Z-Image 的功能亮点
汇总该提供方主要模型系列中的共性优势。
Z-Image Turbo
Text-To-Image Generation
When no input image is provided, the connector calls fal-ai/z-image/turbo. The model is designed for very fast prompt-driven image generation and defaults to a landscape_4_3 image size on fal.
Z-Image Turbo
Image-To-Image Generation
When image_url is provided, the connector calls fal-ai/z-image/turbo/image-to-image. This mode adds image_url as a required upstream parameter and supports strength to control how strongly the input image conditions the output.
Z-Image Turbo
Compact Sampling Controls
Z-Image Turbo is optimized for a short sampling path. The fal schema supports num_inference_steps from 1 to 8, plus an optional seed for reproducible outputs with the same prompt and model version.
Z-Image Turbo
Size And Batch Options
The text endpoint supports the standard fal image-size presets, while image-to-image also supports auto sizing. Both endpoints expose num_images with a 1 to 4 range.
如何在 skills.video 中使用 Z-Image
01
选择一个 Z-Image 模型
先挑选最适合你工作流的模型系列,再进入对应的模型详情页。
02
查看示例与功能
在生成前先检查每个模型的示例、控制项和功能细节。
03
开始创作
选好模型后,直接进入图片或视频生成流程。
图片模型
对比 Z-Image 的图片模型,适用于文生图与图像编辑工作流。
常见问题
关于 Z-Image 模型和工作流的常见问题。