[
  {
    "id": "antirez-h3-metal",
    "code": "T01",
    "category": "mac",
    "featured": true,
    "title": "h3.c / h3-metal",
    "url": "https://github.com/antirez/h3.c",
    "kind": {
      "zh": "MAC 原生 / C + METAL",
      "en": "NATIVE MAC / C + METAL"
    },
    "description": {
      "zh": "antirez 从零实现的 Apple Silicon 原生 MiniMax H3 推理引擎。无需 Python、PyTorch 或 ComfyUI，已打通文生音视频、首尾帧控制与有序 Ref2VA 参考。",
      "en": "Antirez's native MiniMax H3 inference engine for Apple Silicon, built without Python, PyTorch, or ComfyUI. Text-to-audio-video, first/last-frame control, and ordered Ref2VA references work end to end."
    },
    "audience": {
      "zh": "适合希望直接在 Apple Silicon 上本地运行 H3，并愿意使用命令行的 Mac 用户。",
      "en": "For Mac users who want to run H3 locally on Apple Silicon and are comfortable with a command line."
    },
    "steps": {
      "zh": [
        "准备 Apple Silicon Mac、官方 Hugging Face 权重，并确保 FFmpeg 与 FFprobe 已加入 PATH。",
        "运行 make -j8，再用 ./h3 --info -d ./MiniMax-H3 检查模型目录和 Metal 设备。",
        "不传 -p 即可进入交互会话；用 !first、!last 或 !ref-image 设置条件，再输入提示词生成。"
      ],
      "en": [
        "Prepare an Apple Silicon Mac, the official Hugging Face weights, and FFmpeg plus FFprobe on PATH.",
        "Run make -j8, then inspect the model layout and Metal device with ./h3 --info -d ./MiniMax-H3.",
        "Start without -p for an interactive session; set !first, !last, or !ref-image before entering a prompt."
      ]
    },
    "facts": [
      "Pure C + Metal",
      "No Python / PyTorch",
      "T2VA · FL2VA · Ref2VA"
    ],
    "tags": [
      "Apple Silicon",
      "Metal",
      "CLI",
      "FFmpeg"
    ],
    "action": {
      "zh": "阅读 Mac 原生教程",
      "en": "Read the native Mac tutorial"
    },
    "verifiedAt": "2026-08-23",
    "stars": 2358,
    "forks": 166,
    "pushedAt": "2026-08-11T13:53:32Z",
    "snapshotAt": "2026-08-23"
  },
  {
    "id": "official-minimax-h3",
    "code": "T02",
    "category": "official",
    "featured": false,
    "title": "MiniMax-AI / MiniMax-H3",
    "url": "https://github.com/MiniMax-AI/MiniMax-H3",
    "kind": {
      "zh": "官方 / 权重 + AGENT SKILL",
      "en": "OFFICIAL / WEIGHTS + AGENT SKILL"
    },
    "description": {
      "zh": "官方权重、部署说明与九个 Agent Skill 的总入口。h3-prompt-writing 可在 Claude、Codex 等 Agent 中按镜头、对白和环境声组织提示词。",
      "en": "The official entry point for weights, deployment documentation, and nine Agent Skills. h3-prompt-writing structures shots, dialogue, and environmental audio in agents including Claude and Codex."
    },
    "audience": {
      "zh": "适合第一次部署 H3，或希望先建立可靠提示词写法的用户。",
      "en": "For first-time H3 deployment and anyone who wants a reliable prompt-writing baseline."
    },
    "steps": {
      "zh": [
        "先确认任务类型：FL2VA 权重覆盖文字与首尾帧，Ref2VA 权重用于多模态参考。",
        "需要提示词助手时，运行 npx skills add 官方仓库地址 --skill h3-prompt-writing。",
        "本地推理按硬件选择 SGLang、vLLM、Diffusers 或官方 ComfyUI 教程，并先复现公开样例。"
      ],
      "en": [
        "Choose the task family first: FL2VA covers text and first/last-frame inputs; Ref2VA handles multimodal references.",
        "Install the prompt helper with npx skills add and the official repository URL, followed by --skill h3-prompt-writing.",
        "Pick SGLang, vLLM, Diffusers, or the official ComfyUI tutorial for your hardware, then reproduce a published example first."
      ]
    },
    "facts": [
      "9 Agent Skills",
      "Official Weights",
      "4–15s · 24 FPS"
    ],
    "tags": [
      "Official",
      "Prompt Writing",
      "SGLang",
      "ComfyUI"
    ],
    "action": {
      "zh": "打开官方部署文档",
      "en": "Open official deployment docs"
    },
    "verifiedAt": "2026-08-23",
    "stars": 6732,
    "forks": 421,
    "pushedAt": "2026-08-15T08:31:17Z",
    "snapshotAt": "2026-08-23"
  },
  {
    "id": "turbo-lora",
    "code": "T03",
    "category": "acceleration",
    "featured": false,
    "title": "MiniMax-H3 Turbo LoRA",
    "url": "https://github.com/Larryvrh/ComfyUI-MiniMax-H3-Turbo",
    "kind": {
      "zh": "加速 / COMFYUI LORA",
      "en": "ACCELERATION / COMFYUI LORA"
    },
    "description": {
      "zh": "把常规约 20 步的同步音视频采样压缩到 4–8 步。当前 v4 EMA 更适合大多数任务；6–8 步质量更稳，4 步主要用于快速预览。",
      "en": "Compresses the usual roughly 20-step synchronized audio-video sampling path to four to eight steps. The current v4 EMA suits most work; six to eight steps are steadier, while four is primarily for previews."
    },
    "audience": {
      "zh": "适合已经跑通 ComfyUI H3，下一步想缩短采样时间的用户。",
      "en": "For users who already have H3 working in ComfyUI and want shorter sampling times."
    },
    "steps": {
      "zh": [
        "安装配套 ComfyUI-MiniMax-H3-Turbo 节点，并准备官方 H3 基模、双 VAE 与文本编码器。",
        "优先放入 v4 step600 EMA 权重，在官方工作流的模型加载器与采样器之间插入 Turbo LoRA。",
        "调度器使用 simple、强度先保持 1.0；从 6–8 步成片，4 步只做快速预览。"
      ],
      "en": [
        "Install the companion ComfyUI-MiniMax-H3-Turbo nodes and prepare the H3 base model, both VAEs, and the text encoder.",
        "Prefer the v4 step600 EMA weight and insert Turbo LoRA between the official workflow's model loader and sampler.",
        "Keep the scheduler on simple and strength at 1.0; use six to eight steps for finals and four for quick previews."
      ]
    },
    "facts": [
      "4–8 Steps",
      "v4 EMA",
      "Synchronized Audio"
    ],
    "tags": [
      "LoRA",
      "ComfyUI",
      "Acceleration",
      "Audio + Video"
    ],
    "action": {
      "zh": "查看权重与工作流",
      "en": "View weights and workflow"
    },
    "verifiedAt": "2026-08-23",
    "stars": 495,
    "forks": 35,
    "pushedAt": "2026-08-14T14:14:50Z",
    "snapshotAt": "2026-08-23"
  },
  {
    "id": "motion-context",
    "code": "T04",
    "category": "long-video",
    "featured": false,
    "title": "ComfyUI H3 Motion Context",
    "url": "https://github.com/NikoDemon80/ComfyUI-H3-Motion-Context",
    "kind": {
      "zh": "长视频 / 运动 + 音频续接",
      "en": "LONG VIDEO / MOTION + AUDIO CONTEXT"
    },
    "description": {
      "zh": "把上一段的 H3 画面 latent 与音频上下文带入下一段，让运动方向、节奏与声音跨片段继续，而不是重新生成一个相似开头。",
      "en": "Carries the previous clip's H3 visual latent and audio context into the next clip so motion, rhythm, and sound continue across the join instead of restarting with a similar take."
    },
    "audience": {
      "zh": "适合制作超过单次生成时长的连续镜头、音乐段落或叙事视频。",
      "en": "For continuous shots, music sequences, or narratives that exceed one generation window."
    },
    "steps": {
      "zh": [
        "把仓库目录放进 ComfyUI/custom_nodes 并重启；节点只在首次运行续接图时安装运行时补丁。",
        "用 Save/Load Latent 把上一段的联合音画 latent 接入下一次运行，避免像素与音频的有损往返。",
        "从 context_length 22、audio_context_length 24、match_tail 开始，并关闭 Spectrum。"
      ],
      "en": [
        "Place the repository in ComfyUI/custom_nodes and restart; runtime patches install only when a chaining graph first runs.",
        "Carry the previous joint audio-video latent through Save/Load Latent to avoid lossy pixel and audio round trips.",
        "Start with context_length 22, audio_context_length 24, match_tail enabled, and Spectrum off."
      ]
    },
    "facts": [
      "Latent Chaining",
      "Motion Continuity",
      "Audio Continuity"
    ],
    "tags": [
      "Long Video",
      "ComfyUI",
      "Context",
      "Audio"
    ],
    "action": {
      "zh": "阅读续接教程",
      "en": "Read the chaining tutorial"
    },
    "verifiedAt": "2026-08-23",
    "stars": 697,
    "forks": 85,
    "pushedAt": "2026-08-15T21:17:20Z",
    "snapshotAt": "2026-08-23"
  },
  {
    "id": "audio-t8",
    "code": "T05",
    "category": "audio",
    "featured": false,
    "title": "MiniMax H3 Audio T8",
    "url": "https://github.com/T8mars/comfyui-minimax-h3-audio-T8",
    "kind": {
      "zh": "音频 / COMFYUI 工作流",
      "en": "AUDIO / COMFYUI WORKFLOWS"
    },
    "description": {
      "zh": "面向 ComfyUI 原生 H3 的 86 节点音画工具箱，覆盖稳定双时钟采样、音频条件、混音、裁切与预检，并提供长视频、语音、关键帧和来源音画重绘等实验路线。",
      "en": "An 86-node native ComfyUI H3 audio-video suite covering stable dual-clock sampling, audio conditioning, mixing, trimming, and preflight, plus experimental long-video, speech, keyframe, and source-AV paths."
    },
    "audience": {
      "zh": "适合需要精细控制 H3 原生声音、对白、混音或音画时间线的进阶用户。",
      "en": "For advanced users who need finer control over H3 native sound, dialogue, mixing, or audio-video timing."
    },
    "steps": {
      "zh": [
        "将项目放入 ComfyUI/custom_nodes/minimax-h3-audio-T8；稳定基础节点没有额外 pip 依赖。",
        "先从 Audio Conditioning、Preflight、Dual-Clock Sampler、AV Decode 与 Output Trim 的稳定链路开始。",
        "长视频、语音、多关键帧和来源音画重绘均标为实验能力，应按仓库验证记录逐项启用。"
      ],
      "en": [
        "Place the project in ComfyUI/custom_nodes/minimax-h3-audio-T8; the stable base nodes add no pip dependencies.",
        "Begin with the stable Audio Conditioning, Preflight, Dual-Clock Sampler, AV Decode, and Output Trim path.",
        "Long-video, speech, multi-keyframe, and source-AV paths are experimental and should be enabled one at a time against the repository's validation notes."
      ]
    },
    "facts": [
      "86 Nodes",
      "Dual Clock",
      "Stable + Experimental"
    ],
    "tags": [
      "Audio",
      "ComfyUI",
      "Mixing",
      "Ref2VA"
    ],
    "action": {
      "zh": "打开音画节点文档",
      "en": "Open the audio-video node docs"
    },
    "verifiedAt": "2026-08-23",
    "stars": 788,
    "forks": 49,
    "pushedAt": "2026-08-22T11:55:21Z",
    "snapshotAt": "2026-08-23"
  },
  {
    "id": "aimixer-h3-director",
    "code": "T06",
    "category": "workflow",
    "featured": false,
    "title": "ComfyUI MiniMax H3 Director",
    "url": "https://github.com/AIMixer/ComfyUI_MiniMaxH3_Director",
    "kind": {
      "zh": "导演工作流 / 多段时间线",
      "en": "DIRECTOR / MULTI-SHOT TIMELINE"
    },
    "description": {
      "zh": "把 H3 的分段计划、条件编码、采样、音画解码和导出整合成一套 ComfyUI 导演台。覆盖 T2V、FL2V、R2V、V2V 与 RV2V，并支持时间线、选择运行、段间引导和二次精修。",
      "en": "A ComfyUI director that combines H3 shot planning, conditioning, sampling, audio-video decoding, and export. It covers T2V, FL2V, R2V, V2V, and RV2V with timelines, selective runs, inter-shot guidance, and optional refinement."
    },
    "audience": {
      "zh": "适合需要分镜、批量生成、视频换人或逐段修改长内容的 ComfyUI 创作者。",
      "en": "For ComfyUI creators who need storyboards, batch generation, subject replacement, or shot-by-shot editing of longer work."
    },
    "steps": {
      "zh": [
        "确认 ComfyUI 0.30.0 以上并已能加载官方 H3 节点，再通过 Git URL 或 custom_nodes 安装插件与 requirements。",
        "按任务准备 FL2VA 或 Ref2VA 权重、Qwen3-VL 文本编码器以及视频和音频 VAE。",
        "导入仓库示例，先用 5 秒单段测试；确认后再添加素材组、时间线与可选 Refine 二采。"
      ],
      "en": [
        "Confirm ComfyUI 0.30.0 or newer can load the official H3 nodes, then install the plugin and its requirements through a Git URL or custom_nodes.",
        "Prepare FL2VA or Ref2VA weights for the task, plus the Qwen3-VL text encoder and both video and audio VAEs.",
        "Import a bundled example and test one five-second shot before adding media groups, a timeline, and optional Refine passes."
      ]
    },
    "facts": [
      "Multi-shot Timeline",
      "6 Task Modes",
      "Segment Refine"
    ],
    "tags": [
      "ComfyUI",
      "Director",
      "V2V",
      "Storyboards"
    ],
    "action": {
      "zh": "打开导演台插件",
      "en": "Open the director plugin"
    },
    "verifiedAt": "2026-08-23",
    "stars": 774,
    "forks": 81,
    "pushedAt": "2026-08-21T06:31:07Z",
    "snapshotAt": "2026-08-23"
  },
  {
    "id": "huangserva-director-workflows",
    "code": "T07",
    "category": "workflow",
    "featured": false,
    "title": "MiniMax H3 Director Workflow Pack",
    "url": "https://github.com/huangserva/ComfyUI_MiniMaxH3_Director",
    "kind": {
      "zh": "现成模板 / 5 套工作流",
      "en": "READY-MADE / 5 WORKFLOWS"
    },
    "description": {
      "zh": "一套便于下载和复现的 Director 工作流副本，提供 T2V、FL2V、R2V、V2V 与 RV2V 五份 JSON。它依赖 AIMixer 上游插件，不是另一套独立推理引擎。",
      "en": "A reproduction-oriented pack of five Director JSON workflows for T2V, FL2V, R2V, V2V, and RV2V. It depends on the upstream AIMixer plugin and is not a separate inference engine."
    },
    "audience": {
      "zh": "适合已经装好 Director，希望直接拖入模板检查接线和模型目录的用户。",
      "en": "For users who already installed Director and want importable templates for checking wiring and model placement."
    },
    "steps": {
      "zh": [
        "先安装 AIMixer 的 ComfyUI MiniMax H3 Director 上游插件及其依赖。",
        "把 example_workflows 中对应任务的 JSON 拖进 ComfyUI，并按 README 放置 FL2VA/Ref2VA、CLIP 和双 VAE。",
        "先复现 5 秒固定素材测试；R2V、V2V 和 RV2V 是该仓库明确在 4090 环境验证过的路线。"
      ],
      "en": [
        "Install the upstream AIMixer ComfyUI MiniMax H3 Director plugin and its dependencies first.",
        "Drag the task-specific JSON from example_workflows into ComfyUI and place FL2VA or Ref2VA, CLIP, and both VAEs as documented.",
        "Reproduce a fixed five-second test first; R2V, V2V, and RV2V are the routes explicitly verified in the repository's 4090 environment."
      ]
    },
    "facts": [
      "5 Importable JSONs",
      "4090-checked Ref2VA",
      "Upstream Required"
    ],
    "tags": [
      "ComfyUI",
      "Workflow Pack",
      "Director",
      "RV2V"
    ],
    "action": {
      "zh": "下载工作流模板",
      "en": "Download workflow templates"
    },
    "verifiedAt": "2026-08-23",
    "stars": 722,
    "forks": 73,
    "pushedAt": "2026-08-04T10:45:16Z",
    "snapshotAt": "2026-08-23"
  },
  {
    "id": "spectrum-h3",
    "code": "T08",
    "category": "acceleration",
    "featured": false,
    "title": "ComfyUI Spectrum MiniMax H3",
    "url": "https://github.com/xmarre/ComfyUI-Spectrum-MiniMax-H3",
    "kind": {
      "zh": "加速 / 隐藏状态预测",
      "en": "ACCELERATION / HIDDEN-STATE FORECAST"
    },
    "description": {
      "zh": "通过预测 H3 目标音视频行的隐藏状态，跳过部分昂贵的 Transformer 计算，同时保留原生输出头、解码和保存链路。默认 20 步路径通常变成 11 次真实计算加 9 次预测。",
      "en": "Forecasts hidden states for H3 target audio-video rows to skip selected expensive transformer evaluations while keeping the native output head, decode, and save path. A default 20-step run commonly becomes 11 actual evaluations plus nine forecasts."
    },
    "audience": {
      "zh": "适合已经稳定运行原生 H3，希望在固定素材上严谨测试速度与质量取舍的用户。",
      "en": "For users with a stable native H3 setup who want controlled speed-versus-quality testing on fixed inputs."
    },
    "steps": {
      "zh": [
        "通过 ComfyUI Manager 安装，或把仓库克隆到 custom_nodes 后重启。",
        "按模型加载器 → LoRA/补丁 → Sigma Shift → Spectrum Apply → 采样器的顺序接线，先保留默认参数。",
        "用相同 seed、提示词、模型、素材和采样器做开关 A/B；不要在同一模型分支叠加 EasyCache 或 LazyCache。"
      ],
      "en": [
        "Install through ComfyUI Manager or clone the repository into custom_nodes, then restart.",
        "Wire model loader to LoRA or patches, Sigma Shift, Spectrum Apply, and the sampler in that order, keeping defaults first.",
        "Run enabled-versus-disabled A/B tests with the same seed, prompt, model, media, and sampler; do not stack EasyCache or LazyCache on the same model branch."
      ]
    },
    "facts": [
      "11 Actual + 9 Forecasts",
      "T2VA · FL2VA · Ref2VA",
      "Fail-closed"
    ],
    "tags": [
      "ComfyUI",
      "Acceleration",
      "Spectrum",
      "A/B Testing"
    ],
    "action": {
      "zh": "阅读 Spectrum 配置",
      "en": "Read Spectrum setup"
    },
    "verifiedAt": "2026-08-23",
    "stars": 555,
    "forks": 29,
    "pushedAt": "2026-08-22T09:15:32Z",
    "snapshotAt": "2026-08-23"
  },
  {
    "id": "minimax-h3-easy",
    "code": "T09",
    "category": "workflow",
    "featured": false,
    "title": "ComfyUI MiniMax H3 Easy",
    "url": "https://github.com/nkxx188/ComfyUI-MiniMaxH3-Easy",
    "kind": {
      "zh": "简化工作流 / 统一素材输入",
      "en": "EASIER WORKFLOW / UNIFIED MEDIA"
    },
    "description": {
      "zh": "把图片、视频和音频统一到一个 Media 输入，提供 @ 素材引用、对白块、原始 Prompt 视图和多后端 Prompt 优化，并用一组节点覆盖文字、首尾帧与全参考模式。",
      "en": "Combines images, videos, and audio in one Media input with @ references, dialogue blocks, raw-prompt inspection, multi-provider prompt optimization, and a compact node set spanning text, keyframe, and full-reference modes."
    },
    "audience": {
      "zh": "适合觉得官方 H3 节点接线复杂，希望用更少节点管理多模态素材和提示词的用户。",
      "en": "For users who find the official H3 graph too complex and want fewer nodes for multimodal media and prompt control."
    },
    "steps": {
      "zh": [
        "安装插件后，在 Easy Loader 中选择 FL2VA、Ref2VA、Qwen3-VL、视频 VAE 和音频 VAE。",
        "把图片、视频与音频接到统一 Media 端口，在编辑器中用 @ 选择素材、用 # 创建对白块。",
        "先关闭外部 Prompt 优化复现基础工作流；需要时再配置兼容 API，并检查发送素材的格式与大小限制。"
      ],
      "en": [
        "After installation, select FL2VA, Ref2VA, Qwen3-VL, video VAE, and audio VAE in Easy Loader.",
        "Connect images, videos, and audio to the unified Media port, then use @ for media references and # for dialogue blocks.",
        "Reproduce the base workflow with external prompt optimization off, then configure a compatible API only if needed and review media-format limits."
      ]
    },
    "facts": [
      "One Media Port",
      "@ References",
      "Prompt Guides"
    ],
    "tags": [
      "ComfyUI",
      "Easy Workflow",
      "Multimodal",
      "Prompt Editor"
    ],
    "action": {
      "zh": "打开简化工作流",
      "en": "Open the easier workflow"
    },
    "verifiedAt": "2026-08-23",
    "stars": 521,
    "forks": 39,
    "pushedAt": "2026-08-22T03:29:14Z",
    "snapshotAt": "2026-08-23"
  },
  {
    "id": "h3-finetuning",
    "code": "T10",
    "category": "training",
    "featured": false,
    "title": "MiniMax H3 FineTuning",
    "url": "https://github.com/IAmIronMan42/MiniMax-H3-FineTuning",
    "kind": {
      "zh": "训练 / LORA + 多 GPU",
      "en": "TRAINING / LORA + MULTI-GPU"
    },
    "description": {
      "zh": "补齐官方未提供训练器的空白：基于官方 Diffusers 集成实现 H3 监督式 rectified-flow 训练、视频与立体声音频 latent 缓存、LoRA 和 ZeRO-3 多 GPU 路线。",
      "en": "Fills the trainer gap left by the official release with supervised rectified-flow training on the official Diffusers integration, cached video and stereo-audio latents, LoRA, and ZeRO-3 multi-GPU paths."
    },
    "audience": {
      "zh": "适合有训练数据和高显存 GPU，准备研究角色、风格或专用能力微调的开发者。",
      "en": "For developers with training data and high-memory GPUs who want to research character, style, or domain-specific fine-tuning."
    },
    "steps": {
      "zh": [
        "先阅读 FIXES.md 与模型许可；该路线面向研究和训练环境，不是普通消费级显卡的一键方案。",
        "用 validate_manifest 检查数据清单，再通过 prepare_cache.py 离线缓存文字、视频和可选真实音频 latent。",
        "先单卡 heads 模式做 10 步 smoke test，确认损失方向正确后再进入 LoRA 与多 GPU ZeRO-3。"
      ],
      "en": [
        "Read FIXES.md and the model license first; this is a research and training path, not a one-click consumer-GPU setup.",
        "Validate the data manifest, then cache text, video, and optional real-audio latents offline with prepare_cache.py.",
        "Run a ten-step single-GPU heads smoke test before moving to LoRA and multi-GPU ZeRO-3 training."
      ]
    },
    "facts": [
      "Rectified-flow Trainer",
      "LoRA + ZeRO-3",
      "Audio in Loss"
    ],
    "tags": [
      "Fine-tuning",
      "Training",
      "LoRA",
      "Multi-GPU"
    ],
    "action": {
      "zh": "阅读微调文档",
      "en": "Read the fine-tuning guide"
    },
    "verifiedAt": "2026-08-23",
    "stars": 66,
    "forks": 7,
    "pushedAt": "2026-08-10T07:06:00Z",
    "snapshotAt": "2026-08-23"
  },
  {
    "id": "modeltc-h3-turbo",
    "code": "T11",
    "category": "acceleration",
    "featured": false,
    "title": "ModelTC MiniMax H3 Turbo",
    "url": "https://github.com/ModelTC/Minimax-H3-Turbo",
    "kind": {
      "zh": "蒸馏加速 / 4–8 NFE",
      "en": "DISTILLED SPEED / 4–8 NFE"
    },
    "description": {
      "zh": "提供 FL2VA 与 Ref2VA 的 4 步/8 步 Turbo LoRA、Diffusers 批量推理脚本和可直接导入的 ComfyUI 工作流，覆盖文字、首帧与多参考生成。",
      "en": "Provides four- and eight-step Turbo LoRAs for FL2VA and Ref2VA, Diffusers batch-inference scripts, and importable ComfyUI workflows for text, first-frame, and multimodal reference generation."
    },
    "audience": {
      "zh": "适合需要比较不同 Turbo 实现，或希望同时使用 Diffusers 与 ComfyUI 的用户。",
      "en": "For users comparing Turbo implementations or needing both Diffusers and ComfyUI routes."
    },
    "steps": {
      "zh": [
        "先按任务选择 FL2VA 或 Ref2VA，以及 544p/768p、4 NFE/8 NFE 对应权重。",
        "Diffusers 用户按独立安装文档准备环境；ComfyUI 用户直接导入仓库对应 T2VA、I2VA 或 Ref2VA JSON。",
        "保持参考图宽高比，并优先使用训练匹配的 reference-resize-mode=match，再与原生模型固定素材对比。"
      ],
      "en": [
        "Choose FL2VA or Ref2VA first, then select the matching 544p or 768p and four- or eight-NFE checkpoint.",
        "Follow the dedicated setup for Diffusers, or import the matching T2VA, I2VA, or Ref2VA JSON in ComfyUI.",
        "Preserve reference-image aspect ratio and start with the training-matched reference-resize-mode=match before comparing against the native model."
      ]
    },
    "facts": [
      "FL2VA + Ref2VA",
      "4 / 8 NFE",
      "Diffusers + ComfyUI"
    ],
    "tags": [
      "Turbo",
      "Distillation",
      "Diffusers",
      "ComfyUI"
    ],
    "action": {
      "zh": "查看 Turbo 模型与示例",
      "en": "View Turbo models and examples"
    },
    "verifiedAt": "2026-08-23",
    "stars": 303,
    "forks": 12,
    "pushedAt": "2026-08-15T05:38:49Z",
    "snapshotAt": "2026-08-23"
  },
  {
    "id": "awesome-h3-resources",
    "code": "T12",
    "category": "resources",
    "featured": false,
    "title": "Awesome MiniMax H3 Resources",
    "url": "https://github.com/wildminder/awesome-minimax-H3",
    "kind": {
      "zh": "资源导航 / 模型 + 工具",
      "en": "RESOURCE MAP / MODELS + TOOLS"
    },
    "description": {
      "zh": "持续整理 H3 官方与社区生态，包括原始和量化权重、文本编码器、VAE、Turbo 与风格 LoRA、ComfyUI 节点、教程和可导入工作流。",
      "en": "A maintained map of the official and community H3 ecosystem: base and quantized weights, text encoders, VAEs, Turbo and style LoRAs, ComfyUI nodes, tutorials, and importable workflows."
    },
    "audience": {
      "zh": "适合已经知道要解决什么问题，需要快速查找对应模型、量化版本或节点的用户。",
      "en": "For users who know the problem they need to solve and want to locate a matching model, quantization, or node quickly."
    },
    "steps": {
      "zh": [
        "先按硬件确定原始、剪枝或量化权重，不要因为文件更小就默认质量与兼容性相同。",
        "再按任务查看 Turbo、LoRA、ComfyUI Nodes 或 Workflow，不要一次叠加所有优化。",
        "下载前回到每个原项目确认许可、依赖、最近更新和已验证环境。"
      ],
      "en": [
        "Choose full, pruned, or quantized weights for your hardware first; smaller files do not imply identical quality or compatibility.",
        "Then browse Turbo, LoRA, ComfyUI Nodes, or Workflows for the task instead of stacking every optimization at once.",
        "Before downloading, return to each original project to verify its license, dependencies, latest update, and tested environment."
      ]
    },
    "facts": [
      "Models + Quants",
      "LoRA + Nodes",
      "Guides + Workflows"
    ],
    "tags": [
      "Awesome List",
      "Models",
      "ComfyUI",
      "Resources"
    ],
    "action": {
      "zh": "浏览 H3 资源地图",
      "en": "Browse the H3 resource map"
    },
    "verifiedAt": "2026-08-23",
    "stars": 352,
    "forks": 15,
    "pushedAt": "2026-08-20T09:35:21Z",
    "snapshotAt": "2026-08-23"
  },
  {
    "id": "comfyui-wiki",
    "code": "T14",
    "category": "resources",
    "featured": false,
    "title": "ComfyUI Wiki",
    "url": "https://github.com/602387193c/ComfyUI-wiki",
    "kind": {
      "zh": "基础知识 / COMFYUI",
      "en": "FOUNDATIONS / COMFYUI"
    },
    "description": {
      "zh": "覆盖 ComfyUI 安装、节点、模型、工作流与故障排查的中英双语知识库。它不是 H3 专用项目，但适合补齐 H3 教程默认读者已经掌握的 ComfyUI 基础。",
      "en": "A bilingual knowledge base for ComfyUI setup, nodes, models, workflows, and troubleshooting. It is not H3-specific, but fills the ComfyUI fundamentals assumed by many H3 guides."
    },
    "audience": {
      "zh": "适合第一次接触 ComfyUI，或遇到节点、模型路径和工作流导入问题的 H3 用户。",
      "en": "For first-time ComfyUI users and H3 users debugging nodes, model paths, or workflow imports."
    },
    "steps": {
      "zh": [
        "先从安装和界面基础开始，确认 ComfyUI 能独立启动并保存普通工作流。",
        "再学习模型目录、custom_nodes 与工作流 JSON 的导入方式，最后进入 H3 专用教程。",
        "遇到 H3 错误时先区分 ComfyUI 通用问题与 H3 节点问题，再回到对应项目 README 核验版本。"
      ],
      "en": [
        "Start with installation and interface basics until ComfyUI launches and saves a basic workflow reliably.",
        "Learn model paths, custom_nodes, and workflow JSON imports before opening an H3-specific guide.",
        "Separate generic ComfyUI failures from H3-node failures, then verify versions in the relevant project README."
      ]
    },
    "facts": [
      "Bilingual Docs",
      "Nodes + Models",
      "Workflow Basics"
    ],
    "tags": [
      "ComfyUI",
      "Getting Started",
      "Troubleshooting",
      "Documentation"
    ],
    "requirements": {
      "zh": "无需先安装 H3；适合作为 ComfyUI 新手前置阅读。",
      "en": "No H3 installation required; use it as prerequisite reading for ComfyUI beginners."
    },
    "strengths": {
      "zh": [
        "中文基础内容",
        "通用故障排查",
        "工作流与节点概念"
      ],
      "en": [
        "Bilingual fundamentals",
        "General troubleshooting",
        "Workflow and node concepts"
      ]
    },
    "limitations": {
      "zh": [
        "不是 H3 专用教程",
        "具体 H3 命令仍须回到对应仓库核验"
      ],
      "en": [
        "Not H3-specific",
        "H3 commands still require verification in their source repository"
      ]
    },
    "action": {
      "zh": "补齐 ComfyUI 基础",
      "en": "Learn ComfyUI fundamentals"
    },
    "verifiedAt": "2026-08-23",
    "stars": 1150,
    "forks": 166,
    "pushedAt": "2026-08-21T08:35:43Z",
    "snapshotAt": "2026-08-23"
  },
  {
    "id": "openmontage",
    "code": "T15",
    "category": "workflow",
    "featured": false,
    "title": "OpenMontage",
    "url": "https://github.com/calesthio/OpenMontage",
    "kind": {
      "zh": "AGENT 生产系统 / 质量门禁",
      "en": "AGENT PRODUCTION / QUALITY GATES"
    },
    "description": {
      "zh": "开源 Agent 视频生产系统，组织分镜、资产、剪辑、质量门禁与多条制作流水线。它不直接替代 H3 推理，而是提供把 H3 接入完整生产流程时可借鉴的工程结构。",
      "en": "An open-source agentic video-production system spanning storyboards, assets, editing, quality gates, and multiple pipelines. It does not replace H3 inference; it is an architectural reference for putting H3 inside a production system."
    },
    "audience": {
      "zh": "适合已经能生成 H3 片段，下一步要做自动分镜、批量生产、剪辑和质量检查的团队或高级创作者。",
      "en": "For teams and advanced creators who can already render H3 clips and now need automated planning, batch production, editing, and quality checks."
    },
    "steps": {
      "zh": [
        "先在站内跑通 H3 单镜头与素材管理，不要把 OpenMontage 当作 H3 安装器。",
        "阅读它的生产流水线、技能与质量门禁结构，选择一个最小流程映射 H3 输出、FFmpeg 和剪辑步骤。",
        "用固定样片验证素材命名、失败重试、人工审核点与最终导出，再逐步扩大自动化范围。"
      ],
      "en": [
        "Get one H3 shot and asset handling working first; do not treat OpenMontage as an H3 installer.",
        "Study its pipelines, skills, and quality-gate structure, then map one minimal flow to H3 output, FFmpeg, and editing.",
        "Use a fixed sample to verify naming, retries, human review gates, and export before expanding automation."
      ]
    },
    "facts": [
      "12 Pipelines",
      "100+ Tools",
      "700+ Skills + Knowledge Files"
    ],
    "tags": [
      "Agent",
      "Video Production",
      "Quality Gates",
      "Pipeline"
    ],
    "requirements": {
      "zh": "先有可工作的 H3 生成链路；适合阅读 Python 与 Agent 工作流的用户。",
      "en": "Requires a working H3 generation path and comfort with Python and agent workflows."
    },
    "strengths": {
      "zh": [
        "完整生产架构",
        "质量门禁",
        "多 Agent 与工具组织"
      ],
      "en": [
        "End-to-end production architecture",
        "Quality gates",
        "Agent and tool organization"
      ]
    },
    "limitations": {
      "zh": [
        "不是 H3 专用项目",
        "AGPL-3.0 许可需单独评估",
        "接入 H3 需要自行实现适配层"
      ],
      "en": [
        "Not H3-specific",
        "AGPL-3.0 requires separate review",
        "H3 integration needs a custom adapter"
      ]
    },
    "action": {
      "zh": "研究 Agent 视频流水线",
      "en": "Study the agentic video pipeline"
    },
    "verifiedAt": "2026-08-23",
    "stars": 49499,
    "forks": 6216,
    "pushedAt": "2026-08-22T18:22:24Z",
    "snapshotAt": "2026-08-23"
  }
]