今天，Z-Image-Turbo——阿里巴巴通义的最新轻量级6B参数文本到Image模型——现已在SiliconFlow上可用。通过系统优化和单流扩散变压器架构，它提供逼真的Image生成和双语Text渲染，达到与领先商业模型相媲美的水平，证明顶级性能不需要大规模模型。
无论您是在构建创意工具、营销素材，还是视觉AI应用程序，Z-Image-Turbo都提供速度和精度，助力您的工作流程更上一层楼。
通过SiliconFlow的Z-Image-Turbo API，您可以期待：
经济实惠的定价：Z-Image-Turbo只需$0.005/Image。
极端效率：作为一种蒸馏模型，它仅需8步即可提供顶级性能，媲美甚至超越领先竞争对手。
逼真和双语：擅长逼真Image生成和准确的英汉Text呈现，具有对复杂指令的强大遵从性。
顶尖表现：由单流扩散变压器架构驱动，在阿里巴巴AI竞技场（基于Elo的评估）中实现开源模型中的最新结果。
关键能力和实际性能
不同于依赖大规模参数以确保质量或在特定文化细微差异中苦苦挣扎的传统基础模型，Z-Image重新定义效率，旨在支持：
高效的逼真质量
Z-Image-Turbo擅长生成具有摄影级逼真度的图像，精细控制细节、光影和纹理。在结构和整体氛围上，实现了高保真与美学质量的平衡。
如下面的例子所示，该模型准确处理复杂的视觉现象——从冰块中折射的复杂光线，到栩栩如生的人物特征，再到丝绸面料微妙的光泽和流动的褶皱。
所有Image都是在SiliconFlow平台上使用Z-Image-Turbo生成的
出色的双语Text渲染
它还能在保持面部逼真和整体美学构图的同时准确渲染英汉Text，结果可与顶级闭源模型相媲美。在海报设计中表现出强大的构图技巧和优良的字体感知。它能够在小字体等具有挑战性的场景中呈现高质量Text，提供在文本精确性和视觉吸引力之间的设计。
正如在SiliconFlow平台上用Z-Image-Turbo生成的海报中所示，该模型以令人印象深刻的清晰度和风格呈现Text，布局结合了精确的排版与强烈的艺术美感在社论、真实以及卡通风格的设计中。
丰富的世界知识和文化理解
Z-Image具有广泛的世界知识和多样化的文化概念理解。这使得它能够准确生成各种主题，包括著名地标、知名角色和特定的真实物体。
如我们例子所示，该模型准确捕捉诸如威尼斯狂欢节的服装和氛围、威尼斯贡多拉等标志性物体，以及埃菲尔铁塔等世界著名地标——所有这些都体现了令人印象深刻的准确性和风格上的逼真性。
立即开始使用
探索：在Z-Image的SiliconFlow模型广场中尝试。
集成：使用我们的OpenAI兼容API。请在SiliconFlow API文档中查看完整API规范。
import requests
url = "https://api.siliconflow.com/v1/images/generations"
payload = {
"model": "Tongyi-MAI/Z-Image-Turbo",
"prompt": "A small, adorable green frog with big round eyes gently swims through the clear blue ocean water. Sunlight beams down from above, creating shimmering ripples on the frog’s skin and the sandy ocean floor. The frog paddles its tiny legs gracefully, leaving soft trails of bubbles behind. Colorful tropical fish and coral reefs surround it, adding a vibrant and lively atmosphere. The overall style is bright, whimsical, and cinematic, with smooth, fluid motion and a playful, heartwarming mood.",
"image_size": "1024x1024",
"seed": 1,
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)import requests
url = "https://api.siliconflow.com/v1/images/generations"
payload = {
"model": "Tongyi-MAI/Z-Image-Turbo",
"prompt": "A small, adorable green frog with big round eyes gently swims through the clear blue ocean water. Sunlight beams down from above, creating shimmering ripples on the frog’s skin and the sandy ocean floor. The frog paddles its tiny legs gracefully, leaving soft trails of bubbles behind. Colorful tropical fish and coral reefs surround it, adding a vibrant and lively atmosphere. The overall style is bright, whimsical, and cinematic, with smooth, fluid motion and a playful, heartwarming mood.",
"image_size": "1024x1024",
"seed": 1,
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)import requests
url = "https://api.siliconflow.com/v1/images/generations"
payload = {
"model": "Tongyi-MAI/Z-Image-Turbo",
"prompt": "A small, adorable green frog with big round eyes gently swims through the clear blue ocean water. Sunlight beams down from above, creating shimmering ripples on the frog’s skin and the sandy ocean floor. The frog paddles its tiny legs gracefully, leaving soft trails of bubbles behind. Colorful tropical fish and coral reefs surround it, adding a vibrant and lively atmosphere. The overall style is bright, whimsical, and cinematic, with smooth, fluid motion and a playful, heartwarming mood.",
"image_size": "1024x1024",
"seed": 1,
}
headers = {
"Authorization": "Bearer <token>",
"Content-Type": "application/json"
}
response = requests.post(url, json=payload, headers=headers)
print(response.text)
