lora_sdxl.json

{
  "Checkpoint_loader": {
    "inputs": {
      "ckpt_name": "{{ckpt_name}}"
    },
    "class_type": "CheckpointLoaderSimple",
    "_meta": {
      "title": "Load Checkpoint"
    }
  },
  "Sampler": {
    "inputs": {
      "seed": 908820999791964,
      "steps": "{{steps}}",
      "cfg": "{{cfg}}",
      "sampler_name": "dpmpp_sde_gpu",
      "scheduler": "karras",
      "denoise": "{{denoise}}",
      "model": [
        "Lora_loader",
        0
      ],
      "positive": [
        "Prompt",
        0
      ],
      "negative": [
        "32",
        0
      ],
      "latent_image": [
        "34",
        0
      ]
    },
    "class_type": "KSampler",
    "_meta": {
      "title": "KSampler"
    }
  },
  "Prompt": {
    "inputs": {
      "text": "{{prompt}}",
      "clip": [
        "Lora_loader",
        1
      ]
    },
    "class_type": "CLIPTextEncode",
    "_meta": {
      "title": "CLIP Text Encode (Prompt)"
    }
  },
  "11": {
    "inputs": {
      "samples": [
        "Sampler",
        0
      ],
      "vae": [
        "Checkpoint_loader",
        2
      ]
    },
    "class_type": "VAEDecode",
    "_meta": {
      "title": "VAE Decode"
    }
  },
  "31": {
    "inputs": {
      "images": [
        "11",
        0
      ]
    },
    "class_type": "PreviewImage",
    "_meta": {
      "title": "Preview Image"
    }
  },
  "32": {
    "inputs": {
      "text": "",
      "clip": [
        "Lora_loader",
        1
      ]
    },
    "class_type": "CLIPTextEncode",
    "_meta": {
      "title": "CLIP Text Encode (Prompt)"
    }
  },
  "Image_loader": {
    "inputs": {
      "image": ""
    },
    "class_type": "ETN_LoadImageBase64",
    "_meta": {
      "title": "Load Image (Base64)"
    }
  },
  "34": {
    "inputs": {
      "pixels": [
        "Image_loader",
        0
      ],
      "vae": [
        "Checkpoint_loader",
        2
      ]
    },
    "class_type": "VAEEncode",
    "_meta": {
      "title": "VAE Encode"
    }
  },
  "Lora_loader": {
    "inputs": {
      "lora_name": "",
      "strength_model": 1,
      "strength_clip": 1,
      "model": [
        "Checkpoint_loader",
        0
      ],
      "clip": [
        "Checkpoint_loader",
        1
      ]
    },
    "class_type": "LoraLoader",
    "_meta": {
      "title": "Load LoRA"
    }
  }
}