How to Use JasperAI Depth Controlnet on Flux Dev

In this video we walk you through how to create a controlnet powered workflow, featuring flux dev. and a custom LoRA!

https://youtu.be/zMSedAiXxhQyoutu.be

Check out the example Glif here!

Step by step

1. Click Build to start a new Glif project.

2. Add an image input block.

3. Add a text input block.

4. Add a ComfyUI block.

5. Copy the provided JSON into the Comfyui block.

6. (Optional) Adjust the LoRA input node in the Comfyui block.

7. (Optional) Adjust the controlnet strength nodes in the Comfyui block.

8. Test and publish!

ComfyUI JSON

Insert this into the JSON field in the Comfyui block.

{
  "3": {
    "inputs": {
      "seed": 376385039400309,
      "steps": 28,
      "cfg": 1,
      "sampler_name": "dpmpp_2m",
      "scheduler": "beta",
      "denoise": 1,
      "model": [
        "78",
        0
      ],
      "positive": [
        "47",
        0
      ],
      "negative": [
        "47",
        1
      ],
      "latent_image": [
        "83",
        0
      ]
    },
    "class_type": "KSampler",
    "_meta": {
      "title": "KSampler"
    }
  },
  "6": {
    "inputs": {
      "text": "{input1}, L1d4r style",
      "clip": [
        "78",
        1
      ]
    },
    "class_type": "CLIPTextEncode",
    "_meta": {
      "title": "CLIP Text Encode (Prompt)"
    }
  },
  "7": {
    "inputs": {
      "text": "",
      "clip": [
        "78",
        1
      ]
    },
    "class_type": "CLIPTextEncode",
    "_meta": {
      "title": "CLIP Text Encode (Prompt)"
    }
  },
  "8": {
    "inputs": {
      "samples": [
        "3",
        0
      ],
      "vae": [
        "27",
        0
      ]
    },
    "class_type": "VAEDecode",
    "_meta": {
      "title": "VAE Decode"
    }
  },
  "9": {
    "inputs": {
      "filename_prefix": "ComfyUI",
      "images": [
        "8",
        0
      ]
    },
    "class_type": "SaveImage",
    "_meta": {
      "title": "Save Image"
    }
  },
  "11": {
    "inputs": {
      "guidance": 4,
      "conditioning": [
        "6",
        0
      ]
    },
    "class_type": "FluxGuidance",
    "_meta": {
      "title": "FluxGuidance"
    }
  },
  "27": {
    "inputs": {
      "vae_name": "ae.sft"
    },
    "class_type": "VAELoader",
    "_meta": {
      "title": "Load VAE"
    }
  },
  "30": {
    "inputs": {
      "image": "{image-input1}"
    },
    "class_type": "LoadImage",
    "_meta": {
      "title": "Load Image"
    }
  },
  "31": {
    "inputs": {
      "preprocessor": "Zoe-DepthMapPreprocessor",
      "resolution": 1024,
      "image": [
        "75",
        0
      ]
    },
    "class_type": "AIO_Preprocessor",
    "_meta": {
      "title": "AIO Aux Preprocessor"
    }
  },
  "47": {
    "inputs": {
      "strength": 0.6,
      "start_percent": 0,
      "end_percent": 0.3,
      "positive": [
        "11",
        0
      ],
      "negative": [
        "7",
        0
      ],
      "control_net": [
        "48",
        0
      ],
      "image": [
        "31",
        0
      ],
      "vae": [
        "27",
        0
      ]
    },
    "class_type": "ControlNetApplyAdvanced",
    "_meta": {
      "title": "Apply ControlNet"
    }
  },
  "48": {
    "inputs": {
      "control_net_name": "flux/jasperai_depth_flux_dev.safetensors"
    },
    "class_type": "ControlNetLoader",
    "_meta": {
      "title": "Load ControlNet Model"
    }
  },
  "72": {
    "inputs": {
      "unet_name": "flux1-dev-fp8.safetensors",
      "weight_dtype": "default"
    },
    "class_type": "UNETLoader",
    "_meta": {
      "title": "Load Diffusion Model"
    }
  },
  "73": {
    "inputs": {
      "clip_name1": "t5xxl_fp8_e4m3fn.safetensors",
      "clip_name2": "clip_l.safetensors",
      "type": "flux"
    },
    "class_type": "DualCLIPLoader",
    "_meta": {
      "title": "DualCLIPLoader"
    }
  },
  "75": {
    "inputs": {
      "width": 1024,
      "height": 1024,
      "upscale_method": "nearest-exact",
      "keep_proportion": false,
      "divisible_by": 2,
      "width_input": [
        "79",
        0
      ],
      "height_input": [
        "79",
        1
      ],
      "crop": "disabled",
      "image": [
        "30",
        0
      ]
    },
    "class_type": "ImageResizeKJ",
    "_meta": {
      "title": "Resize Image"
    }
  },
  "78": {
    "inputs": {
      "repo_id": "glif/LiDAR-Vision",
      "subfolder": "",
      "filename": "Lidar.safetensors",
      "strength_model": 1,
      "strength_clip": 1,
      "model": [
        "72",
        0
      ],
      "clip": [
        "73",
        0
      ]
    },
    "class_type": "HFHubLoraLoader",
    "_meta": {
      "title": "Load HF Lora"
    }
  },
  "79": {
    "inputs": {
      "image": [
        "30",
        0
      ]
    },
    "class_type": "SDXLAspectRatio",
    "_meta": {
      "title": "Image to SDXL compatible WH"
    }
  },
  "83": {
    "inputs": {
      "width": [
        "79",
        0
      ],
      "height": [
        "79",
        1
      ],
      "batch_size": 1
    },
    "class_type": "EmptyLatentImage",
    "_meta": {
      "title": "Empty Latent Image"
    }
  }
}