diff --git a/docs/organization/organizations.md b/docs/organization/organizations.md index fd10475f9a8acdd41ab7f16103b60d36bbefa767..7f7382365d214e29e13c7a89ed2480b0a265c2d3 100644 --- a/docs/organization/organizations.md +++ b/docs/organization/organizations.md @@ -12,7 +12,7 @@ sidebar_position: 2 ### 新建组织 -1. 在模力方舟右上角菜单点击 [新建组织] ，即可创建新组织。 +1. 在模力方舟[**工作台->设置->组织管理->新建组织**]({{SITE_URL}}/dashboard/settings/organizations) ，填写相关信息，即可创建新组织。 ![alt text](/img/organization/image-01.png) @@ -66,21 +66,20 @@ sidebar_position: 2 ### 组织信息修改 -管理员在工作台或组织信息页面，点击组织设置，可以修改以下组织信息。同时也支持同步用户在 Gitee 所修改的组织信息。 +管理员在 [**组织工作台->设置->组织管理->组织信息**]({{SITE_URL}}/dashboard/settings/organizations) 可以修改以下组织信息。同时也支持同步用户在 Gitee 所修改的组织信息。 ![alt text](/img/organization/image-2.png) ### 组织成员管理 -1. 管理员进入「组织工作台 > 组织成员」页面。 -2. 添加成员：管理员点击「管理成员 > 添加成员」，可选择所邀请成员的的组织权限（管理员/开发者），复制链接地址或分享邀请二维码添加成员。 +1. 管理员进入 **组织工作台->组织成员** 页面。 +2. 点击「管理成员 > 添加成员」，可选择所邀请成员的的组织权限（管理员/开发者），复制链接地址或分享邀请二维码添加成员。 您也可以直接输入Gitee用户的个人空间地址或完整的邮箱地址直接添加成员。 ![alt text](/img/organization/image04.png) 3. 移除成员：管理员点击「管理成员」，可选中对应成员并移除，确认后该成员将失去组织资源访问权限。 - ![alt text](/img/organization/image-3.png) ### 组织权限说明 diff --git a/docs/products/apis/images-vision/quick_tuning_guide.md b/docs/products/apis/images-vision/quick_tuning_guide.md new file mode 100644 index 0000000000000000000000000000000000000000..77300b465e0048ef1e717927e366e1d4bc27df6e --- /dev/null +++ b/docs/products/apis/images-vision/quick_tuning_guide.md @@ -0,0 +1,44 @@ +--- +sidebar_position: 11 +--- + +# 文生图模型参数调优指南 + +本文档将介绍如何快速调整和优化文生图模型的参数和配置，以达到最佳生成效果。 +### 一、AnimeSharp（动漫超分模型） +#### 核心定位 +专为动漫风格优化的超分辨率模型，擅长保留线条锐度与色彩饱和度，比通用超分模型（如Real-ESRGAN）在动漫场景效果提升40%。 + +#### 参数设置（必调项） +| 参数名称 | 取值范围 | 作用说明 | 推荐设置（默认值） | +|----------------|----------------|--------------------------------------------------------------------------|--------------------------| +| `放大倍数` | 2x/4x | 控制输出图像尺寸，4x为模型优化倍数，效果最佳 | 4x | +| `锐化强度` | 0.1-1.0 | 调整动漫线条锐化程度，过高易出现噪点，过低线条模糊 | 0.7（平衡锐度与自然度） | +| `降噪阈值` | 0-50 | 去除原图噪声（如扫描件斑点），值越高降噪越强，可能损失细节 | 20（适合中等噪声图像） | + +#### Prompt工程（输入说明） +- **必含要素**：明确标注“动漫风格”+ 图像主体（如“二次元少女插画”“日式动漫场景”），避免模型误判为写实风格。 +- **示例**： + 输入图片+补充说明“动漫风格人物头像，线条清晰，高对比度色彩”，模型会优先优化发丝、服饰纹理等动漫关键细节。 + +#### 适用场景 +动漫插画放大、老番截图修复、游戏原画高清化，**不建议用于写实照片**（会导致人脸/景物失真）。 + + +### 二、FLUX.1-schnell（快速高质量文生图） +#### 核心定位 +采用潜在对抗扩散蒸馏技术，1-4步即可生成高清图像，平衡速度与质量，支持最大2048*2048分辨率。 + +#### 参数设置（核心优化项） +| 参数名称 | 取值范围 | 作用说明 | 场景适配策略 | +|----------------|----------------|--------------------------------------------------------------------------|--------------------------| +| `生成步数` | 1-4步 | 步数越多细节越丰富，但耗时增加：1步（快但细节少），4步（质量最佳） | 快速预览用1步，正式输出用3-4步 | +| `分辨率` | 1024*1024/1536*1536/2048*2048 | 高分辨率需配合异步接口（避免超时），适合海报、壁纸创作 | 社交媒体用1024*1024，印刷用2048*2048 | +| `风格强度` | 0.5-2.0 | 控制风格迁移力度，值越高越贴近Prompt描述（如“赛博朋克”风格特征更明显） | 1.2（平衡还原度与创意性） | + +#### Prompt工程（结构化模板） +```markdown +主体描述（必含）：[具体角色/场景，如“银发猫耳少女”“未来都市夜景”] +风格限定（必含）：[动漫/写实/油画等，如“新海诚风格动画场景”] +细节补充（选填）：[光影/色彩/构图，如“逆光效果，水面反射，暖色调”] +质量要求（选填）：[清晰度/细节度，如“8K精度，发丝根根可见”] \ No newline at end of file diff --git a/docs/products/training/image-generate.md b/docs/products/training/image-generate.md index 406f5322242648c8503bffa4e6bcf2892393f5ac..670519d76f4f0042be537161e34cbdceddc0503d 100644 --- a/docs/products/training/image-generate.md +++ b/docs/products/training/image-generate.md @@ -14,9 +14,12 @@ sidebar_position: 2 ## 步骤一：创建微调任务 -在模力方舟控制台的左边侧边栏找到 `模型微调`。点击右上角 `新建任务`，填写任务名称，点击 `创建任务`。 +在模力方舟控制台的左边侧边栏找到 `模型微调`，点击右上角 `新建任务`。 ![entry](/img/training/guide/create-task.png) + +填写任务名称并选择任务类型和微调方式、基础模型等： + ![entry](/img/training/guide/create-task-form.png) ## 步骤二：数据集准备 @@ -33,7 +36,6 @@ sidebar_position: 2 将图片上传到微调任务中，点击 `上传图片` 按钮，选择图片文件。 -![entry](/img/training/guide/task-data-form.png) ![entry](/img/training/guide/task-data-upload.png) 图片上传完成后，点击`打标/裁剪`按钮，系统将为您的图片进行打标。 @@ -50,7 +52,7 @@ sidebar_position: 2 ## 步骤三：微调参数设置 -任务创建后，进入任务设置页面，左侧 `参数设置` 包括模型选择、训练轮次、单张学习次数等，您可以根据自己的需求进行设置。 +点击 `下一步，配置训练参数` ，进入任务设置页面，包括模型选择、训练轮次、单张学习次数等，您可以根据自己的需求进行设置。 - **循环轮次**： 决定了模型学习整个数据集的次数 （每轮保存一个 `LoRA` 模型） - **单张学习次数**： 决定了模型在每个循环轮次 (Epochs) 中学习每张图片的次数 @@ -59,7 +61,10 @@ sidebar_position: 2 ![entry](/img/training/guide/task-data-args.png) -## 步骤四：模型训练 +## 步骤四：算力选择 +点击 `下一步` ，进入算力选择页面，确定后点击 `支付并开始训练` + +![entry](/img/training/guide/task-data-cpu.png) 点击右下载角 `开始训练`按钮，进入任务排队状态，稍等片刻，系统将为您的任务分配资源，开始训练。 @@ -81,10 +86,9 @@ sidebar_position: 2 ## 步骤六：模型保存 -首先需要确定模型保存到哪，点击页面中的设置，在选择框中选择已有的模型仓库，或者新建模型仓库。 +首先需要确定模型保存的位置，点击页面中的设置，在选择框中选择已有的模型仓库，或者新建模型仓库。 ![entry](/img/training/guide/task-result-save-set-repo.png) -![entry](/img/training/guide/task-result-save.png) 您可以跟据效果图，挑选出需要保存的 `LoRA` 模型，点击 `保存到仓库` 按钮，稍等片刻，模型将保存到您的仓库中。 diff --git a/docs/products/training/text-generate.md b/docs/products/training/text-generate.md index 9ad5376cedc3b0ef2c0c39a30f5c3c7d90f49d41..1c2c3300a77c15d1a82030d550ac562ad5df6f5a 100644 --- a/docs/products/training/text-generate.md +++ b/docs/products/training/text-generate.md @@ -74,13 +74,13 @@ import ReactPlayer from 'react-player/lazy'; ![左边栏](/img/training/guide-llm/fist-go-to-finetune.png) -在个人微调总览的右上角，点击“新建任务”，即可新建一个微调任务。如下图所示： +在个人微调总览的右上角，点击“新建任务”，即可新建一个微调任务。 ![个人微调总览](/img/training/guide-llm/fist-great-task.png) -微调任务选项的界面如下图所示。首先为新任务取一个响亮的名字，然后选择“文本生成”，接下来做“算力选择”，最后点击“创建任务”后，就可以愉快的开始训练之旅了~ +首先为新任务取一个响亮的名字，选择“文本生成”，并选择微调方式和基础模型，上传数据集，就可以愉快的开始训练之旅了~ -![微调任务配置](/img/training/guide-llm/fist-setup-task.png) +![微调任务配置](/img/training/guide-llm/first-setup-task.png) ### 配置训练参数 diff --git a/docs/products/workflow/api.md b/docs/products/workflow/api.md index e8f3a71c066896470d1ab964d2d9b7777e03e4c5..f72bcfca8ca6d860599024a2d27b7de8aaae9854 100644 --- a/docs/products/workflow/api.md +++ b/docs/products/workflow/api.md @@ -1,6 +1,7 @@ --- sidebar_position: 6 --- +import ReactPlayer from 'react-player/lazy'; # 使用 API 调用流水线 @@ -19,3 +20,12 @@ sidebar_position: 6 访问令牌是调用 API 的凭证，您需要在 [**工作台->设置->访问令牌**]({{SITE_URL}}/dashboard/settings/tokens) ，获取您的访问令牌。 ![api](/img/serverless-api/integrated/integrate3.png) + +## 调用示例 +### AI 生图全攻略 —— 从模型选择到 API 部署的一站式指南 + + \ No newline at end of file diff --git a/static/img/base/apiimage.png b/static/img/base/apiimage.png deleted file mode 100644 index 27f1272ec74ea69a10fe135de5f37b2e63e2aa4e..0000000000000000000000000000000000000000 Binary files a/static/img/base/apiimage.png and /dev/null differ diff --git a/static/img/base/qaimg.png b/static/img/base/qaimg.png deleted file mode 100644 index b9ceeb34cd3ade21f34d849c3baddf67d2d74afe..0000000000000000000000000000000000000000 Binary files a/static/img/base/qaimg.png and /dev/null differ diff --git a/static/img/base/qaimg1.png b/static/img/base/qaimg1.png deleted file mode 100644 index 32f4adf2138958a136fe79d31e8e292e71b447b2..0000000000000000000000000000000000000000 Binary files a/static/img/base/qaimg1.png and /dev/null differ diff --git a/static/img/base/qaimg2.png b/static/img/base/qaimg2.png deleted file mode 100644 index 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