====== Intel Meteor Lake Stable Diffusion 開發 ======
[[https://github.com/openvinotoolkit/openvino_notebooks/wiki/Windows|OpenVino Note book install]]\\
[[https://docs.openvino.ai/2023.2/openvino_docs_install_guides_overview.html?VERSION=v_2023_2_0&OP_SYSTEM=WINDOWS&DISTRIBUTION=ARCHIVE| OpenVINO Archives]]\\
[[https://github.com/intel/openvino-ai-plugins-gimp|intel/openvino-ai-plugins-gimp File download]]\\
[[https://github.com/intel/openvino-ai-plugins-gimp/blob/main/Docs/user_guide_for_windos_users.md|Install GIMP AI plugins with OpenVINO™ Backend on GIMP Document(User guide for Windows Users)]] \\


<color #00a2e8>需要修改如下檔案 </color> \\
<code>
C:\Users\Public\GIMP\gimpenv3\Lib\site-packages\gimpopenvino\tools\gimp_openvino_config.json
</code>
<color #00a2e8>Support Device 加入 NPU 選項 </color> \\

<code>
{"python_path": "C:\\Users\\Public\\GIMP\\gimpenv3\\Scripts\\python.exe",
"weight_path": "C:\\Users\\MTB19D\\openvino-ai-plugins-gimp\\weights", 
"supported_devices": ["CPU", "GPU" ,"NPU"]} \\
</code>


Install Stable Diffussion in General PC
<code>
https://github.com/butaixianran/Stable-Diffusion-Webui-Civitai-Helper.git
https://github.com/DominikDoom/a1111-sd-webui-tagcomplete.git
https://github.com/Bing-su/adetailer.git
https://github.com/adieyal/sd-dynamic-prompts.git
https://github.com/ototadana/sd-face-editor.git
https://github.com/journey-ad/sd-webui-bilingual-localization
https://github.com/Mikubill/sd-webui-controlnet.git
https://github.com/wywywywy/sd-webui-depth-lib.git
https://github.com/Uminosachi/sd-webui-inpaint-anything.git
https://github.com/huchenlei/sd-webui-openpose-editor.git
https://github.com/yankooliveira/sd-webui-photopea-embed.git
https://github.com/Physton/sd-webui-prompt-all-in-one.git
https://github.com/hako-mikan/sd-webui-regional-prompter.git
https://github.com/AlUlkesh/stable-diffusion-webui-images-browser.git
https://github.com/harukaxxxx/stable-diffusion-webui-localization-zh_TW.git
https://github.com/picobyte/stable-diffusion-webui-wd14-tagger.git
https://github.com/Coyote-A/ultimate-upscale-for-automatic1111.git


	2. Training database
https://huggingface.co/lllyasviel/ControlNet-v1-1/tree/main
上面這一串網址中，所有副檔名為.pth 以及 .yaml的檔案，下載後放入`/extensions/sd-webui-controlnet/models/`裡面
https://huggingface.co/lllyasviel/sd_control_collection/tree/main
上面這一串網址中，所有副檔名為.pth的檔案，下載後放入`/extensions/sd-webui-controlnet/models/`裡面
https://civitai.com/api/download/models/85428
下載這個頁面的模型，並放入`/extensions/sd-webui-controlnet/models/`裡面
 
Lisa大模型
https://civitai.com/api/download/models/82446?type=Model&format=SafeTensor&size=pruned&fp=fp16
放到models/Stable-diffusion的資料夾裡面
 
其他大模型
https://civitai.com/api/download/models/128078
https://civitai.com/api/download/models/128080
https://civitai.com/api/download/models/177164
https://civitai.com/api/download/models/126613
https://civitai.com/api/download/models/94654?type=Model&format=SafeTensor&size=pruned&fp=fp16
https://civitai.com/api/download/models/86329
https://civitai.com/api/download/models/126598
https://civitai.com/api/download/models/176425?type=Model&format=SafeTensor&size=pruned&fp=fp16
放到models/Stable-diffusion的資料夾裡面
 
https://civitai.com/api/download/models/66043
https://civitai.com/api/download/models/9208?type=Model&format=SafeTensor&size=full&fp=fp16
https://civitai.com/api/download/models/60938?type=Negative&format=Other
https://civitai.com/api/download/models/5637?type=Model&format=PickleTensor&size=full&fp=fp16
放到embeddings的資料夾裡面
 
https://huggingface.co/stabilityai/sd-vae-ft-mse-original/resolve/main/vae-ft-mse-840000-ema-pruned.safetensors?download=true
放到models/VAE的資料夾裡面
 
https://civitai.com/api/download/models/62833
https://civitai.com/api/download/models/85836
https://civitai.com/api/download/models/55199?type=Model&format=SafeTensor
放到models/Lora的資料夾裡面
 
https://civitai.com/models
Type : Lora >>放到models/Lora的資料夾裡面
Type：checkpoint XXXXX >>放到models/Stable-diffusion裡面

來自 <https://outlook.office.com/mail/inbox/id/AAMkAGI3NmQ2N2ZjLTYwMmEtNDhlZi1hMjc0LTIyNzIxM2RmMzA1ZQBGAAAAAAAsoLq8ilFFSrffAM2a1lcJBwBJV1ocAhAjRagLUlkKURoxAAAAAAEMAACbnDWjrJg0Rb91LF4dlZqjAAJWNGpDAAA%3D> 


</code>