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Flux-2-pro_t2i_human_preference

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魔搭社区2025-12-05 更新2025-12-06 收录
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https://modelscope.cn/datasets/Rapidata/Flux-2-pro_t2i_human_preference
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<style> .vertical-container { display: flex; flex-direction: column; gap: 60px; } .horizontal-container { display: flex; flex-direction: row; justify-content: center; gap: 60px; } .image-container img { max-height: 250px; /* Set the desired height */ margin:0; object-fit: contain; /* Ensures the aspect ratio is maintained */ width: auto; /* Adjust width automatically based on height */ box-sizing: content-box; } .image-container img.big { max-height: 350px; /* Set the desired height */ } .image-container { display: flex; /* Aligns images side by side */ justify-content: space-around; /* Space them evenly */ align-items: center; /* Align them vertically */ gap: .5rem } .container { width: 90%; margin: 0 auto; } .text-center { text-align: center; } .score-amount { margin: 0; margin-top: 10px; } .score-percentage {Score: font-size: 12px; font-weight: semi-bold; } .link-container { padding: 10px; text-align: center; border: 1px solid #000000; border-radius: .25rem; } .image{ margin:0 auto; } </style> # Rapidata Flux 2 Pro Preference <a href="https://www.rapidata.ai"> <img src="https://cdn-uploads.huggingface.co/production/uploads/66f5624c42b853e73e0738eb/jfxR79bOztqaC6_yNNnGU.jpeg" width="400" alt="Dataset visualization"> </a> This T2I dataset contains over ~400'000 human responses from over ~50'000 individual annotators, collected in less than 7h using the [Rapidata Python API](https://docs.rapidata.ai), accessible to anyone and ideal for large scale evaluation. Evaluating Flux 2 Pro (version from 25.11.25) across three categories: preference, coherence, and alignment. Explore our latest model rankings on our [website](https://www.rapidata.ai/benchmark). If you get value from this dataset and would like to see more in the future, please consider liking it ❤️ To add your own model to the benchmark send us an e-mail at: jason@rapidata.ai ## Overview The evaluation consists of 1v1 comparisons between Flux 2 Pro (version from 24.7.2025) and 18 other models: - 4o - Flux-1-pro - Flux-1.1-pro - imagen 4 ultra - Aurora - Imagen-3 - DALL-E 3 - Midjourney-5.2 - Frames-23-1-25 - Stable Diffusion 3 - Janus-7b. - hidream-l1-full - Recraft V2 - Ideogram V2 - halfmoon-4-4-25 - Lumina-15-2-25 - Imagen 4 Ultra 20.5.25 - Imagen 4 Ultra 24.7.25 - Recraft v3 - Hunyuan Image 2.1 ## Alignment The alignment score quantifies how well an video matches its prompt. Users were asked: "Which image matches the description better?". <div class="vertical-container"> <div class="container"> <div class="text-center"> <q>The cracked rectangle was leaning against the glossy cylinder and the peeling triangle.</q> </div> <div class="image-container"> <div> <h3 class="score-amount">Flux 2 Pro </h3> <div class="score-percentage">Score: 100%</div> <img style="border: 5px solid #18c54f;" src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/vo7NdtZ6V1x0hVD_piOle.jpeg" width=500> </div> <div> <h3 class="score-amount">Seedream 3 </h3> <div class="score-percentage">Score: 0%</div> <img src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/psHazJXGQ6IN1rOakPZDO.jpeg" width=500> </div> </div> </div> <div class="container"> <div class="text-center"> <q>The square coaster was next to the circular glass.</q> </div> <div class="image-container"> <div> <h3 class="score-amount">Flux 2 Pro </h3> <div class="score-percentage">Score: 0%</div> <img src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/I5kI3eurHZSqWRZay-su0.jpeg" width=500> </div> <div> <h3 class="score-amount">4o </h3> <div class="score-percentage">Score: 100%</div> <img style="border: 5px solid #18c54f;" src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/Fj8QL93Nokm_LgJoAtlSk.jpeg" width=500> </div> </div> </div> </div> ## Coherence The coherence score measures whether the generated video is logically consistent and free from artifacts or visual glitches. Without seeing the original prompt, users were asked: "Which image has **more** glitches and is **more** likely to be AI generated?" <div class="vertical-container"> <div class="container"> <div class="image-container"> <div> <h3 class="score-amount">Flux 2 Pro </h3> <div class="score-percentage">Glitch Rating: 0%</div> <img style="border: 5px solid #18c54f;" src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/cdR8kXoWeJOFhwsJSE8-8.jpeg" width=500> </div> <div> <h3 class="score-amount">Flux 1 Pro </h3> <div class="score-percentage">Glitch Rating: 100%</div> <img src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/QvFsh1iMX6sBBc_xox_gG.jpeg" width=500> </div> </div> </div> <div class="container"> <div class="image-container"> <div> <h3 class="score-amount">Flux 2 Pro </h3> <div class="score-percentage">Glitch Rating: 100%</div> <img src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/5kvf9hSGUApakuMaTMTwu.jpeg" width=500> </div> <div> <h3 class="score-amount">Halfmoon 4 </h3> <div class="score-percentage">Glitch Rating: 0%</div> <img style="border: 5px solid #18c54f;" src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/WzoqlDL-SDBYTTwOR1bAF.jpeg" width=500> </div> </div> </div> </div> ## Preference The preference score reflects how visually appealing participants found each image, independent of the prompt. Users were asked: "Which image do you prefer?" <div class="vertical-container"> <div class="container"> <div class="image-container"> <div> <h3 class="score-amount">Flux 2 Pro </h3> <div class="score-percentage">Score: 100%</div> <img style="border: 5px solid #18c54f;" src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/LOb8N1QYMMrgwK3Jg4KQj.jpeg" width=500> </div> <div> <h3 class="score-amount">Stable Diffusion 3 </h3> <div class="score-percentage">Score: 0%</div> <img src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/yT5LbhwZrOmU4AeeXE49c.jpeg" width=500> </div> </div> </div> <div class="container"> <div class="image-container"> <div> <h3 class="score-amount">Flux 2 Pro </h3> <div class="score-percentage">Score: 0%</div> <img src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/6wfRY8v6svdIS85uUmvaB.jpeg" width=500> </div> <div> <h3 class="score-amount">Lumina </h3> <div class="score-percentage">Score: 100%</div> <img style="border: 5px solid #18c54f;" src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/jQxurLywO5lYziJ82bVl2.jpeg" width=500> </div> </div> </div> </div> ## Benchmark <a href="https://app.rapidata.ai/mri/benchmarks/686e5afa75adbe4a56f90549"> <div class="link-container"> <div> Check out the Benchmark! </div> <img class="image" src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/HyeJQ_Pt_K4jkySp55IGO.png" alt="Audio Benchmark"> </div> </a> ## About Rapidata Rapidata's technology makes collecting human feedback at scale faster and more accessible than ever before. Visit [rapidata.ai](https://www.rapidata.ai/) to learn more about how we're revolutionizing human feedback collection for AI development.

# Rapidata Flux 2 Pro 偏好数据集 <a href="https://www.rapidata.ai"> <img src="https://cdn-uploads.huggingface.co/production/uploads/66f5624c42b853e73e0738eb/jfxR79bOztqaC6_yNNnGU.jpeg" width="400" alt="数据集可视化"> </a> 本**文本到图像(Text-to-Image, T2I)**数据集收录了来自超5万名独立标注者的近40万条人类反馈结果,仅用不到7小时便通过[Rapidata Python API](https://docs.rapidata.ai)完成采集,全平台公开且适配大规模评估场景。 本次评估针对Flux 2 Pro(2025年11月25日版本)从三大维度展开:偏好性、连贯性与对齐性。 可前往我们的[官方网站](https://www.rapidata.ai/benchmark)查看最新的模型排名。 若您从本数据集获益并希望未来获取更多同类资源,欢迎为其点赞 ❤️ 若希望将您的模型加入基准测试,请发送邮件至:jason@rapidata.ai ## 概述 本次评估采用Flux 2 Pro(2025年7月24日版本)与其余18款模型进行1v1对比,参与对比的模型包括: - 4o - Flux-1-pro - Flux-1.1-pro - imagen 4 ultra - Aurora - Imagen-3 - DALL-E 3 - Midjourney-5.2 - Frames-23-1-25 - Stable Diffusion 3 - Janus-7b - hidream-l1-full - Recraft V2 - Ideogram V2 - halfmoon-4-4-25 - Lumina-15-2-25 - Imagen 4 Ultra 20.5.25 - Imagen 4 Ultra 24.7.25 - Recraft v3 - Hunyuan Image 2.1 ## 对齐性 对齐分数用于量化生成图像与输入提示词的匹配程度。用户被问及的问题为:「哪张图像更贴合给定描述?」 <div class="vertical-container"> <div class="container"> <div class="text-center"> <q>开裂的矩形倚靠在光滑的圆柱体与剥落的三角形旁。</q> </div> <div class="image-container"> <div> <h3 class="score-amount">Flux 2 Pro</h3> <div class="score-percentage">得分:100%</div> <img style="border: 5px solid #18c54f;" src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/vo7NdtZ6V1x0hVD_piOle.jpeg" width=500> </div> <div> <h3 class="score-amount">Seedream 3</h3> <div class="score-percentage">得分:0%</div> <img src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/psHazJXGQ6IN1rOakPZDO.jpeg" width=500> </div> </div> </div> <div class="container"> <div class="text-center"> <q>方形杯垫紧邻圆形玻璃杯。</q> </div> <div class="image-container"> <div> <h3 class="score-amount">Flux 2 Pro</h3> <div class="score-percentage">得分:0%</div> <img src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/I5kI3eurHZSqWRZay-su0.jpeg" width=500> </div> <div> <h3 class="score-amount">4o</h3> <div class="score-percentage">得分:100%</div> <img style="border: 5px solid #18c54f;" src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/Fj8QL93Nokm_LgJoAtlSk.jpeg" width=500> </div> </div> </div> </div> ## 连贯性 连贯性分数用于衡量生成图像是否具备逻辑自洽性,且无伪影或视觉瑕疵。在不查看原始提示词的前提下,用户被问及的问题为:「哪张图像存在更多瑕疵,且更有可能是AI生成的?」 <div class="vertical-container"> <div class="container"> <div class="image-container"> <div> <h3 class="score-amount">Flux 2 Pro</h3> <div class="score-percentage">瑕疵评级:0%</div> <img style="border: 5px solid #18c54f;" src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/cdR8kXoWeJOFhwsJSE8-8.jpeg" width=500> </div> <div> <h3 class="score-amount">Flux 1 Pro</h3> <div class="score-percentage">瑕疵评级:100%</div> <img src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/QvFsh1iMX6sBBc_xox_gG.jpeg" width=500> </div> </div> </div> <div class="container"> <div class="image-container"> <div> <h3 class="score-amount">Flux 2 Pro</h3> <div class="score-percentage">瑕疵评级:100%</div> <img src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/5kvf9hSGUApakuMaTMTwu.jpeg" width=500> </div> <div> <h3 class="score-amount">Halfmoon 4</h3> <div class="score-percentage">瑕疵评级:0%</div> <img style="border: 5px solid #18c54f;" src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/WzoqlDL-SDBYTTwOR1bAF.jpeg" width=500> </div> </div> </div> </div> ## 偏好性 偏好性分数用于反映参与者对每张图像的视觉好感度,与提示词无关。用户被问及的问题为:「你更偏好哪张图像?」 <div class="vertical-container"> <div class="container"> <div class="image-container"> <div> <h3 class="score-amount">Flux 2 Pro</h3> <div class="score-percentage">得分:100%</div> <img style="border: 5px solid #18c54f;" src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/LOb8N1QYMMrgwK3Jg4KQj.jpeg" width=500> </div> <div> <h3 class="score-amount">Stable Diffusion 3</h3> <div class="score-percentage">得分:0%</div> <img src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/yT5LbhwZrOmU4AeeXE49c.jpeg" width=500> </div> </div> </div> <div class="container"> <div class="image-container"> <div> <h3 class="score-amount">Flux 2 Pro</h3> <div class="score-percentage">得分:0%</div> <img src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/6wfRY8v6svdIS85uUmvaB.jpeg" width=500> </div> <div> <h3 class="score-amount">Lumina</h3> <div class="score-percentage">得分:100%</div> <img style="border: 5px solid #18c54f;" src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/jQxurLywO5lYziJ82bVl2.jpeg" width=500> </div> </div> </div> </div> ## 基准测试 <a href="https://app.rapidata.ai/mri/benchmarks/686e5afa75adbe4a56f90549"> <div class="link-container"> <div> 前往查看基准测试! </div> <img class="image" src="https://cdn-uploads.huggingface.co/production/uploads/672b7d79fd1e92e3c3567435/HyeJQ_Pt_K4jkySp55IGO.png" alt="音频基准测试"> </div> </a> ## 关于Rapidata Rapidata的技术使大规模人类反馈采集比以往任何时候都更快捷、更易用。请访问[rapidata.ai](https://www.rapidata.ai/)了解更多关于我们如何革新AI开发领域的人类反馈采集方式的信息。
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2025-12-03
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