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  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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  • 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
                  },
                  "version": "7.5.2",
                  "input_ue_unconnectable": {}
                },
                "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",
                    "directory": "text_encoders"
                  }
                ],
                "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": [
                -146.39059612263827,
                -17.514527994231976
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              "size": [
                396.1328125,
                68.33333333333334
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              "flags": {},
              "order": 2,
              "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",
                "ver": "0.5.1",
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                "ue_properties": {
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                    "vae_name": true
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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,
                "secondTabText": "Send Back",
                "secondTabOffset": 80,
                "secondTabWidth": 65,
                "ttNbgOverride": {
                  "color": "#332922",
                  "bgcolor": "#593930",
                  "groupcolor": "#b06634"
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              },
              "widgets_values": [
                "qwen_image_vae.safetensors"
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              "color": "#332922",
              "bgcolor": "#593930"
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            {
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              "type": "FluxKontextImageScale",
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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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                "hasSecondTab": false,
                "secondTabText": "Send Back",
                "secondTabOffset": 80,
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              },
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                  "label": "模型",
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                },
                {
                  "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": [
                    1
                  ]
                }
              ],
              "properties": {
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                "Node name for S&R": "LoraLoaderModelOnly",
                "ue_properties": {
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                    "lora_name": true,
                    "strength_model": true
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                  "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,
                "ttNbgOverride": {
                  "color": "#332922",
                  "bgcolor": "#593930",
                  "groupcolor": "#b06634"
                }
              },
              "widgets_values": [
                "Qwen-Image-Edit-2511-Lightning-4steps-V1.0-fp32.safetensors",
                1
              ],
              "color": "#332922",
              "bgcolor": "#593930"
            },
            {
              "id": 5,
              "type": "TextEncodeQwenImageEditPlus",
              "pos": [
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              "size": [
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                {
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              ],
              "outputs": [
                {
                  "label": "图像",
                  "name": "IMAGE",
                  "type": "IMAGE",
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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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                "inputs": [],
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                  "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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                },
                "widgets_values": [
                  "<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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                  346.3903358490907,
                  -56.08507473664949
                ],
                "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",
                  "ue_properties": {
                    "widget_ue_connectable": {
                      "camera_data": true
                    },
                    "version": "7.5.2",
                    "input_ue_unconnectable": {}
                  },
                  "ttNbgOverride": {
                    "color": "#332922",
                    "bgcolor": "#593930",
                    "groupcolor": "#b06634"
                  }
                },
                "widgets_values": [
                  "{\"azimuth\":225,\"elevation\":-30,\"distance\":\"close-up\",\"include_trigger\":true}",
                  ""
                ],
                "color": "#332922",
                "bgcolor": "#593930"
              },
              {
                "id": 12,
                "type": "LoadImage",
                "pos": [
                  -1045.7126666666695,
                  -374.68955555555544
                ],
                "size": [
                  850,
                  1220
                ],
                "flags": {},
                "order": 7,
                "mode": 0,
                "inputs": [
                  {
                    "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",
                    "name": "MASK",
                    "type": "MASK",
                    "links": null
                  }
                ],
                "properties": {
                  "cnr_id": "comfy-core",
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                  "tabWidth": 65,
                  "tabXOffset": 10,
                  "hasSecondTab": false,
                  "secondTabText": "Send Back",
                  "secondTabOffset": 80,
                  "secondTabWidth": 65,
                  "ttNbgOverride": {
                    "color": "#332922",
                    "bgcolor": "#593930",
                    "groupcolor": "#b06634"
                  },
                  "#sdppp_variant": "default",
                  "#sdppp_simple_content": "canvas",
                  "#sdppp_simple_mask": "canvas",
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                  "#sdppp_label": ""
                },
                "widgets_values": [
                  "微信图片_20260515114607_5418_3.png",
                  "image"
                ],
                "color": "#332922",
                "bgcolor": "#593930"
              }
            ],
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            "version": 0.4
          }
          
          
          
          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
                                        • M 离线
                                          M 离线
                                          mraksugar
                                          编写于 最后由 编辑
                                          #44

                                          @sirwang 请继续发布inter显卡生态测试到的边界信息,谢谢。

                                          1 条回复 最后回复
                                          0

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