Microsoft 遠端桌面

Microsoft 遠端桌面
Microsoft 遠端桌面
Microsoft 遠端桌面
Microsoft 遠端桌面
Microsoft 遠端桌面
Microsoft 遠端桌面
Microsoft 遠端桌面
Microsoft 遠端桌面

使Windows10作為『網盤』『BT』下載機, 再蒞用『Microsoft 遠端桌面

遠程控制下載機.

 

『下載機』開啟遠端桌面

  1. 撳『設定』->『系統』->『關於』->『遠端桌面』
  2. 『啟用遠端桌面』撳『開啟』

 

『下載機』設定電源與睡眠

  1. 『螢幕 插電時, 在下列時間後關閉』揀『永不』
  2. 『睡眠 當電腦連接電源時, 會在下列時間後進入睡眠狀態』揀『永不』
  3. 撳『設定』->『系統』->『關於』->『進階系統設空』
  4. 撳『遠端』
  5. 勾『允許到這部電腦的遠端栛助連線』
  6. 勾『允許遠端連線到此電腦』
  7. 撳『套用』

 

Microsoft 遠端桌面

  1. 撳『+新增』
  2. 『電腦名稱』填『下載機』名稱
  3. 『使用者帳戶』填『下載機』登入帳戶

TrueNAS-虛擬機Windows10

TrueNAS-虛擬機Windows10
TrueNAS-虛擬機Windows10
TrueNAS-虛擬機Windows10
TrueNAS-虛擬機Windows10
TrueNAS-虛擬機Windows10
TrueNAS-虛擬機Windows10
TrueNAS-虛擬機Windows10
TrueNAS-虛擬機Windows10
TrueNAS-虛擬機Windows10
TrueNAS-虛擬機Windows10
TrueNAS-虛擬機Windows10
TrueNAS-虛擬機Windows10
TrueNAS-虛擬機Windows10
TrueNAS-虛擬機Windows10
TrueNAS-虛擬機Windows10
TrueNAS-虛擬機Windows10
TrueNAS-虛擬機Windows10
TrueNAS-虛擬機Windows10

利用TrueNAS虛擬機装Windows10, 作為『網盤』『BT』下載機, 再蒞用 『Microsoft 遠端桌面』遠程控制下載機.

首先借『MediaCreationTool_22H2.exe』下載『Windows10-x64.iso』鏡像.

https://www.microsoft.com/zh-hk/software-download/windows10

下載虛擬機驅動『Stable virtio-win.iso

https://github.com/virtio-win/virtio-win-pkg-scripts/blob/master/README.md

將『Windows10-x64.iso』同埋『virtio-win.iso』擺係NAS

/mnt/pool0/dataset/

分配Windows10磁碟

  1. 撳『dataset資料集』
  2. 撳『pool0->windows10』.
  3. 撳『新增 Zvol』
  4. 『Zvol name』填『disk』
  5. 『zvol size』填『128 GiB』, 『Win10』+『網盤』+『BT』最細要
  6. 撳『儲存』.

 

設置網路

電腦要兩wlan網口,兩條網線.壹個畀『TrueNAS』『enp6s0』, 壹個畀『Win10』『enp5s0』.

 

設置虛擬機

  1. 『https://192.168.1.X/』登入TRUENAS後台.
  2. 用『admin』號登入
  3. 撳『虛擬機』
  4. 撳『new』新增虛擬機
  5. 虛擬機類型『Guest作業糸統』揀『Windows』
  6. 勾『Enable Hyper-V Enlightenments』
  7. 『name名稱』填『Windows10』
  8. 『系統時鐘』填『本機』
  9. 『啟動方式』揀『UEFI』
  10. 勾『開機時啟動』
  11. 勾『啟用顯示器』
  12. 『繫結』揀『0.0.0』
  13. 『密碼』填登錄密碼
  14. 『虛擬 CPU』揀『1』
  15. 『核心』揀『2』
  16. 『執行緒』揀『2』
  17. 『CPU 模式』揀『Host-passthrough』物理CPU暴露
  18. 『記憶體大小』填『4 GiB』
  19. 勾『使用既有磁碟映像』
  20. 『選擇磁碟類型』揀『AHCI』
  21. 『Select Existing Zvol』揀『pool0/Windows10/disk』
  22. 『介面卡類型』揀『VirtIO』
  23. 『附加網路介面卡』揀『enp5s0』
  24. 『Windows鏡像』揀『/mnt/pool0/dataset/Windows10-x64.iso』
  25. 勾『Ensure Display Device』
  26. 撳『儲存』.

 

挂載虛擬機驅動『virtio-win.iso

  1. 撳『虛擬化』->『Windows10』->『裝置』
  2. 撳『新增』
  3. 『類型』揀『CD-ROM』
  4. 『CD-ROM 路徑』填『/mnt/pool0/dataset/virtio-win.iso』.
  5. 撳『儲存』.

 

著『Win10』虛擬機

  1. 撳『虛擬化』->『Windows10』
  2. 撳『開始』
  3. 撳『Display』
  4. 『Please enter your password:』填登錄密碼
  5. 當睇見『Press any key to boot from CD or DVD…』撳鍵盤,登錄Windows10安將向導.
  6. 錯過『Press any key to boot from CD or DVD…』轉入『UEFI Interactive Shell v2.1』.
  7. 『Shell>』填『exit』登錄『BIOS』.
  8. 撳『Boot Manager』揀啟動設備.
  9. 撳『EFI DVD/CDROM』登錄『Windows10』安装向導.

 

装網卡驅程

  1. 登錄『装置管理員』
  2. 撳『Ethernet控制卡』, 更新驅程.
  3. 指定驅程搜索『virtio-win』
  4. 装『Windows10』後刪冚辦闌『CDROM』.
  5. 撥『鍵盤』『滑鼠』『屏』
  6. 擺係角落
  7. 利用『Microsoft 遠端桌面』遠程控制

 

但系點解吾直接裝Windows10充份利用CPU同Memory, 再蒞『Microsoft 遠端桌面』遠程控制下載機.

 

 

 

 

CPU模式  
Custom 虛擬 CPU,性能相对差
Host-model  
Host-passthrough 物理CPU暴露畀虛擬機,虛擬機睇到物理CPU型號

 

 

 

Stable Diffusion外網訪問–share

Stable Diffusion外網訪問--share
Stable Diffusion外網訪問–share

Stable_Diffusion_share

Stable Diffusion外網訪問–share

之前利用『–listen』係內網訪問『Stable Diffusion』電腦,利用『–share』係外網訪問『Stable Diffusion』.

  1. 編缉『webui-user.bat』
C:\stable-diffusion-webui\webui-user.bat
  1. 對『bat』添加『– share』参數.
set COMMANDLINE_ARGS=–share
  1. 下載『frpc_windows_amd64.exe』.
https://cdn-media.huggingface.co/frpc-gradio-0.2/frpc_windows_amd64.exe
  1. 重命名為『frpc_windows_amd64_v0.2』,冇擴展名.
  2. 复制到『gradio』資料夾
C:\stable-diffusion-webui\venv\lib\site-packages\gradio
  1. 得到『https://684da9579597aa77c4.gradio.live』 此鏈接在72小時後過期
https://684da9579597aa77c4.gradio.live

 

1. Download this file: https://cdn-media.huggingface.co/frpc-gradio-0.2/frpc_windows_amd64.exe
2. Rename the downloaded file to: frpc_windows_amd64_v0.2
3. Move the file to this location: C:\stable-diffusion-webui\venv\lib\site-packages\gradio

 

This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)

 

Stable Diffusion下載安裝-ControlNet

Stable Diffusion下載安裝-ControlNet
Stable Diffusion下載安裝-ControlNet
Stable Diffusion下載安裝-ControlNet
Stable Diffusion下載安裝-ControlNet
Stable Diffusion下載安裝-ControlNet
Stable Diffusion下載安裝-ControlNet

『ControlNet』含『插件』『模型』分開下載.

『Stable Diffusion』裝『插件』需編輯『webui-user.bat』,加入命令行参式『–enable-insecure-extension-access』啟用插件訪問.

C:\stable-diffusion-webui\webui-user.bat
set COMMANDLINE_ARGS=–listen –enable-insecure-extension-access

下載插件方式1:

  1. 撳『Extensions擴展』->『Install from URL係網裝』
  2. 『URL for extension’s git repository』填『https://github.com/Mikubill/sd-webui-controlnet
https://github.com/Mikubill/sd-webui-controlnet.git
  1. 撳『Install』下載

 

下載插件方式2:

  1. 撳『Extensions擴展』->『Available可下載』
https://raw.githubusercontent.com/AUTOMATIC1111/stable-diffusion-webui-extensions/master/index.json
  1. 撳『Load from:加載擴展列表』搜索下載列表.
  2. 『sd-webui-controlnet』撳『Install』下載

 

  1. 撳『Extensions擴展』->『Installed已裝』
  2. 撳『Check for updates檢查更新』
  3. 撳『Apply and restart UI應用後重啟界面』
  4. 係『txt2img』『img2img』下側『ControlNet』
  5. 如果出錯刪下列檔䅁夾, 在重新下載
C:\stable-diffusion-webui\extensions\sd-webui-controlnet
C:\stable-diffusion-webui\tmp\sd-webui-controlnet

 

『雙精度模型』『ControlNet-v1-1

https://huggingface.co/lllyasviel/ControlNet-v1-1/tree/main

下載『ControlNet』雙精度模型.

control_v11e_sd15_ip2p.pth InstructP2P
control_v11e_sd15_ip2p.yaml  
control_v11e_sd15_shuffle.pth Shuffle随機洗牌
control_v11e_sd15_shuffle.yaml  
control_v11f1e_sd15_tile.pth Tile/Blur
control_v11f1e_sd15_tile.yaml  
control_v11f1p_sd15_depth.pth Depth深度
control_v11f1p_sd15_depth.yaml  
control_v11p_sd15_canny.pth Canny硬邊緣
control_v11p_sd15_canny.yaml  
control_v11p_sd15_inpaint.pth Inpaint局部重繪
control_v11p_sd15_inpaint.yaml  
control_v11p_sd15_lineart.pth Lineart線稿
control_v11p_sd15_lineart.yaml  
control_v11p_sd15_mlsd.pth MLSD直線
control_v11p_sd15_mlsd.yaml  
control_v11p_sd15_normalbae.pth NormalMap法線貼圖
control_v11p_sd15_normalbae.yaml  
control_v11p_sd15_openpose.pth OpenPose姿勢
control_v11p_sd15_openpose.yaml  
control_v11p_sd15_scribble.pth Scribble䓍圖
control_v11p_sd15_scribble.yaml  
control_v11p_sd15_seg.pth Segmentation語義分割
control_v11p_sd15_seg.yaml  
control_v11p_sd15_softedge.pth SoftEdge軟邊緣
control_v11p_sd15_softedge.yaml  
control_v11p_sd15s2_lineart_anime.pth Lineart anime動圖線稿
control_v11p_sd15s2_lineart_anime.yaml  

 

『單精度模型』

https://huggingface.co/comfyanonymous/ControlNet-v1-1_fp16_safetensors/tree/main

下載『ControlNet』單精度模型.

control_lora_rank128_v11e_sd15_ip2p_fp16.safetensors
control_lora_rank128_v11e_sd15_shuffle_fp16.safetensors
control_lora_rank128_v11f1e_sd15_tile_fp16.safetensors
control_lora_rank128_v11f1p_sd15_depth_fp16.safetensors
control_lora_rank128_v11p_sd15_canny_fp16.safetensors
control_lora_rank128_v11p_sd15_inpaint_fp16.safetensors
control_lora_rank128_v11p_sd15_lineart_fp16.safetensors
control_lora_rank128_v11p_sd15_mlsd_fp16.safetensors
control_lora_rank128_v11p_sd15_normalbae_fp16.safetensors
control_lora_rank128_v11p_sd15_openpose_fp16.safetensors
control_lora_rank128_v11p_sd15_scribble_fp16.safetensors
control_lora_rank128_v11p_sd15_seg_fp16.safetensors
control_lora_rank128_v11p_sd15_softedge_fp16.safetensors
control_lora_rank128_v11p_sd15s2_lineart_anime_fp16.safetensors
control_v11e_sd15_ip2p_fp16.safetensors
control_v11e_sd15_shuffle_fp16.safetensors
control_v11f1e_sd15_tile_fp16.safetensors
control_v11f1p_sd15_depth_fp16.safetensors
control_v11p_sd15_canny_fp16.safetensors
control_v11p_sd15_inpaint_fp16.safetensors
control_v11p_sd15_lineart_fp16.safetensors
control_v11p_sd15_mlsd_fp16.safetensors
control_v11p_sd15_normalbae_fp16.safetensors
control_v11p_sd15_normalbae_fp16.safetensors
control_v11p_sd15_openpose_fp16.safetensors
control_v11p_sd15_scribble_fp16.safetensors
control_v11p_sd15_seg_fp16.safetensors
control_v11p_sd15_softedge_fp16.safetensors
control_v11p_sd15s2_lineart_anime_fp16.safetensors
control_v11u_sd15_tile_fp16.safetensors

 

下载支持SDXL1.0-ControlNet模型

https://huggingface.co/lllyasviel/sd_control_collection/tree/main

下載『ControlNet』SDXL1.0模型

https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/diffusers_xl_canny_full.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/diffusers_xl_depth_full.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/ioclab_sd15_recolor.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/ip-adapter_sd15.pth?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/ip-adapter_sd15_plus.pth?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/ip-adapter_xl.pth?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/kohya_controllllite_xl_blur.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/kohya_controllllite_xl_blur_anime.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/kohya_controllllite_xl_blur_anime_beta.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/kohya_controllllite_xl_canny.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/kohya_controllllite_xl_canny_anime.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/kohya_controllllite_xl_depth.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/kohya_controllllite_xl_depth_anime.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/kohya_controllllite_xl_openpose_anime.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/kohya_controllllite_xl_openpose_anime_v2.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/kohya_controllllite_xl_scribble_anime.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sai_xl_canny_128lora.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sai_xl_canny_256lora.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sai_xl_depth_128lora.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sai_xl_depth_256lora.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sai_xl_recolor_128lora.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sai_xl_recolor_256lora.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sai_xl_sketch_128lora.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sai_xl_sketch_256lora.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sargezt_xl_depth.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sargezt_xl_depth_faid_vidit.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sargezt_xl_depth_zeed.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/sargezt_xl_softedge.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/t2i-adapter_diffusers_xl_canny.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/t2i-adapter_diffusers_xl_depth_midas.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/t2i-adapter_diffusers_xl_depth_zoe.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/t2i-adapter_diffusers_xl_lineart.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/t2i-adapter_diffusers_xl_openpose.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/t2i-adapter_diffusers_xl_sketch.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/t2i-adapter_xl_canny.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/t2i-adapter_xl_openpose.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/t2i-adapter_xl_sketch.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/thibaud_xl_openpose.safetensors?download=true
https://huggingface.co/lllyasviel/sd_control_collection/resolve/main/thibaud_xl_openpose_256lora.safetensors?download=true

 

將下載『.pth模型』『.yaml描述』『.safetensors模型』复制至models檔䅁夾

『C:\stable-diffusion-webui\extensions\sd-webui-controlnet\models』

模型標記 模型版本 品質 SD版本 預處理 文檔擴展名
control v11-1.1版 e實驗品 sd15 ip2p .pth模型
  v11f1修正版1 p正品 sd21   .yaml描述
    u半成品     .safetensors模型

 

下载VAE模型

https://huggingface.co/stabilityai/sdxl-vae
sdxl_vae.safetensors

擺係

C:\stable-diffusion-webui\models\VAE

 

  1. 撳『Settings』->『Stable Diffusion』
  2. 『Random number generator source.亂數生成源』揀『CPU』.
  3. 撳『Settings』->『Sampler parameters』
  4. 勾『SGM noise multiplier』將初始雜訊與官方SDXL實現相配-僅適用於再現影像.
  5. 撳『Settings』->『Compatibility』
  6. 勾『Do not make DPM++ SDE deterministic across different batch sizes.』保留 DPM++SDE采样器在不同批量之间结果差异.
  7. 撳『Apply settings』應用設定.
  8. 撳『Reload UI』重置圖形界面.

 

 

係『txt2img』『img2img』下側『ControlNet』

Enable使能 勾選後撳『ControlNet』先啟用.
Low VRAM低顯存 顯存細過4GB,勾選
Pixel Perfect完美像素 自動匹配解像,實現最佳效果
Allow Preview 允許預覽
Effective Region Mask有效區遮擋  
Upload independent control image上傳獨立控制影畫  
Preprocessor預處理  
Model模型  
Control Weight權重 ControlNet對影像影響值, 權重值設0.6~1.1
Starting Control Step 開始介入時機,默認0,叢開始影響影像.
Ending Control Step 結束介入時機,默認1,對影像影響至結束
Annotator resolution 影像解像
Canny-Low threshold 值越低越細致
Canny-High threshold 值越高越粗糙

 

Control類型  
all 冚辦闌
Canny 硬邊緣
Depth 深度
IP-Adapter 圖生圖
Inpaint 局部重繪
Instant-ID  
InstructP2P 指導圖生圖
Lineart 線稿
MLSD 直線
NormalMAP 法線貼圖
OpenPose 姿勢
Recolor 重新上色
Reference 引用
Revision 修正
Scribble 涂鴉
Segmentation 語義分割
Shuffle  
SoftEdge  
SparseCTRL  
T2I-Adapter 文生圖
Tile 平鋪

 

 

Word輸入『』

Word輸入『』
Word輸入『』

Word支持鍵盤輸入十進制UNICODE碼從而生成字符『』. 但係撳END加入亂碼.

字符 UNICODE十進制
ALT+12302
ALT+12303

 

Pro’sKit®剝線鉗CP-505

Pro'sKit®剝線鉗CP-505
Pro’sKit®剝線鉗CP-505

重新接網線RJ45頭,剝線易割傷線芯,買首工剝線鉗,造工吾掂.重新買寶工剝線鉗CP-505.造工靚,控制刀頭開埋.旋轉剝線.

NETGEAR® GS116EV2千兆交換機

NETGEAR® GS116EV2千兆交換機
NETGEAR® GS116EV2千兆交換機
NETGEAR® GS116EV2千兆交換機
NETGEAR® GS116EV2千兆交換機
NETGEAR® GS116EV2千兆交換機
NETGEAR® GS116EV2千兆交換機
NETGEAR® GS116EV2千兆交換機
NETGEAR® GS116EV2千兆交換機
CAT8
CAT8

中古『NETGEAR® GS108』得8網口,諗住買16口『NETGEAR® GS116EV2』.两百幾紋.

『NETGEAR』網口左右各壹眼LED燈.左燈著『100m/bps』带寬,右燈著『10m/bps』带寬, 左右燈著『1000m/bps』带寬.

電腦網卡左燈著係『通電』燈,右燈係信號指示燈.

點知『GS116EV2』有壹個網口得『100m/bps』带寬,可熊係網線造成,重新夾CAT8頭.也可能另壹邊網卡『100m/bps』带寬造成,『JBL-L75MS』係『100m/bps』带寬.

 

 

蒞電著機

『AC Power Loss』『Power On』蒞電著機
『AC Power Loss』『Power On』蒞電著機

仲係『pentium Ⅱ』年代,『INTEL原廠』底板識插電著機, 砌『NAS』『Router』係斷電後『蒞電著機』. 以保障『網络』.

  1. 著機撳『del』鍵, 进入『BIOS』.
  2. 『Advanced』->『Wake Up Function』->『AC Power Loss』
  3. 揀『Power On』蒞電著機.
  4. 揀『Last State』恢复電前状態.

 

JBL-L75MS總合音樂系統

JBL-L75MS總合音樂系統
JBL-L75MS總合音樂系統
JBL-L75MS總合音樂系統
JBL-L75MS總合音樂系統
JBL-L75MS總合音樂系統
JBL-L75MS總合音樂系統
JBL-L75MS總合音樂系統
JBL-L75MS總合音樂系統

 

AUX3.5MM
AUX3.5MM
JBL-L75MS總合音樂系統
JBL-L75MS總合音樂系統
JBL-L75MS總合音樂系統
JBL-L75MS總合音樂系統
JBL-L75MS總合音樂系統
JBL-L75MS總合音樂系統

本蒞諗住買『惠威M-80W』,聽講質量麻麻一直冇落手.

睇中『JBL-L75MS』, 兩個5.25寸低音, 兩個1寸高音, 壹個4寸中音. 總合係單壹箱內.搞特價4798果斷落手.

順風寄蒞,三重紙箱, 『音箱』長790MM摆吾入書架.

附件有『電池』『摇控』『勾』『指南書』『電線』. 冇畀『3.5MM音頻線』, 好在支持『RJ45網線』『WIFI』『USB線』『藍牙』

 

『藍牙』連線

  1. 首先撳『音箱』頂『中間䭈』, 至『藍牙』燈閃
  2. 撳『中間制』3秒吾放
  3. 依加先著『藍牙』,連『JBL-L75ms』.

 

『AUX3.5MM』音箱線

Windows10藍牙連線-吾知係咪藍牙驅動造成,間歇冇聲斷聲,後蒞買两頭3.5MM插頭連線.

 

『WLAN』網口

插網線後,通過手機電腦連線『192.168.1.5』,有可能係其它ip,登錄『音箱』後台. 可以連『wifi』.

 

『USB』口

插USB線冇反應,事因佢插USB磁碟.

  1. 將古仔錄入USB磁碟.
  2. 撳搖控『雲』鍵
  3. 通過『手機』『電腦』連線『http://192.168.1.5/webclient/』
  4. 撳『USB』擇古仔.
  5. 閂網頁後音箱依然播放.
  6. 撳搖控『Play/Pause』鍵

 

 

連『WIFI』

插網線後,通過手機電腦連線『192.168.1.5』

  1. 撳『Network Settings』
  2. 撳『Start scan』
  3. 勾『SSID』-wifi名
  4. 填『Password』密碼
  5. 撳『Configure』儲存

 

 

『SFX』聲場增強

摇控『SFX』鍵-加强室內立體聲寬廣聲場,冇效果.

 

『接地』

有獨立接地口,閉環接地線,屋企接地係邊?

 

『低音』BASS CONTOUR

『低音調節』撥『-3DB』加重低音輸出. 聽人聲吾使撥.

 

 

 

 

 

 

 

 

 

ATX火牛20PIN轉24PIN

ATX火牛20PIN轉24PIN
ATX火牛20PIN轉24PIN
ATX火牛20PIN轉24PIN
ATX火牛20PIN轉24PIN
ATX火牛20PIN轉24PIN
ATX火牛20PIN轉24PIN
ATX火牛20PIN轉24PIN
ATX火牛20PIN轉24PIN

有舊『ATX火牛』230W, 諗住用係『B450-ITX』配『RYZEN5-1500X』得60W岩岩够. 但係舊『ATX火牛』20pin. 冇左4pin插係『B450-ITX』照樣著機.多出4pin分别係『3.3v』『5V』『12V』『地』. 理論蒞講通過係飛線增加『4PIN』.網有20PIN轉24PIN線,直頭吾著機,好彩冇燒底板.