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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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  • sirwangS sirwang

    @terry 看怎么看了吧。 如果 文生图、文生视频、图生视频、 文生语音、图片反推、视频反推这几个都有相对较好的解决方案。INTEL的卡内存大,省电,最重要的还便宜的话。老大你是否觉得有够买欲望? 比如说32G的这个内存在1W块左右。

    O。这个单张卡最高290瓦的电。

    terryT 离线
    terryT 离线
    terry
    编写于 最后由 编辑
    #22

    @sirwang 我1万块为什么不买AI Pro R9700,我不需要研究任何东西,直接弄回来就能跑,说实话,我宁可多花点钱上4080S 32G,其实我也折腾xtx,纯粹是因为想弄点素材,但是没想到这卡是真好用。

    油管:https://www.youtube.com/@抡锤者

    sirwangS 1 条回复 最后回复
    0
    • terryT terry

      @sirwang 我1万块为什么不买AI Pro R9700,我不需要研究任何东西,直接弄回来就能跑,说实话,我宁可多花点钱上4080S 32G,其实我也折腾xtx,纯粹是因为想弄点素材,但是没想到这卡是真好用。

      sirwangS 离线
      sirwangS 离线
      sirwang
      编写于 最后由 编辑
      #23

      @terry 也对, 看看INTEL的卡可以优化成啥样吧。AI PRO R9700价格还是不错的。 而且现在的4080S 升级内存版还在涨价。但NV的生态是真好。

      1 条回复 最后回复
      0
      • 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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                        "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",
                          "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",
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                      -17.514527994231976
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                    "size": [
                      396.1328125,
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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",
                      "Node name for S&R": "VAELoader",
                      "ue_properties": {
                        "widget_ue_connectable": {
                          "vae_name": true
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                        "version": "7.5.2",
                        "input_ue_unconnectable": {}
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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"
                      }
                    },
                    "widgets_values": [
                      "qwen_image_vae.safetensors"
                    ],
                    "color": "#332922",
                    "bgcolor": "#593930"
                  },
                  {
                    "id": 8,
                    "type": "FluxKontextImageScale",
                    "pos": [
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                      560.4714628108627
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                    "size": [
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                      37.03860129882946
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                    "flags": {},
                    "order": 9,
                    "mode": 0,
                    "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",
                      "ver": "0.5.1",
                      "Node name for S&R": "FluxKontextImageScale",
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                        "input_ue_unconnectable": {}
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                      "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": [],
                    "color": "#332922",
                    "bgcolor": "#593930"
                  },
                  {
                    "id": 15,
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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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                          "widget_ue_connectable": {},
                          "version": "7.8",
                          "input_ue_unconnectable": {}
                        }
                      },
                      "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"
                      ],
                      "color": "#232",
                      "bgcolor": "#353"
                    },
                    {
                      "id": 20,
                      "type": "Note",
                      "pos": [
                        2392.2425113410113,
                        -661.9303860055464
                      ],
                      "size": [
                        466.503515625,
                        1468.5173727560402
                      ],
                      "flags": {},
                      "order": 5,
                      "mode": 0,
                      "inputs": [],
                      "outputs": [],
                      "title": "All prompt possible for the Lora Qwen image edit multiple angles",
                      "properties": {
                        "ue_properties": {
                          "widget_ue_connectable": {},
                          "version": "7.5.2",
                          "input_ue_unconnectable": {}
                        }
                      },
                      "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",
                      "pos": [
                        346.3903358490907,
                        -56.08507473664949
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                      "size": [
                        400.4109260819468,
                        258.660770021565
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                      "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
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                      "size": [
                        377.25527938354924,
                        400.69737743530504
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                      "flags": {},
                      "order": 6,
                      "mode": 0,
                      "inputs": [],
                      "outputs": [
                        {
                          "name": "prompt",
                          "type": "STRING",
                          "links": [
                            30
                          ]
                        }
                      ],
                      "properties": {
                        "cnr_id": "vnccs-utils",
                        "ver": "e8899e8fda5e72744198efecdc6f74f7d88a3b6a",
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                        "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": [
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                        -374.68955555555544
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                      "size": [
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                      "flags": {},
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                          "type": "COMBO",
                          "widget": {
                            "name": "image"
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                          "link": null
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                        {
                          "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
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                      ],
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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

                                          你好!看起来您对这段对话很感兴趣,但您还没有一个账号。

                                          厌倦了每次访问都刷到同样的帖子?您注册账号后,您每次返回时都能精准定位到您上次浏览的位置,并可选择接收新回复通知(通过邮件或推送通知)。您还能收藏书签、为帖子顶,向社区成员表达您的欣赏。

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