DemonGatanjieu-Anomalous_Model_Browser/api/blocks/switch_midway.json

{
  "job": "refine",
  "want": "midway",
  "rank": 7,
  "short": "switch mid-way",
  "title": {
    "zh": "半途换模型接着画",
    "en": "Switch models mid-way"
  },
  "about": {
    "zh": "前面的步数用原模型定下构图，后面的步数换另一个模型接着画完，画风和细节跟着它走。",
    "en": "The first steps keep the model's composition, then another model draws the rest, with its look and detail."
  },
  "source": {
    "zh": "复现 Aaalice 双模型路线时用的接力（两个 KSampler Advanced 分段），本机三组对比验证过",
    "en": "The relay used to reproduce the Aaalice two-model route (two KSampler Advanced parts), checked in three local comparisons"
  },
  "packs": {},
  "nodes": {
    "second_model": {
      "class_type": "CheckpointLoaderSimple",
      "like": "$loader",
      "inputs": {}
    },
    "first": {
      "class_type": "KSamplerAdvanced",
      "like": "$sampler",
      "inputs": {
        "model": [
          "$sampler.model",
          "*"
        ],
        "positive": [
          "$sampler.positive",
          "*"
        ],
        "negative": [
          "$sampler.negative",
          "*"
        ],
        "latent_image": [
          "$sampler.latent_image",
          "*"
        ],
        "add_noise": "enable",
        "start_at_step": 0,
        "end_at_step": 21,
        "return_with_leftover_noise": "enable"
      }
    },
    "second": {
      "class_type": "KSamplerAdvanced",
      "replaces": "$sampler",
      "inputs": {
        "model": [
          "second_model",
          0
        ],
        "latent_image": [
          "first",
          0
        ],
        "add_noise": "disable",
        "start_at_step": 21,
        "end_at_step": 10000,
        "return_with_leftover_noise": "disable"
      }
    }
  },
  "after": "The canvas's sampler became two: the first runs steps 0 to 21 on the canvas's model, the second (second_model, a new loader that starts as the same model) from step 21 to the end, and the picture goes on to the decode as before. set_model second_model to the other model the user wants, of the same family (it reuses the prompts). A LoRA on the first model (a style) is not on the second: add_lora it onto second_model too when the user wants it kept. 21 is 60% of 35 steps: with other steps set the first sampler's end_at_step and the second's start_at_step both to about 60% (earlier: more of the second model, later: more of the first). er_sde split cleanly on one SDXL model but came out grainy on Anima: on another family's er_sde, dpmpp_2m_sde_gpu or euler is the safe choice for both. For a picture drawn from an empty latent; then run_workflow.",
  "notes": "KSampler Advanced: the first part returns its leftover noise, the second adds none and finishes it, so the two parts make one run of the steps. er_sde split, the same model in both parts, one seed each: grainy on two Anima models (Kirazuri all over, Harem 1.5 blotchy), clean on Nova Anime XL (SDXL); dpmpp_2m_sde_gpu and euler split cleanly. Tested on the user's route: Harem 1.5 for steps 0-21, Realskin 1.3 for 21-35, its style LoRA on both, 35 steps dpmpp_2m_sde_gpu beta; on SDXL: Nova Anime XL for steps 0-18, MiaoMiao Harem v2.0 for 18-30, dpmpp_2m_sde_gpu beta.",
  "models": [],
  "tested": {
    "gpu": "RTX 4050 Laptop",
    "vram_gb": 6,
    "runs": [
      {
        "model": "Anima (Kirazuri → Realskin 1.3 at step 21)",
        "size": "1216×832",
        "seconds": 79
      },
      {
        "model": "SDXL (Nova Anime XL → MiaoMiao Harem v2.0 at step 18 of 30)",
        "size": "832×1216",
        "seconds": 41
      }
    ],
    "date": "2026-11-03"
  },
  "variants": {
    "anima": {
      "nodes": {
        "second_model": {
          "class_type": "UNETLoader",
          "like": "$loader",
          "inputs": {}
        },
        "first": {
          "class_type": "KSamplerAdvanced",
          "like": "$sampler",
          "inputs": {
            "model": [
              "$sampler.model",
              "*"
            ],
            "positive": [
              "$sampler.positive",
              "*"
            ],
            "negative": [
              "$sampler.negative",
              "*"
            ],
            "latent_image": [
              "$sampler.latent_image",
              "*"
            ],
            "add_noise": "enable",
            "start_at_step": 0,
            "end_at_step": 21,
            "return_with_leftover_noise": "enable",
            "steps": 35,
            "sampler_name": "dpmpp_2m_sde_gpu",
            "scheduler": "beta"
          }
        },
        "second": {
          "class_type": "KSamplerAdvanced",
          "replaces": "$sampler",
          "inputs": {
            "model": [
              "second_model",
              0
            ],
            "latent_image": [
              "first",
              0
            ],
            "add_noise": "disable",
            "start_at_step": 21,
            "end_at_step": 10000,
            "return_with_leftover_noise": "disable",
            "steps": 35,
            "sampler_name": "dpmpp_2m_sde_gpu",
            "scheduler": "beta"
          }
        }
      },
      "after": "The canvas's sampler became two, with the tested Anima sampling (35 steps, dpmpp_2m_sde_gpu, beta): the first runs steps 0 to 21 on the canvas's model, the second (second_model, a new UNET loader that starts as the same model) from step 21 to the end, and the picture goes on to the decode as before. set_model second_model to the other Anima model the user wants (it reuses the text encoder and prompts). A LoRA on the first model (a style) is not on the second: add_lora it onto second_model too when the user wants it kept (the tested route did). Move the switch with the first sampler's end_at_step and the second's start_at_step together (earlier: more of the second model, later: more of the first). Keep dpmpp_2m_sde_gpu: er_sde came out grainy split on two Anima models. For a picture drawn from an empty latent; then run_workflow."
    }
  }
}