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---
license: cc-by-4.0
---
此模型名称为:帝王橘v1.0
# 目录
#### 帝王橘橘系列
#### 帝王橘v1.0
[模型下载地址页面](https://huggingface.co/2413016570yutian/Imperial_orange_series/blob/main/yutianmix_nai1.safetensors)
#### 帝王橘v2.0
[模型下载地址页面](https://huggingface.co/2413016570yutian/Imperial_orange_series/blob/main/yutianmix_nai3.safetensors)
#### 帝王橘v1.0
[下载](https://huggingface.co/2413016570yutian/Imperial_orange_series/resolve/main/yutianmix_nai1.safetensors)
▼帝王橘v1.0
是融合模型
能生成图像的模型链接:
https://www.liblib.ai/modelinfo/6bec73712c0d4d83ac801cb892e3736f?mine=1
https://tusiart.com/models/618022798658551437
生成配置:帝王橘v1.0
采样方式:DPM++ 2M Karras
迭代步数:20-50左右
高分迭代步数:20
放大算法:R-ESRGAN 4x+ Anime6B
重绘幅度:0.5
图像分辨率:936×1216
示例图:
<img src="https://cdn-uploads.huggingface.co/production/uploads/63b6ae87579c63c619742c1f/Lm2izsSXHHCtdNyVrcwaB.jpeg" alt="Alt text" style="width: 400px;">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63b6ae87579c63c619742c1f/DP3rbmX38UfuHAbDPpvOi.jpeg" alt="Alt text" style="width: 400px;">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63b6ae87579c63c619742c1f/K-T2vC9ANaOAVXqZi1Oip.jpeg" alt="Alt text" style="width: 400px;">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63b6ae87579c63c619742c1f/Ywh4WarhbQA4aB-hihDjd.jpeg" alt="Alt text" style="width: 400px;">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63b6ae87579c63c619742c1f/iPQRkDy56S6lpxOvG6MnD.jpeg" alt="Alt text" style="width: 400px;">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63b6ae87579c63c619742c1f/wcXqpBkHucvrp9M-4E0oK.jpeg" alt="Alt text" style="width: 400px;">
#### 帝王橘v2.0
[下载](https://huggingface.co/2413016570yutian/Imperial_orange_series/resolve/main/yutianmix_nai3.safetensors)
▼帝王橘v2.0
是融合模型
能生成图像的模型链接:
https://www.liblib.ai/modelinfo/6bec73712c0d4d83ac801cb892e3736f?mine=1
https://tusiart.com/models/619225844768020180
采样方式:DPM++ 2M Karras
迭代步数:20-50左右
高分迭代步数:20
放大算法:R-ESRGAN 4x+ Anime6B和Latent (nearest-exact)
重绘幅度:0.7
图像分辨率:随便
模型自带vae
<img src="https://cdn-uploads.huggingface.co/production/uploads/63b6ae87579c63c619742c1f/aHjrd5J9hTTRtNDx3tGQQ.jpeg" alt="Alt text" style="width: 400px;">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63b6ae87579c63c619742c1f/G49xp-9Nk34sONZoCbWd_.jpeg" alt="Alt text" style="width: 400px;">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63b6ae87579c63c619742c1f/mbJWNDCiNRPzrjvg8NJ-l.jpeg" alt="Alt text" style="width: 400px;">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63b6ae87579c63c619742c1f/63mCPoeV1q6mEdRrpN7Ey.jpeg" alt="Alt text" style="width: 400px;">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63b6ae87579c63c619742c1f/YReXqs2d5kLxYb1kj1s0h.jpeg" alt="Alt text" style="width: 400px;">
<img src="https://cdn-uploads.huggingface.co/production/uploads/63b6ae87579c63c619742c1f/imFTOlTpQiBTqr9sly1x7.jpeg" alt="Alt text" style="width: 400px;">
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