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### Windows GUI 工具 | ||
https://nmkd.itch.io/t2i-gui | ||
![](./images/GUI.png) | ||
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### 绝对纯净的二次元生成模型 | ||
https://huggingface.co/aipicasso/cool-japan-diffusion-2-1-0-beta | ||
![](./images/cool.jpeg) | ||
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### 新的高质量模型 | ||
https://huggingface.co/22h/vintedois-diffusion-v0-1 | ||
![](./images/new.png) | ||
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### Maximum Diffusion | ||
同时运行12个模型,进行对比 | ||
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https://huggingface.co/spaces/Omnibus/maximum_diffusion | ||
![](./images/maximum.jpeg) | ||
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### 一张图进行训练 | ||
使用 SinDDM,可以从单个自然图像训练生成模型,然后从给定的图像生成随机样本 | ||
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https://github.com/fallenshock/SinDDM | ||
![](./images/afefde0a-2b0f-4fea-89b9-8bb5d63fd6be.png) | ||
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### 腾讯领衔 TextTo3D | ||
目前还没有代码 | ||
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https://bluestyle97.github.io/dream3d/ | ||
![](./images/dc66e5fa-acd6-431d-8994-40837038d367.gif) | ||
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### iOS APP 直接跑 Stable Diffusion 2.0 | ||
https://github.com/ynagatomo/ImgGenSD2 | ||
![](./images/output.png) | ||
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### 支持9种语言的多语言图像到文本模型 | ||
https://huggingface.co/spaces/BAAI/dreambooth-altdiffusion | ||
![](./images/d229577c-0aa0-4022-9d00-ef148dc6908e.png) | ||
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### 新的训练方式 custom-diffusion | ||
类似 dreambooth | ||
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https://github.com/adobe-research/custom-diffusion | ||
![](./images/cd3cebe3-7d1f-42a3-b9ce-bc3b51d0bdf5.png) | ||
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### 碎片感的模型 | ||
https://huggingface.co/Stkzzzz222/fragments_V2 | ||
![](./images/70d5835c-ef9c-4e36-802c-7021f2e3e7a0.png) | ||
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### 降低训练成本框架 Colossal-AI | ||
https://mp.weixin.qq.com/s/IdK0XLitqfu0iPGqHnNQzw | ||
![](./images/ae0aa0d7-8222-412c-a1fb-256e7f95aa73.jpeg) | ||
![](./images/2b041af3-2f65-4b27-b329-2fcf74b11381.jpeg) |
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