new.ip233.com｜GPT-Image-2 生图

OpenAI's GPT-Image-2 has no open weights - there is no local checkpoint to download, no VRAM path, period. The only door is an API, and this node is a door. It calls gpt-image-2 through new.ip233.com, a Chinese relay/reseller for the model (the pack calls it a 中转站, literally "transfer station"), does the async polling for you, and drops finished images back into your graph as a normal IMAGE tensor. You feed it a prompt and a key, it gives you pictures.

It ships in ComfyUI-Tikpan-Pro, the official plugin for Tikpan.com. Note the two-key gotcha: the Tikpan nodes use a key from tikpan.com, but every node in the "new.ip233.com" group - this one included - needs a separate sk- key from https://new.ip233.com. Grab it there, not from Tikpan.

How it works

The node POSTs to https://new.ip233.com/v1/images/generations with your key in the Authorization: Bearer header, async: true, a seed, and the aspect ratio as the size. The relay responds with a task reference, which the node then polls (every 查询间隔秒数 seconds, up to 最长等待秒数) until the images are ready, then converts them to a tensor. It even writes a small recovery record with an idempotency key so a half-failed call leaves a trace instead of vanishing.

The inputs that matter

• API_密钥 - your sk- key from new.ip233.com. The placeholder is rejected ("请填写有效的 new.ip233.com API 密钥").
• 生成指令 - the prompt. The default is a Chinese aurora/glacier scene, but the node takes English fine.
• 画面比例 - 1:1, 3:2, 2:3, or auto. Note this is not the free-form size you get from a local sampler - the relay only opens these four.
• 生成张数 - 1 to 10 per call.
• 随机种子 - default 888888; set it to reproduce a result.

The fiddly ones live in optional: 校验HTTPS证书 is off by default (the node disables TLS verification to dodge cert issues on the relay - turn it on if you're paranoid), and 跳过错误 makes the node return a black image instead of raising when the API errors, so a flaky relay can't kill a long workflow.

Outputs

• 🖼️_生成结果图 - an IMAGE batch, one frame per generated image, ready for Save Image.
• 📄_渲染日志 - a STRING log with endpoint, ratio, count, seed, and timing.

Install

Standard pack install:

cd ComfyUI/custom_nodes
git clone https://github.com/htrert/ComfyUI-Tikpan-Pro

or ComfyUI Manager → search Tikpan → Install → restart. No extra dependencies; the node uses stock requests, torch, and numpy.

Gotchas

Three things bite people. First, TLS verification is off by default - fine for most users, but if your network is picky you may want 校验HTTPS证书 on. Second, this is a reseller, not OpenAI: cost, rate limits, and moderation all come from the relay, and the same "you can't abliterate a closed model" rule applies - whatever GPT-Image refuses, you get refused. And third, the pack has essentially zero r/comfyui footprint, so it's an unknown quantity: test with the 1:1 default and a single image before you spend tokens on a 10-image run. The per-call metering is the standing trade for calling a model that was never downloadable.