41:I[22744,["9386","static/chunks/7d384bb9-084757cb36783e03.js","7138","static/chunks/7138-7aaa3bcb8b73c744.js","1340","static/chunks/1340-b9b506720541a7ef.js","1561","static/chunks/1561-4bad7323c194c5e4.js","1453","static/chunks/1453-0f83cbfb9c89fd02.js","1827","static/chunks/1827-27f4839f7e624fe5.js","5587","static/chunks/5587-356cfa9b146c6b7c.js","5939","static/chunks/5939-0c829981a289a103.js","171","static/chunks/171-6b72208daf6edc76.js","1424","static/chunks/1424-96ec6740019376a3.js","3598","static/chunks/3598-8c93f96e678400eb.js","5604","static/chunks/5604-eaeca6feb1975048.js","2851","static/chunks/2851-aedd0ee63ff05519.js","2358","static/chunks/2358-69ec618f837ce192.js","4485","static/chunks/4485-8ef1eb1f955e3178.js","2259","static/chunks/2259-7abeab888f0e39dd.js","5020","static/chunks/5020-0f956968b611873b.js","3432","static/chunks/3432-bbd3074b2049c0fa.js","8072","static/chunks/8072-6469222cac4e7e2b.js","818","static/chunks/app/(main)/(content)/ai-models/search/tags/%5Btag%5D/page-eebeca18bee7be62.js"],"AiModelsHeader"] 42:I[59984,["9386","static/chunks/7d384bb9-084757cb36783e03.js","7138","static/chunks/7138-7aaa3bcb8b73c744.js","1340","static/chunks/1340-b9b506720541a7ef.js","1561","static/chunks/1561-4bad7323c194c5e4.js","1453","static/chunks/1453-0f83cbfb9c89fd02.js","1827","static/chunks/1827-27f4839f7e624fe5.js","5587","static/chunks/5587-356cfa9b146c6b7c.js","5939","static/chunks/5939-0c829981a289a103.js","171","static/chunks/171-6b72208daf6edc76.js","1424","static/chunks/1424-96ec6740019376a3.js","3598","static/chunks/3598-8c93f96e678400eb.js","5604","static/chunks/5604-eaeca6feb1975048.js","2851","static/chunks/2851-aedd0ee63ff05519.js","2358","static/chunks/2358-69ec618f837ce192.js","4485","static/chunks/4485-8ef1eb1f955e3178.js","2259","static/chunks/2259-7abeab888f0e39dd.js","5020","static/chunks/5020-0f956968b611873b.js","3432","static/chunks/3432-bbd3074b2049c0fa.js","8072","static/chunks/8072-6469222cac4e7e2b.js","818","static/chunks/app/(main)/(content)/ai-models/search/tags/%5Btag%5D/page-eebeca18bee7be62.js"],"AiModelsFilters"] 43:I[36890,["9386","static/chunks/7d384bb9-084757cb36783e03.js","7138","static/chunks/7138-7aaa3bcb8b73c744.js","1340","static/chunks/1340-b9b506720541a7ef.js","1561","static/chunks/1561-4bad7323c194c5e4.js","1453","static/chunks/1453-0f83cbfb9c89fd02.js","1827","static/chunks/1827-27f4839f7e624fe5.js","5587","static/chunks/5587-356cfa9b146c6b7c.js","5939","static/chunks/5939-0c829981a289a103.js","171","static/chunks/171-6b72208daf6edc76.js","1424","static/chunks/1424-96ec6740019376a3.js","3598","static/chunks/3598-8c93f96e678400eb.js","5604","static/chunks/5604-eaeca6feb1975048.js","2851","static/chunks/2851-aedd0ee63ff05519.js","2358","static/chunks/2358-69ec618f837ce192.js","4485","static/chunks/4485-8ef1eb1f955e3178.js","2259","static/chunks/2259-7abeab888f0e39dd.js","5020","static/chunks/5020-0f956968b611873b.js","3432","static/chunks/3432-bbd3074b2049c0fa.js","8072","static/chunks/8072-6469222cac4e7e2b.js","818","static/chunks/app/(main)/(content)/ai-models/search/tags/%5Btag%5D/page-eebeca18bee7be62.js"],"AiModelCard"] 44:T572,

This LORA is created with some pictures of China style Buddha statues. The resolution of these pics is 768*768. If you want to get higher resolution than 768*1024 while generating your pic, use HI-RES.

Theoretically, you can use it with any models based on Stable Diffusion 1.5. In my test, this LORA performs well with RealDosMix, ChilloutMix, dalcefo_oilpaint and Stable Diffusion 1.5.

Most of the pics shown here are generated with RealDosMix.

You are welcome to share your pics generated with this LORA. But please do not post any NSFW ones.

这个LORA由一百多张汉地佛陀雕像照片炼成。分辨率为768*768。如果你想得到分辨率高于768*1024的图片，最好使用HI-RES功能。

理论上，任何基于SD 1.5而炼成的模型都可以与这个LORA兼容。在我的测

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