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@@ -45,45 +45,6 @@ This is a LORA model for Stable-diffusion, which is used to remember the charact
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  - [Recommendations](#recommendations)
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  - [Recommendations](#recommendations)
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- # Table of Contents
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-
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- - [Model Card for yaozhi_character_lora](#model-card-for--model_id-)
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- - [Table of Contents](#table-of-contents)
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- - [Table of Contents](#table-of-contents-1)
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- - [Model Details](#model-details)
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- - [Model Description](#model-description)
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- - [Uses](#使用)
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- - [Direct Use](#direct-use)
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- - [Downstream Use [Optional]](#downstream-use-optional)
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- - [Out-of-Scope Use](#out-of-scope-use)
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- - [Bias, Risks, and Limitations](#bias-risks-and-limitations)
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- - [Recommendations](#recommendations)
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- - [Training Details](#training-details)
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- - [Training Data](#training-data)
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- - [Training Procedure](#training-procedure)
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- - [Preprocessing](#preprocessing)
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- - [Speeds, Sizes, Times](#speeds-sizes-times)
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- - [Evaluation](#evaluation)
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- - [Testing Data, Factors & Metrics](#testing-data-factors--metrics)
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- - [Testing Data](#testing-data)
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- - [Factors](#factors)
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- - [Metrics](#metrics)
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- - [Results](#results)
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- - [Model Examination](#model-examination)
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- - [Environmental Impact](#environmental-impact)
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- - [Technical Specifications [optional]](#technical-specifications-optional)
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- - [Model Architecture and Objective](#model-architecture-and-objective)
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- - [Compute Infrastructure](#compute-infrastructure)
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- - [Hardware](#hardware)
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- - [Software](#software)
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- - [Citation](#citation)
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- - [Glossary [optional]](#glossary-optional)
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- - [More Information [optional]](#more-information-optional)
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- - [Model Card Authors [optional]](#model-card-authors-optional)
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- - [Model Card Contact](#model-card-contact)
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- - [How to Get Started with the Model](#how-to-get-started-with-the-model)
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-
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-
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  # 药指
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  ## 角色
@@ -124,7 +85,7 @@ yaozhi\(china_cloth\)
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  ## 权重
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  推荐
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  0.6 ≤ x ≤ 0.8
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- 此区间有较为稳定的表现
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  ![](https://huggingface.co/0x910nni/yaozhi_character_lora/resolve/main/sample_img/xyz_grid-0003-3742904856.png)
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  ```
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  yaozhi\(fkey\), yaozhi\(china_cloth\)
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- # Bias, Risks, and Limitations
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-
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  ## 动机
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  该模型出于爱好制作,不对其效能做任何保证,如果你认为该模型侵害了你或任何人的权利,请联系我,更多许可信息请参照开源许可。
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  ## 风险
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  使用该模型是完全免费的,但是应小心处置生成的图像数据,虚构角色药指的著作权属于其原作者FKEY。使用者应注意,通过该模型生成的图像数据中可能包含侵犯原作者著作权或违反相关法规的内容,使用者将承担因传播生成数据所产生的风险与责任。
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  ## Recommendations
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- 由于该模型用来描绘一个人物,因此有可能会产生一些人不愿意看到该人物展现出的内容,在分享生成的数据时应该谨慎行事,并做好相应的保护措施,如分级、分类等,考虑他人的感受是有必要的。
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  <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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  # Training Details
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-
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- ## Training Data
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- 该模型的训练集中包含了
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  ## Training Procedure
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  https://github.com/Akegarasu/lora-scripts
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- <!-- This relates heavily to the Technical Specifications. Content here should link to that section when it is relevant to the training procedure. -->
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-
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- ### Preprocessing
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-
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- More information needed
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-
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- ### Speeds, Sizes, Times
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-
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- <!-- This section provides information about throughput, start/end time, checkpoint size if relevant, etc. -->
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-
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- More information needed
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- # Evaluation
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-
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- <!-- This section describes the evaluation protocols and provides the results. -->
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-
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- ## Testing Data, Factors & Metrics
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-
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- ### Testing Data
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-
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- <!-- This should link to a Data Card if possible. -->
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-
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- More information needed
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-
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-
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- ### Factors
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-
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- <!-- These are the things the evaluation is disaggregating by, e.g., subpopulations or domains. -->
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-
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- More information needed
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-
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- ### Metrics
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-
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- <!-- These are the evaluation metrics being used, ideally with a description of why. -->
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-
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- More information needed
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-
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- ## Results
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-
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- More information needed
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-
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- # Model Examination
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-
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- More information needed
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-
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- # Environmental Impact
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-
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- <!-- Total emissions (in grams of CO2eq) and additional considerations, such as electricity usage, go here. Edit the suggested text below accordingly -->
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-
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- Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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-
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- - **Hardware Type:** More information needed
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- - **Hours used:** More information needed
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- - **Cloud Provider:** More information needed
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- - **Compute Region:** More information needed
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- - **Carbon Emitted:** More information needed
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-
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- # Technical Specifications [optional]
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-
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- ## Model Architecture and Objective
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-
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- More information needed
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-
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- ## Compute Infrastructure
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-
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- More information needed
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-
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- ### Hardware
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- More information needed
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- ### Software
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- More information needed
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-
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- # Citation
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-
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- <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
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- **BibTeX:**
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- More information needed
 
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  - [Recommendations](#recommendations)
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  - [Recommendations](#recommendations)
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  # 药指
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  ## 角色
 
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  ## 权重
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  推荐
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  0.6 ≤ x ≤ 0.8
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+ 权重参考
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  ![](https://huggingface.co/0x910nni/yaozhi_character_lora/resolve/main/sample_img/xyz_grid-0003-3742904856.png)
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  ```
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  yaozhi\(fkey\), yaozhi\(china_cloth\)
 
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+ # 声明
 
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  ## 动机
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  该模型出于爱好制作,不对其效能做任何保证,如果你认为该模型侵害了你或任何人的权利,请联系我,更多许可信息请参照开源许可。
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  ## 风险
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  使用该模型是完全免费的,但是应小心处置生成的图像数据,虚构角色药指的著作权属于其原作者FKEY。使用者应注意,通过该模型生成的图像数据中可能包含侵犯原作者著作权或违反相关法规的内容,使用者将承担因传播生成数据所产生的风险与责任。
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  ## Recommendations
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+ 由于该模型用来描绘一个人物,因此有可能会产生一些人不愿意看到该人物展现出的内容,在分享生成的数据时应该谨慎行事,并做好相应的保护措施,如分级、分类等,考虑他人的感受是有必要的。❤️
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  <!-- This section is meant to convey recommendations with respect to the bias, risk, and technical limitations. -->
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  # Training Details
 
 
 
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  ## Training Procedure
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  https://github.com/Akegarasu/lora-scripts
 
 
 
 
 
 
 
 
 
 
 
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+ # 日志
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+ ## 04Apr-Ver.1.5-yaozhi_amn_v15
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+ 基本可以正常使用的版本,相较实验版本有更稳定的表现。
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+ ### 调整
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+ 为了解决实验版本中较常出现的畸变,该版本大幅削弱模型的强度以避免过拟合,因此在较低权重下可能出现特征呈现不足的现象,但出现畸变的情况相较于实验版本已大幅降低。在特质呈现不足时可以适当调高权重,按照预期,在大部分情况下使用接近1的权重值仍不易产生畸变。
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+ ### 性能对比
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+ ![](https://huggingface.co/0x910nni/yaozhi_character_lora/resolve/main/sample_img/xyz_grid-0003-3742904856.png)
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+ ```
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+ masterpiece, best quality, 1girl, yaozhi\(fkey\), yaozhi\(china_cloth\), brown hair, grey eyes, mole under eye, ofuda, standing, full body,
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+ Negative prompt: easynegative,
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+ Steps: 20, Sampler: Euler a, CFG scale: 7, Seed: 296590756, Size: 512x768, Model: anything-v4.5-pruned, Clip skip: 2, AddNet Enabled: True, AddNet Module 1: LoRA, AddNet Model 1: yaozhi_anm(567ecfef81bb), AddNet Weight A 1: 0.4, AddNet Weight B 1: 0.4, Script: X/Y/Z plot, X Type: AddNet Model 1, X Values: "yaozhi_anm(567ecfef81bb), yaozhi_anm_v15(1d0f5027ac0e)", Y Type: AddNet Weight 1, Y Values: "0.4,0.6,0.8,1"
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+ ```
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+ ### 关键词与畸变测试
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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