Open WebUI使用Ollama的Deepseek和ComfyUI的Flux进行图片生成

编程语言 2025-04-09 19:21:38 阅读次数: 0

实现目标：使用DeepSeek+Flux生成质量较高的图片

环境：

1⃣️ 本教程已搭建Open WebUI、Ollama、ComfyUI环境

2⃣️ Ollama已安装Deepseek-r1:32B模型

ComfyUI已安装Flux模型

具体工作流如下

可保存为workflow.json

{
  "6": {
    "inputs": {
      "text": "A festive scene celebrating Laba Festival, featuring a steaming bowl of Laba porridge with colorful ingredients like red beans, rice, peanuts, and dried fruits. Traditional Chinese decorations in the background, such as red lanterns, paper cuttings, and calligraphy. The setting is a warm, cozy kitchen or dining table with wooden utensils, showcasing a family atmosphere. Soft, warm lighting enhances the festive and cultural vibes. Winter elements like snow or a frosty window in the background.",
      "clip": [
        "11",
        0
      ]
    },
    "class_type": "CLIPTextEncode",
    "_meta": {
      "title": "CLIP文本编码器"
    }
  },
  "8": {
    "inputs": {
      "samples": [
        "13",
        0
      ],
      "vae": [
        "10",
        0
      ]
    },
    "class_type": "VAEDecode",
    "_meta": {
      "title": "VAE解码"
    }
  },
  "9": {
    "inputs": {
      "filename_prefix": "ComfyUI",
      "images": [
        "8",
        0
      ]
    },
    "class_type": "SaveImage",
    "_meta": {
      "title": "保存图像"
    }
  },
  "10": {
    "inputs": {
      "vae_name": "ae.safetensors"
    },
    "class_type": "VAELoader",
    "_meta": {
      "title": "VAE加载器"
    }
  },
  "11": {
    "inputs": {
      "clip_name1": "t5xxl_fp16.safetensors",
      "clip_name2": "clip_l.safetensors",
      "type": "flux"
    },
    "class_type": "DualCLIPLoader",
    "_meta": {
      "title": "双CLIP加载器"
    }
  },
  "12": {
    "inputs": {
      "unet_name": "flux1-dev-fp8.safetensors",
      "weight_dtype": "default"
    },
    "class_type": "UNETLoader",
    "_meta": {
      "title": "UNET加载器"
    }
  },
  "13": {
    "inputs": {
      "noise": [
        "25",
        0
      ],
      "guider": [
        "22",
        0
      ],
      "sampler": [
        "16",
        0
      ],
      "sigmas": [
        "17",
        0
      ],
      "latent_image": [
        "27",
        0
      ]
    },
    "class_type": "SamplerCustomAdvanced",
    "_meta": {
      "title": "自定义采样器(高级)"
    }
  },
  "16": {
    "inputs": {
      "sampler_name": "euler"
    },
    "class_type": "KSamplerSelect",
    "_meta": {
      "title": "K采样器选择"
    }
  },
  "17": {
    "inputs": {
      "scheduler": "simple",
      "steps": 20,
      "denoise": 1,
      "model": [
        "30",
        0
      ]
    },
    "class_type": "BasicScheduler",
    "_meta": {
      "title": "基础调度器"
    }
  },
  "22": {
    "inputs": {
      "model": [
        "30",
        0
      ],
      "conditioning": [
        "26",
        0
      ]
    },
    "class_type": "BasicGuider",
    "_meta": {
      "title": "基础引导"
    }
  },
  "25": {
    "inputs": {
      "noise_seed": 487354807589876
    },
    "class_type": "RandomNoise",
    "_meta": {
      "title": "随机噪波"
    }
  },
  "26": {
    "inputs": {
      "guidance": 3.5,
      "conditioning": [
        "6",
        0
      ]
    },
    "class_type": "FluxGuidance",
    "_meta": {
      "title": "Flux引导"
    }
  },
  "27": {
    "inputs": {
      "width": 512,
      "height": 512,
      "batch_size": 1
    },
    "class_type": "EmptySD3LatentImage",
    "_meta": {
      "title": "空Latent_SD3"
    }
  },
  "30": {
    "inputs": {
      "max_shift": 1.15,
      "base_shift": 0.5,
      "width": 512,
      "height": 512,
      "model": [
        "12",
        0
      ]
    },
    "class_type": "ModelSamplingFlux",
    "_meta": {
      "title": "模型采样算法Flux"
    }
  }
}

Open WebUI配置情况如下，填写ComfyUI基础地址，再上传上述workflow.json，然后填写工作流节点