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  "last_node_id": 15,
  "last_link_id": 18,
  "nodes": [
    {
      "id": 1,
      "type": "OllamaGenerate",
      "pos": [100, 300],
      "size": [400, 200],
      "properties": {},
      "widgets_values": [
        "http://localhost:11434",
        "llama3.2",
        "You are a visual prompt engineer for AI video generation. Given a short scene description, expand it into a detailed, cinematic prompt optimized for Wan 2.2 video generation. Include: camera angle, lighting, character appearance details, environment, motion, and art style. Keep it under 200 words. Always describe motion and action. Output ONLY the enhanced prompt, nothing else.",
        "",
        0.5,
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      ],
      "title": "Ollama - Enrichissement de Prompt"
    },
    {
      "id": 2,
      "type": "CLIPLoader",
      "pos": [100, 600],
      "size": [315, 100],
      "properties": {},
      "widgets_values": [
        "umt5_xxl_fp8_e4m3fn_scaled.safetensors",
        "wan"
      ],
      "title": "Load CLIP (UMT5-XXL)"
    },
    {
      "id": 3,
      "type": "CLIPTextEncode",
      "pos": [600, 400],
      "size": [400, 150],
      "properties": {},
      "widgets_values": [""],
      "title": "CLIP Text Encode (Prompt enrichi)"
    },
    {
      "id": 4,
      "type": "CLIPTextEncode",
      "pos": [600, 600],
      "size": [400, 150],
      "properties": {},
      "widgets_values": [
        "blurry, low quality, distorted, deformed, ugly, watermark, text, logo, static, no motion, flickering, artifacts, noise, grainy"
      ],
      "title": "CLIP Text Encode (Negative)"
    },
    {
      "id": 5,
      "type": "UNETLoader",
      "pos": [100, 800],
      "size": [315, 100],
      "properties": {},
      "widgets_values": [
        "wan2.2_t2v_high_noise_14B_fp8_scaled.safetensors",
        "fp8_e4m3fn"
      ],
      "title": "Load Diffusion Model (High Noise)"
    },
    {
      "id": 6,
      "type": "UNETLoader",
      "pos": [100, 1000],
      "size": [315, 100],
      "properties": {},
      "widgets_values": [
        "wan2.2_t2v_low_noise_14B_fp8_scaled.safetensors",
        "fp8_e4m3fn"
      ],
      "title": "Load Diffusion Model (Low Noise)"
    },
    {
      "id": 7,
      "type": "VAELoader",
      "pos": [100, 1200],
      "size": [315, 100],
      "properties": {},
      "widgets_values": [
        "wan_2.1_vae.safetensors"
      ],
      "title": "Load VAE (Wan 2.1)"
    },
    {
      "id": 8,
      "type": "EmptyWanVideoLatentVideo",
      "pos": [600, 900],
      "size": [315, 150],
      "properties": {},
      "widgets_values": [
        832,
        480,
        81,
        1
      ],
      "title": "Empty Latent Video (480p, ~5s)"
    },
    {
      "id": 9,
      "type": "WanVideoMoESampler",
      "pos": [1100, 500],
      "size": [400, 350],
      "properties": {},
      "widgets_values": [
        42,
        "fixed",
        30,
        6.0,
        0.4,
        "beta",
        1.0,
        true
      ],
      "title": "Wan Video MoE Sampler"
    },
    {
      "id": 10,
      "type": "VAEDecode",
      "pos": [1600, 500],
      "size": [200, 100],
      "properties": {},
      "title": "VAE Decode"
    },
    {
      "id": 11,
      "type": "VHS_VideoCombine",
      "pos": [1900, 500],
      "size": [315, 250],
      "properties": {},
      "widgets_values": [
        24,
        0,
        "video/h264-mp4",
        false,
        true,
        "wan22_output",
        "output",
        {}
      ],
      "title": "Save Video (MP4)"
    },
    {
      "id": 12,
      "type": "Note",
      "pos": [100, 100],
      "size": [600, 150],
      "properties": {},
      "widgets_values": [
        "=== PIPELINE VIDÉO AI — Francis B. Morissette ===\n\nWorkflow Wan 2.2 T2V 14B MoE + Ollama\n\n1. Entrez votre description de scène dans le nœud texte (id:13)\n2. Ollama enrichit le prompt automatiquement\n3. Le prompt enrichi passe dans CLIP puis le sampler MoE\n4. Résolution: 832x480 (480p) | 81 frames (~5s à 24fps)\n5. Ajustez le seed pour des variations\n\nPour les codes du bâtiment: décrivez la scène technique souhaitée."
      ],
      "title": "Instructions",
      "color": "#233"
    },
    {
      "id": 13,
      "type": "PrimitiveNode",
      "pos": [100, 150],
      "size": [400, 150],
      "properties": {},
      "widgets_values": [
        "Un inspecteur en casque de construction examine une poutre en acier dans un bâtiment commercial, éclairage fluorescent, environnement de chantier"
      ],
      "title": "Description de la scène (entrée)"
    }
  ],
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    [3, 2, 0, 4, 0, "CLIP"],
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    [6, 3, 0, 9, 2, "CONDITIONING"],
    [7, 4, 0, 9, 3, "CONDITIONING"],
    [8, 8, 0, 9, 4, "LATENT"],
    [9, 9, 0, 10, 0, "LATENT"],
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    [11, 10, 0, 11, 0, "IMAGE"],
    [12, 13, 0, 1, 0, "STRING"]
  ],
  "groups": [
    {
      "title": "Scénarisation (Ollama)",
      "bounding": [80, 80, 450, 450],
      "color": "#3f789e"
    },
    {
      "title": "Encodage texte",
      "bounding": [580, 350, 450, 450],
      "color": "#2a363b"
    },
    {
      "title": "Modèles Wan 2.2",
      "bounding": [80, 750, 450, 500],
      "color": "#3b8686"
    },
    {
      "title": "Génération vidéo",
      "bounding": [1080, 450, 450, 450],
      "color": "#79bd9a"
    },
    {
      "title": "Export",
      "bounding": [1580, 450, 450, 350],
      "color": "#a59a80"
    }
  ],
  "config": {},
  "extra": {
    "ds": {
      "scale": 0.7,
      "offset": [0, 0]
    }
  },
  "version": 0.4
}