VRAM, ideally on GPUs with at least 16 GB memory.