mj_variationCompare mj_variation 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 Variation
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.
当图片已经接近想要的方向,Variation 可以用它作为起点继续生成新版本。你不必从空白重新描述整个画面,便能比较不同的细节与布局。它适合角色概念、游戏场景、活动主视觉等创意筛选,也适合在初稿中挑出最有潜力的一张继续深化。
变体有不同程度的变化。Subtle 着重于较小的细节调整,适合已经满意整体效果、只想再找更合适局部的情况;Strong 保留主要主题,同时更明显地改变视觉呈现,适合继续打开思路。使用四宫格的 V1–V4 时,变化方式还会受到任务采用的变体设置影响。
变体会重新生成画面,不能保证每处细节都固定。若你只想更改某一小块而保留其他区域,应选择支持区域编辑的流程。需要连续保留角色或产品外观时,也应配合相应参考条件,并逐张检查一致性。
在支持 Remix 的流程中,可以在做变体时调整提示词,例如把傍晚的场景改成清晨。一次只改一个主要条件,更容易看清变化来自哪里;若主题和构图都想重做,重新生成通常更便于表达完整的新需求。
从已完成任务里选出最接近目标的图片,使用该图对应的 V/Variation 动作,并保留源任务 ID 与图片编号。
例如一组“雨夜书店门口”的概念图中,第一张的构图最好,可先用较轻的变体寻找更自然的招牌光和路面倒影;若想探索更戏剧化的空间和视角,再使用较强的变体。
只有在支持 Remix 的操作中才提交修改后的描述。生成后把新图与原图并排比较,关注主体位置、光线及关键道具,再从满意结果继续,而不是一轮轮无差别延伸。
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_variation API pricing, supported endpoints, capabilities and access options on Modelsell.
Create an API key with access to mj_variation, 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.
