stable diffusion实践操作-文生图

本文专门开一节写文生图 相关的内容,在看之前,可以同步关注:
stable diffusion实践操作

正文


1 liblib SD1.5底模 + lora(baihuaniang_1.0)

详细信息:

底模:SD 1.5

Lora:baihuaniang_1.0

正向提示词:

bash 复制代码
Best quality,masterpiece,ultra high res,(photorealistic:1.4),
solo,1girl,.<lora:baihuaniang_1.0:0.8>,baihuaniang,flower,
Flowers,Soft sunlight,Wind,Flying long hair,Film Light,
Facing the screen,.copper,,upper body,fatigues,
outstretched arms,.

反向提示词:

bash 复制代码
ng_deepnegative_v1_75t,badhandv4 (worst quality:2),
(low quality:2),(normal quality:2),lowres,bad anatomy,
bad hands,normal quality,((monochrome)),((grayscale)),, 
ng_deepnegative_v1_75t, badhandv4 (worst quality:2), 
(low quality:2), (normal quality:2), lowres, bad anatomy, 
bad hands, normal quality, ((monochrome)), ((grayscale)):.

CLP终止层数:2

迭代步数:25

采样模式(Sampler):DPM++ 2M Karras

提示词引导数(CFG Scales):11

随机数种子(seed):2514900086

wH:512512

2 liblib SD1.5底模 + lora(long) 中国龙

详细信息:

底模:SD 1.5

Lora:long + :Real dragons _dragon_real_base_V1

正向提示词:

bash 复制代码
Best quality,masterpiece,ultra high res,nu no humans, (long:1.2),
<lora:long:0.8>,no humans, long eastern dragon, 
east asian architecture, sky, architecture, outdoors, cloud, day, 
mountain, open mouth, blue sky, teeth, scales, sharp teeth, 
horns, glowing, fangs, tree, glowing eyes, pagoda, scenery.

反向提示词:

bash 复制代码
ng_deepnegative_v1_75t,badhandv4 (worst quality:2),(low quality:2),
(normal quality:2),lowres,bad anatomy,bad hands,normal quality,
((monochrome)),((grayscale)),nsfw,..

CLP终止层数:2

迭代步数:25

采样模式(Sampler):DPM++ 2M Karras

提示词引导数(CFG Scales):11

随机数种子(seed):2514900086

wH:512512

3 liblib SD1.5底模 + lora(xiaorenshu_v2.0.safetensors) 小人书

这个lora,人物脸型都不是很好

详细信息:

底模:SD 1.5

Lora:long + :Real dragons _dragon_real_base_V1

正向提示词:

bash 复制代码
shz,((bestquality)),((masterpiece)),(detailed),realistic,multipleboys,(ridinghorse),mustache,lookingatviewer,outdoors,house,amy,horse <lora:xiaorenshu_v2.0:0.7>

CLP终止层数:2

迭代步数:25

采样模式(Sampler):DPM++ 2M Karras

提示词引导数(CFG Scales):11

随机数种子(seed):2514900086

wH:512512

4 中国龙(chilloutmix + long + real_dragon)

详细信息:

底模:chillout

Lora:long + :Real dragons _dragon_real_base_V1

正向提示词:

bash 复制代码
asian dragon, pen and ink, intricate line drawings, by craig mullins, 
ruan jia, kentaro miura, greg rutkowski, loundraw
 <lora:long:0.6>,(long:2),no no humans, dragon, full body, full moon, 
  <lora:Real dragons _dragon_real_base_V1:0.8>,flame, 

反向提示词:

embedding

bash 复制代码
 EasyNegative, jnfrum

CLP终止层数:2

迭代步数:22

采样模式(Sampler):Euler

提示词引导数(CFG Scales):11

随机数种子(seed):2514900086

wH:512 512

高分辨率-放大算法:4x-UltraSharp

相关推荐
老刘说AI4 天前
类Sora模型:解锁动态视觉艺术的密码
人工智能·stable diffusion·架构·embedding
python-码博士4 天前
Stable Diffusion 3 / FLUX 类模型中的 Flow Matching:怎么用、怎么调、怎么避坑
stable diffusion
Rocky Ding*7 天前
Latent Consistency Models:一篇读懂扩散模型的少步生成核心基础知识
人工智能·深度学习·机器学习·ai作画·stable diffusion·aigc·ai-native
Asimov_Liu8 天前
Diffusion 与 Flow Matching 数学原理及其在 VLA Action 生成中的应用
stable diffusion·自动驾驶·具身智能·vla·flow matching
Rocky Ding*8 天前
Token Merging for Fast Stable Diffusion:一篇读懂 Stable Diffusion 的免训练加速机制
论文阅读·人工智能·深度学习·机器学习·stable diffusion·aigc·ai-native
yuguo.im9 天前
Mac M4 安装 sd-webui 踩坑全记录
macos·stable diffusion
hugo_im10 天前
Mac M4 安装 sd-webui 踩坑全记录
stable diffusion
一叶知秋dong11 天前
Stable diffusion 工作原理
人工智能·深度学习·stable diffusion
仰望尾迹云14 天前
灵感画廊入门:AI绘画零基础到精通
stable diffusion·ai绘画·图像生成
AI极客菌14 天前
AI绘画工具中,为什么专业玩家爱用Stable Diffusion,普通玩家却喜欢Midjourney?
大数据·人工智能·ai·ai作画·stable diffusion·aigc·midjourney