[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"news-slug-midjourney-v8-1-hd-3x-default":3,"news-related-1e0c52a9-c802-438d-9f21-4ea7ddc3d96a":36},{"id":4,"title":5,"summary":6,"content":6,"original_url":7,"source_id":8,"tags":9,"translations":23,"news_slug":29,"published_at":30,"created_at":31,"modified_at":32,"is_published":33,"publish_type":34,"image_url":13,"view_count":35},"1e0c52a9-c802-438d-9f21-4ea7ddc3d96a","Midjourney V8.1 发布：HD模式提速3倍，图像生成进入「高效量产」时代","4 月 30 日，Midjourney 正式发布 V8.1 版本，这是 V8 系列自 3 月上线以来的第三次迭代。相比 V8.0，V8.1 在渲染速度和成本控制上实现了质的飞跃：HD 模式提速 3 倍、成本降低 3 倍，并被设为默认模式；标准分辨率模式也提升了 50% 速度、降低 25% 成本，V8.1 标准模式 Full Quality 的出图速度已与 V7 的 Draft Mode 持平。\n\n**速度提升背后的技术逻辑**\n\nV8 系列基于全新 GPU 原生架构构建，V8.1 进一步针对渲染管线做了深度优化。HD 模式（输出 2K 分辨率）此前因计算量大、耗时长、成本高，让不少用户望而却步。此番将 HD 设为默认并大幅提速降价，意味着 Midjourney 正在将高质量图像生成推向「可大规模使用」的临界点。\n\n**社区功能回归与新工具**\n\nV8.1 还带回了此前在 V7 中大受好评的功能：Image Prompts（图像提示）和 Image Weights（图像权重）重新支持，用户可以将参考图融入提示词中精确控制生成结果。新增的 Prompt Shortener 则会在提示词超长时自动压缩优化，缓解了 V8 超长提示词容易失效的问题。Describe 功能也升级为更详细、更匹配 V8 风格的描述输出。\n\n**竞争格局观察**\n\n图像生成模型战场正在分化：Midjourney 专注速度和易用性，FLUX.2 走开源协作路线，GPT Image 2 依托语言模型优势做图文融合。V8.1 的提速降本策略，更像是在价格敏感场景中抢占身位。值得注意的是，V8 系列目前仍在 alpha 测试阶段，正式版的功能和定价尚未落定。\n\nMidjourney V8.1 的发布再次证明：图像生成模型的核心竞争力已从「能否生成」，转向「生成多快、成本多低」。2026 年的图像生成战场，速度和成本正在成为新的决胜手。","https:\u002F\u002Fupdates.midjourney.com\u002Fv8-1-alpha\u002F","501c3219-ca27-46c9-a95c-72eff1cf0449",[10,14,17,20],{"id":11,"name":12,"slug":12,"description":13,"color":13},"e676a5cf-1f24-472f-a765-86fa21a1bc3c","ai-model",null,{"id":15,"name":16,"slug":16,"description":13,"color":13},"7b67033c-19e6-4052-a626-e681bba64c7a","diffusion",{"id":18,"name":19,"slug":19,"description":13,"color":13},"499f4b56-819d-49a3-9609-33e775143b86","multimodal",{"id":21,"name":22,"slug":22,"description":13,"color":13},"c883fd20-1d66-4fb7-9fc7-320fa7f87023","text-to-image",[24],{"id":25,"lang":26,"title":27,"summary":28,"content":13},"7eddfee8-8490-4af5-828a-d43fbf183634","en","Midjourney V8.1: HD mode three times faster","On April 30, Midjourney officially released version V8.1, the third iteration of the V8 series since its March launch. Compared to V8.0, V8.1 achieved a qualitative leap in rendering speed and cost control: HD mode is 3× faster with 3× cost reduction, and is now the default; standard-resolution mode also gets 50% speedup and 25% cost reduction, with V8.1 Standard Mode Full Quality's generation speed now matching V7's Draft Mode.\n\n**The technical logic behind the speed boost**\n\nThe V8 series is built on a brand-new GPU-native architecture, and V8.1 further optimizes the rendering pipeline in depth. HD mode (output 2K resolution) was previously so compute-intensive, time-consuming, and costly that many users were deterred. Setting HD as default and dramatically improving speed and pricing means Midjourney is pushing high-quality image generation to a \"mass-usable\" tipping point.\n\n**Community feature returns and new tools**\n\nV8.1 also brings back features that were well-received in V7: Image Prompts and Image Weights return, letting users blend reference images into prompts to precisely control generation results. The new Prompt Shortener automatically compresses and optimizes overly long prompts, addressing the V8 issue where overlong prompts easily fail. The Describe feature has also been upgraded to more detailed, V8-style output descriptions.\n\n**Competitive landscape observations**\n\nThe image-generation model battlefield is differentiating: Midjourney focuses on speed and ease-of-use, FLUX.2 takes the open-source collaboration route, GPT Image 2 leverages language-model advantages for image-text fusion. V8.1's speed-up and cost-down strategy looks more like grabbing position in price-sensitive scenarios. Notably, the V8 series is still in alpha testing, with the official version's features and pricing not yet finalized.\n\nMidjourney V8.1's release again proves: the core competitiveness of image generation models has shifted from \"can it generate\" to \"how fast and how cheap.\" In 2026's image generation battlefield, speed and cost are becoming the new deciding factors.","midjourney-v8-1-hd-3x-default","2026-05-12T05:15:00Z","2026-05-12T13:14:32.656911Z","2026-08-19T02:08:40.142862Z",true,"agent",110,{"items":37},[38,43,48,53,58,63],{"id":39,"title":40,"news_slug":41,"published_at":42},"5ff06769-2251-40fd-a672-f394a1f68965","十人合影谁是谁:腾讯混元 WithEveryone 给群像生成装上身份锚点","witheveryone-group-image-identity-grounding","2026-08-24T13:00:00+00:00",{"id":44,"title":45,"news_slug":46,"published_at":47},"7cc1b87c-fe06-495a-9c01-9516d0c16354","腾讯混元 HunyuanImage-3.0 全面开源：80B 总参 \u002F 13B 激活的自回归 MoE，把多模态理解和生图拉到同一框架","tencent-hunyuanimage-3-moe-autoregressive","2026-08-05T01:00:00+00:00",{"id":49,"title":50,"news_slug":51,"published_at":52},"22aad878-387f-4166-b68c-896b39a27de3","Sourceful Riverflow 2.5：把「评分函数」塞进图像生成，让「什么是好图」变成可编程的","sourceful-riverflow-2-5","2026-07-01T10:00:00+00:00",{"id":54,"title":55,"news_slug":56,"published_at":57},"8c908abd-6e59-4ccc-949d-0876c9dfbc2d","Runway Gen-4 发布：原生音视频同步 + 物理引擎升级，视频生成进入新阶段","runway-gen-4-audio-video-sync-physics","2026-05-08T16:10:00+00:00",{"id":59,"title":60,"news_slug":61,"published_at":62},"fec5fd73-0995-4484-b7f2-0ec466dab080","Black Forest Labs 发布 FLUX.2：图像生成进入「分工协作」新时代","flux-2-pro-flex-dev-klein-4-variants","2026-05-08T04:00:00+00:00",{"id":64,"title":65,"news_slug":66,"published_at":67},"f4c705fd-47c9-481a-807f-8001820070f8","InfinityEdit:三注意力轻量适配器,把视频编辑推进无界流时代","infinityedit-infinite-video-editing-adapter","2026-08-25T13:00:00+00:00"]