wget -P /root/stable-diffusion-webui/models/Stable-diffusion/ "http://public.x-gpu.com/f/3kVs2/LandscapeBING%20v1.0-%E5%86%B0%E9%86%8B%E9%85%B8-%E7%99%BE%E5%8F%98%E6%99%AF%E8%A7%82_v1.0.safetensors"
wget -P /root/Fooocus/models/checkpoints/ "http://public.x-gpu.com/f/3kVs2/LandscapeBING%20v1.0-%E5%86%B0%E9%86%8B%E9%85%B8-%E7%99%BE%E5%8F%98%E6%99%AF%E8%A7%82_v1.0.safetensors"
wget -P /root/ComfyUI/models/checkpoints/ "http://public.x-gpu.com/f/3kVs2/LandscapeBING%20v1.0-%E5%86%B0%E9%86%8B%E9%85%B8-%E7%99%BE%E5%8F%98%E6%99%AF%E8%A7%82_v1.0.safetensors"
"http://public.x-gpu.com/f/3kVs2/LandscapeBING%20v1.0-%E5%86%B0%E9%86%8B%E9%85%B8-%E7%99%BE%E5%8F%98%E6%99%AF%E8%A7%82_v1.0.safetensors"
部署SD案例之一:查看视频教程
你喜欢的模型未收录?:点击提交
部署平台:仙宫云
模型类别:Checkpoint
基础模型:基础算法 1.5
模型大小:1.99 GB
触发词:outdoor
prompt:
1.花卉:garden,flower搭配其他都可, 搭配gravel road可画出灰色砂石路
2.驿站:yz_station, service station,搭配其他建筑类相关词汇,可出驿站相关
3.古典园林:SZYL,east asian architecture, architecture,可出古典园林,搭配其他词汇出相应风格组团,石头等
4.秋景:autumn, autumn leaf tree, 搭配其他词可出现秋色叶树种与色调
5.夜景灯光:night,light,搭配其他词可出现深夜夜景灯光效果
6.雨景:rain,fog,多输入几次加大权重,搭配其他词汇可出现雨景
7.随机条件下可输入:ZHIGAN,作为触发词,提高画面的效果图风格
8.在材质上,对木头(wooden)、砖块(brick)有训练
建议使用长句描述自然语言,出不来的东西多输入几次
建议宽图,1024*576为好,cfg7及以下,如果加入lora后过拟严重可试试将clip跳过层调到4.6
可以选择开启动态cfg系数(一个插件)来降低画面的过拟合
可以搭配bad-picture-chill-75v,等负面embedding使用
可以用gpt自动输入的prompt,效果算是良好
outdoors,ZHIGAN,wetland park,rainy days,heavy rain,fog,thick fog,night,heavy rain,reflected ground, Negative prompt: building,bad-picture-chill-75v, Steps: 20, Size: 2048x1152, Seed: 90693112, Model: 融合模型2.fp16 , Sampler: Euler, CFG scale: 5.5
outdoors,garden,gravel road,flower,grass,trees,bush, Negative prompt: bad-picture-chill-75v, Steps: 20, Size: 2048x1152, Seed: 3437863337, Model: 融合模型2.fp16 , Sampler: Euler, CFG scale: 5.5