更新

backend/config/comfyui_workflow.json

@@ -0,0 +1,265 @@
+{
+  "29": {
+    "inputs": {
+      "filename_prefix": "ZImage_T2I_",
+      "images": [
+        "30:8",
+        0
+      ]
+    },
+    "class_type": "SaveImage",
+    "_meta": {
+      "title": "保存图片到 output"
+    }
+  },
+  "49": {
+    "inputs": {
+      "aspect_ratio": "1:1 (Square)",
+      "megapixels": 1,
+      "multiple": 8
+    },
+    "class_type": "ResolutionSelector",
+    "_meta": {
+      "title": "分辨率选择器"
+    }
+  },
+  "30:10": {
+    "inputs": {
+      "unet_name": "z_image_turbo_bf16.safetensors",
+      "weight_dtype": "default",
+      "device": "cuda:0"
+    },
+    "class_type": "UNETLoaderMultiGPU",
+    "_meta": {
+      "title": "UNet · cuda:0"
+    }
+  },
+  "30:11": {
+    "inputs": {
+      "clip_name": "qwen_3_4b.safetensors",
+      "type": "lumina2",
+      "device": "cuda:1"
+    },
+    "class_type": "CLIPLoaderMultiGPU",
+    "_meta": {
+      "title": "CLIP · cuda:1"
+    }
+  },
+  "30:12": {
+    "inputs": {
+      "vae_name": "ae.safetensors",
+      "device": "cuda:1"
+    },
+    "class_type": "VAELoaderMultiGPU",
+    "_meta": {
+      "title": "VAE · cuda:1"
+    }
+  },
+  "30:14": {
+    "inputs": {
+      "shift": 5,
+      "model": [
+        "30:10",
+        0
+      ]
+    },
+    "class_type": "ModelSamplingAuraFlow",
+    "_meta": {
+      "title": "采样算法（AuraFlow）"
+    }
+  },
+  "30:6": {
+    "inputs": {
+      "text": [
+        "30:20",
+        0
+      ],
+      "clip": [
+        "30:11",
+        0
+      ]
+    },
+    "class_type": "CLIPTextEncode",
+    "_meta": {
+      "title": "CLIP文本编码"
+    }
+  },
+  "30:13": {
+    "inputs": {
+      "conditioning": [
+        "30:6",
+        0
+      ]
+    },
+    "class_type": "ConditioningZeroOut",
+    "_meta": {
+      "title": "条件零化"
+    }
+  },
+  "30:5": {
+    "inputs": {
+      "width": [
+        "49",
+        0
+      ],
+      "height": [
+        "49",
+        1
+      ],
+      "batch_size": 1
+    },
+    "class_type": "EmptySD3LatentImage",
+    "_meta": {
+      "title": "空Latent图像（SD3）"
+    }
+  },
+  "30:3": {
+    "inputs": {
+      "seed": 133701729959619,
+      "steps": 8,
+      "cfg": 1,
+      "sampler_name": "res_multistep",
+      "scheduler": "simple",
+      "denoise": 1,
+      "model": [
+        "30:14",
+        0
+      ],
+      "positive": [
+        "30:6",
+        0
+      ],
+      "negative": [
+        "30:13",
+        0
+      ],
+      "latent_image": [
+        "30:5",
+        0
+      ]
+    },
+    "class_type": "KSampler",
+    "_meta": {
+      "title": "K采样器"
+    }
+  },
+  "30:8": {
+    "inputs": {
+      "samples": [
+        "30:3",
+        0
+      ],
+      "vae": [
+        "30:12",
+        0
+      ]
+    },
+    "class_type": "VAEDecode",
+    "_meta": {
+      "title": "VAE解码"
+    }
+  },
+  "30:18": {
+    "inputs": {
+      "value": "You are an expert prompt engineer for text-to-image models.\nExpand the user's short request (often Chinese) into ONE detailed English visual prompt.\nRules:\n- Preserve the user intent exactly (subject, action, brand/product names, style).\n- Add concrete visual details: composition, lighting, camera angle, materials, colors, atmosphere.\n- Keep it as a single paragraph of natural English tags/phrases suitable for image generation.\n- Do NOT ask questions. Do NOT output Chinese. Do NOT wrap in quotes or markdown.\n- If the request is an ad/poster, emphasize product focus, clean layout, and commercial photography quality."
+    },
+    "class_type": "PrimitiveStringMultiline",
+    "_meta": {
+      "title": "System Prompt"
+    }
+  },
+  "30:19": {
+    "inputs": {
+      "value": ""
+    },
+    "class_type": "PrimitiveStringMultiline",
+    "_meta": {
+      "title": "User Prompt"
+    }
+  },
+  "30:17": {
+    "inputs": {
+      "string_a": [
+        "30:18",
+        0
+      ],
+      "string_b": [
+        "30:19",
+        0
+      ],
+      "delimiter": ""
+    },
+    "class_type": "StringConcatenate",
+    "_meta": {
+      "title": "连接"
+    }
+  },
+  "30:16": {
+    "inputs": {
+      "prompt": [
+        "30:17",
+        0
+      ],
+      "max_length": 128,
+      "sampling_mode": "on",
+      "sampling_mode.temperature": 0.25,
+      "sampling_mode.top_k": 32,
+      "sampling_mode.top_p": 0.88,
+      "sampling_mode.min_p": 0.02,
+      "sampling_mode.repetition_penalty": 1.08,
+      "sampling_mode.seed": 0,
+      "sampling_mode.presence_penalty": 0,
+      "thinking": false,
+      "use_default_template": true,
+      "clip": [
+        "30:11",
+        0
+      ]
+    },
+    "class_type": "TextGenerate",
+    "_meta": {
+      "title": "TextGenerate"
+    }
+  },
+  "30:24": {
+    "inputs": {
+      "value": true
+    },
+    "class_type": "PrimitiveBoolean",
+    "_meta": {
+      "title": "Refine Prompt?"
+    }
+  },
+  "30:21": {
+    "inputs": {
+      "switch": [
+        "30:24",
+        0
+      ],
+      "on_false": [
+        "30:19",
+        0
+      ],
+      "on_true": [
+        "30:16",
+        0
+      ]
+    },
+    "class_type": "ComfySwitchNode",
+    "_meta": {
+      "title": "切换"
+    }
+  },
+  "30:20": {
+    "inputs": {
+      "source": [
+        "30:21",
+        0
+      ]
+    },
+    "class_type": "PreviewAny",
+    "_meta": {
+      "title": "预览任意"
+    }
+  }
+}