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  2. AI硬件
  3. 关于INTEL 的B70 PRO。

关于INTEL 的B70 PRO。

已定时 已固定 已锁定 已移动 AI硬件
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  • E 离线
    E 离线
    ezios
    编写于 最后由 编辑
    #24

    哈哈 看着果然劝退

    但是看着价格还是时不时yy一下

    1 条回复 最后回复
    0
    • 系统 取消固定了该主题
    • sirwangS 离线
      sirwangS 离线
      sirwang
      编写于 最后由 编辑
      #25

      OK。回来汇报来了。 四张卡都驱起来了。机器有256G内存,一张卡分64G。 前三张运行comfyui。后一张运行qwen3.6-27B. 测试大模型压力用的4并发。 脚本和结果如下:

      import urllib.request
      import json
      import concurrent.futures
      import time
      
      URL = "http://127.0.0.1:8091/v1/chat/completions"
      HEADERS = {"Content-Type": "application/json"}
      # 模拟长文本生成请求
      DATA = {
          "model": "/model",
          "messages": [{"role": "user", "content": "请写一篇800字的科幻小说,描述人类第一次登陆木星的场景。"}],
          "max_tokens": 1000,
          "temperature": 0.8
      }
      
      def send_request(req_id):
          req = urllib.request.Request(URL, headers=HEADERS, data=json.dumps(DATA).encode('utf-8'))
          start_time = time.time()
          try:
              with urllib.request.urlopen(req) as response:
                  res = json.loads(response.read().decode('utf-8'))
                  tokens = res['usage']['completion_tokens']
                  cost_time = time.time() - start_time
                  print(f"请求 {req_id} 完成 | 耗时: {cost_time:.2f}s | 生成 Token: {tokens} | 速度: {tokens/cost_time:.2f} tokens/s")
          except Exception as e:
              print(f"请求 {req_id} 失败: {e}")
      
      # 设置并发数,从 2 开始,逐步改成 4, 8, 16 试试极限
      CONCURRENCY = 4 
      print(f"--- 开始 vLLM 并发压测 | 并发数: {CONCURRENCY} ---")
      
      with concurrent.futures.ThreadPoolExecutor(max_workers=CONCURRENCY) as executor:
          # 一次性发射 20 个请求排队
          executor.map(send_request, range(20))
      

      以下是运行截图:

      ScreenShot_2026-05-21_134657_803.png
      我画红线的是第4张卡运行vllm qwen3.6-27b的卡。

      unnamed.jpg 2e8c4f43-2313-4372-b412-1c18c21b9510-image.jpeg 下边白底的这个是docker 的日志截图。

      ScreenShot_2026-05-21_141047_897.png 感觉还是相当稳的。 工作室和个人用,够了。 comfyui 我去找个‘公平’的测试方法。或者大家有啥测试方法不?

      1 条回复 最后回复
      1
      • sirwangS 离线
        sirwangS 离线
        sirwang
        编写于 最后由 编辑
        #26

        4ca9ec8e-efe1-420a-ad6c-6dd990ce1145-image.jpeg

        WAN2511 一张图生成96张图片的这个流, 美女照,原图 2000X3000 ,成图的96张图 832x1248 。 我简单看了下时间。从0.23分到0.43分,正好20秒。 做为对比,我还有另外一台2080ti-22G魔改版,时间正好是快了9倍.... 这时间就差出大数来了。我还算比较满意。

        522ae70f-f78d-43b8-bafa-79e7b4f15006-image.jpeg
        d72691ee-7221-49bd-9436-2d06708710f5-image.jpeg

        2080ti-22G 同样的流,同样跑出来96个角度的图片:

        d525aa99-0a17-4970-831c-18e96e33a7f3-image.jpeg
        497e2043-0b07-455c-ad4c-94c0fc0ffbfa-image.jpeg

        2个半小时....

        20分钟对2个半小时...

        手里没有老特的4090-48G,否则铁定也要试一把~~~~

        1 条回复 最后回复
        1
        • sirwangS 离线
          sirwangS 离线
          sirwang
          编写于 最后由 编辑
          #27

          为了方便大家测试,我把流共享出来:

          {
            "id": "803716fc-9d9d-4d02-817c-855cdd6b4855",
            "revision": 0,
            "last_node_id": 27,
            "last_link_id": 30,
            "nodes": [
              {
                "id": 2,
                "type": "FluxKontextMultiReferenceLatentMethod",
                "pos": [
                  797.1906256982577,
                  12.11786329545784
                ],
                "size": [
                  309.6734375,
                  70
                ],
                "flags": {},
                "order": 15,
                "mode": 0,
                "inputs": [
                  {
                    "label": "条件",
                    "name": "conditioning",
                    "type": "CONDITIONING",
                    "link": 2
                  },
                  {
                    "label": "参考Latent方法",
                    "name": "reference_latents_method",
                    "type": "COMBO",
                    "widget": {
                      "name": "reference_latents_method"
                    },
                    "link": null
                  }
                ],
                "outputs": [
                  {
                    "label": "条件",
                    "name": "CONDITIONING",
                    "type": "CONDITIONING",
                    "links": [
                      13
                    ]
                  }
                ],
                "properties": {
                  "cnr_id": "comfy-core",
                  "ver": "0.5.1",
                  "Node name for S&R": "FluxKontextMultiReferenceLatentMethod",
                  "ue_properties": {
                    "widget_ue_connectable": {
                      "reference_latents_method": true
                    },
                    "version": "7.5.2",
                    "input_ue_unconnectable": {}
                  },
                  "enableTabs": false,
                  "tabWidth": 65,
                  "tabXOffset": 10,
                  "hasSecondTab": false,
                  "secondTabText": "Send Back",
                  "secondTabOffset": 80,
                  "secondTabWidth": 65
                },
                "widgets_values": [
                  "index_timestep_zero"
                ],
                "color": "#222",
                "bgcolor": "#000"
              },
              {
                "id": 3,
                "type": "FluxKontextMultiReferenceLatentMethod",
                "pos": [
                  797.1906256982577,
                  -117.88213670454216
                ],
                "size": [
                  309.6734375,
                  70
                ],
                "flags": {},
                "order": 16,
                "mode": 0,
                "inputs": [
                  {
                    "label": "条件",
                    "name": "conditioning",
                    "type": "CONDITIONING",
                    "link": 3
                  },
                  {
                    "label": "参考Latent方法",
                    "name": "reference_latents_method",
                    "type": "COMBO",
                    "widget": {
                      "name": "reference_latents_method"
                    },
                    "link": null
                  }
                ],
                "outputs": [
                  {
                    "label": "条件",
                    "name": "CONDITIONING",
                    "type": "CONDITIONING",
                    "links": [
                      12
                    ]
                  }
                ],
                "properties": {
                  "cnr_id": "comfy-core",
                  "ver": "0.5.1",
                  "Node name for S&R": "FluxKontextMultiReferenceLatentMethod",
                  "ue_properties": {
                    "widget_ue_connectable": {
                      "reference_latents_method": true
                    },
                    "version": "7.5.2",
                    "input_ue_unconnectable": {}
                  },
                  "enableTabs": false,
                  "tabWidth": 65,
                  "tabXOffset": 10,
                  "hasSecondTab": false,
                  "secondTabText": "Send Back",
                  "secondTabOffset": 80,
                  "secondTabWidth": 65
                },
                "widgets_values": [
                  "index_timestep_zero"
                ],
                "color": "#222",
                "bgcolor": "#000"
              },
              {
                "id": 4,
                "type": "CFGNorm",
                "pos": [
                  807.1906256982578,
                  -247.88213670454212
                ],
                "size": [
                  270,
                  68.33333333333334
                ],
                "flags": {},
                "order": 17,
                "mode": 0,
                "inputs": [
                  {
                    "label": "模型",
                    "name": "model",
                    "type": "MODEL",
                    "link": 4
                  },
                  {
                    "label": "强度",
                    "name": "strength",
                    "type": "FLOAT",
                    "widget": {
                      "name": "strength"
                    },
                    "link": null
                  }
                ],
                "outputs": [
                  {
                    "label": "修正后的模型",
                    "name": "patched_model",
                    "type": "MODEL",
                    "links": [
                      11
                    ]
                  }
                ],
                "properties": {
                  "cnr_id": "comfy-core",
                  "ver": "0.5.1",
                  "Node name for S&R": "CFGNorm",
                  "ue_properties": {
                    "widget_ue_connectable": {
                      "strength": true
                    },
                    "version": "7.5.2",
                    "input_ue_unconnectable": {}
                  },
                  "enableTabs": false,
                  "tabWidth": 65,
                  "tabXOffset": 10,
                  "hasSecondTab": false,
                  "secondTabText": "Send Back",
                  "secondTabOffset": 80,
                  "secondTabWidth": 65,
                  "ttNbgOverride": {
                    "color": "#332922",
                    "bgcolor": "#593930",
                    "groupcolor": "#b06634"
                  }
                },
                "widgets_values": [
                  1
                ],
                "color": "#332922",
                "bgcolor": "#593930"
              },
              {
                "id": 17,
                "type": "UNETLoader",
                "pos": [
                  -145.99967296522877,
                  -365.28072730924794
                ],
                "size": [
                  412.4183876274179,
                  93.12632424766274
                ],
                "flags": {},
                "order": 0,
                "mode": 0,
                "inputs": [
                  {
                    "label": "UNET名称",
                    "name": "unet_name",
                    "type": "COMBO",
                    "widget": {
                      "name": "unet_name"
                    },
                    "link": null
                  },
                  {
                    "label": "剪枝类型",
                    "name": "weight_dtype",
                    "type": "COMBO",
                    "widget": {
                      "name": "weight_dtype"
                    },
                    "link": null
                  }
                ],
                "outputs": [
                  {
                    "label": "模型",
                    "name": "MODEL",
                    "type": "MODEL",
                    "slot_index": 0,
                    "links": [
                      23
                    ]
                  }
                ],
                "properties": {
                  "cnr_id": "comfy-core",
                  "ver": "0.5.1",
                  "Node name for S&R": "UNETLoader",
                  "ue_properties": {
                    "widget_ue_connectable": {
                      "unet_name": true,
                      "weight_dtype": true
                    },
                    "version": "7.5.2",
                    "input_ue_unconnectable": {}
                  },
                  "models": [
                    {
                      "name": "qwen_image_edit_2511_bf16.safetensors",
                      "url": "https://huggingface.co/Comfy-Org/Qwen-Image-Edit_ComfyUI/resolve/main/split_files/diffusion_models/qwen_image_edit_2511_bf16.safetensors",
                      "directory": "diffusion_models"
                    }
                  ],
                  "enableTabs": false,
                  "tabWidth": 65,
                  "tabXOffset": 10,
                  "hasSecondTab": false,
                  "secondTabText": "Send Back",
                  "secondTabOffset": 80,
                  "secondTabWidth": 65,
                  "ttNbgOverride": {
                    "color": "#332922",
                    "bgcolor": "#593930",
                    "groupcolor": "#b06634"
                  }
                },
                "widgets_values": [
                  "qwen_image_edit_2511_fp8mixed.safetensors",
                  "default"
                ],
                "color": "#332922",
                "bgcolor": "#593930"
              },
              {
                "id": 16,
                "type": "LoraLoaderModelOnly",
                "pos": [
                  339.08373304272516,
                  -365.4385152699498
                ],
                "size": [
                  396.1328125,
                  96.66666666666667
                ],
                "flags": {},
                "order": 8,
                "mode": 0,
                "inputs": [
                  {
                    "label": "模型",
                    "name": "model",
                    "type": "MODEL",
                    "link": 23
                  },
                  {
                    "label": "LoRA名称",
                    "name": "lora_name",
                    "type": "COMBO",
                    "widget": {
                      "name": "lora_name"
                    },
                    "link": null
                  },
                  {
                    "label": "模型强度",
                    "name": "strength_model",
                    "type": "FLOAT",
                    "widget": {
                      "name": "strength_model"
                    },
                    "link": null
                  }
                ],
                "outputs": [
                  {
                    "label": "模型",
                    "name": "MODEL",
                    "type": "MODEL",
                    "links": [
                      22
                    ]
                  }
                ],
                "properties": {
                  "cnr_id": "comfy-core",
                  "ver": "0.5.1",
                  "Node name for S&R": "LoraLoaderModelOnly",
                  "ue_properties": {
                    "widget_ue_connectable": {
                      "lora_name": true,
                      "strength_model": true
                    },
                    "version": "7.5.2",
                    "input_ue_unconnectable": {}
                  },
                  "models": [
                    {
                      "name": "Qwen-Image-Edit-2511-Lightning-4steps-V1.0-bf16.safetensors",
                      "url": "https://huggingface.co/lightx2v/Qwen-Image-Edit-2511-Lightning/resolve/main/Qwen-Image-Edit-2511-Lightning-4steps-V1.0-bf16.safetensors",
                      "directory": "loras"
                    }
                  ],
                  "enableTabs": false,
                  "tabWidth": 65,
                  "tabXOffset": 10,
                  "hasSecondTab": false,
                  "secondTabText": "Send Back",
                  "secondTabOffset": 80,
                  "secondTabWidth": 65
                },
                "widgets_values": [
                  "角度切换(VNCSS)-qwen-image-edit-2511-multiple-angles-lora.safetensors",
                  1
                ],
                "color": "#432",
                "bgcolor": "#653"
              },
              {
                "id": 18,
                "type": "CLIPLoader",
                "pos": [
                  -142.2511206355773,
                  -201.03371333749183
                ],
                "size": [
                  396.1328125,
                  125
                ],
                "flags": {},
                "order": 1,
                "mode": 0,
                "inputs": [
                  {
                    "label": "CLIP名称",
                    "name": "clip_name",
                    "type": "COMBO",
                    "widget": {
                      "name": "clip_name"
                    },
                    "link": null
                  },
                  {
                    "label": "类型",
                    "name": "type",
                    "type": "COMBO",
                    "widget": {
                      "name": "type"
                    },
                    "link": null
                  }
                ],
                "outputs": [
                  {
                    "label": "CLIP",
                    "name": "CLIP",
                    "type": "CLIP",
                    "links": [
                      5,
                      18
                    ]
                  }
                ],
                "properties": {
                  "cnr_id": "comfy-core",
                  "ver": "0.5.1",
                  "Node name for S&R": "CLIPLoader",
                  "ue_properties": {
                    "widget_ue_connectable": {
                      "clip_name": true,
                      "type": true,
                      "device": true
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                    "version": "7.5.2",
                    "input_ue_unconnectable": {}
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                  "models": [
                    {
                      "name": "qwen_2.5_vl_7b_fp8_scaled.safetensors",
                      "url": "https://huggingface.co/Comfy-Org/HunyuanVideo_1.5_repackaged/resolve/main/split_files/text_encoders/qwen_2.5_vl_7b_fp8_scaled.safetensors",
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                    }
                  ],
                  "enableTabs": false,
                  "tabWidth": 65,
                  "tabXOffset": 10,
                  "hasSecondTab": false,
                  "secondTabText": "Send Back",
                  "secondTabOffset": 80,
                  "secondTabWidth": 65,
                  "ttNbgOverride": {
                    "color": "#332922",
                    "bgcolor": "#593930",
                    "groupcolor": "#b06634"
                  }
                },
                "widgets_values": [
                  "qwen_2.5_vl_7b_fp8_scaled.safetensors",
                  "qwen_image",
                  "default"
                ],
                "color": "#332922",
                "bgcolor": "#593930"
              },
              {
                "id": 14,
                "type": "VAELoader",
                "pos": [
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                  -17.514527994231976
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                "size": [
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                "flags": {},
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                "mode": 0,
                "inputs": [
                  {
                    "label": "vae名称",
                    "name": "vae_name",
                    "type": "COMBO",
                    "widget": {
                      "name": "vae_name"
                    },
                    "link": null
                  }
                ],
                "outputs": [
                  {
                    "name": "VAE",
                    "type": "VAE",
                    "slot_index": 0,
                    "links": [
                      6,
                      9,
                      16,
                      19
                    ]
                  }
                ],
                "properties": {
                  "cnr_id": "comfy-core",
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                  "models": [
                    {
                      "name": "qwen_image_vae.safetensors",
                      "url": "https://huggingface.co/Comfy-Org/Qwen-Image_ComfyUI/resolve/main/split_files/vae/qwen_image_vae.safetensors",
                      "directory": "vae"
                    }
                  ],
                  "enableTabs": false,
                  "tabWidth": 65,
                  "tabXOffset": 10,
                  "hasSecondTab": false,
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                  "secondTabWidth": 65,
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                    "color": "#332922",
                    "bgcolor": "#593930",
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                },
                "widgets_values": [
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                "color": "#332922",
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              {
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                "inputs": [
                  {
                    "label": "图像",
                    "name": "image",
                    "type": "IMAGE",
                    "link": 10
                  }
                ],
                "outputs": [
                  {
                    "label": "图像",
                    "name": "IMAGE",
                    "type": "IMAGE",
                    "links": [
                      7,
                      8,
                      20
                    ]
                  }
                ],
                "properties": {
                  "cnr_id": "comfy-core",
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                  {
                    "label": "LoRA名称",
                    "name": "lora_name",
                    "type": "COMBO",
                    "widget": {
                      "name": "lora_name"
                    },
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                  },
                  {
                    "label": "模型强度",
                    "name": "strength_model",
                    "type": "FLOAT",
                    "widget": {
                      "name": "strength_model"
                    },
                    "link": null
                  }
                ],
                "outputs": [
                  {
                    "label": "模型",
                    "name": "MODEL",
                    "type": "MODEL",
                    "links": [
                      1
                    ]
                  }
                ],
                "properties": {
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                  },
                  "models": [
                    {
                      "name": "Qwen-Image-Edit-2511-Lightning-4steps-V1.0-bf16.safetensors",
                      "url": "https://huggingface.co/lightx2v/Qwen-Image-Edit-2511-Lightning/resolve/main/Qwen-Image-Edit-2511-Lightning-4steps-V1.0-bf16.safetensors",
                      "directory": "loras"
                    }
                  ],
                  "enableTabs": false,
                  "tabWidth": 65,
                  "tabXOffset": 10,
                  "hasSecondTab": false,
                  "secondTabText": "Send Back",
                  "secondTabOffset": 80,
                  "secondTabWidth": 65,
                  "ttNbgOverride": {
                    "color": "#332922",
                    "bgcolor": "#593930",
                    "groupcolor": "#b06634"
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                },
                "widgets_values": [
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                    "label": "Latent",
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                  {
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                    "type": "VAE",
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                ],
                "outputs": [
                  {
                    "label": "图像",
                    "name": "IMAGE",
                    "type": "IMAGE",
                    "slot_index": 0,
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                  "hasSecondTab": false,
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          5322b004-829c-43a5-b064-ae792fe5c261-image.jpeg

          貌似不行,那就再开一个贴再贴一半吧。 我没有权限上传文件,只能贴代码了。

          1 条回复 最后回复
          1
          • sirwangS 离线
            sirwangS 离线
            sirwang
            编写于 最后由 编辑
            #28

            请把俩代码合一块。就可以了。

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                  "widgets_values": [
                    "可以使用comfuyi-lumi-batcher 来跑各个角度的,一下子跑出去90条。\n在这个流里,直接换位置,也就是把位置选成节点19,之后把参数选成左边复制的提示信息就行. william"
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                    "<sks> front view low-angle shot close-up\n<sks> front-right quarter view low-angle shot close-up\n<sks> right side view low-angle shot close-up\n<sks> back-right quarter view low-angle shot close-up\n<sks> back view low-angle shot close-up\n<sks> back-left quarter view low-angle shot close-up\n<sks> left side view low-angle shot close-up\n<sks> front-left quarter view low-angle shot close-up\n<sks> front view eye-level shot close-up\n<sks> front-right quarter view eye-level shot close-up\n<sks> right side view eye-level shot close-up\n<sks> back-right quarter view eye-level shot close-up\n<sks> back view eye-level shot close-up\n<sks> back-left quarter view eye-level shot close-up\n<sks> left side view eye-level shot close-up\n<sks> front-left quarter view eye-level shot close-up\n<sks> front view elevated shot close-up\n<sks> front-right quarter view elevated shot close-up\n<sks> right side view elevated shot close-up\n<sks> back-right quarter view elevated shot close-up\n<sks> back view elevated shot close-up\n<sks> back-left quarter view elevated shot close-up\n<sks> left side view elevated shot close-up\n<sks> front-left quarter view elevated shot close-up\n<sks> front view high-angle shot close-up\n<sks> front-right quarter view high-angle shot close-up\n<sks> right side view high-angle shot close-up\n<sks> back-right quarter view high-angle shot close-up\n<sks> back view high-angle shot close-up\n<sks> back-left quarter view high-angle shot close-up\n<sks> left side view high-angle shot close-up\n<sks> front-left quarter view high-angle shot close-up\n<sks> front view low-angle shot medium shot\n<sks> front-right quarter view low-angle shot medium shot\n<sks> right side view low-angle shot medium shot\n<sks> back-right quarter view low-angle shot medium shot\n<sks> back view low-angle shot medium shot\n<sks> back-left quarter view low-angle shot medium shot\n<sks> left side view low-angle shot medium shot\n<sks> front-left quarter view low-angle shot medium shot\n<sks> front view eye-level shot medium shot\n<sks> front-right quarter view eye-level shot medium shot\n<sks> right side view eye-level shot medium shot\n<sks> back-right quarter view eye-level shot medium shot\n<sks> back view eye-level shot medium shot\n<sks> back-left quarter view eye-level shot medium shot\n<sks> left side view eye-level shot medium shot\n<sks> front-left quarter view eye-level shot medium shot\n<sks> front view elevated shot medium shot\n<sks> front-right quarter view elevated shot medium shot\n<sks> right side view elevated shot medium shot\n<sks> back-right quarter view elevated shot medium shot\n<sks> back view elevated shot medium shot\n<sks> back-left quarter view elevated shot medium shot\n<sks> left side view elevated shot medium shot\n<sks> front-left quarter view elevated shot medium shot\n<sks> front view high-angle shot medium shot\n<sks> front-right quarter view high-angle shot medium shot\n<sks> right side view high-angle shot medium shot\n<sks> back-right quarter view high-angle shot medium shot\n<sks> back view high-angle shot medium shot\n<sks> back-left quarter view high-angle shot medium shot\n<sks> left side view high-angle shot medium shot\n<sks> front-left quarter view high-angle shot medium shot\n<sks> front view low-angle shot wide shot\n<sks> front-right quarter view low-angle shot wide shot\n<sks> right side view low-angle shot wide shot\n<sks> back-right quarter view low-angle shot wide shot\n<sks> back view low-angle shot wide shot\n<sks> back-left quarter view low-angle shot wide shot\n<sks> left side view low-angle shot wide shot\n<sks> front-left quarter view low-angle shot wide shot\n<sks> front view eye-level shot wide shot\n<sks> front-right quarter view eye-level shot wide shot\n<sks> right side view eye-level shot wide shot\n<sks> back-right quarter view eye-level shot wide shot\n<sks> back view eye-level shot wide shot\n<sks> back-left quarter view eye-level shot wide shot\n<sks> left side view eye-level shot wide shot\n<sks> front-left quarter view eye-level shot wide shot\n<sks> front view elevated shot wide shot\n<sks> front-right quarter view elevated shot wide shot\n<sks> right side view elevated shot wide shot\n<sks> back-right quarter view elevated shot wide shot\n<sks> back view elevated shot wide shot\n<sks> back-left quarter view elevated shot wide shot\n<sks> left side view elevated shot wide shot\n<sks> front-left quarter view elevated shot wide shot\n<sks> front view high-angle shot wide shot\n<sks> front-right quarter view high-angle shot wide shot\n<sks> right side view high-angle shot wide shot\n<sks> back-right quarter view high-angle shot wide shot\n<sks> back view high-angle shot wide shot\n<sks> back-left quarter view high-angle shot wide shot\n<sks> left side view high-angle shot wide shot\n<sks> front-left quarter view high-angle shot wide shot"
                  ],
                  "color": "#232",
                  "bgcolor": "#353"
                },
                {
                  "id": 13,
                  "type": "TextEncodeQwenImageEditPlus",
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                  "size": [
                    400.4109260819468,
                    258.660770021565
                  ],
                  "flags": {},
                  "order": 13,
                  "mode": 0,
                  "inputs": [
                    {
                      "label": "CLIP",
                      "name": "clip",
                      "type": "CLIP",
                      "link": 18
                    },
                    {
                      "label": "VAE",
                      "name": "vae",
                      "shape": 7,
                      "type": "VAE",
                      "link": 19
                    },
                    {
                      "label": "图像1",
                      "name": "image1",
                      "shape": 7,
                      "type": "IMAGE",
                      "link": 20
                    },
                    {
                      "label": "图像2",
                      "name": "image2",
                      "shape": 7,
                      "type": "IMAGE",
                      "link": null
                    },
                    {
                      "label": "图像3",
                      "name": "image3",
                      "shape": 7,
                      "type": "IMAGE",
                      "link": null
                    },
                    {
                      "label": "提示词",
                      "name": "prompt",
                      "type": "STRING",
                      "widget": {
                        "name": "prompt"
                      },
                      "link": 30
                    }
                  ],
                  "outputs": [
                    {
                      "label": "条件",
                      "name": "CONDITIONING",
                      "type": "CONDITIONING",
                      "links": [
                        3
                      ]
                    }
                  ],
                  "title": "TextEncodeQwenImageEditPlus (Positive)",
                  "properties": {
                    "cnr_id": "comfy-core",
                    "ver": "0.5.1",
                    "Node name for S&R": "TextEncodeQwenImageEditPlus",
                    "ue_properties": {
                      "widget_ue_connectable": {
                        "prompt": true
                      },
                      "version": "7.5.2",
                      "input_ue_unconnectable": {}
                    },
                    "enableTabs": false,
                    "tabWidth": 65,
                    "tabXOffset": 10,
                    "hasSecondTab": false,
                    "secondTabText": "Send Back",
                    "secondTabOffset": 80,
                    "secondTabWidth": 65
                  },
                  "widgets_values": [
                    "<sks> front view low-angle shot close-up"
                  ],
                  "color": "#232",
                  "bgcolor": "#353"
                },
                {
                  "id": 19,
                  "type": "VNCCS_VisualPositionControl",
                  "pos": [
                    -135.64643889289317,
                    113.93573315518134
                  ],
                  "size": [
                    377.25527938354924,
                    400.69737743530504
                  ],
                  "flags": {},
                  "order": 6,
                  "mode": 0,
                  "inputs": [],
                  "outputs": [
                    {
                      "name": "prompt",
                      "type": "STRING",
                      "links": [
                        30
                      ]
                    }
                  ],
                  "properties": {
                    "cnr_id": "vnccs-utils",
                    "ver": "e8899e8fda5e72744198efecdc6f74f7d88a3b6a",
                    "Node name for S&R": "VNCCS_VisualPositionControl",
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                      "color": "#332922",
                      "bgcolor": "#593930",
                      "groupcolor": "#b06634"
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                  },
                  "widgets_values": [
                    "{\"azimuth\":225,\"elevation\":-30,\"distance\":\"close-up\",\"include_trigger\":true}",
                    ""
                  ],
                  "color": "#332922",
                  "bgcolor": "#593930"
                },
                {
                  "id": 12,
                  "type": "LoadImage",
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                  "mode": 0,
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                      "label": "图像",
                      "name": "image",
                      "type": "COMBO",
                      "widget": {
                        "name": "image"
                      },
                      "link": null
                    },
                    {
                      "label": "上传",
                      "name": "upload",
                      "type": "IMAGEUPLOAD",
                      "widget": {
                        "name": "upload"
                      },
                      "link": null
                    }
                  ],
                  "outputs": [
                    {
                      "label": "图像",
                      "name": "IMAGE",
                      "type": "IMAGE",
                      "links": [
                        10
                      ]
                    },
                    {
                      "label": "遮罩",
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            1 条回复 最后回复
            2
            • sirwangS 离线
              sirwangS 离线
              sirwang
              编写于 最后由 编辑
              #29

              把大美女也发出来。这是baidu图片找的。版权不是我的。

              zhuyin.jpeg

              1 条回复 最后回复
              0
              • sirwangS 离线
                sirwangS 离线
                sirwang
                编写于 最后由 编辑
                #30

                182a112a-320e-44e6-8184-ae9ab1a3c700-image.jpeg

                模型用的官方原版的模型,没有量化。 下载地址:https://huggingface.co/Qwen/Qwen3.6-27B/tree/main 一共 55.6G

                1 条回复 最后回复
                1
                • 墙内人墙 离线
                  墙内人墙 离线
                  墙内人
                  编写于 最后由 墙内人 编辑
                  #31

                  厉害了兄弟,全网最宝贵资料,简直就是外星人捕捉现场,稀有

                  1 条回复 最后回复
                  1
                  • terryT terry 固定了该主题
                  • terryT 离线
                    terryT 离线
                    terry
                    编写于 最后由 编辑
                    #32

                    不错,非常好的参考数据,我也不知道论坛有上传文件有什么要求,我后台开放了的,zip,gz后缀文件,应该都可以传。

                    油管:https://www.youtube.com/@抡锤者

                    sirwangS 1 条回复 最后回复
                    0
                    • terryT terry

                      不错,非常好的参考数据,我也不知道论坛有上传文件有什么要求,我后台开放了的,zip,gz后缀文件,应该都可以传。

                      sirwangS 离线
                      sirwangS 离线
                      sirwang
                      编写于 最后由 编辑
                      #33

                      @terry 应该是我上传工作流的 .json 有安全风险,不让上传吧。没事的。

                      1 条回复 最后回复
                      0
                      • terryT 离线
                        terryT 离线
                        terry
                        编写于 最后由 编辑
                        #34

                        是我不让上传json文件,压缩成zip即可

                        油管:https://www.youtube.com/@抡锤者

                        sirwangS 1 条回复 最后回复
                        0
                        • terryT terry

                          是我不让上传json文件,压缩成zip即可

                          sirwangS 离线
                          sirwangS 离线
                          sirwang
                          编写于 最后由 编辑
                          #35

                          @terry 没问题的, 代码已经上传了, 编辑器的插入代码一样。 以后压缩再说吧。谢谢。

                          1 条回复 最后回复
                          0
                          • 李明李 离线
                            李明李 离线
                            李明
                            编写于 最后由 编辑
                            #36

                            弱弱问一句,Intel B70 32G vs 4080s 32G,哪个算力高?好像价格差30%

                            sirwangS 1 条回复 最后回复
                            0
                            • A 离线
                              A 离线
                              applejuice
                              编写于 最后由 applejuice 编辑
                              #37

                              4080s 带宽比较大 算例更好 应该比较好
                              4080 快过3090
                              B70 不如3090
                              4080还支持FP8
                              缺点没有保家

                              以上资料来源都是AI

                              1 条回复 最后回复
                              0
                              • sirwangS sirwang

                                手里有INTEL 的 B70PRO 显卡,新发布的 32G显存。
                                可以用comfyui,用 z-image 生图,会强过4090, 但LTX/WAN上边,没办法720视频,适配的一塌糊涂。我都快没有信心去测试了。 comfyui也没办法更新。我正在调试。调试完之后第一时间来发报告。

                                V 离线
                                V 离线
                                vosrock
                                编写于 最后由 编辑
                                #38

                                @sirwang z-image不是几秒就能出一张图嘛,几秒和十来秒差异不大的,所以别用ZIMAGE来测试,因为都很快

                                sirwangS 1 条回复 最后回复
                                0
                                • V vosrock

                                  @sirwang z-image不是几秒就能出一张图嘛,几秒和十来秒差异不大的,所以别用ZIMAGE来测试,因为都很快

                                  sirwangS 离线
                                  sirwangS 离线
                                  sirwang
                                  编写于 最后由 编辑
                                  #39

                                  @vosrock 需要参考图然后用文生图的。不止是文生图。

                                  1 条回复 最后回复
                                  0
                                  • 李明李 李明

                                    弱弱问一句,Intel B70 32G vs 4080s 32G,哪个算力高?好像价格差30%

                                    sirwangS 离线
                                    sirwangS 离线
                                    sirwang
                                    编写于 最后由 编辑
                                    #40

                                    @李明 4080S的CUDA强,目前看来。如果不介意钱,就买4080S。

                                    V 1 条回复 最后回复
                                    0
                                    • sirwangS 离线
                                      sirwangS 离线
                                      sirwang
                                      编写于 最后由 编辑
                                      #41

                                      3f9c8453-1dad-4e62-9799-67586010c458-image.jpeg
                                      e3721e7a-9ba0-4372-a6d4-28b76fb519b3-image.jpeg

                                      8并发。 40轮。 压下来了,相当帅。差不多180 token/s,我个人觉得已经超过我的期望值了。

                                      1 条回复 最后回复
                                      0
                                      • 墙内人墙 离线
                                        墙内人墙 离线
                                        墙内人
                                        编写于 最后由 编辑
                                        #42

                                        外星人观摩现场,很少看到如此详细的英特尔显卡实测数据

                                        1 条回复 最后回复
                                        0
                                        • Gerry WangG 离线
                                          Gerry WangG 离线
                                          Gerry Wang
                                          编写于 最后由 编辑
                                          #43

                                          你的这个信息很有价值,如果仅仅生图就能强过4090的话,已经可以有很多本地的事情能做了。LTX/WAN这边,不知道480P的测试数据如何?如果480P已经可行的话,对于一些手机短视频,我觉得已经满足了。

                                          1 条回复 最后回复
                                          0

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