mj_custom_zoomCompare mj_custom_zoom API pricing, supported endpoints, capabilities and access options on Modelsell.
BPE (vendor-specific)Scores on standardized evaluations. Higher percentages are better — and rank percentile shows
Metrics sourced fromArtificial Analysis 2026-09-30·Mj Custom Zoom
This model is not included in the current benchmark snapshot.
Missing models or measurements are not zero scores.
Benchmark charts preserve the source model selection and reasoning settings. Missing models or measurements are not zero scores, and benchmark cost or speed is not this site’s service commitment.
Custom Zoom 从已经生成的 Midjourney 图片继续创作,让主体在画面中占得更小,并在四周补出环境。它适合把人物特写扩成带场景的海报,把产品近景放进陈列空间,或为标题、字幕留出位置。选择自定义缩放时,可以同时调整提示词,说明新增区域应该出现什么。
缩放幅度通常在 1.0–2.0 之间。数值越大,原画在新构图中的占比越小;这是一种向外扩图效果,不会因此提高成品的像素尺寸。只想改变画幅比例时,可使用 1.0 的缩放值并调整宽高比。
这项操作依赖已完成图片和对应的 Custom Zoom 动作。提交时需要关联源任务,并使用其返回的动作信息;单独发送一段文字无法确定要扩展哪张图。
扩图后比较原有主体与新增环境的光线、透视和材质。人物周围的边缘、重复的物体与新增文字尤其需要仔细查看;选择衔接自然的结果,再加入正式标题与排版。
先从已完成的 Midjourney 任务中选定图片,确认有 Custom Zoom 动作,再提交源任务信息、缩放值和扩展后的提示词。
例如已有一张书店人物近景,可设缩放 1.5,补充:
暖色灯光的独立书店,人物位于画面偏右,周围增加书架和木质桌面,左侧留出干净的标题空间。
等待新任务完成后,检查留白、光线与边缘连接。如果仅需把竖图调整成横幅,可先试缩放 1.0 并设置目标宽高比;需要更高清的成品时,另行选择合适的放大操作。
Use the linked documentation for model-specific request parameters and examples.
All requests must include Authorization: Bearer <TOKEN> header. Anthropic-formatted endpoints accept the x-api-key header instead.
Generate tokens from the Tokens page; you can scope them to specific models, groups, IPs, and rate-limits.
| Supplier | RPM | TPM | RPD |
|---|---|---|---|
| 标准按次 | Unlimited | Unlimited | Unlimited |
No restriction
Compare mj_custom_zoom API pricing, supported endpoints, capabilities and access options on Modelsell.
Create an API key with access to mj_custom_zoom, then use the exact model ID and a supported endpoint from the API access section. Request fields depend on the selected endpoint.
Pricing depends on the selected provider group and the model billing unit. The current input, output, request, or media prices are shown on this page before sign-up.
Start with the use cases and prompting guidance on this page, then evaluate the model with representative inputs from your project.
