[{"data":1,"prerenderedAt":504},["ShallowReactive",2],{"content:\u002Fposts\u002F5eca252":3,"i-tabler:player-play-filled":494,"surround:\u002Fposts\u002F5eca252":498},{"id":4,"title":5,"body":6,"categories":469,"date":471,"description":472,"draft":473,"extension":474,"image":475,"meta":476,"navigation":478,"path":479,"permalink":479,"published":480,"readingTime":481,"recommend":480,"references":480,"seo":486,"sitemap":487,"stem":488,"tags":489,"type":492,"updated":471,"__hash__":493},"content\u002Fposts\u002F2026\u002F本地部署MiniMax H3和MiniMax Music 3：零成本生成视频与音乐！.md","本地部署MiniMax H3和MiniMax Music 3：零成本生成视频与音乐！",{"type":7,"value":8,"toc":455},"minimark",[9,13,22,28,34,37,40,47,50,53,58,64,75,82,89,92,111,118,226,229,248,251,254,257,260,263,266,269,272,275,278,281,284,287,290,301,312,315,318,325,328,334,340,343,358,374,377,383,386,394,402,437,443,446,449,452],[10,11,12],"h2",{"id":12},"前言",[14,15,16,17,21],"p",{},"今年7月31日，MiniMax发布了其视频生成模型MiniMax H3。次月，其又发布了音乐生成模型 MiniMax Music 3。这两个模型都是",[18,19,20],"strong",{},"开源","模型，我都部署到了本地进行体验。先来看看生成出来的成品：",[23,24],"audio-embed",{"cover":25,"src":26,"title":27},"https:\u002F\u002Fbu.dusays.com\u002F2026\u002F08\u002F29\u002F6a9294a206293.webp","https:\u002F\u002Fcdn.jsdmirror.com\u002Fgh\u002Flmb666666\u002Fblog-static@main\u002FGroove%20in%20my%20skinaudio_minimax_music3_00003.mp3","Groove in my skin",[29,30],"video-embed",{"id":31,"ratio":32,"type":33},"https:\u002F\u002Fcdn.jsdmirror.com\u002Fgh\u002Flmb666666\u002Fblog-static@main\u002Ft2v_00006-audio.mp4","16 \u002F 9","raw",[29,35],{"id":36,"ratio":32,"type":33},"https:\u002F\u002Fcdn.jsdmirror.com\u002Fgh\u002Flmb666666\u002Fblog-static@main\u002FMiniMax_H3_00002_.mp4",[29,38],{"id":39,"ratio":32,"type":33},"https:\u002F\u002Fcdn.jsdmirror.com\u002Fgh\u002Flmb666666\u002Fblog-static@main\u002FAnimateDiff_00004-audio.mp4",[14,41,42,43,46],{},"个人感觉效果不错，写一篇博客记录一下折腾",[18,44,45],{},"MiniMax H3","的过程。至于MiniMax Music 3，其实和下文的部署流程类似，就不单独拿出来写了。下文并不详细，仅供参考，若想了解更多，可以在bilibili等平台中搜索相关内容。",[10,48,49],{"id":49},"模型部署",[14,51,52],{},"先说一下我使用的设备配置：5060Ti 16g，32g ddr4 4000hz内存，16g虚拟内存。我实测下来能正常跑，再搭配上lora、SageAttention等加速方案还是能快乐玩耍的。",[54,55,57],"h3",{"id":56},"安装comfyui","安装ComfyUI",[59,60,61],"blockquote",{},[14,62,63],{},"ComfyUI 是一个基于节点图的可视化 AI 工作流引擎，将文生图、图生图、视频生成等扩散模型推理过程拆解为\"加载模型→编码提示词→采样去噪→解码输出\"等独立节点，通过连线构建有向图来精确控制每一步的参数与数据流。它支持 Stable Diffusion 全系列、Flux、Wan 等主流模型，兼容 ControlNet、LoRA、IPAdapter 等扩展，具备节点级缓存、显存动态调度、工作流 JSON 导出与图片内嵌复现等工程能力。本质上，ComfyUI 不生产模型，而是充当推理编排器，让用户从\"调滑块\"升级为\"搭流水线\"，实现复杂生成任务的精细化控制与可复现生产。",[14,65,66,67,74],{},"关于启动器，我使用的是官方提供的",[68,69,73],"a",{"href":70,"rel":71},"https:\u002F\u002Fcomfy.org\u002Fdownload",[72],"nofollow","Comfy Desktop","。除此以外还有其它大佬打包的启动器，如秋叶启动器、绘世启动器，感兴趣的可以自行下载体验。",[14,76,77],{},[78,79],"img",{"alt":80,"src":81},"image-20260828215940692","https:\u002F\u002Fbu.dusays.com\u002F2026\u002F08\u002F28\u002F6a919450528a6.webp",[14,83,84,85,88],{},"下载官方安装包后按照提示进行按照即可，它会自动帮你补齐运行所需的python等环境。推荐安装的时候开启",[18,86,87],{},"网络代理","，否则可能会下载失败。",[54,90,91],{"id":91},"下载模型",[14,93,94,95,98,99,104,105,110],{},"安装完成后，先去下载所需的模型。打开",[18,96,97],{},"魔搭社区"," （若网络支持，推荐使用",[68,100,103],{"href":101,"rel":102},"https:\u002F\u002Fhuggingface.co\u002F",[72],"Hugging Face","），搜索并找到",[68,106,109],{"href":107,"rel":108},"https:\u002F\u002Fwww.modelscope.cn\u002Fmodels\u002FComfy-Org\u002FMiniMax-H3%E3%80%82",[72],"Comfy-Org\u002FMiniMax-H3","，这是适用于 ComfyUI 的重新打包模型文件。对于H3视频模型，我们需要的下载一个diffusion_models模型，一个text_encoders模型，一个lora模型，2个vae模型。",[14,112,113,114,117],{},"下载之前先解释一下这些文件名后缀的意思：fp32、fp16、int8等代表的是精度，pruned（剪枝）代表删掉一部分模型参数，convrot（卷积旋转量化）是一种",[18,115,116],{},"模型量化技术","。",[119,120,121,140],"table",{},[122,123,124],"thead",{},[125,126,127,131,134,137],"tr",{},[128,129,130],"th",{},"精度",[128,132,133],{},"大小对比",[128,135,136],{},"质量",[128,138,139],{},"适合什么",[141,142,143,158,172,185,199,212],"tbody",{},[125,144,145,149,152,155],{},[146,147,148],"td",{},"fp32",[146,150,151],{},"最大",[146,153,154],{},"最好",[146,156,157],{},"训练微调，本地别下",[125,159,160,163,166,169],{},[146,161,162],{},"fp16",[146,164,165],{},"大",[146,167,168],{},"一般，容易出 bug",[146,170,171],{},"不用选",[125,173,174,177,179,182],{},[146,175,176],{},"bf16",[146,178,165],{},[146,180,181],{},"最好，日常基准",[146,183,184],{},"显存够就选这个",[125,186,187,190,193,196],{},[146,188,189],{},"fp8",[146,191,192],{},"一半大小",[146,194,195],{},"很好",[146,197,198],{},"40\u002F50 系显卡用",[125,200,201,204,206,209],{},[146,202,203],{},"int8",[146,205,192],{},[146,207,208],{},"不错，轻微掉质",[146,210,211],{},"绝大多数显卡通用",[125,213,214,217,220,223],{},[146,215,216],{},"nvfp4",[146,218,219],{},"很小",[146,221,222],{},"一般",[146,224,225],{},"仅 RTX50 系列可用",[14,227,228],{},"我使用的是50系显卡，且配置并不高，故我选择下载以下模型：",[230,231,232,236,239,242,245],"ul",{},[233,234,235],"li",{},"minimax_h3_fl2va_pruned_int8_convrot.safetensors",[233,237,238],{},"qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",[233,240,241],{},"minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.safetensors",[233,243,244],{},"minimax_h3_audio_vae_fp32.safetensors",[233,246,247],{},"minimax_h3_audio_vae_fp16.safetensors",[14,249,250],{},"如果你的配置很高，可以选择更高精度的模型；如果配置很低，可以尝试使用GGUF格式的模型。",[14,252,253],{},"下载后，打开你的ComfyUI文件目录，我安装在D盘，故打开D:\\Comfy-Desktop。之后将下载下来的模型文件按照以下位置放置",[14,255,256],{},"📂 ComfyUI-Shared\u002F",[14,258,259],{},"├── 📂 models\u002F",[14,261,262],{},"│   ├── 📂 diffusion_models\u002F",[14,264,265],{},"│   │   ├── minimax_h3_fl2va_pruned_int8_convrot.safetensors",[14,267,268],{},"│   ├── 📂 text_encoders\u002F",[14,270,271],{},"│   │   └── qwen3vl_32b_minimax_h3_nvfp4_awq.safetensors",[14,273,274],{},"│   ├── 📂 loras\u002F",[14,276,277],{},"│   │   ├── minimax_h3_fl2v_turbo_4step_v1.0_768p_comfyui_bf16.\nsafetensors",[14,279,280],{},"│   ├── 📂 vae\u002F",[14,282,283],{},"│   │   ├── minimax_h3_audio_vae_fp32.safetensors",[14,285,286],{},"│   │   └── minimax_h3_video_vae_fp16.safetensors",[54,288,289],{"id":289},"把玩官方工作流",[14,291,292,293,296,297,300],{},"刚开始玩可以使用",[18,294,295],{},"模板","中提供的官方工作流，我这里以",[18,298,299],{},"文生视频","演示。打开工作流后，有可能会提示缺少模型，这是因为预设模型和你下载使用的模型不一致，只需要改成你下载的模型即可。",[14,302,303,304,307,308,311],{},"若使用",[18,305,306],{},"4步lora","进行加速，需要在image to video节点中",[18,309,310],{},"开启","turbo_mode，并将turbo_steps更改为4。如下图所示。image to video节点中的duration参数是设置视频时长的，其取值范围为 4–15 seconds。",[14,313,314],{},"noise_seed（噪声种子）是干啥的呢？它的作用是控制扩散模型去噪过程的起始随机噪声图案。",[14,316,317],{},"这是啥意思??? 我个人理解是如果其它参数保持不变，只改动noise_seed，那么生成出来的视频是有差异的，类似于《我的世界》中的地图种子。",[14,319,320,321,324],{},"接着来看",[18,322,323],{},"分辨率选择器","这个节点，百万像素参数的配置可以参考下方的参考图，数值越大像素越大，画质越高。同时所需要的内存也更大。",[14,326,327],{},"设置完成后，关闭无用的应用（腾出内存），点击运行按钮，等待即可。",[14,329,330],{},[78,331],{"alt":332,"src":333},"image-20260829112709370","https:\u002F\u002Fbu.dusays.com\u002F2026\u002F08\u002F29\u002F6a925189dc333.webp",[14,335,336],{},[78,337],{"alt":338,"src":339},"image-20260829113421887","https:\u002F\u002Fbu.dusays.com\u002F2026\u002F08\u002F29\u002F6a92533b3176d.webp",[54,341,342],{"id":342},"更进一步",[14,344,345,346,351,352,357],{},"除了使用官方工作流外，还可以使用社区制作的优化工作流。例如下图中的是由",[68,347,350],{"href":348,"rel":349},"https:\u002F\u002Fspace.bilibili.com\u002F449342345",[72],"黎黎原上咩","制作的带有",[68,353,356],{"href":354,"rel":355},"https:\u002F\u002Fgithub.com\u002Fkijai\u002FComfyUI-SolAttn_triton",[72],"SolAttn_triton","等优化插件的工作流。",[14,359,360,361,364,365,368,369,373],{},"在第一次使用社区工作流时，大概率会遇到",[18,362,363],{},"节点缺失","的问题，很好解决。比如我缺少了",[68,366,356],{"href":354,"rel":367},[72],"节点，那么我只需要打开ComfyUI配置目录下的自定义节点文件夹（例如 D:\\Comfy-Desktop\\ComfyUI-Installs\\ComfyUI\\ComfyUI\\custom_nodes）打开终端，使用git拉取该插件仓库 ",[370,371,372],"code",{"code":372},"git clone https:\u002F\u002Fgithub.com\u002Fkijai\u002FComfyUI-SolAttn_triton","，之后重启ComfyUI即可解决。",[14,375,376],{},"现在ai这么方便，遇到搞不明白的问题，可以发给ai解决。",[14,378,379],{},[78,380],{"alt":381,"src":382},"黎黎原上咩工作流","https:\u002F\u002Fbu.dusays.com\u002F2026\u002F08\u002F29\u002F6a926c8928ed7.webp",[14,384,385],{},"再说说LoRA吧，LoRA 有两种常见用途：",[230,387,388,391],{},[233,389,390],{},"定制角色\u002F风格\u002F动作的\"内容 LoRA\"",[233,392,393],{},"专门用来少步采样的\"Turbo LoRA\"",[14,395,396,397,401],{},"使用Turbo LoRA可以加快视频生成，但同时也会因为减少采样步数而导致视频质量下降。我使用的Turbo LoRA是lightx2v发布的8步LoRA（",[68,398,399],{"href":399,"rel":400},"https:\u002F\u002Fhuggingface.co\u002Flightx2v\u002FMinimax-h3-Turbo",[72]," ），听说是目前效果最好的。",[14,403,404,405,408,409,412,413,418,419,424,425,430,431,436],{},"视频产出后，如果觉得画质不清晰，除了提高",[18,406,407],{},"百万像素","参数以外，还可以选择用其它模型对视频进行",[18,410,411],{},"放大","，如我使用的",[68,414,417],{"href":415,"rel":416},"https:\u002F\u002Fgithub.com\u002FOpenImagingLab\u002FFlashVSR",[72],"FlashVSR","。\n在ComfyUI里使用该模型，可以使用",[68,420,423],{"href":421,"rel":422},"https:\u002F\u002Fgithub.com\u002Fsmthemex\u002FComfyUI_FlashVSR",[72],"ComfyUI_FlashVSR","插件。但是我的环境安装不上其必备的",[68,426,429],{"href":427,"rel":428},"https:\u002F\u002Fgithub.com\u002Fmit-han-lab\u002FBlock-Sparse-Attention",[72],"Block-Sparse-Attention","，所以我选择",[68,432,435],{"href":433,"rel":434},"https:\u002F\u002Fgithub.com\u002Flihaoyun6\u002FComfyUI-FlashVSR_Ultra_Fast",[72],"ComfyUI-FlashVSR_Ultra_Fast","，它用 Sparse_SageAttention 替换了 Block-Sparse-Attention，无需编译任何自定义内核。配置很简单，先下载对应的模型，之后连一下节点即可使用，如下图。",[14,438,439],{},[78,440],{"alt":441,"src":442},"image-20260829135556585","https:\u002F\u002Fbu.dusays.com\u002F2026\u002F08\u002F29\u002F6a9274678dc45.webp",[14,444,445],{},"以下是放大后的视频，可以与上文的第一个视频进行对比，效果还是很明显的：",[29,447],{"id":448,"ratio":32,"type":33},"https:\u002F\u002Fcdn.jsdmirror.com\u002Fgh\u002Flmb666666\u002Fblog-static@main\u002FAnimateDiff_00001-audio.mp4",[10,450,451],{"id":451},"结尾",[14,453,454],{},"这是我第一次自己在本地跑模型，折腾了一周时间，挺好玩的，也学会了很多东西。在这之前，我也想过尝试seedance等闭源模型，奈何价格太高。MiniMax H3和Music 3开源后，零成本（电费？）在本地跑！你知道的，我一直是MiniMax的忠实用户……我将称MiniMax为多模态领域的源神！",{"title":456,"searchDepth":457,"depth":457,"links":458},"",4,[459,461,468],{"id":12,"depth":460,"text":12},2,{"id":49,"depth":460,"text":49,"children":462},[463,465,466,467],{"id":56,"depth":464,"text":57},3,{"id":91,"depth":464,"text":91},{"id":289,"depth":464,"text":289},{"id":342,"depth":464,"text":342},{"id":451,"depth":460,"text":451},[470],"笔记","2026-08-29 14:29:24","在本地电脑上部署开源的 MiniMax H3 与 Music 3：从安装 ComfyUI、下载模型文件，到 LoRA 加速和 FlashVSR 放大，零成本产出视频与音乐的折腾记录。",false,"md","https:\u002F\u002Fbu.dusays.com\u002F2026\u002F08\u002F29\u002F6a9299c0be2ef.webp",{"slots":477},{},true,"\u002Fposts\u002F5eca252",null,{"text":482,"minutes":483,"time":484,"words":485},"9 min read",8.645,518700,1729,{"title":5,"description":472},{"loc":479},"posts\u002F2026\u002F本地部署MiniMax H3和MiniMax Music 3：零成本生成视频与音乐！",[490,491],"MiniMax","AI","tech","Z4A8GiPcV5cjyOo7ddxXdNJ0pUEaQwOwbph9PmViRZw",{"left":495,"top":495,"width":496,"height":496,"rotate":495,"vFlip":473,"hFlip":473,"body":497},0,24,"\u003Cpath fill=\"currentColor\" d=\"M6 4v16a1 1 0 0 0 1.524.852l13-8a1 1 0 0 0 0-1.704l-13-8A1 1 0 0 0 6 4\"\u002F>",[499,480],{"title":500,"path":501,"stem":502,"date":503,"type":492,"children":-1},"不只是图床！使用 Telegraph-Image 搭建免费无限存储","\u002Fposts\u002F4632706","posts\u002F2026\u002F不只是图床！使用Telegraph-Image搭建免费无限存储","2026-08-27 17:22:35",1788177412733]