{
  "_comment": "ユーザー指定 Anima_simple.json + Anima 公式必須の ModelSamplingAuraFlow shift=3.0 + LoraLoaderModelOnly 追加版。node ID は scripts/generate_dataset.py の patch_workflow が hardcode (positive=5, latent=7, sampler=8) するため、それに合わせて配置。LoRA を使わない場合は LoraLoaderModelOnly の strength_model を 0.0 にする。",
  "1": {
    "class_type": "UNETLoader",
    "inputs": {
      "unet_name": "anima-base-v1.0.safetensors",
      "weight_dtype": "default"
    }
  },
  "2": {
    "class_type": "ModelSamplingAuraFlow",
    "inputs": {
      "model": ["1", 0],
      "shift": 3.0
    }
  },
  "2b": {
    "class_type": "LoraLoaderModelOnly",
    "inputs": {
      "model": ["2", 0],
      "lora_name": "anima_turbo.safetensors",
      "strength_model": 1.0
    }
  },
  "3": {
    "class_type": "CLIPLoader",
    "inputs": {
      "clip_name": "qwen_3_06b_base.safetensors",
      "type": "stable_diffusion",
      "device": "default"
    }
  },
  "4": {
    "class_type": "CLIPTextEncode",
    "inputs": {
      "clip": ["3", 0],
      "text": "worst quality, low quality, score_1, score_2, score_3, score_4, blurry, deformed, bad anatomy, extra limbs, fused fingers, artist name, text, watermark, lowres, jpeg artifacts, censored"
    }
  },
  "5": {
    "class_type": "CLIPTextEncode",
    "inputs": {
      "clip": ["3", 0],
      "text": "$PROMPT"
    }
  },
  "6": {
    "class_type": "VAELoader",
    "inputs": {
      "vae_name": "qwen_image_vae.safetensors"
    }
  },
  "7": {
    "class_type": "EmptyLatentImage",
    "inputs": {
      "width": "$WIDTH",
      "height": "$HEIGHT",
      "batch_size": 1
    }
  },
  "8": {
    "class_type": "KSampler",
    "inputs": {
      "model": ["2b", 0],
      "positive": ["5", 0],
      "negative": ["4", 0],
      "latent_image": ["7", 0],
      "seed": "$SEED",
      "steps": 30,
      "cfg": 4.5,
      "sampler_name": "er_sde",
      "scheduler": "simple",
      "denoise": 1.0
    }
  },
  "9": {
    "class_type": "VAEDecode",
    "inputs": {
      "samples": ["8", 0],
      "vae": ["6", 0]
    }
  },
  "10": {
    "class_type": "SaveImage",
    "inputs": {
      "filename_prefix": "anima_verify",
      "images": ["9", 0]
    }
  }
}