0/75
文件
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人物
服饰
表情动作
画面
环境
场景
物品
镜头
汉服
魔法系
反向提示词
文生图
图生图
0/75
反向词
(0/75)
批量操作
收藏列表
扩展模型
人物
服饰
表情动作
画面
环境
场景
物品
镜头
汉服
魔法系
反向提示词
文生图
图生图
标记
高分辨率修复 (Hires. fix) ▼
Refiner ▼
ADetailer ▼
v24.11.1
检测 ▼
蒙版处理 ▼
重绘 ▼
检测 ▼
蒙版处理 ▼
重绘 ▼
Tiled Diffusion ▼
噪声反转 ▼
请在实际扩图前用小分辨率图像进行测试, 默认参数需求去噪强度小于或等于0.6
分区提示词控制 ▼
参考图（用于方便定位区域）
拖放图片至此处 - 或 - 点击上传
区域 1 ▼
区域 2 ▼
区域 3 ▼
区域 4 ▼
区域 5 ▼
区域 6 ▼
区域 7 ▼
区域 8 ▼
DemoFusion ▼
(请勿和 Tiled Diffusion 同时开启)
噪声反转 ▼
请在实际扩图前用小分辨率图像进行测试, 默认参数需求去噪强度小于或等于0.6
Tiled VAE ▼
建议在得到 CUDA error: out of memory 报错前尽可能大的设置编码器分块大小
Dynamic Thresholding (CFG Scale Fix) ▼
ControlNet v1.1.455 ▼
×
编辑
批量选项 ▼
上传提示词输入文件
拖放文件至此处 - 或 - 点击上传
ControlNet-M2M ▼
视频
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图像
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视频
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图像
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视频
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图像
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视频
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图像
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视频
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图像
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文件
embeddings\badhandv4.pt5e40d722fc3d0c2decb62debfaf8058db30ccdae9ab00ff64b183907b435708e
badhandv4
embeddings\EasyNegative.safetensorsc74b4e810b030f6b75fde959e2db678c268d07115b85356d3c0138ba5eb42340
EasyNegative
embeddings\EasyNegativeV2.safetensors339cc9210f70ef842b716588373d95b52351d7e6d111b858e133e3b1e3bd8088
EasyNegativeV2
embeddings\ng_deepnegative_v1_75t.pt54e7e4826d53949a3d0dde40aea023b1e456a618c608a7630e3999fd38f93245
ng_deepnegative_v1_75t
暂无内容。请添加模型到以下目录：
- D:\SD软件（win版本）\sd-webui-aki-v4.8\models\hypernetworks
Stable-diffusion\GhostMix鬼混_V2.0.safetensorse3edb8a26f44dfddc124129004b5ded3378be974b8d3bf82f43b9660d416d3d1
GhostMix鬼混_V2.0
Stable-diffusion\realisticVisionV60B1_v51VAE.safetensors
realisticVisionV60B1_v51VAE
Lora\blindbox_大概是盲盒_blindbox_v1_mix.safetensors
blindbox_大概是盲盒_blindbox_v1_mix
Lora\【全网首发】Chinese-Art 中国水彩风格，中国艺术_v1.0.safetensors4a0f7d8ef33dc6a229fc2807354f475f11bbd4a97e23fa2da25fe312e3438adc
【全网首发】Chinese-Art 中国水彩风格，中国艺术_v1.0
Lora\好机友AI机甲_好机友AI机甲1.0.safetensors3b0c7d91b57812c605df43862fa543f0adec0a6f8c04e9edba6658dd883a9237
好机友AI机甲_好机友AI机甲1.0
数据集的训练标签
0/75
文件
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(0/75)
批量操作
收藏列表
扩展模型
人物
服饰
表情动作
画面
环境
场景
物品
镜头
汉服
魔法系
反向提示词
文生图
图生图
0/75
反向词
(0/75)
批量操作
收藏列表
扩展模型
人物
服饰
表情动作
画面
环境
场景
物品
镜头
汉服
魔法系
反向提示词
文生图
图生图
图生图的图像
拖放图片至此处 - 或 - 点击上传
复制当前图像到:
图生图的图像
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Alt + 滚轮 - 缩放画布
Ctrl + 滚轮 - 调整画笔大小
R - 重置缩放
S - 全屏模式
F - 移动画布
复制当前图像到:
用于使用蒙版进行局部重绘的图像
拖放图片至此处 - 或 - 点击上传
Alt + 滚轮 - 缩放画布
Ctrl + 滚轮 - 调整画笔大小
R - 重置缩放
S - 全屏模式
F - 移动画布
复制当前图像到:
彩色涂鸦重绘
拖放图片至此处 - 或 - 点击上传
Alt + 滚轮 - 缩放画布
Ctrl + 滚轮 - 调整画笔大小
R - 重置缩放
S - 全屏模式
F - 移动画布
复制当前图像到:
图生图的图像
拖放图片至此处 - 或 - 点击上传
蒙版
拖放图片至此处 - 或 - 点击上传
Files
拖放文件至此处 - 或 - 点击上传
处理服务器主机上某一目录里的图像
输出图像到一个空目录，而非设置里指定的输出目录
添加重绘蒙版目录以启用重绘蒙版功能
PNG 图片信息 ▼
柔和重绘 ▼
柔和局部重绘可以将原始画面与重绘内容无缝混合, 根据蒙版不透明度
高蒙版边缘模糊度值更推荐！
像素合成设置
帮助 ▼
Schedule bias
The blending strength of original content is scaled proportionally with the decreasing noise level values at each step (sigmas).
This ensures that the influence of the denoiser and original content preservation is roughly balanced at each step.
This balance can be shifted using this parameter, controlling whether earlier or later steps have stronger preservation.
- Below 1: Stronger preservation near the end (with low sigma)
- 1: Balanced (proportional to sigma)
- Above 1: Stronger preservation in the beginning (with high sigma)
Preservation strength
Skews whether partially masked image regions should be more likely to preserve the original content or favor inpainted content.
This may need to be adjusted depending on the Schedule bias, CFG Scale, prompt and Denoising strength.
- Low values: Favors generated content.
- High values: Favors original content.
Transition contrast boost
This parameter controls how the original latent vectors and denoised latent vectors are interpolated.
With higher values, the magnitude of the resulting blended vector will be closer to the maximum of the two interpolated vectors.
This can prevent the loss of contrast that occurs with linear interpolation.
- Low values: Softer blending, details may fade.
- High values: Stronger contrast, may over-saturate colors.
像素合成设置
Masks are generated based on how much a part of the image changed after denoising.
These masks are used to blend the original and final images together.
If the difference is low, the original pixels are used instead of the pixels returned by the inpainting process.
Mask influence
This parameter controls how much the mask should bias this sensitivity to difference.
- 0: Ignore the mask, only consider differences in image content.
- 1: Follow the mask closely despite image content changes.
Difference threshold
This value represents the difference at which the original pixels will have less than 50% opacity.
- Low values: Two images patches must be almost the same in order to retain original pixels.
- High values: Two images patches can be very different and still retain original pixels.
Difference contrast
This value represents the contrast between the opacity of the original and inpainted content.
- Low values: The blend will be more gradual and have longer transitions, but may cause ghosting.
- High values: Ghosting will be less common, but transitions may be very sudden.
Refiner ▼
没有图片被选中
ADetailer ▼
v24.11.1
检测 ▼
蒙版处理 ▼
重绘 ▼
检测 ▼
蒙版处理 ▼
重绘 ▼
Tiled Diffusion ▼
噪声反转 ▼
请在实际扩图前用小分辨率图像进行测试, 默认参数需求去噪强度小于或等于0.6
分区提示词控制 ▼
参考图（用于方便定位区域）
拖放图片至此处 - 或 - 点击上传
区域 1 ▼
区域 2 ▼
区域 3 ▼
区域 4 ▼
区域 5 ▼
区域 6 ▼
区域 7 ▼
区域 8 ▼
DemoFusion ▼
(请勿和 Tiled Diffusion 同时开启)
噪声反转 ▼
请在实际扩图前用小分辨率图像进行测试, 默认参数需求去噪强度小于或等于0.6
Tiled VAE ▼
建议在得到 CUDA error: out of memory 报错前尽可能大的设置编码器分块大小
Dynamic Thresholding (CFG Scale Fix) ▼
ControlNet v1.1.455 ▼
×
编辑
批量选项 ▼
提示词引导系数 (CFG Scale)应小于等于2
推荐设置: 采样迭代步数: 80-100, 采样方法: Euler a, 重绘幅度: 0.8
上传提示词输入文件
拖放文件至此处 - 或 - 点击上传
按照选定的比例放大图像；使用长/宽拖动条以设置分块大小
ControlNet-M2M ▼
视频
拖放视频至此处 - 或 - 点击上传
图像
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视频
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图像
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视频
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图像
拖放图片至此处 - 或 - 点击上传
视频
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图像
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视频
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图像
拖放图片至此处 - 或 - 点击上传
Will upscale the image depending on the selected target size type
Redraw options:
Seams fix:
Save options:
文件
embeddings\badhandv4.pt5e40d722fc3d0c2decb62debfaf8058db30ccdae9ab00ff64b183907b435708e
badhandv4
embeddings\EasyNegative.safetensorsc74b4e810b030f6b75fde959e2db678c268d07115b85356d3c0138ba5eb42340
EasyNegative
embeddings\EasyNegativeV2.safetensors339cc9210f70ef842b716588373d95b52351d7e6d111b858e133e3b1e3bd8088
EasyNegativeV2
embeddings\ng_deepnegative_v1_75t.pt54e7e4826d53949a3d0dde40aea023b1e456a618c608a7630e3999fd38f93245
ng_deepnegative_v1_75t
暂无内容。请添加模型到以下目录：
- D:\SD软件（win版本）\sd-webui-aki-v4.8\models\hypernetworks
Stable-diffusion\GhostMix鬼混_V2.0.safetensorse3edb8a26f44dfddc124129004b5ded3378be974b8d3bf82f43b9660d416d3d1
GhostMix鬼混_V2.0
Stable-diffusion\realisticVisionV60B1_v51VAE.safetensors
realisticVisionV60B1_v51VAE
Lora\blindbox_大概是盲盒_blindbox_v1_mix.safetensors
blindbox_大概是盲盒_blindbox_v1_mix
Lora\【全网首发】Chinese-Art 中国水彩风格，中国艺术_v1.0.safetensors4a0f7d8ef33dc6a229fc2807354f475f11bbd4a97e23fa2da25fe312e3438adc
【全网首发】Chinese-Art 中国水彩风格，中国艺术_v1.0
Lora\好机友AI机甲_好机友AI机甲1.0.safetensors3b0c7d91b57812c605df43862fa543f0adec0a6f8c04e9edba6658dd883a9237
好机友AI机甲_好机友AI机甲1.0
数据集的训练标签
标记
来源
拖放图片至此处 - 或 - 点击上传
批量处理
拖放文件至此处 - 或 - 点击上传
图像放大 ▼
GFPGAN ▼
CodeFormer ▼
分割过大的图像 ▼
自动面部焦点剪裁 ▼
自动按比例剪裁缩放 ▼
每张图片都会以自动选择好的宽和高进行中心裁剪
创建水平翻转副本 ▼
生成标签 ▼
来源
拖放图片至此处 - 或 - 点击上传
最终模型权重是前两个模型按比例相加的结果。需要 A、B 两个模型。计算公式为 A * (1 - M) + B * M
元数据 ▼
加载
内存
全部信息 ▼
{
}
日期: ,
""
时间戳: ,
"14:42:15"
uptime: ,
""
版本:
{
}
, torch: ,
""
gpu:
{
}
, state:
{
}
, started: ,
"Thu Mar 6 14:42:15 2025"
迭代步数: ,
"0 / 0"
jobs: ,
"0 / 0"
flags: ,
""
job: ,
""
text-info:
""
memory:
{
}
, ram:
{
}
, free: ,
62.98
used: ,
0.84
总计:
63.82
gpu:
{
}
, free: ,
14.89
used: ,
1.1
总计:
15.99
gpu-active:
{
}
, current: ,
0
peak:
0
gpu-allocated:
{
}
, current: ,
0
peak:
0
gpu-reserved:
{
}
, current: ,
0
peak:
0
gpu-inactive:
{
}
, current: ,
0
peak:
0
events:
{
}
, retries: ,
0
oom:
0
utilization:
0
flags:
[
]
, libs:
{
}
, repos:
{
}
, device:
{
}
, schedulers:
[
]
, 扩展:
[
]
, platform: ,
""
crossattention: ,
""
backend: ,
""
管线: ,
"a1111"
模型:
{
}
base (基础): ,
"anything-v5-PrtRE.safetensors [7f96a1a9ca]"
refiner: ,
"无"
vae: ,
"自动"
te: ,
"无"
unet:
"自动"
基准测试数据
时间戳 | it/s | 版本 | 系统 | 库 | gpu | flags | 设置 | 用户名 | 注意事项 | 哈希 |
|---|---|---|---|---|---|---|---|---|---|---|
设置 ▼
性能以每秒多少迭代次数 (it/s) 作为单位，并按不同的单批数量 (如 1、2、4、8、16......) 进行报告。
运行基准测试需要花费大量时间。大量测试可能会导致 GPU 显存溢出。
运行基准测试需要花费大量时间。大量测试可能会导致 GPU 显存溢出。
模型
[
]
可用的 LORA 模型
[
]
图像
拖放图片至此处 - 或 - 点击上传
输入图像
拖放图片至此处 - 或 - 点击上传
填充选项 ▼
从此处获取提示词：
高级选项 ▼
ControlNet inpaint model is not available.
需要安装 ControlNet-v1-1 inpaint model in the extensions\sd-webui-controlnet\models directory.
Alpha 通道图像
蒙版图像
鼠标置于图片之上:按住 S 键进入全屏模式, R 键重置缩放
Segment Anything image
拖放图片至此处 - 或 - 点击上传
Selected mask image
拖放图片至此处 - 或 - 点击上传
转换出的模型将会保存在你的模型目录。
融合模型并加载它生成图像
使用分块合并
选项 ▼
Merging Block Weights ▼
XYZ 图 ▼
XYZ presets ▼
BASE,IN00,IN01,IN02,IN03,IN04,IN05,IN06,IN07,IN08,IN09,IN10,IN11
,M00,OUT00,OUT01,OUT02,OUT03,OUT04,OUT05,OUT06,OUT07,OUT08,OUT09,OUT10,OUT11,Adjust,VAE,print
Reservation ▼
No. | 状态 | X 类型 | X 值 | Y 类型 | Y 值 | ztype | zmenber | 模型 A | 模型 B | 模型 C | α | β | 模式 | 使用分块合并 | 权重 α | 权重 β |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
组件合并 ▼
Adjust ▼
随机融合 ▼
R:0~1, U: -0.5~1.5
生成参数 ▼
如留空或设置为 0，则使用 "文生图" 选项卡中的参数
单批数量, 面部修复, 高分辨率修复等功能需要在本页面设置
单批数量, 面部修复, 高分辨率修复等功能需要在本页面设置
Include/Exclude ▼
高级 ▼
文件
block | key | similarity[%] |
|---|---|---|
1 | 2 | 3 |
|---|---|---|
ID | 时间 | 名称 | 权重 α | 权重 β | 模型 A | 模型 B | 模型 C | α | β | 模式 | 使用分块合并 | 自定义名称 | 保存设置 | use ID |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
No. | block | key |
|---|---|---|
模型组件
选择一个组件类或特定组件
操作
替换或保存所选组件
Infotext is what this software calls the text that contains generation parameters and can be used to generate the same picture again.
It is displayed in UI below the image. To use infotext, paste it into the prompt and click the ↙️ paste button.
本页面允许自定义添加部分设置到文生图和图生图选项卡中的主界面
For categories below, callbacks added to dropdowns happen before others, in order listed.
Those settings allow you to enable torch profiler when generating pictures.
Profiling allows you to see which code uses how much of computer's resources during generation.
Each generation writes its own profile to one file, overwriting previous.
The file can be viewed in Chrome, or on a Perfetto web site.
Warning: writing profile can take a lot of time, up to 30 seconds, and the file itelf can be around 500MB in size.
本页面允许你去修改其他标签页中的 UI 默认设置
修改后通过点击 '查看更改' 来复查修改后的默认设置数值。 然后点击 "应用" 把更改后的数值写入到 webui 根目录中的 ui-config.json文件中。
then press 'Apply' to write them to D:\SD软件（win版本）\sd-webui-aki-v4.8\ui-config.json.
新的默认设置将会在重启 UI 后应用。
修改后通过点击 '查看更改' 来复查修改后的默认设置数值。 然后点击 "应用" 把更改后的数值写入到 webui 根目录中的 ui-config.json文件中。
then press 'Apply' to write them to D:\SD软件（win版本）\sd-webui-aki-v4.8\ui-config.json.
新的默认设置将会在重启 UI 后应用。
检测系统信息的有效性
拖放文件至此处 - 或 - 点击上传
InvokeAI
Some code for compatibility with OSX is taken from lstein's repository.MIT License Copyright (c) 2022 InvokeAI Team Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
LDSR
Code added by contirubtors, most likely copied from this repository.MIT License Copyright (c) 2022 Machine Vision and Learning Group, LMU Munich Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
CLIP Interrogator
Some small amounts of code borrowed and reworked.MIT License Copyright (c) 2022 pharmapsychotic Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Memory Efficient Attention
The sub-quadratic cross attention optimization uses modified code from the Memory Efficient Attention package that Alex Birch optimized for 3D tensors. This license is updated to reflect that.MIT License Copyright (c) 2023 Alex Birch Copyright (c) 2023 Amin Rezaei Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
Scaled Dot Product Attention
Some small amounts of code borrowed and reworked. Copyright 2023 The HuggingFace Team. All rights reserved.
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Curated transformers
The MPS workaround for nn.Linear on macOS 13.2.X is based on the MPS workaround for nn.Linear created by danieldk for Curated transformersThe MIT License (MIT) Copyright (C) 2021 ExplosionAI GmbH Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
TAESD
Tiny AutoEncoder for Stable Diffusion option for live previewsMIT License Copyright (c) 2023 Ollin Boer Bohan Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: The above copyright notice and this permission notice shall be included in all copies or substantial portions of the Software. THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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