[{"data":1,"prerenderedAt":529},["ShallowReactive",2],{"content-/zh/models/flux.2.md":3},{"id":4,"title":5,"body":6,"description":514,"extension":522,"meta":523,"navigation":524,"path":525,"seo":526,"stem":527,"__hash__":528},"content/zh/models/flux.2.md","1. Flux.2 系列",{"type":7,"value":8,"toc":513},"minimark",[9,13,32,35,39,56,60,63,73,81,88,93,104,113,118,125,131,138,145,152,158,162,172,179,186,194,201,206,212,215,218,224,229,235,238,241,247,253,260,267,271,276,279,286,293,300,305,311,317,324,329,335,338,341,352,359,366,373,377,380,387,394,400,405,410,413,419,425,432,439,443,448,455,462,468,473,478,484,490,497,504],[10,11,5],"h1",{"id":12},"_1-flux2-系列",[14,15,16,20,23,26,29],"ul",{},[17,18,19],"li",{},"Flux.2 dev",[17,21,22],{},"Flux.2 kelin 4b",[17,24,25],{},"Flux.2 kelin 9b",[17,27,28],{},"Flux.2 4b base",[17,30,31],{},"Flux.2 9b base",[33,34],"hr",{},[36,37,38],"p",{},"多参考图支持：可同时参考多达10张图片，实现目前业界最佳的角色/产品/风格一致性。",[14,40,41,44,47,50,53],{},[17,42,43],{},"图像细节与照片级真实感：细节更丰富、纹理更清晰、光线更稳定，适用于产品拍摄、可视化及摄影类场景。",[17,45,46],{},"文字渲染：复杂排版、信息图表、表情包和UI原型中的细小文字均可清晰呈现，可稳定用于生产环境。",[17,48,49],{},"增强的指令遵循能力：对复杂的结构化指令（包括多部分提示词和构图约束）的遵循度提升。",[17,51,52],{},"世界知识：更贴合现实世界的知识、光线和空间逻辑，生成的场景更连贯且符合预期。",[17,54,55],{},"更高分辨率与灵活的输入输出比例：支持最高400万像素分辨率的图像编辑。",[57,58,19],"h2",{"id":59},"flux2-dev",[36,61,62],{},"320亿参数的开源模型，衍生自FLUX.2基础模型。是目前最强大的开源图像生成与编辑模型，在单个模型文件中整合了文本生成图像和多参考图图像编辑能力。",[36,64,65,72],{},[66,67,68],"em",{},[69,70,71],"strong",{},"下载量：","\n92万次",[36,74,75,80],{},[66,76,77],{},[69,78,79],{},"模型大小：","\n64GB",[36,82,83],{},[66,84,85],{},[69,86,87],{},"适配器（Adapter）",[14,89,90],{},[17,91,92],{},"flux.2 dev turbo",[36,94,95,96,100,101,103],{},"描述：FLUX.2 ",[97,98,99],"span",{},"dev"," Turbo是针对FLUX.2 ",[97,102,99],{},"的蒸馏LoRA适配器，仅需8步推理即可生成高质量图像。",[36,105,106],{},[107,108,112],"a",{"href":109,"rel":110},"https://huggingface.co/fal/FLUX.2-dev-Turbo",[111],"nofollow","下载链接",[14,114,115],{},[17,116,117],{},"贝尔特·莫里索风格LoRA",[36,119,120],{},[121,122],"img",{"alt":123,"src":124},"贝尔特·莫里索风格","/images/flux.2/berthe-morisot.jpg",[36,126,127],{},[107,128,112],{"href":129,"rel":130},"https://huggingface.co/ostris/flux2_berthe_morisot",[111],[36,132,133],{},[66,134,135],{},[69,136,137],{},"模型链接",[36,139,140],{},[107,141,144],{"href":142,"rel":143},"https://huggingface.co/black-forest-labs/FLUX.2-dev",[111],"FLUX.2-dev",[36,146,147],{},[107,148,151],{"href":149,"rel":150},"https://huggingface.co/black-forest-labs/FLUX.2-dev-NVFP4",[111],"FLUX.2-dev-NVFP-4",[153,154,155],"blockquote",{},[36,156,157],{},"提示：NVFP版本模型适配英伟达Blackwell GPU架构（RTX 50系列）",[57,159,161],{"id":160},"flux2-kelin-4b","Flux.2 kelin 4B",[36,163,164,165,168,169,171],{},"FLUX.2 ",[97,166,167],{},"klein","模型系列是目前速度最快的图像模型。FLUX.2 ",[97,170,167],{},"在紧凑的架构中统一了生成与编辑能力，端到端推理耗时可低至1秒以内，同时保持顶尖的生成质量。专为需要实时图像生成且不牺牲质量的应用场景打造。",[36,173,174,178],{},[66,175,176],{},[69,177,71],{},"\n20万次",[36,180,181,185],{},[66,182,183],{},[69,184,79],{},"\n4.07GB",[36,187,188,193],{},[66,189,190],{},[69,191,192],{},"运行要求","\n至少13GB显存",[36,195,196],{},[66,197,198],{},[69,199,200],{},"适配器（adapters）",[14,202,203],{},[17,204,205],{},"精灵图（spritesheet）LoRA",[36,207,208],{},[121,209],{"alt":210,"src":211},"精灵图LoRA","/images/flux.2/spritesheet.png",[36,213,214],{},"描述：将任意物体转换为风格统一的2×2多视角精灵图",[36,216,217],{},"提示词（prompts）：2x2 sprite sheet（2×2精灵图）",[36,219,220],{},[107,221,112],{"href":222,"rel":223},"https://huggingface.co/fal/flux-2-klein-4b-spritesheet-lora/resolve/main/flux-spritesheet-lora.safetensors",[111],[14,225,226],{},[17,227,228],{},"图像扩边（outpainting）LoRA",[36,230,231],{},[121,232],{"alt":233,"src":234},"图像扩边LoRA","/images/flux.2/flux_kelin_4b_outpaint.jpg",[36,236,237],{},"描述：该LoRA可填充图像周围绿色边框区域，生成符合上下文的AI内容。只需为任意图像添加绿色边框，模型即可自然地扩展场景。",[36,239,240],{},"提示词（prompts）：根据图像填充绿色区域",[36,242,243],{},[107,244,112],{"href":245,"rel":246},"https://huggingface.co/fal/flux-2-klein-4B-outpaint-lora/resolve/main/flux-outpaint-lora.safetensors",[111],[36,248,249],{},[66,250,251],{},[69,252,137],{},[36,254,255],{},[107,256,259],{"href":257,"rel":258},"https://huggingface.co/black-forest-labs/FLUX.2-klein-4B",[111],"FLUX.2-klein-4B",[36,261,262],{},[107,263,266],{"href":264,"rel":265},"https://huggingface.co/black-forest-labs/FLUX.2-klein-4b-fp8/resolve/main/flux-2-klein-4b-fp8.safetensors",[111],"FLUX.2-kelin-4b-fp8",[57,268,270],{"id":269},"flux2-kelin-9b","Flux.2 kelin 9B",[36,272,164,273,275],{},[97,274,167],{}," 9B是一款90亿参数的整流流变换模型，可根据文本描述生成图像，并支持多参考图编辑能力。",[36,277,278],{},"这是我们的旗舰小型模型。在文本生成图像、单参考图编辑和多参考图生成场景中，定义了质量与延迟权衡的帕累托最优边界。仅需半秒以内的推理时间，即可达到甚至超越5倍于其参数量的模型效果。基于90亿参数的流模型与80亿参数的Qwen3文本编码器构建，通过步数蒸馏优化至仅需4步推理。",[36,280,281,285],{},[66,282,283],{},[69,284,71],{},"\n10万次",[36,287,288,292],{},[66,289,290],{},[69,291,79],{},"\n18.2GB",[36,294,295],{},[66,296,297],{},[69,298,299],{},"适配器（Adapters）",[14,301,302],{},[17,303,304],{},"一致性LoRA（图像到图像）",[36,306,307],{},[121,308],{"alt":309,"src":310},"一致性LoRA","/images/flux.2/consistency-lora.jpeg",[36,312,313],{},[107,314,112],{"href":315,"rel":316},"https://huggingface.co/dx8152/Flux2-Klein-9B-Consistency/resolve/main/Klein-consistency.safetensors",[111],[36,318,319],{},[107,320,323],{"href":321,"rel":322},"https://huggingface.co/dx8152/Flux2-Klein-9B-Consistency",[111],"页面链接",[14,325,326],{},[17,327,328],{},"任意内容转真实人物LoRA（文本到图像）",[36,330,331],{},[121,332],{"alt":333,"src":334},"动漫转写实","/images/flux.2/animate_to_real.png",[36,336,337],{},"描述：该LoRA专为动漫转写实（真人实景）场景设计，针对Flux2 Klein架构做了专项优化。",[36,339,340],{},"提示词（prompts）：写实风格的年轻亚裔女孩",[36,342,343,347],{},[107,344,112],{"href":345,"rel":346},"https://huggingface.co/WarmBloodAban/Flux2_Klein_Anything_to_Real_Characters/resolve/main/Flux2%20Klein%E5%8A%A8%E6%BC%AB%E8%BD%AC%E5%86%99%E5%AE%9E%E7%9C%9F%E4%BA%BA%20AnythingtoRealCharacters.safetensors",[111],[107,348,351],{"href":349,"rel":350},"https://huggingface.co/WarmBloodAban/Flux2_Klein_Anything_to_Real_Characters",[111],"页面链接:",[36,353,354],{},[66,355,356],{},[69,357,358],{},"模型链接：",[36,360,361],{},[107,362,365],{"href":363,"rel":364},"https://huggingface.co/black-forest-labs/FLUX.2-klein-9B",[111],"FLUX.2-klein-9B",[36,367,368],{},[107,369,372],{"href":370,"rel":371},"https://huggingface.co/black-forest-labs/FLUX.2-klein-9b-fp8/resolve/main/flux-2-klein-9b-fp8.safetensors",[111],"FLUX.2-klein-9b-fp8",[57,374,376],{"id":375},"flux2-4b-base基础版","Flux.2 4b base（基础版）",[36,378,379],{},"这是一款全容量的基础模型，未经蒸馏处理，保留了完整的训练信号，具备最大的灵活性。适用于微调、LoRA训练、科研以及对可控性要求高于速度的自定义工作流场景。生成结果的多样性高于蒸馏版本模型。",[36,381,382,386],{},[66,383,384],{},[69,385,71],{},"\n9万次",[36,388,389,393],{},[66,390,391],{},[69,392,79],{},"\n7.75GB",[36,395,396],{},[66,397,398],{},[69,399,87],{},[14,401,402],{},[17,403,404],{},"像素精灵图4方向行走LoRA",[36,406,407],{},[121,408],{"alt":404,"src":409},"/images/flux.2/pixel_spritesheet_4walk.png",[36,411,412],{},"描述：适用于32x32尺寸小角色的像素艺术精灵图LoRA，包含上下左右行走、双手举起站立、左右跳跃、躺倒在地的动画帧。",[36,414,415],{},[107,416,323],{"href":417,"rel":418},"https://huggingface.co/svntax-dev/pixel_spritesheet_4walk_small_lora_v1",[111],[36,420,421],{},[66,422,423],{},[69,424,358],{},[36,426,427],{},[107,428,431],{"href":429,"rel":430},"https://huggingface.co/black-forest-labs/FLUX.2-klein-base-4B",[111],"FLUX.2-klein-4B base",[36,433,434],{},[107,435,438],{"href":436,"rel":437},"https://huggingface.co/black-forest-labs/FLUX.2-klein-base-4b-fp8/resolve/main/flux-2-klein-base-4b-fp8.safetensors",[111],"FLUX.2-klein-4b base fp8",[57,440,442],{"id":441},"flux2-9b-base基础版","Flux.2 9b base（基础版）",[36,444,164,445,447],{},[97,446,167],{}," 9B Base是一款90亿参数的整流流变换模型，可根据文本描述生成图像，并支持多参考图编辑能力。",[36,449,450,454],{},[66,451,452],{},[69,453,71],{},"\n7.5万次",[36,456,457,461],{},[66,458,459],{},[69,460,79],{},"\n9.57GB",[36,463,464],{},[66,465,466],{},[69,467,87],{},[14,469,470],{},[17,471,472],{},"模特风格LoRA",[36,474,475],{},[121,476],{"alt":472,"src":477},"/images/flux.2/Model-lora.png",[36,479,480],{},[107,481,323],{"href":482,"rel":483},"https://huggingface.co/linoyts/Flux2-Klein-Models-lora",[111],[36,485,486],{},[66,487,488],{},[69,489,358],{},[36,491,492],{},[107,493,496],{"href":494,"rel":495},"https://huggingface.co/pmczip/FLUX.2-klein-9B_Models",[111],"FLUX.2-klein-9B base",[36,498,499],{},[107,500,503],{"href":501,"rel":502},"https://huggingface.co/black-forest-labs/FLUX.2-klein-9B-fp8/resolve/main/flux-2-klein-9B-fp8.safetensors",[111],"FLUX.2-klein-9B base fp8",[153,505,506],{},[36,507,508,509],{},"新手注意事项：\nfp8版本仅包含扩散模型（diffusion model），VAE、文本编码器（text_encoders）等其他模型未包含在fp8版本中。如需这些组件，请前往原始模型页面下载。若不清楚操作方法，可参考",[107,510,512],{"href":511},"/advanced-tutorial/models-download","模型下载教程 ",{"title":514,"searchDepth":515,"depth":515,"links":516},"",2,[517,518,519,520,521],{"id":59,"depth":515,"text":19},{"id":160,"depth":515,"text":161},{"id":269,"depth":515,"text":270},{"id":375,"depth":515,"text":376},{"id":441,"depth":515,"text":442},"md",{},true,"/zh/models/flux.2",{"title":5,"description":514},"zh/models/flux.2","Aul_WgwTGtEkpzei7SpmDA48YrJY-CfqwKnNf7McE8g",1773986044745]