text generate images upscaler model MVP Workflow 文生图+放大模型放大最小闭环工作流
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text generate images upscaler model MVP Workflow 文生图+放大模型放大最小闭环工作流
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工作流功能 Workflow function
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使用文字生成图片并使用放大模型放大,简称T2I+放大模型放大,共15个节点
Using text generate images and zooming in using an upscaler model, abbreviated as T2I+Upscaler zoom, with a total of 15 nodes
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使用方法 HOW TO USE
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1、步骤1:红色框:切换大模型;绿色框:写正向提示词;蓝色框:写反向提示词。黄色框:设置图片尺寸;紫色框:设置参数
2、步骤2:红色框:设置放大模型;绿色框:设置放大后图片尺寸
3、步骤3:自动生成图片和放大图片,无需设置
1. Step 1: Red box: Switch to large model; Green box: write positive prompt words; Blue box: Write reverse prompt words. Yellow box: Set image size; Purple box: Set parameters
2. Step 2: Red box: Set Upscaler model; Green box: Set the size of the upscaler image
3. Step 3: Automatically generate and enlarge images without the need for settings
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联系方式 Contact information
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如果您在使用过程中遇到任何问题,请通过下述联系方式与我联系
如果推特,YouTube,TikTok没有回复您,请联系微信或者小红书
If you encounter any problems during the use, Please contact me through the following contact information,
If there is no response from Instagram, Twitter, YouTube, and TIKTOK, please contact WeChat or Red book
1、推特/Twitter
搜索:来来说AI
https://twitter.com/6Lailai
2、油管/youtube
搜索:来来说AI
https://www.youtube.com/@laiAIGC
3、TikTok
搜索:来来说AI
https://www.tiktok.com/@laiaidesign
4、微信/Wechat
laiweb3
5、小红书/Red book
搜索:来来说AI
https://www.xiaohongshu.com/user/profile/5d552549000000001103c036
6、B站/blibli
搜索:来来说AI
https://space.bilibili.com/503941258
7、微信公众号/Official Account WeChat
搜索:来来说AI
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下载工作流 Download workflows
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你可以从这里找到更多“来来”制作的工作流下载
You can find more "LAILAI" production workflows here to download
1、Openart
https://openart.ai/workflows/@lailai
2、电子羊/esheep
https://www.esheep.com/app/5958
玩得高兴❤❤❤Have fun!❤❤❤
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Versions (1)
- latest (2 years ago)
Node Details
Primitive Nodes (1)
Note (1)
Custom Nodes (15)
ComfyUI
- VAEDecode (3)
- SaveImage (2)
- ImageUpscaleWithModel (1)
- VAEEncode (1)
- EmptyLatentImage (1)
- CLIPTextEncode (2)
- CheckpointLoaderSimple (1)
- KSampler (2)
- ImageScale (1)
- UpscaleModelLoader (1)
Model Details
Checkpoints (1)
写实\majicmixRealistic_betterV2V25.safetensors
LoRAs (0)