ControlNet — Pose / Edge Guided controlnet

Steer generation with a control image (pose, depth, canny edges). Load a ControlNet model, apply it to the conditioning, and the output follows your control image structure.

Models: control_v11p_sd15_openpose.pth (or canny/depth), any SD1.5 checkpoint · 10 nodes

{
  "1": {
    "class_type": "LoadImage",
    "inputs": {
      "image": "control-pose.png"
    }
  },
  "3": {
    "class_type": "KSampler",
    "inputs": {
      "seed": 0,
      "steps": 20,
      "cfg": 7,
      "sampler_name": "euler",
      "scheduler": "normal",
      "denoise": 1,
      "model": [
        "4",
        0
      ],
      "positive": [
        "14",
        0
      ],
      "negative": [
        "7",
        0
      ],
      "latent_image": [
        "5",
        0
      ]
    }
  },
  "4": {
    "class_type": "CheckpointLoaderSimple",
    "inputs": {
      "ckpt_name": "v1-5-pruned-emaonly.safetensors"
    }
  },
  "5": {
    "class_type": "EmptyLatentImage",
    "inputs": {
      "width": 512,
      "height": 768,
      "batch_size": 1
    }
  },
  "6": {
    "class_type": "CLIPTextEncode",
    "inputs": {
      "text": "a robed sage standing, fine art portrait",
      "clip": [
        "4",
        1
      ]
    }
  },
  "7": {
    "class_type": "CLIPTextEncode",
    "inputs": {
      "text": "blurry, low quality",
      "clip": [
        "4",
        1
      ]
    }
  },
  "8": {
    "class_type": "VAEDecode",
    "inputs": {
      "samples": [
        "3",
        0
      ],
      "vae": [
        "4",
        2
      ]
    }
  },
  "9": {
    "class_type": "SaveImage",
    "inputs": {
      "filename_prefix": "MELEK-controlnet",
      "images": [
        "8",
        0
      ]
    }
  },
  "13": {
    "class_type": "ControlNetLoader",
    "inputs": {
      "control_net_name": "control_v11p_sd15_openpose.pth"
    }
  },
  "14": {
    "class_type": "ControlNetApply",
    "inputs": {
      "conditioning": [
        "6",
        0
      ],
      "control_net": [
        "13",
        0
      ],
      "image": [
        "1",
        0
      ],
      "strength": 1
    }
  }
}