🚀 Hyperlink模型项目
本项目是一个文本到图像生成的模型项目,通过融合多个模型的独特块权重,提升了面部表现和风格效果,能生成具有高真实感和独特风格的图像。
📄 许可证
本项目使用的许可证为 creativeml-openrail-m
。
📚 详细文档
模型信息
属性 |
详情 |
模型类型 |
文本到图像生成模型 |
相关库 |
diffusers |
标签 |
Photorealistic、Realism、Girls、Analog、alexds9、text-to-image、stable-diffusion、stable-diffusion-diffusers、diffusers |
示例与提示
以下是一些生成的图像示例及其对应的提示词:
-
示例1
提示词:lady with attractive guy. photograph portrait sitting of enjoying in a close up movie in theater , cinematic 4k , epic detailed 4k epic detailed photograph shot on kodak detailed cinematic bokeh hbo dark moody. brown eyes
-
示例2
提示词:photograph close up portrait of pretty cute Young European girl playing video game with brother wearing sombrero on sofa,happy,excited, cinematic 4k epic detailed 4k epic detailed photograph shot on kodak detailed bokeh cinematic hbo dark moody
-
示例3
提示词:on indoor pool side, close up photograph portrait of beautiful girl sitting. lifeguard holding meat tacos, cinematic 4k epic detailed 4k epic detailed photograph shot on kodak detailed cinematic hbo bokeh. dark moody. Sweet smile
-
示例4
提示词:daughter is sitting in a busy café with her beautiful granny, surrounded faces and eyes woman. little laptop computers Closeup Job search by people chatting and typing on their about the future. Photography (portrait style) with a Canon EOS R camera using a 50mm lens, Set to f/1.8, 1/200 shutter speed. The sunlight streams in through the windows, casting a warm glow on the scene. She's scrolling through job postings on her laptop, feeling both excited and nervous
原始页面链接
🚀 快速开始
中间模型 HyperDreamPhotoGASM
这是为本次模型融合创建的中间模型。若想查看更好的背景效果,可参考:HyperPhotoGASM;若想查看更好的构图效果,可参考:HyperRemix。
模型融合配方
配方1:生成 HyperDreamPhotoGASM
- 融合方法:SuperMerger Weight sum Use MBW 1,0,0,0,0,0,0,1,1,1,1,1,1,0,1,1,1,1,1,1,0,0,0,0,0,0
- 模型A:DreamPhotoGASM
- 模型B:HyperRealism 1.2
- 输出模型:HyperDreamPhotoGASM
配方2:生成 Hyperlink
- 融合方法:SuperMerger Weight sum Use MBW 0,0,0,0,0,0,0,1,1,1,1,1,1,1,1,1,1,1,1,1,0,0,0,0,0,0
- 模型A:HyperDreamPhotoGASM
- 模型B:LinkedIn Diffusion
- 输出模型:Hyperlink
权重块分析
若将模型标记如下:
- DreamPhotoGASM = D
- LinkedIn Diffusion = L
- HyperRealism 1.2 = H
则其权重块表示为:H,D,D,D,D,D,D,L,L,L,L,L,L,L,L,L,L,L,L,L,D,D,D,D,D,D