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  1. 主页
  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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  • terryT terry

    这特么买个卡,跑个大模型还得去看支持列表?简直受罪。ComfyUI更是不堪入目,我想还是大多数人劝退。

    sirwangS 在线
    sirwangS 在线
    sirwang
    编写于 最后由 编辑
    #21

    @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 1 条回复 最后回复
    0
    • 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 在线
        sirwangS 在线
        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 在线
            sirwangS 在线
            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 在线
              sirwangS 在线
              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 在线
                sirwangS 在线
                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": [
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                        -17.514527994231976
                      ],
                      "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",
                        "Node name for S&R": "VAELoader",
                        "ue_properties": {
                          "widget_ue_connectable": {
                            "vae_name": true
                          },
                          "version": "7.5.2",
                          "input_ue_unconnectable": {}
                        },
                        "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": [
                        -133.49182202879047,
                        560.4714628108627
                      ],
                      "size": [
                        377.0828198681851,
                        37.03860129882946
                      ],
                      "flags": {},
                      "order": 9,
                      "mode": 0,
                      "inputs": [
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                          "label": "图像",
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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 在线
                  sirwangS 在线
                  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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                          "正面视图低角度特写:<sks> front view low-angle shot close-up\n\n右前侧视图低角度特写:<sks> front-right quarter view low-angle shot close-up\n\n右侧视图低角度特写:<sks> right side view low-angle shot close-up\n\n右后侧视图低角度特写:<sks> back-right quarter view low-angle shot close-up\n\n背面视图低角度特写:<sks> back view low-angle shot close-up\n\n左后侧视图低角度特写:<sks> back-left quarter view low-angle shot close-up\n\n左侧视图低角度特写:<sks> left side view low-angle shot close-up\n\n左前侧视图低角度特写:<sks> front-left quarter view low-angle shot close-up\n\n正面视图平视特写:<sks> front view eye-level shot close-up\n\n右前侧视图平视特写:<sks> front-right quarter view eye-level shot close-up\n\n右侧视图平视特写:<sks> right side view eye-level shot close-up\n\n右后侧视图平视特写:<sks> back-right quarter view eye-level shot close-up\n\n背面视图平视特写:<sks> back view eye-level shot close-up\n\n左后侧视图平视特写:<sks> back-left quarter view eye-level shot close-up\n\n左侧视图平视特写:<sks> left side view eye-level shot close-up\n\n左前侧视图平视特写:<sks> front-left quarter view eye-level shot close-up\n\n正面视图高位拍摄特写:<sks> front view elevated shot close-up\n\n右前侧视图高位拍摄特写:<sks> front-right quarter view elevated shot close-up\n\n右侧视图高位拍摄特写:<sks> right side view elevated shot close-up\n\n右后侧视图高位拍摄特写:<sks> back-right quarter view elevated shot close-up\n\n背面视图高位拍摄特写:<sks> back view elevated shot close-up\n\n左后侧视图高位拍摄特写:<sks> back-left quarter view elevated shot close-up\n\n左侧视图高位拍摄特写:<sks> left side view elevated shot close-up\n\n左前侧视图高位拍摄特写:<sks> front-left quarter view elevated shot close-up\n\n正面视图高角度特写:<sks> front view high-angle shot close-up\n\n右前侧视图高角度特写:<sks> front-right quarter view high-angle shot close-up\n\n右侧视图高角度特写:<sks> right side view high-angle shot close-up\n\n右后侧视图高角度特写:<sks> back-right quarter view high-angle shot close-up\n\n背面视图高角度特写:<sks> back view high-angle shot close-up\n\n左后侧视图高角度特写:<sks> back-left quarter view high-angle shot close-up\n\n左侧视图高角度特写:<sks> left side view high-angle shot close-up\n\n左前侧视图高角度特写:<sks> front-left quarter view high-angle shot close-up\n\n正面视图低角度中景:<sks> front view low-angle shot medium shot\n\n右前侧视图低角度中景:<sks> front-right quarter view low-angle shot medium shot\n\n右侧视图低角度中景:<sks> right side view low-angle shot medium shot\n\n右后侧视图低角度中景:<sks> back-right quarter view low-angle shot medium shot\n\n背面视图低角度中景:<sks> back view low-angle shot medium shot\n\n左后侧视图低角度中景:<sks> back-left quarter view low-angle shot medium shot\n\n左侧视图低角度中景:<sks> left side view low-angle shot medium shot\n\n左前侧视图低角度中景:<sks> front-left quarter view low-angle shot medium shot\n\n正面视图平视中景:<sks> front view eye-level shot medium shot\n\n右前侧视图平视中景:<sks> front-right quarter view eye-level shot medium shot\n\n右侧视图平视中景:<sks> right side view eye-level shot medium shot\n\n右后侧视图平视中景:<sks> back-right quarter view eye-level shot medium shot\n\n背面视图平视中景:<sks> back view eye-level shot medium shot\n\n左后侧视图平视中景:<sks> back-left quarter view eye-level shot medium shot\n\n左侧视图平视中景:<sks> left side view eye-level shot medium shot\n\n左前侧视图平视中景:<sks> front-left quarter view eye-level shot medium shot\n\n正面视图高位拍摄中景:<sks> front view elevated shot medium shot\n\n右前侧视图高位拍摄中景:<sks> front-right quarter view elevated shot medium shot\n\n右侧视图高位拍摄中景:<sks> right side view elevated shot medium shot\n\n右后侧视图高位拍摄中景:<sks> back-right quarter view elevated shot medium shot\n\n背面视图高位拍摄中景:<sks> back view elevated shot medium shot\n\n左后侧视图高位拍摄中景:<sks> back-left quarter view elevated shot medium shot\n\n左侧视图高位拍摄中景:<sks> left side view elevated shot medium shot\n\n左前侧视图高位拍摄中景:<sks> front-left quarter view elevated shot medium shot\n\n正面视图高角度中景:<sks> front view high-angle shot medium shot\n\n右前侧视图高角度中景:<sks> front-right quarter view high-angle shot medium shot\n\n右侧视图高角度中景:<sks> right side view high-angle shot medium shot\n\n右后侧视图高角度中景:<sks> back-right quarter view high-angle shot medium shot\n\n背面视图高角度中景:<sks> back view high-angle shot medium shot\n\n左后侧视图高角度中景:<sks> back-left quarter view high-angle shot medium shot\n\n左侧视图高角度中景:<sks> left side view high-angle shot medium shot\n\n左前侧视图高角度中景:<sks> front-left quarter view high-angle shot medium shot\n\n正面视图低角度广角:<sks> front view low-angle shot wide shot\n\n右前侧视图低角度广角:<sks> front-right quarter view low-angle shot wide shot\n\n右侧视图低角度广角:<sks> right side view low-angle shot wide shot\n\n右后侧视图低角度广角:<sks> back-right quarter view low-angle shot wide shot\n\n背面视图低角度广角:<sks> back view low-angle shot wide shot\n\n左后侧视图低角度广角:<sks> back-left quarter view low-angle shot wide shot\n\n左侧视图低角度广角:<sks> left side view low-angle shot wide shot\n\n左前侧视图低角度广角:<sks> front-left quarter view low-angle shot wide shot"
                        ],
                        "color": "#223",
                        "bgcolor": "#335"
                      },
                      {
                        "id": 27,
                        "type": "Note",
                        "pos": [
                          -1009.7430949133999,
                          -667.218084639018
                        ],
                        "size": [
                          3344.867777777771,
                          172.79096969696934
                        ],
                        "flags": {},
                        "order": 4,
                        "mode": 0,
                        "inputs": [],
                        "outputs": [],
                        "properties": {
                          "ue_properties": {
                            "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
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                        "size": [
                          466.503515625,
                          1468.5173727560402
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                        "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": {}
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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",
                        "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,
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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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                              "camera_data": true
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                            "version": "7.5.2",
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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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                          },
                          {
                            "label": "上传",
                            "name": "upload",
                            "type": "IMAGEUPLOAD",
                            "widget": {
                              "name": "upload"
                            },
                            "link": null
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                        ],
                        "outputs": [
                          {
                            "label": "图像",
                            "name": "IMAGE",
                            "type": "IMAGE",
                            "links": [
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                            ]
                          },
                          {
                            "label": "遮罩",
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                  1 条回复 最后回复
                  2
                  • sirwangS 在线
                    sirwangS 在线
                    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 在线
                      sirwangS 在线
                      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

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                        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 在线
                            sirwangS 在线
                            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。

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                            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 在线
                                sirwangS 在线
                                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。

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                                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 在线
                                    A 在线
                                    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

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                                    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 在线
                                        sirwangS 在线
                                        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 在线
                                          sirwangS 在线
                                          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
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