{
  "job": "picture",
  "rank": 1,
  "short": "a picture from words",
  "standalone": true,
  "title": {
    "zh": "出图",
    "en": "Make a picture"
  },
  "about": {
    "zh": "在空画布上按模型的家族搭好出图的节点：SDXL 一类是一个 checkpoint，Anima 是模型、文本编码器、VAE 三个文件；设置用验证过的那一套。",
    "en": "Builds the nodes that make a picture on an empty canvas, by the model's family: one checkpoint for SDXL and its kin, the model, text encoder and VAE files for Anima; with the tested settings."
  },
  "source": {
    "zh": "ComfyUI 的默认出图流程；Anima 的设置来自你验证过的两段放大卡的底图那一段",
    "en": "ComfyUI's default text-to-image graph; Anima's settings from the base pass of the user's tested two-pass card"
  },
  "packs": {},
  "nodes": {
    "model": {
      "class_type": "CheckpointLoaderSimple",
      "_meta": {
        "title": "Model"
      },
      "inputs": {
        "ckpt_name": "$model"
      }
    },
    "positive": {
      "class_type": "CLIPTextEncode",
      "inputs": {
        "text": "",
        "clip": [
          "model",
          1
        ]
      }
    },
    "negative": {
      "class_type": "CLIPTextEncode",
      "inputs": {
        "text": "",
        "clip": [
          "model",
          1
        ]
      }
    },
    "size": {
      "class_type": "EmptyLatentImage",
      "inputs": {
        "width": 832,
        "height": 1216,
        "batch_size": 1
      }
    },
    "sampler": {
      "class_type": "KSampler",
      "inputs": {
        "model": [
          "model",
          0
        ],
        "positive": [
          "positive",
          0
        ],
        "negative": [
          "negative",
          0
        ],
        "latent_image": [
          "size",
          0
        ],
        "steps": 28,
        "cfg": 5.5,
        "sampler_name": "euler_ancestral",
        "scheduler": "normal",
        "denoise": 1.0
      }
    },
    "decode": {
      "class_type": "VAEDecode",
      "inputs": {
        "samples": [
          "sampler",
          0
        ],
        "vae": [
          "model",
          2
        ]
      }
    },
    "save": {
      "class_type": "SaveImage",
      "inputs": {
        "images": [
          "decode",
          0
        ],
        "filename_prefix": "picture"
      }
    }
  },
  "variants": {
    "anima": {
      "files": {
        "$text_encoder": [
          "CLIPLoader",
          "clip_name",
          [
            "qwen_3_06b",
            "qwen3_06b"
          ]
        ],
        "$vae": [
          "VAELoader",
          "vae_name",
          [
            "qwenimage",
            "qwen_image"
          ]
        ]
      },
      "nodes": {
        "model": {
          "class_type": "UNETLoader",
          "_meta": {
            "title": "Model"
          },
          "inputs": {
            "unet_name": "$model",
            "weight_dtype": "default"
          }
        },
        "text_encoder": {
          "class_type": "CLIPLoader",
          "inputs": {
            "clip_name": "$text_encoder",
            "type": "stable_diffusion"
          }
        },
        "vae": {
          "class_type": "VAELoader",
          "inputs": {
            "vae_name": "$vae"
          }
        },
        "positive": {
          "class_type": "CLIPTextEncode",
          "inputs": {
            "text": "",
            "clip": [
              "text_encoder",
              0
            ]
          }
        },
        "negative": {
          "class_type": "CLIPTextEncode",
          "inputs": {
            "text": "",
            "clip": [
              "text_encoder",
              0
            ]
          }
        },
        "size": {
          "class_type": "EmptyLatentImage",
          "inputs": {
            "width": 832,
            "height": 1216,
            "batch_size": 1
          }
        },
        "sampler": {
          "class_type": "KSampler",
          "inputs": {
            "model": [
              "model",
              0
            ],
            "positive": [
              "positive",
              0
            ],
            "negative": [
              "negative",
              0
            ],
            "latent_image": [
              "size",
              0
            ],
            "steps": 35,
            "cfg": 4.4,
            "sampler_name": "dpmpp_2m_sde_gpu",
            "scheduler": "beta",
            "denoise": 1.0
          }
        },
        "decode": {
          "class_type": "VAEDecode",
          "inputs": {
            "samples": [
              "sampler",
              0
            ],
            "vae": [
              "vae",
              0
            ]
          }
        },
        "save": {
          "class_type": "SaveImage",
          "inputs": {
            "images": [
              "decode",
              0
            ],
            "filename_prefix": "picture"
          }
        }
      },
      "after": "The picture's nodes are on the canvas, on the Anima model picked (the loader titled Model), with its text encoder and VAE and the tested sampling (35 steps, dpmpp_2m_sde_gpu, beta, cfg 4.4, 832x1216). run_workflow with prompt and negative fills them in. A style LoRA the user picked: add_lora. A second pass after it (enlarge, another model): add_nodes with that use."
    }
  },
  "after": "The picture's nodes are on the canvas, on the checkpoint picked (the loader titled Model), with common SDXL settings (28 steps, euler_ancestral, cfg 5.5, 832x1216; get_model's author_examples has what the model's author used). run_workflow with prompt and negative fills them in. A style LoRA the user picked: add_lora. A second pass after it (enlarge, another model): add_nodes with that use.",
  "notes": "SDXL's values are common ones, not tested per model here; Anima's are the base pass of the user's tested two-pass card.",
  "tested": {
    "gpu": "RTX 4050 Laptop",
    "vram_gb": 6,
    "date": "2026-11-03",
    "runs": [
      {
        "model": "Anima (MiaoMiao Harem 1.5)",
        "size": "832×1216",
        "seconds": 78
      }
    ]
  }
}