{
  "job": "follow",
  "want": "layout",
  "rank": 2,
  "short": "its layout",
  "title": {
    "zh": "照着构图画",
    "en": "Follow a layout"
  },
  "about": {
    "zh": "读出参考图的深度，照着它的构图画。",
    "en": "Reads a picture's depth and draws to its layout."
  },
  "source": {
    "zh": "参考工作流的「底图控制网」组（作者默认用深度）",
    "en": "The reference workflow's ControlNet group (depth, its default)"
  },
  "packs": {
    "DepthAnythingV2Preprocessor": "comfyui_controlnet_aux"
  },
  "takes": "reference",
  "control": "depth",
  "nodes": {
    "reference": {
      "class_type": "LoadImage",
      "inputs": {
        "image": "$image"
      }
    },
    "depth": {
      "class_type": "DepthAnythingV2Preprocessor",
      "inputs": {
        "image": [
          "reference",
          0
        ],
        "ckpt_name": "depth_anything_v2_vitl.pth",
        "resolution": 1024
      }
    },
    "controlnet": {
      "class_type": "ControlNetLoader",
      "inputs": {
        "control_net_name": "$controlnet"
      }
    },
    "steer": {
      "class_type": "ControlNetApplyAdvanced",
      "inputs": {
        "positive": [
          "$sampler.positive",
          "*"
        ],
        "negative": [
          "$sampler.negative",
          "*"
        ],
        "control_net": [
          "controlnet",
          0
        ],
        "image": [
          "depth",
          0
        ],
        "vae": [
          "$decode.vae",
          "*"
        ],
        "strength": 0.7,
        "start_percent": 0.0,
        "end_percent": 0.7
      },
      "wire_to": "$sampler"
    },
    "look": {
      "class_type": "PreviewImage",
      "inputs": {
        "images": [
          "depth",
          0
        ]
      }
    }
  },
  "after": "run_workflow: the picture now keeps that layout (strength 0.7, for the first 70% of the steps; lower either to let the model change more). The prompt still says what is drawn. Its depth map is among the run's previews: if it is empty or wrong (a crowded or very stylised picture), the picture is too hard to read.",
  "variants": {
    "anima": {
      "packs": {
        "DepthAnythingV2Preprocessor": "comfyui_controlnet_aux",
        "AnimaLLLiteApply_sdscripts": "ComfyUI-Anima-LLLite"
      },
      "control": null,
      "lllite": "depth",
      "nodes": {
        "reference": {
          "class_type": "LoadImage",
          "inputs": {
            "image": "$image"
          }
        },
        "depth": {
          "class_type": "DepthAnythingV2Preprocessor",
          "inputs": {
            "image": [
              "reference",
              0
            ],
            "ckpt_name": "depth_anything_v2_vitl.pth",
            "resolution": 1024
          }
        },
        "steer": {
          "class_type": "AnimaLLLiteApply_sdscripts",
          "inputs": {
            "model": [
              "$sampler.model",
              "*"
            ],
            "lllite_name": "$lllite",
            "image": [
              "depth",
              0
            ],
            "strength": 1.0,
            "start_percent": 0.0,
            "end_percent": 1.0,
            "preserve_wrapper": true
          },
          "wire_to": "$sampler"
        },
        "look": {
          "class_type": "PreviewImage",
          "inputs": {
            "images": [
              "depth",
              0
            ]
          }
        }
      },
      "after": "On this Anima model an Anima ControlNet-LLLite steers it, more gently than an SDXL ControlNet: say in the prompt what the picture shows (how many people, what they do), or the prompt wins. Strength 1.0 for all the steps; up to 1.5 holds it closer. run_workflow. Its depth map is among the run's previews: if it is empty or wrong (a crowded or very stylised picture), the picture is too hard to read."
    }
  },
  "models": [
    "xinsir_depth_sdxl",
    "union_promax_sdxl",
    "anima_lllite_depth"
  ],
  "tested": {
    "gpu": "RTX 4050 Laptop",
    "vram_gb": 6,
    "date": "2026-10-27",
    "runs": [
      {
        "model": "Anima",
        "size": "1216×832",
        "seconds": 115
      }
    ]
  }
}