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  4. 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
b70prointel
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  • sirwangS sirwang

    https://github.com/intel/llm-scaler/tree/main

    这是INTEL 官方公开的支持 B50/60/70 系列显卡的 comfyui 的docker 地址。他们还是做了不少适配的。下边有表:

    https://github.com/intel/llm-scaler/tree/main#supported-models

    Model Name FP16 Dynamic Online FP8 Dynamic Online Int4 MXFP4 Notes
    openai/gpt-oss-20b ✅
    openai/gpt-oss-120b ✅
    deepseek-ai/DeepSeek-R1-Distill-Qwen-1.5B ✅ ✅ ✅
    deepseek-ai/DeepSeek-R1-Distill-Qwen-7B ✅ ✅ ✅
    deepseek-ai/DeepSeek-R1-Distill-Llama-8B ✅ ✅ ✅
    deepseek-ai/DeepSeek-R1-Distill-Qwen-14B ✅ ✅ ✅
    deepseek-ai/DeepSeek-R1-Distill-Qwen-32B ✅ ✅ ✅
    deepseek-ai/DeepSeek-R1-Distill-Llama-70B ✅ ✅ ✅
    deepseek-ai/DeepSeek-R1-0528-Qwen3-8B ✅ ✅ ✅
    deepseek-ai/DeepSeek-V2-Lite ✅ ✅ export VLLM_MLA_DISABLE=1
    deepseek-ai/deepseek-coder-33b-instruct ✅ ✅ ✅
    Qwen/Qwen3-8B ✅ ✅ ✅
    Qwen/Qwen3-14B ✅ ✅ ✅
    Qwen/Qwen3-32B ✅ ✅ ✅
    Qwen/Qwen3-30B-A3B ✅ ✅ ✅
    Qwen/Qwen3-235B-A22B ✅
    Qwen/Qwen3-Coder-30B-A3B-Instruct ✅ ✅ ✅
    Qwen/Qwen3-Coder-Next ✅ ✅
    Qwen/Qwen3.5-27B ✅ ✅ ✅
    Qwen/Qwen3.5-35B-A3B ✅ ✅ ✅
    Qwen/Qwen3.5-122B-A10B ✅ ✅
    Qwen/QwQ-32B ✅ ✅ ✅
    mistralai/Ministral-8B-Instruct-2410 ✅ ✅ ✅
    mistralai/Mixtral-8x7B-Instruct-v0.1 ✅ ✅ ✅
    meta-llama/Llama-3.1-8B ✅ ✅ ✅
    meta-llama/Llama-3.1-70B ✅ ✅ ✅
    baichuan-inc/Baichuan2-7B-Chat ✅ ✅ ✅ with chat_template
    baichuan-inc/Baichuan2-13B-Chat ✅ ✅ ✅ with chat_template
    THUDM/CodeGeex4-All-9B ✅ ✅ ✅ with chat_template
    zai-org/GLM-4-9B-0414 ✅ use bfloat16
    zai-org/GLM-4-32B-0414 ✅ use bfloat16
    zai-org/GLM-4.5-Air ✅ ✅
    zai-org/GLM-4.7-Flash ✅ ✅
    ByteDance-Seed/Seed-OSS-36B-Instruct ✅ ✅ ✅
    miromind-ai/MiroThinker-v1.5-30B ✅ ✅ ✅
    tencent/Hunyuan-0.5B-Instruct ✅ ✅ ✅ follow the guide in here
    tencent/Hunyuan-7B-Instruct ✅ ✅ ✅ follow the guide in here
    Qwen/Qwen2-VL-7B-Instruct ✅ ✅ ✅
    Qwen/Qwen2.5-VL-7B-Instruct ✅ ✅ ✅
    Qwen/Qwen2.5-VL-32B-Instruct ✅ ✅ ✅
    Qwen/Qwen2.5-VL-72B-Instruct ✅ ✅ ✅
    Qwen/Qwen3-VL-4B-Instruct ✅ ✅ ✅
    Qwen/Qwen3-VL-8B-Instruct ✅ ✅ ✅
    Qwen/Qwen3-VL-30B-A3B-Instruct ✅ ✅ ✅
    openbmb/MiniCPM-V-2_6 ✅ ✅ ✅
    openbmb/MiniCPM-V-4 ✅ ✅ ✅
    openbmb/MiniCPM-V-4_5 ✅ ✅ ✅
    OpenGVLab/InternVL2-8B ✅ ✅ ✅
    OpenGVLab/InternVL3-8B ✅ ✅ ✅
    OpenGVLab/InternVL3_5-8B ✅ ✅ ✅
    OpenGVLab/InternVL3_5-30B-A3B ✅ ✅ ✅
    rednote-hilab/dots.ocr ✅ ✅ ✅
    ByteDance-Seed/UI-TARS-7B-DPO ✅ ✅ ✅
    google/gemma-3-12b-it ✅ use bfloat16
    google/gemma-3-27b-it ✅ use bfloat16
    THUDM/GLM-4v-9B ✅ ✅ ✅ with --hf-overrides and chat_template
    zai-org/GLM-4.1V-9B-Base ✅ ✅ ✅
    zai-org/GLM-4.1V-9B-Thinking ✅ ✅ ✅
    zai-org/Glyph ✅ ✅ ✅
    opendatalab/MinerU2.5-2509-1.2B ✅ ✅ ✅
    baidu/ERNIE-4.5-VL-28B-A3B-Thinking ✅ ✅ ✅
    zai-org/GLM-4.6V-Flash ✅ ✅ ✅ pip install transformers==5.0.0rc0 first
    PaddlePaddle/PaddleOCR-VL ✅ ✅ ✅ follow the guide in here
    deepseek-ai/DeepSeek-OCR ✅ ✅ ✅
    deepseek-ai/DeepSeek-OCR-2 ✅ ✅ ✅ There may be accuracy issues when using --quantization fp8
    moonshotai/Kimi-VL-A3B-Thinking-2506 ✅ ✅ ✅
    Qwen/Qwen2.5-Omni-7B ✅ ✅ ✅
    Qwen/Qwen3-Omni-30B-A3B-Instruct ✅ ✅ ✅
    openai/whisper-medium ✅ ✅ ✅
    openai/whisper-large-v3 ✅ ✅ ✅
    Qwen/Qwen3-Embedding-8B ✅ ✅ ✅
    Qwen3-VL-Embedding-2B/8B ✅ ✅ ✅ follow the guide in here
    BAAI/bge-m3 ✅ ✅ ✅
    BAAI/bge-large-en-v1.5 ✅ ✅ ✅
    Qwen/Qwen3-Reranker-8B ✅ ✅ ✅
    Qwen3-VL-Reranker-2B/8B ✅ ✅ ✅ follow the guide in here
    BAAI/bge-reranker-large ✅ ✅ ✅
    BAAI/bge-reranker-v2-m3 ✅ ✅ ✅

    David ZhangD 离线
    David ZhangD 离线
    David Zhang
    技术大牛 劳动模范
    发表于 最后由 编辑
    #19

    @sirwang 等你测试反馈

    1 条回复 最后回复
    0
    • terryT 离线
      terryT 离线
      terry
      超级版主
      发表于 最后由 编辑
      #20

      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。

      油管:https://www.youtube.com/@抡锤者

      sirwangS 1 条回复 最后回复
      0
      • 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 离线
        sirwangS 离线
        sirwang
        超级版主
        发表于 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
          超级版主
          发表于 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
            超级版主
            发表于 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
              德高望重
              发表于 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

              最近开始玩LLM和COMFYUI
              手头只有RTX4060

              考虑购入RTX2080TI22G娱乐一下

              1 条回复 最后回复
              0
              • 系统 于 取消固定此主题
              • sirwangS 离线
                sirwangS 离线
                sirwang
                超级版主
                发表于 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
                  超级版主
                  发表于 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
                    超级版主
                    发表于 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,
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                            "tabWidth": 65,
                            "tabXOffset": 10,
                            "hasSecondTab": false,
                            "secondTabText": "Send Back",
                            "secondTabOffset": 80,
                            "secondTabWidth": 65,
                            "ttNbgOverride": {
                              "color": "#332922",
                              "bgcolor": "#593930",
                              "groupcolor": "#b06634"
                            }
                          },
                          "widgets_values": [],
                          "color": "#332922",
                          "bgcolor": "#593930"
                        },
                    
                    
                    
                    
                    

                    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
                      超级版主
                      发表于 最后由 编辑
                      #28

                      请把俩代码合一块。就可以了。

                          {
                            "id": 26,
                            "type": "SaveImage",
                            "pos": [
                              1145.1501729206636,
                              195.07454751045992
                            ],
                            "size": [
                              267.9266338657344,
                              433.279270302052
                            ],
                            "flags": {},
                            "order": 21,
                            "mode": 0,
                            "inputs": [
                              {
                                "label": "图像组",
                                "name": "images",
                                "type": "IMAGE",
                                "link": 29
                              },
                              {
                                "label": "文件名前缀",
                                "name": "filename_prefix",
                                "type": "STRING",
                                "widget": {
                                  "name": "filename_prefix"
                                },
                                "link": null
                              }
                            ],
                            "outputs": [],
                            "properties": {
                              "cnr_id": "comfy-core",
                              "ver": "0.6.0",
                              "Node name for S&R": "SaveImage",
                              "ue_properties": {
                                "widget_ue_connectable": {},
                                "input_ue_unconnectable": {},
                                "version": "7.5.2"
                              },
                              "ttNbgOverride": {
                                "color": "#332922",
                                "bgcolor": "#593930",
                                "groupcolor": "#b06634"
                              }
                            },
                            "widgets_values": [
                              "ComfyUI"
                            ],
                            "color": "#332922",
                            "bgcolor": "#593930"
                          },
                          {
                            "id": 11,
                            "type": "PreviewImage",
                            "pos": [
                              1487.4226159090695,
                              -382.86645688700804
                            ],
                            "size": [
                              861.0544444444449,
                              1199.7606666666666
                            ],
                            "flags": {},
                            "order": 20,
                            "mode": 0,
                            "inputs": [
                              {
                                "label": "图像组",
                                "name": "images",
                                "type": "IMAGE",
                                "link": 17
                              }
                            ],
                            "outputs": [],
                            "properties": {
                              "cnr_id": "comfy-core",
                              "ver": "0.6.0",
                              "Node name for S&R": "PreviewImage",
                              "ue_properties": {
                                "widget_ue_connectable": {},
                                "version": "7.5.2",
                                "input_ue_unconnectable": {}
                              },
                              "ttNbgOverride": {
                                "color": "#332922",
                                "bgcolor": "#593930",
                                "groupcolor": "#b06634"
                              }
                            },
                            "widgets_values": [],
                            "color": "#332922",
                            "bgcolor": "#593930"
                          },
                          {
                            "id": 25,
                            "type": "Note",
                            "pos": [
                              2890.282933565041,
                              -663.9119545246833
                            ],
                            "size": [
                              421.42547299979583,
                              1472.8439775316037
                            ],
                            "flags": {},
                            "order": 3,
                            "mode": 0,
                            "inputs": [],
                            "outputs": [],
                            "properties": {
                              "ue_properties": {
                                "widget_ue_connectable": {},
                                "version": "7.5.2",
                                "input_ue_unconnectable": {}
                              }
                            },
                            "widgets_values": [
                              "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
                            ],
                            "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
                            ],
                            "size": [
                              400.4109260819468,
                              258.660770021565
                            ],
                            "flags": {},
                            "order": 13,
                            "mode": 0,
                            "inputs": [
                              {
                                "label": "CLIP",
                                "name": "clip",
                                "type": "CLIP",
                                "link": 18
                              },
                              {
                                "label": "VAE",
                                "name": "vae",
                                "shape": 7,
                                "type": "VAE",
                                "link": 19
                              },
                              {
                                "label": "图像1",
                                "name": "image1",
                                "shape": 7,
                                "type": "IMAGE",
                                "link": 20
                              },
                              {
                                "label": "图像2",
                                "name": "image2",
                                "shape": 7,
                                "type": "IMAGE",
                                "link": null
                              },
                              {
                                "label": "图像3",
                                "name": "image3",
                                "shape": 7,
                                "type": "IMAGE",
                                "link": null
                              },
                              {
                                "label": "提示词",
                                "name": "prompt",
                                "type": "STRING",
                                "widget": {
                                  "name": "prompt"
                                },
                                "link": 30
                              }
                            ],
                            "outputs": [
                              {
                                "label": "条件",
                                "name": "CONDITIONING",
                                "type": "CONDITIONING",
                                "links": [
                                  3
                                ]
                              }
                            ],
                            "title": "TextEncodeQwenImageEditPlus (Positive)",
                            "properties": {
                              "cnr_id": "comfy-core",
                              "ver": "0.5.1",
                              "Node name for S&R": "TextEncodeQwenImageEditPlus",
                              "ue_properties": {
                                "widget_ue_connectable": {
                                  "prompt": true
                                },
                                "version": "7.5.2",
                                "input_ue_unconnectable": {}
                              },
                              "enableTabs": false,
                              "tabWidth": 65,
                              "tabXOffset": 10,
                              "hasSecondTab": false,
                              "secondTabText": "Send Back",
                              "secondTabOffset": 80,
                              "secondTabWidth": 65
                            },
                            "widgets_values": [
                              "<sks> front view low-angle shot close-up"
                            ],
                            "color": "#232",
                            "bgcolor": "#353"
                          },
                          {
                            "id": 19,
                            "type": "VNCCS_VisualPositionControl",
                            "pos": [
                              -135.64643889289317,
                              113.93573315518134
                            ],
                            "size": [
                              377.25527938354924,
                              400.69737743530504
                            ],
                            "flags": {},
                            "order": 6,
                            "mode": 0,
                            "inputs": [],
                            "outputs": [
                              {
                                "name": "prompt",
                                "type": "STRING",
                                "links": [
                                  30
                                ]
                              }
                            ],
                            "properties": {
                              "cnr_id": "vnccs-utils",
                              "ver": "e8899e8fda5e72744198efecdc6f74f7d88a3b6a",
                              "Node name for S&R": "VNCCS_VisualPositionControl",
                              "ue_properties": {
                                "widget_ue_connectable": {
                                  "camera_data": true
                                },
                                "version": "7.5.2",
                                "input_ue_unconnectable": {}
                              },
                              "ttNbgOverride": {
                                "color": "#332922",
                                "bgcolor": "#593930",
                                "groupcolor": "#b06634"
                              }
                            },
                            "widgets_values": [
                              "{\"azimuth\":225,\"elevation\":-30,\"distance\":\"close-up\",\"include_trigger\":true}",
                              ""
                            ],
                            "color": "#332922",
                            "bgcolor": "#593930"
                          },
                          {
                            "id": 12,
                            "type": "LoadImage",
                            "pos": [
                              -1045.7126666666695,
                              -374.68955555555544
                            ],
                            "size": [
                              850,
                              1220
                            ],
                            "flags": {},
                            "order": 7,
                            "mode": 0,
                            "inputs": [
                              {
                                "label": "图像",
                                "name": "image",
                                "type": "COMBO",
                                "widget": {
                                  "name": "image"
                                },
                                "link": null
                              },
                              {
                                "label": "上传",
                                "name": "upload",
                                "type": "IMAGEUPLOAD",
                                "widget": {
                                  "name": "upload"
                                },
                                "link": null
                              }
                            ],
                            "outputs": [
                              {
                                "label": "图像",
                                "name": "IMAGE",
                                "type": "IMAGE",
                                "links": [
                                  10
                                ]
                              },
                              {
                                "label": "遮罩",
                                "name": "MASK",
                                "type": "MASK",
                                "links": null
                              }
                            ],
                            "properties": {
                              "cnr_id": "comfy-core",
                              "ver": "0.5.1",
                              "Node name for S&R": "LoadImage",
                              "ue_properties": {
                                "widget_ue_connectable": {
                                  "image": true,
                                  "upload": 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"
                              },
                              "#sdppp_variant": "default",
                              "#sdppp_simple_content": "canvas",
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                      1 条回复 最后回复
                      2
                      • sirwangS 离线
                        sirwangS 离线
                        sirwang
                        超级版主
                        发表于 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
                          超级版主
                          发表于 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
                            发表于 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 于 将此主题固定
                            • terryT 离线
                              terryT 离线
                              terry
                              超级版主
                              发表于 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
                                超级版主
                                发表于 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
                                  超级版主
                                  发表于 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
                                    超级版主
                                    发表于 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
                                      发表于 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
                                        技术大牛 劳动模范
                                        发表于 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
                                          德高望重 劳动模范
                                          发表于 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

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

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