AI_ModelScopeT2I
Z-Image-Turbo and friends, generated over the API
- 图像
- 图片链接
- status
This is the straightforward text-to-image node of the ModelScope group - no reference images, no editing, just a prompt in and a picture out, hosted on Alibaba's ModelScope inference API. The default model is telling: Tongyi-MAI/Z-Image-Turbo, which is one of the more genuinely impressive open releases of the last year - a 6B model that runs comfortably on a 12GB card, roughly 30 seconds per image, uncensored, Apache 2.0, and quick enough on release that a chunk of the community started calling it "SDXL's successor" once the trainable Base variant landed. If you already run Z-Image locally, this node buys you nothing over your own GPU - but if you don't have local VRAM to spare, it's the same model as a paid-per-call API instead. The other two dropdown options are Qwen/Qwen-Image-2512 and MoYouuu/MYHuman-QWEN, a community fine-tune.
Required fields, all with the Chinese labels this pack's ModelScope nodes ship with: 预设模型 (preset model), 提示词 (prompt - the field ships with the author's own placeholder default, "a cute girl in festive chinese new year clothing," which you'll obviously want to replace), 图像宽度/图像高度 (width/height, 64–8192 in steps of 64, default 1024×1024), 张数 (image count, 1–4), 超时时间 (timeout, 1–900 seconds, default 300), seed, MODELSCOPE_API_TOKEN, and 自定义模型 (custom model override). No optional image inputs at all - this node is pure T2I, which is also how you can tell it apart from AI_ModelScope_image (which despite its similar name is actually an image-understanding chat node, not a generator). Outputs: 图像 (the generated IMAGE), 图片链接 (a direct URL to the result), and status.
Because Z-Image-Turbo is small and fast by design, this is one of the more forgiving nodes in the AI-tool set to experiment with - you're not waiting on a 20B+ parameter model, so 超时时间's generous 300s default should rarely get exercised at the Turbo default, though the larger Qwen-Image-2512 option will eat more of that budget.
Installing it: ComfyUI Manager, search "ComfyUI-Apt_Preset," or clone by hand - cd ComfyUI/custom_nodes && git clone https://github.com/cardenluo/ComfyUI-Apt_Preset - then install.bat and restart.
Getting a token: register at modelscope.cn and generate an API token in your profile. ModelScope's free quota is genuinely usable for testing this node without committing to a paid plan first.
Troubleshooting: an empty result or an auth error traces back to MODELSCOPE_API_TOKEN nine times out of ten - confirm it's current and pasted cleanly. If you're getting worse results than you'd expect from Z-Image's reputation, remember its known gaps are real and not a sign something's misconfigured: weaker adherence to very complex, multi-clause prompts than Flux 2, a persistent bias toward Asian faces in ambiguous prompts, and roughly a 2-megapixel native ceiling - pushing 图像宽度/图像高度 well past that ceiling is more likely to degrade quality than improve it, so if you need genuinely higher resolution, generate at the native size and upscale afterward instead.
Inputs (9)
| Name | Type | Default | Description |
|---|---|---|---|
| 预设模型 | COMBO | Tongyi-MAI/Z-Image-Turbo | 4 options: None, Tongyi-MAI/Z-Image-Turbo, Qwen/Qwen-Image-2512, MoYouuu/MYHuman-QWEN |
| 提示词 | STRING | a cute girl in festive chinese new year clothing | — |
| 图像宽度 | INT | 102464–8192 | — |
| 图像高度 | INT | 102464–8192 | — |
| 张数 | INT | 11–4 | — |
| 超时时间 | INT | 3001–900 | — |
| seed | INT | 00–2147483647 | — |
| MODELSCOPE_API_TOKEN | STRING | — | |
| 自定义模型 | STRING | — |
Outputs (3)
| Name | Type | Description |
|---|---|---|
| 图像 | IMAGE | — |
| 图片链接 | STRING | — |
| status | STRING | — |