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2026年9月国产AI生图工具怎么选:即梦、通义万相、可灵、豆包横评

Published Sep 26, 2026
2026年9月国产AI生图工具怎么选:即梦、通义万相、可灵、豆包横评

If you haven’t opened an AI image generation tool in the past six months, the interface now will look unfamiliar enough to make you pause. Chinese tools have been updating extremely fast this round: Jimeng has switched to a new model, Tongyi Wanxiang has suddenly become competitive at text rendering, and Kling received additional investment from the National AI Industry Investment Fund. The old answer of “just download one and use it” now needs to be recalculated.

I recently ran through several mainstream Chinese tools one by one. Below are my actual impressions, without filters.

What each of the four tools is about

Jimeng (ByteDance) takes an all-around approach. It covers text-to-image, image-to-image, and AI video, and its Chinese language understanding is its most reliable area. The Seedream model series has been updated to a fairly advanced version, producing solid results for people and scenes. One advantage: it integrates with CapCut, so many people making short-video covers generate the image in Jimeng and edit in CapCut, completing the whole pipeline in one flow.

Tongyi Wanxiang (Alibaba) has changed the most over the past two years. In its early days it was just “a tool that could produce images.” Now text rendering has become its signature feature: it supports multilingual rendering for over 4,000 characters, can precisely control Hex color values, and can use up to 9 reference images to keep the subject consistent. People making e-commerce images and posters will like this, because “the text on the image must be correct” is a hard requirement—and that is exactly the weak spot of many models.

Kling AI (Kuaishou)’s strength is image quality. It handles light and shadow, details, and texture quite delicately. In August 2026 it completed an additional round of investment from the National AI Industry Investment Fund, so it has resources. It does both images and videos, so if you later want to turn a single image into a video, its workflow is smooth.

Doubao (ByteDance) is for people who don’t want to learn anything. You don’t need to write prompts; just say “draw me a…” and it works. It sacrifices fine-grained control in exchange for zero barrier to entry.

There is also one you can’t ignore: LiblibAI. It isn’t a single model but a model marketplace with over 100,000 community models available. If you want Chinese anime, photorealism, 3D, pixel art, you can choose yourself. It suits people willing to spend some time exploring art styles.

Match the tool to your needs

Your situation Recommendation
Complete beginner, just testing the waters Doubao
Need reliable image generation for long-term use Jimeng
Want a specific art style LiblibAI
Making cover images and care about image quality Kling
Chinese-language scenes, e-commerce images, posters Tongyi Wanxiang

This table isn’t based on gut feeling. The actual division of labor among these tools is like this: Doubao solves the question of “can you use it at all,” Jimeng solves “can it produce what you want,” Tongyi Wanxiang solves “is the text on the image correct,” and Kling solves “is the texture good enough.”

About prompts: don’t be intimidated by what you see online

Many people get stuck on prompts, thinking they need to memorize a bunch of English tags. You don’t. Chinese tools now understand Chinese prompts quite well. You just need to clearly state five things: what the subject is, what it looks like, what scene it’s in, what lighting, and what art style.

For example, instead of writing “pretty girl on a mountain, healing dusk,” break it down: “young woman, light beige long dress, jet-black long hair, standing on a hillside meadow, distant mountains, orange dusk glow, soft backlight, Chinese-style illustration, high detail.” The difference in results is obvious.

One habit worth developing: every time you get a satisfactory image, write down the prompt and parameters. I know someone in marketing who has accumulated over 400 lines of notes this way. When taking on Xiaohongshu cover projects, they just flip through the notes and get back up to speed—more reliable than memory.

Illustration comparing various AI image generation styles and tools

When should you consider local deployment

After using web tools for a while, you’ll hit a ceiling: control isn’t fine-grained enough. When you want to precisely pose a character, change clothing, or lock down a character’s face, web tools won’t be enough. That’s when local deployment—the Stable Diffusion and Flux path—comes in.

Don’t rush into local deployment right away. Its barrier isn’t software but hardware: 8 GB of VRAM is the starting line, and 12 GB or more is comfortable. It also requires some configuration skills and a willingness to spend time tuning workflows—completely different from “open a webpage, type a sentence, and get an image.”

My advice is to first push web tools to the point where you can reliably produce commercially usable images, then consider upgrading. Otherwise it’s easy to fall into the trap of “spending more time fiddling with the environment than actually drawing.” Among advanced tools, ControlNet can control poses, LoRA can fix characters, and image-to-image can modify local areas. These are things web tools can’t do, but they’re for people who already know how to walk, not an appetizer for beginners.

Three things to pay attention to when choosing

The first is copyright ownership. Tongyi Wanxiang runs on Alibaba Cloud, and the copyright of generated content belongs to the user, which is a plus for anyone planning commercial use. Jimeng has also registered copyrights for related artworks. If you plan to make money from generated images elsewhere, check the platform’s licensing terms first.

The second is free quota. Most tools use a “daily login gives you quota” model. It’s enough for trying things out but not for production. If you’re serious, subscription or pay-as-you-go is the norm.

The third is don’t obsess over “the best.” Many people online ask “which AI image generator is strongest,” but the question itself is meaningless. Use a photorealistic model to draw anime and the style will collapse; use an anime model to draw product images and the texture will look fake. First figure out what you want to draw, then choose the tool.

Chinese tools are improving faster than many people realize. In Chinese language understanding, localized styles, and e-commerce scenes, they are already no worse than overseas tools. What you need to do is not agonize over “which one is the optimal choice,” but open one and make your first image.

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