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.gitattributes

@@ -38,3 +38,4 @@ Checkpoint/diffusers/SDXL/Illustrious_Finetuned/NoobAI/danbooru_artist.csv filte
 Checkpoint/diffusers/SDXL/Illustrious_Finetuned/NoobAI/danbooru_character.csv filter=lfs diff=lfs merge=lfs -text
 Checkpoint/diffusers/SDXL/Illustrious_Finetuned/NoobAI/e621_artist.csv filter=lfs diff=lfs merge=lfs -text
 Checkpoint/diffusers/SDXL/Illustrious_Finetuned/NoobAI/e621_character.csv filter=lfs diff=lfs merge=lfs -text
+Checkpoint/diffusers/SDXL/SDXL_10_Finetuned/AnimagineXL4.0/YPe3MCnQAHM7nCZ1vQ7vI.png filter=lfs diff=lfs merge=lfs -text

Checkpoint/diffusers/SDXL/SDXL_10_Finetuned/AnimagineXL4.0/animagineXL40_v4Opt.metadata.json

@@ -0,0 +1,26 @@
+{
+  "file_name": "animagineXL40_v4Opt",
+  "model_name": "animagineXL40_v4Opt",
+  "file_path": "/mnt/e/sdwebui/models/diffusers/SDXL/SDXL_10_Finetuned/Anime/AnimagineXL4.0/animagineXL40_v4Opt.safetensors",
+  "size": 5135149760,
+  "modified": 1772392125.840544,
+  "sha256": "3e16857a3a195315e01b47d8b76b7e932856cc71e9b5812c03f891de98551743",
+  "base_model": "Unknown",
+  "preview_url": "",
+  "preview_nsfw_level": 0,
+  "notes": "",
+  "from_civitai": false,
+  "civitai": {},
+  "tags": [],
+  "modelDescription": "",
+  "civitai_deleted": true,
+  "favorite": false,
+  "exclude": false,
+  "db_checked": false,
+  "skip_metadata_refresh": false,
+  "metadata_source": null,
+  "last_checked_at": 1772525939.718238,
+  "hash_status": "completed",
+  "usage_tips": "{}",
+  "sub_type": "checkpoint"
+}

Checkpoint/diffusers/SDXL/SDXL_10_Finetuned/AnimagineXL4.0/animagineXL40_v4Opt.safetensors

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:3e16857a3a195315e01b47d8b76b7e932856cc71e9b5812c03f891de98551743
+size 5135149760

Checkpoint/diffusers/SDXL/SDXL_10_Finetuned/AnimagineXL4.0/animagineXL40_v4Opt.sha256

@@ -0,0 +1 @@
+6327eca98bfb6538dd7a4edce22484a1bbc57a8cff6b11d075d40da1afb847ac

Checkpoint/diffusers/SDXL/SDXL_10_Finetuned/AnimagineXL4.0/animagineXL40_v4Opt.txt

@@ -0,0 +1,85 @@
+步数: 28,25-28
+CFG: 5,4-7
+采样器: Euler Ancestral
+调度器: normal
+
+
+负面提示
+lowres, bad anatomy, bad hands, text, error, missing finger, extra digits, fewer digits, cropped, worst quality, low quality, low score, bad score, average score, signature, watermark, username, blurry
+
+局限性
+提示格式：仅限于基于标签的文本提示;自然语言输入可能无效
+
+解剖学：可能难以处理复杂的解剖细节，尤其是手部姿势和手指数数
+
+文本生成：当前不支持且不建议在图像中呈现文本
+
+新字符：由于训练数据可用性有限，最近字符的准确性可能较低
+
+多个角色：具有多个角色的场景可能需要仔细的提示工程
+
+分辨率：更高的分辨率（例如 1536x1536）可能会显示降级，因为训练使用的是原始 SDXL 分辨率
+
+样式一致性：可能需要特定的样式标签，因为培训更侧重于身份保留而不是样式一致性
+
+1. 提示结构
+该模型使用基于标签的字幕和标签排序方法进行训练。请使用此结构化模板：
+
+1girl/1boy/1other, character name, from which series, rating, everything else in any order and end with quality enhancement
+2. 质量增强标签
+在提示符末尾添加以下标签：
+
+masterpiece, high score, great score, absurdres
+
+ 最终提示结构示例
+1girl, firefly \(honkai: star rail\), honkai \(series\), honkai: star rail, safe, casual, solo, looking at viewer, outdoors, smile, reaching towards viewer, night, masterpiece, high score, great score, absurdres
+特殊标签
+该模型支持各种特殊标签，这些标签可用于控制图像生成过程的不同方面。这些标签经过仔细加权和测试，可在不同的提示中提供一致的结果
+质量标签
+质量标签是直接影响整体图像质量和细节层次的基本控制。可用的质量标签：
+
+masterpiece
+
+best quality
+
+low quality
+
+worst quality
+
+分数标签
+
+与基本质量标签相比，分数标签提供了对图像质量的更细致的控制。在此模型中，它们对 Steering 输出质量的影响更大。可用的分数标签：
+
+high score
+
+great score
+
+good score
+
+average score
+
+bad score
+
+low score
+
+时间标签
+时间标签允许您根据特定时间段或年份影响艺术风格。这对于生成具有特定时代艺术特征的图像非常有用。支持的年份标签：
+
+year 2005
+
+year {n}
+
+year 2025
+
+评级标签
+评级标签有助于控制所生成图片的内容安全级别。应负责任地使用这些标签，并遵守适用的法律和平台政策。支持的评级：
+
+safe
+
+sensitive
+
+nsfw
+
+explicit
+
+培训信息