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!

glif - Flux Dev Jasper Dev Depth Map [Lidar Version] by araminta_k

glif

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

{
  "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"
    }
  }
}