2026-09-26-044247__0.webp

A highly detailed photorealistic close-up of a small common shrew with intricate brown fur, tiny beady eyes, long snout, and delicate whiskers, standing on mossy forest ground surrounded by leaves and twigs, soft natural daylight filtering through trees, sharp focus, vibrant colors, intricate textures, cinematic composition, 8k resolution, masterpiece quality

The user sent a decorative string of symbols and the word "shrew".

I'll expand this into a detailed image generation prompt. It will describe a shrew surrounded by the decorative symbols, with added style and lighting details.

The negative prompt will be filled with placeholder text since this model ignores them. NSFW and refused are false. The JSON also requires a reason field.

{
  "55": {
    "_meta": {
      "title": "Image Saver Simple"
    },
    "class_type": "Image Saver Simple",
    "inputs": {
      "counter": 0,
      "embed_workflow": true,
      "extension": "webp",
      "filename": "%time_%basemodelname_%seed",
      "images": [
        "59",
        0
      ],
      "lossless_webp": false,
      "optimize_png": false,
      "path": "",
      "quality_jpeg_or_webp": 80,
      "save_workflow_as_json": false,
      "show_preview": true,
      "time_format": "%Y-%m-%d-%H%M%S"
    }
  },
  "56": {
    "_meta": {
      "title": "CLIP Text Encode (Prompt)"
    },
    "class_type": "CLIPTextEncode",
    "inputs": {
      "clip": [
        "61",
        0
      ],
      "text": "A highly detailed photorealistic close-up of a small common shrew with intricate brown fur, tiny beady eyes, long snout, and delicate whiskers, standing on mossy forest ground surrounded by leaves and twigs, soft natural daylight filtering through trees, sharp focus, vibrant colors, intricate textures, cinematic composition, 8k resolution, masterpiece quality"
    }
  },
  "57": {
    "_meta": {
      "title": "Empty Latent Image"
    },
    "class_type": "EmptyLatentImage",
    "inputs": {
      "batch_size": 1,
      "height": 1080,
      "width": 1920
    }
  },
  "58": {
    "_meta": {
      "title": "KSampler"
    },
    "class_type": "KSampler",
    "inputs": {
      "cfg": 1.0,
      "denoise": 1.0,
      "latent_image": [
        "57",
        0
      ],
      "model": [
        "77",
        0
      ],
      "negative": [
        "63",
        0
      ],
      "positive": [
        "56",
        0
      ],
      "sampler_name": "euler",
      "scheduler": "simple",
      "seed": 8055576569391790633,
      "steps": 8
    }
  },
  "59": {
    "_meta": {
      "title": "VAE Decode"
    },
    "class_type": "VAEDecode",
    "inputs": {
      "samples": [
        "58",
        0
      ],
      "vae": [
        "62",
        0
      ]
    }
  },
  "60": {
    "_meta": {
      "title": "Load Diffusion Model"
    },
    "class_type": "UNETLoader",
    "inputs": {
      "unet_name": "krea2_turbo_int8_convrot.safetensors",
      "weight_dtype": "default"
    }
  },
  "61": {
    "_meta": {
      "title": "Load CLIP"
    },
    "class_type": "CLIPLoader",
    "inputs": {
      "clip_name": "qwen3vl_4b_bf16.safetensors",
      "device": "default",
      "type": "krea2"
    }
  },
  "62": {
    "_meta": {
      "title": "Load VAE"
    },
    "class_type": "VAELoader",
    "inputs": {
      "vae_name": "qwen_image_vae.safetensors"
    }
  },
  "63": {
    "_meta": {
      "title": "Conditioning Zero Out"
    },
    "class_type": "ConditioningZeroOut",
    "inputs": {
      "conditioning": [
        "56",
        0
      ]
    }
  },
  "76": {
    "_meta": {
      "title": "CLIP Text Encode (Negative Prompt)"
    },
    "class_type": "CLIPTextEncode",
    "inputs": {
      "text": "blurry, low quality, distorted proportions, ugly, deformed, artifacts, text, symbols"
    }
  },
  "77": {
    "_meta": {
      "title": "Load LoRA"
    },
    "class_type": "LoraLoaderModelOnly",
    "inputs": {
      "lora_name": "Krea2_TextFusion_Refusal_Reduction.safetensors",
      "model": [
        "60",
        0
      ],
      "strength_model": 1.0
    }
  },
  "dave_original_prompt": {
    "_meta": {
      "title": "dave original prompt"
    },
    "class_type": "CLIPTextEncode",
    "inputs": {
      "text": "{\"prompt\":\"𒈙 𒈙 𒈙 𒈙 shrew 𒈙    𒈙 𒈙 𒈙 𒈙 𒈙\",\"llm_generated\":false,\"job_id\":\"dd9ab41f\",\"enhancement_reasoning\":\"The user sent a decorative string of symbols and the word \\\"shrew\\\".\\n\\nI'll expand this into a detailed image generation prompt. It will describe a shrew surrounded by the decorative symbols, with added style and lighting details.\\n\\nThe negative prompt will be filled with placeholder text since this model ignores them. NSFW and refused are false. The JSON also requires a reason field.\",\"network\":\"gamesurge\",\"channel\":\"#101\",\"nick\":\"sansGato\",\"safety\":\"safe\"}"
    }
  }
}