MODEL PROFILE · 模型档案

qwen-image-edit-multiple-angles-GGUF

ChrisColeTech · qwen-image-edit-multiple-angles-GGUF

A pre-merged, quantized build of **Qwen-Image-Edit-2509** with two fine-tunes baked into the weights: Prompt: A giant full-body teddy bear wearing a plain white t-shirt. Print the exact logo from the input image onto the front of the t-shirt, large and clearly visible. Soft studio lighting, clean light-gray background, full-body shot, cute and detailed. Prompt: Show this exact teddy bear in one image as three separate full-body views in a row, evenly spaced: front view facing the camera, left side view, and back view facing away from the camera. In every view the head faces the same direction as the body — in the back view the head is also turned away from the camera and the face is completely hidden. Keep the character design, white t-shirt with the Qwen logo, lighting style, and light gray background perfectly consistent across all three views.

译文排队中,当前展示来源原文。

图像编辑license:apache-2.0
上下文窗口来源未披露
输入 → 输出图像 → 图像
模型权重待核验
档案更新时间2026/11/2 19:16:22
OVERVIEW

模型介绍

A pre-merged, quantized build of **Qwen-Image-Edit-2509** with two fine-tunes baked into the weights: Prompt: A giant full-body teddy bear wearing a plain white t-shirt. Print the exact logo from the input image onto the front of the t-shirt, large and clearly visible. Soft studio lighting, clean light-gray background, full-body shot, cute and detailed. Prompt: Show this exact teddy bear in one image as three separate full-body views in a row, evenly spaced: front view facing the camera, left side view, and back view facing away from the camera. In every view the head faces the same direction as the body — in the back view the head is also turned away from the camera and the face is completely hidden. Keep the character design, white t-shirt with the Qwen logo, lighting style, and light gray background perfectly consistent across all three views.

主要特点

特点摘要待依据来源补齐,不凭模型名称推断能力。

局限与注意事项

暂无足够来源支持具体缺点结论。请重点验证实际任务表现、时延、数据政策、许可与版本生命周期。

PRICING & COST

来源报价与费用分析

同一模型在不同渠道、地区和配置下可能采用不同价格。下表独立保留各渠道报价,不将渠道价格视为厂商官方统一价格。

来源 / 渠道输入输出计费单位采集时间
暂未取得可核验报价,请查阅来源渠道。

按月估算基础 Token 费用

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预估不包含缓存优惠、阶梯定价、多模态附加费用、网络检索、税费及推理额外输出。

INDEPENDENT BENCHMARKS

公开评测与运行配置

暂无已采集的可核验公开评分。模型未上榜不代表能力较低。

查看完整已收录榜单 →

常见问题

开放权重是否代表可以免费商用?

不一定。应核对具体版本许可证、商用门槛和使用政策。自部署还会产生算力和维护成本。

这些价格是实时结算价格吗?

不是实时结算价格,而是带采集时间的来源报价快照。请到对应渠道核对当前版本、区域、折扣和计费方式。

资料来源与可追溯记录

许可证:apache-2.0。模型介绍与第三方评测均以原来源的具体版本和方法为准。