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A-表番角色/偷窥孔/emiru ikuno-lora-nochekaiser.civitai.info

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-        "description": "<ul>\n<li><strong><span style=\"color:#fa5252\">THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!</span></strong></li>\n<li><strong>The associated trigger words are only for reference, it may need to be adjusted at some times</strong>.</li>\n<li>The recommended weight for the embedding model is 1, which provides higher fidelity; if greater generalization is required, it can be lowered to 0.5. </li>\n<li>The recommended weight for the LoRA model is 0.85; if there's evidence of contamination, consider lowering it to 0.6.</li>\n</ul>\n<h2>How to Use This Model</h2>\n<p><strong><span style=\"color:#fa5252\">THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!</span></strong>. \nIn this case, you need to download both <code>hiyori_kotobuki_imocho.pt</code> and \n<code>hiyori_kotobuki_imocho.safetensors</code>, then <strong>use <code>hiyori_kotobuki_imocho.pt</code> as texture inversion embedding, and use\n<code>hiyori_kotobuki_imocho.safetensors</code> as LoRA at the same time</strong>.</p>\n<p><strong><span style=\"color:#fa5252\">\u3053\u306e\u30e2\u30c7\u30eb\u306b\u306f2\u3064\u306e\u30d5\u30a1\u30a4\u30eb\u304c\u3042\u308a\u307e\u3059\u3002\u4e00\u7dd2\u306b\u4f7f\u3046\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\uff01\uff01\uff01</span></strong>\u3002\n\u3053\u306e\u5834\u5408\u3001<code>hiyori_kotobuki_imocho.pt</code>\u3068<code>hiyori_kotobuki_imocho.safetensors</code>\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<code>hiyori_kotobuki_imocho.pt</code>\u3092\u30c6\u30af\u30b9\u30c1\u30e3\u53cd\u8ee2\u57cb\u3081\u8fbc\u307f\u3068\u3057\u3066\u4f7f\u7528\u3057\u3001\u540c\u6642\u306b<code>hiyori_kotobuki_imocho.safetensors</code>\u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002</p>\n<p><strong><span style=\"color:#fa5252\">\u8fd9\u4e2a\u6a21\u578b\u6709\u4e24\u4e2a\u6587\u4ef6\u3002\u4f60\u9700\u8981\u540c\u65f6\u4f7f\u7528\u5b83\u4eec\uff01\uff01\uff01</span></strong>\u3002\n\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u9700\u8981\u4e0b\u8f7d<code>hiyori_kotobuki_imocho.pt</code>\u548c<code>hiyori_kotobuki_imocho.safetensors</code>\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06<code>hiyori_kotobuki_imocho.pt</code>\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528<code>hiyori_kotobuki_imocho.safetensors</code>\u4f5c\u4e3aLoRA\u3002</p>\n<p><strong><span style=\"color:#fa5252\">\uc774 \ubaa8\ub378\uc740 \ub450 \uac1c\uc758 \ud30c\uc77c\uc774 \uc788\uc2b5\ub2c8\ub2e4. \ub450 \ud30c\uc77c\uc744 \ud568\uaed8 \uc0ac\uc6a9\ud574\uc57c \ud569\ub2c8\ub2e4!!!</span></strong>. \n\uc774 \uacbd\uc6b0\uc5d0\ub294 <code>hiyori_kotobuki_imocho.pt</code>\uc640 <code>hiyori_kotobuki_imocho.safetensors</code> \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 <strong><code>hiyori_kotobuki_imocho.pt</code>\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 <code>hiyori_kotobuki_imocho.safetensors</code>\uc744 LoRA\ub85c \uc0ac\uc6a9\ud558\uc154\uc57c \ud569\ub2c8\ub2e4</strong>.</p>\n<p>(Translated with ChatGPT)</p>\n<p>The trigger word is <code>hiyori_kotobuki_imocho</code>, and the recommended tags are <code>best quality, masterpiece, highres, solo, {hiyori_kotobuki_imocho:1.15}, short_hair, wings, breasts, hair_bow, bow, cleavage, orange_hair, red_eyes, open_mouth, brown_hair, medium_breasts</code>.</p>\n<h2>How This Model Is Trained</h2>\n<p>This model is trained with <a href=\"https://github.com/7eu7d7/HCP-Diffusion\" rel=\"ugc\">HCP-Diffusion</a>. \nAnd the auto-training framework is maintained by <a href=\"https://huggingface.co/deepghs\" rel=\"ugc\">DeepGHS Team</a>.</p>\n<h2>Why Some Preview Images Not Look Like Hiyori Kotobuki Imocho</h2>\n<p><strong>All the prompt texts</strong> used on the preview images (which can be viewed by clicking on the images) \n<strong>are automatically generated using clustering algorithms</strong> based on feature information extracted from the \ntraining dataset. The seed used during image generation is also randomly generated, and the images have \nnot undergone any selection or modification. As a result, there is a possibility of the mentioned \nissues occurring.</p>\n<p>In practice, based on our internal testing, most models that experience such issues perform better in \nactual usage than what is seen in the preview images. <strong>The only thing you may need to do is adjusting \nthe tags you are using</strong>.</p>\n<h2>I Felt This Model May Be Overfitting or Underfitting, What Shall I Do</h2>\n<p>Our model has been published on <a href=\"https://huggingface.co/CyberHarem/hiyori_kotobuki_imocho\" rel=\"ugc\">huggingface repository - CyberHarem/hiyori_kotobuki_imocho</a>, where\nmodels of all the steps are saved. Also, we published the training dataset on \n<a href=\"https://huggingface.co/datasets/CyberHarem/hiyori_kotobuki_imocho\" rel=\"ugc\">huggingface dataset - CyberHarem/hiyori_kotobuki_imocho</a>, which may be helpful to you.</p>\n<h2>Why Not Just Using The Better-Selected Images</h2>\n<p>Our model's entire process, from data crawling, training, to generating preview images and publishing, \nis <strong>100% automated without any human intervention</strong>. It's an interesting experiment conducted by our team, \nand for this purpose, we have developed a complete set of software infrastructure, including data filtering, \nautomatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or \nsuggestions as they are highly valuable to us.</p>\n<h2>Why Can't the Desired Character Outfits Be Accurately Generated</h2>\n<p>Our current training data is sourced from various image websites, and for a fully automated pipeline, \nit's challenging to accurately predict which official images a character possesses. \nConsequently, outfit generation relies on clustering based on labels from the training dataset \nin an attempt to achieve the best possible recreation. We will continue to address this issue and attempt \noptimization, but it remains a challenge that cannot be completely resolved. The accuracy of outfit \nrecreation is also unlikely to match the level achieved by manually trained models.</p>\n<p>In fact, this model's greatest strengths lie in recreating the inherent characteristics of the characters \nthemselves and its relatively strong generalization capabilities, owing to its larger dataset. \nAs such, <strong>this model is well-suited for tasks such as changing outfits, posing characters, and, \nof course, generating NSFW images of characters!</strong>\ud83d\ude09\".</p>\n<p>For the following groups, it is not recommended to use this model and we express regret:</p>\n<ol>\n<li>Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.</li>\n<li>Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.</li>\n<li>Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.</li>\n<li>Individuals who are not comfortable with the fully automated process of training character models using LoRA, or those who believe that training character models must be done purely through manual operations to avoid disrespecting the characters.</li>\n<li>Individuals who finds the generated image content offensive to their values.</li>\n</ol>",
+        "description": "<!--\n* Due to Civitai's TOS, some images cannot be uploaded. THE FULL PREVIEW IMAGES CAN BE FOUND ON HUGGINGFACE.\n* For models version v1.5.1 or v2.0+, you can simply use them on webui like other LoRAs, they are trained on kohya script.\n* For models version v1.5 or v1.4-, you have to use both 2 files to run it. see \"How to use Pivotal Tuned models\" in description for details.\n* The pruned character tags are short hair, wings, bow, hair bow, breasts, brown hair, orange hair, medium breasts, pink bow, ribbon, red eyes, angel wings. You can add them into prompts when core features (e.g. hair color) of character is not so stable.\n* Recommended weight of pt file is 0.7-1.1, weight of LoRA is 0.5-0.85. \n* Images were generated using some fixed prompts and dataset-based clustered prompts. Random seeds were used, ruling out cherry-picking. What you see here is what you can get.\n* No specialized training was done for outfits. You can check our provided preview post to get the prompts corresponding to the outfits.\n* This model is trained with 974 images.\n* Training configuration file is here.\n* The step we auto-selected is 5676 to balance the fidelity and controllability of the model.\nHere is the overview of all the steps. You can try the other recommended steps in\nhuggingface repository - CyberHarem/hiyori_kotobuki_imocho.\n\n\n\n\n\n\nHow to Use This Model\n\nThis part is only for model version v1.5.1 or v2.0+.\n\n\n\nYou can simply use it like other LoRAs. We trained this model with kohya scripts.\n\n\n\n\u4ed6\u306eLoRA\u3068\u540c\u69d8\u306b\u7c21\u5358\u306b\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002\u3053\u306e\u30e2\u30c7\u30eb\u306fkohya\u30b9\u30af\u30ea\u30d7\u30c8\u3067\u8a13\u7df4\u3055\u308c\u307e\u3057\u305f\u3002\n\n\n\n\ub2e4\ub978 LoRA\ucc98\ub7fc \uac04\ub2e8\ud788 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc6b0\ub9ac\ub294 \uc774 \ubaa8\ub378\uc744 kohya \uc2a4\ud06c\ub9bd\ud2b8\ub85c \ud6c8\ub828\ud588\uc2b5\ub2c8\ub2e4.\n\n\n\n\u60a8\u53ef\u4ee5\u50cf\u5176\u4ed6LoRAs\u4e00\u6837\u7b80\u5355\u5730\u4f7f\u7528\u5b83\u3002\u6211\u4eec\u4f7f\u7528kohya\u811a\u672c\u5bf9\u8be5\u6a21\u578b\u8fdb\u884c\u4e86\u8bad\u7ec3\u3002\n\n\n\n(Translated with ChatGPT)\n\n\n\nIf you are looking for model waifus and or interested in our technology, \nyou can enter our discord server.\n\n\n\nHow This Model Is Trained\n\n\n* This model is trained with kohya-ss/sd-scripts,\nthe images are generated with a1111's webui \nand API sdk.\n* The auto-training framework is maintained by \nDeepGHS Team.\n* Dataset used for training is the `stage3-p480-1200` in \nCyberHarem/hiyori_kotobuki_imocho,\nwhich contains 974 images.\n* The step we auto-selected is 5676 to balance the fidelity and controllability of the model.\n* Training configuration file is here.\n\n\nFor more training details and recommended steps, take a look at \nhuggingface repository - CyberHarem/hiyori_kotobuki_imocho.\n\n\n\nHow to Use Pivotal Tuned Models\n\nThis part is only for model version v1.5 or v1.4-.\n\n\n\nTHIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER IF YOU ARE USING WEBUI v1.6 OR LOWER VERSION!!!. \nIn this case, you need to download both `hiyori_kotobuki_imocho.pt` and `hiyori_kotobuki_imocho.safetensors`, \nthen put `hiyori_kotobuki_imocho.pt` to the embeddings folder, and use `hiyori_kotobuki_imocho.safetensors` as LoRA at the same time.\nIf you are using webui v1.7+, just use the safetensors file like the common LoRAs.\nThis is because the embedding-bundled LoRA/Lycoris model are now officially supported by a1111's webui, \nsee here for more details.\n\n\n\n\u3053\u306e\u30e2\u30c7\u30eb\u306b\u306f2\u3064\u306e\u30d5\u30a1\u30a4\u30eb\u304c\u3042\u308a\u307e\u3059\u3002WebUI v1.6 \u4ee5\u4e0b\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u5834\u5408\u306f\u3001\u3053\u308c\u3089\u3092\u4e00\u7dd2\u306b\u4f7f\u7528\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\uff01\uff01\uff01\n\u3053\u306e\u5834\u5408\u3001`hiyori_kotobuki_imocho.pt` \u3068 `hiyori_kotobuki_imocho.safetensors` \u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u3001\n\u305d\u306e\u5f8c\u3001`hiyori_kotobuki_imocho.pt` \u3092 `embeddings` \u30d5\u30a9\u30eb\u30c0\u306b\u5165\u308c\u3001\u540c\u6642\u306b `hiyori_kotobuki_imocho.safetensors` \u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u307e\u3059\u3002\nwebui v1.7+\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u5834\u5408\u3001\u4e00\u822c\u7684\u306aLoRAs\u306e\u3088\u3046\u306bsafetensors\u30d5\u30a1\u30a4\u30eb\u3092\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002\n\u3053\u308c\u306f\u3001\u57cb\u3081\u8fbc\u307f\u30d0\u30f3\u30c9\u30eb\u3055\u308c\u305fLoRA/Lycoris\u30e2\u30c7\u30eb\u304c\u73fe\u5728\u3001a1111\u306ewebui\u306b\u516c\u5f0f\u306b\u30b5\u30dd\u30fc\u30c8\u3055\u308c\u3066\u3044\u308b\u305f\u3081\u3067\u3059\u3002\n\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3053\u3061\u3089\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002\n\n\n\n\u6b64\u6a21\u578b\u5305\u542b\u4e24\u4e2a\u6587\u4ef6\u3002\u5982\u679c\u60a8\u4f7f\u7528\u7684\u662f WebUI v1.6 \u6216\u66f4\u4f4e\u7248\u672c\uff0c\u60a8\u9700\u8981\u540c\u65f6\u4f7f\u7528\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff01\n\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u9700\u8981\u4e0b\u8f7d `hiyori_kotobuki_imocho.pt` \u548c `hiyori_kotobuki_imocho.safetensors` \u4e24\u4e2a\u6587\u4ef6\uff0c\n\u7136\u540e\u5c06 `hiyori_kotobuki_imocho.pt` \u653e\u5165 `embeddings` \u6587\u4ef6\u5939\u4e2d\uff0c\u5e76\u540c\u65f6\u4f7f\u7528 `hiyori_kotobuki_imocho.safetensors` \u4f5c\u4e3a LoRA\u3002\n\u5982\u679c\u60a8\u6b63\u5728\u4f7f\u7528 webui v1.7 \u6216\u66f4\u9ad8\u7248\u672c\uff0c\u53ea\u9700\u50cf\u5e38\u89c4 LoRAs \u4e00\u6837\u4f7f\u7528 safetensors \u6587\u4ef6\u3002\n\u8fd9\u662f\u56e0\u4e3a\u5d4c\u5165\u5f0f LoRA/Lycoris \u6a21\u578b\u73b0\u5728\u5df2\u7ecf\u5f97\u5230 a1111's webui \u7684\u5b98\u65b9\u652f\u6301\uff0c\n\u66f4\u591a\u8be6\u60c5\u8bf7\u53c2\u89c1\u8fd9\u91cc\u3002\n\n\n\n(Translated with ChatGPT)\n\n\n\nThe trigger word is `hiyori_kotobuki_imocho`, and the pruned tags are `short_hair, wings, bow, hair_bow, breasts, brown_hair, orange_hair, medium_breasts, pink_bow, ribbon, red_eyes, angel_wings`.\nWhen some features (e.g. hair color) are not so stable at some times, \nyou can add these them into your prompt.\n\n\n\nWhy Some Preview Images Not Look Like Her\n\nAll the prompt texts used on the preview images (which can be viewed by clicking on the images) \nare automatically generated using clustering algorithms based on feature information extracted from the \ntraining dataset. The seed used during image generation is also randomly generated, and the images have \nnot undergone any selection or modification. As a result, there is a possibility of the mentioned \nissues occurring.\n\n\n\nIn practice, based on our internal testing, most models that experience such issues perform better in \nactual usage than what is seen in the preview images. The only thing you may need to do is adjusting \nthe tags you are using.\n\n\n\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do\n\nThe step you see here is auto-selected. We also recommend other good steps for you to try.\nClick here to select your favourite step.\n\n\n\nOur model has been published on \nhuggingface repository - CyberHarem/hiyori_kotobuki_imocho, \nwhere models of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/hiyori_kotobuki_imocho, \nwhich may be helpful to you.\n\n\n\nWhy Not Just Using The Better-Selected Images\n\nOur model's entire process, from data crawling, training, to generating preview images and publishing, \nis 100% automated without any human intervention. It's an interesting experiment conducted by our team, \nand for this purpose, we have developed a complete set of software infrastructure, including data filtering, \nautomatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or \nsuggestions as they are highly valuable to us.\n\n\n\nWhy Can't the Desired Character Outfits Be Accurately Generated\n\nOur current training data is sourced from various image websites, and for a fully automated pipeline, \nit's challenging to accurately predict which official images a character possesses. \nConsequently, outfit generation relies on clustering based on labels from the training dataset \nin an attempt to achieve the best possible recreation. We will continue to address this issue and attempt \noptimization, but it remains a challenge that cannot be completely resolved. The accuracy of outfit \nrecreation is also unlikely to match the level achieved by manually trained models.\n\n\n\nIn fact, this model's greatest strengths lie in recreating the inherent characteristics of the characters \nthemselves and its relatively strong generalization capabilities, owing to its larger dataset. \nAs such, this model is well-suited for tasks such as changing outfits, posing characters, and, \nof course, generating NSFW images of characters!\ud83d\ude09\".\n\n\n\nFor the following groups, it is not recommended to use this model and we express regret:\n\n\n\n\n* Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.\n* Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.\n* Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.\n* Individuals who are not comfortable with the fully automated process of training character models using LoRA, or those who believe that training character models must be done purely through manual operations to avoid disrespecting the characters.\n* Individuals who finds the generated image content offensive to their values.\n-->",
         "tags": [
             "character",
-            "female",
             "wings",
             "red eyes",
-            "cleavage",
             "medium breasts",
             "breasts",
-            "game character",
             "short hair",
-            "open mouth",
+            "ribbon",
             "brown hair",
             "bow",
             "orange hair",
-            "girl\uff0c",
+            "angel wings",
             "hair bow",
-            "fully automated",
-            "imocho",
-            "imocho hiyori kotobuki"
+            "pink_bow",
+            "my sister is unusual",
+            "recently",
+            "hiyori kotobuki",
+            "\u5bff\u65e5\u548c"
         ],
         "allowNoCredit": true,
-        "allowCommercialUse": "Sell",
+        "allowCommercialUse": [
+            "Image",
+            "RentCivit",
+            "Rent"
+        ],
         "allowDerivatives": true,
         "allowDifferentLicense": true
     },
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A-表番角色/最近，妹妹的样子有点怪？/hiyori_kotobuki_imocho.safetensors

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A-表番角色/最近，妹妹的样子有点怪？/mitsuki_kanzaki_imocho.civitai.info

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 {
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     "modelId": 137303,
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-    "createdAt": "2023-08-30T03:47:43.685Z",
-    "updatedAt": "2023-08-30T03:49:12.904Z",
+    "name": "v1.5.1",
+    "createdAt": "2024-04-03T05:45:53.180Z",
+    "updatedAt": "2024-04-03T05:46:59.659Z",
+    "status": "Published",
+    "publishedAt": "2024-04-03T05:46:59.656Z",
     "trainedWords": [
         "mitsuki_kanzaki_imocho",
-        "black_hair, long_hair, bangs, purple_eyes"
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     "trainingDetails": null,
     "baseModel": "SD 1.5",
     "baseModelType": null,
     "earlyAccessTimeFrame": 0,
-    "description": "",
+    "description": "<!--\nModel mitsuki_kanzaki_imocho version v1.5.1\n-->",
     "stats": {
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     "model": {
-        "name": "Mitsuki Kanzaki (Recently, My Sister Is Unusual)",
+        "name": "Mitsuki Kanzaki/\u795e\u524d\u7f8e\u6708 (Recently, My Sister Is Unusual)",
         "type": "LORA",
         "nsfw": false,
         "poi": false,
-        "description": "<ul>\n<li><strong><span style=\"color:#fa5252\">THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!</span></strong></li>\n<li><strong>The associated trigger words are only for reference, it may need to be adjusted at some times</strong>.</li>\n<li>The recommended weight for the embedding model is 1, which provides higher fidelity; if greater generalization is required, it can be lowered to 0.5. </li>\n<li>The recommended weight for the LoRA model is 0.85; if there's evidence of contamination, consider lowering it to 0.6.</li>\n</ul>\n<h2>How to Use This Model</h2>\n<p><strong><span style=\"color:#fa5252\">THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!</span></strong>. \nIn this case, you need to download both <code>mitsuki_kanzaki_imocho.pt</code> and \n<code>mitsuki_kanzaki_imocho.safetensors</code>, then <strong>use <code>mitsuki_kanzaki_imocho.pt</code> as texture inversion embedding, and use\n<code>mitsuki_kanzaki_imocho.safetensors</code> as LoRA at the same time</strong>.</p>\n<p><strong><span style=\"color:#fa5252\">\u3053\u306e\u30e2\u30c7\u30eb\u306b\u306f2\u3064\u306e\u30d5\u30a1\u30a4\u30eb\u304c\u3042\u308a\u307e\u3059\u3002\u4e00\u7dd2\u306b\u4f7f\u3046\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\uff01\uff01\uff01</span></strong>\u3002\n\u3053\u306e\u5834\u5408\u3001<code>mitsuki_kanzaki_imocho.pt</code>\u3068<code>mitsuki_kanzaki_imocho.safetensors</code>\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<code>mitsuki_kanzaki_imocho.pt</code>\u3092\u30c6\u30af\u30b9\u30c1\u30e3\u53cd\u8ee2\u57cb\u3081\u8fbc\u307f\u3068\u3057\u3066\u4f7f\u7528\u3057\u3001\u540c\u6642\u306b<code>mitsuki_kanzaki_imocho.safetensors</code>\u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002</p>\n<p><strong><span style=\"color:#fa5252\">\u8fd9\u4e2a\u6a21\u578b\u6709\u4e24\u4e2a\u6587\u4ef6\u3002\u4f60\u9700\u8981\u540c\u65f6\u4f7f\u7528\u5b83\u4eec\uff01\uff01\uff01</span></strong>\u3002\n\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u9700\u8981\u4e0b\u8f7d<code>mitsuki_kanzaki_imocho.pt</code>\u548c<code>mitsuki_kanzaki_imocho.safetensors</code>\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06<code>mitsuki_kanzaki_imocho.pt</code>\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528<code>mitsuki_kanzaki_imocho.safetensors</code>\u4f5c\u4e3aLoRA\u3002</p>\n<p><strong><span style=\"color:#fa5252\">\uc774 \ubaa8\ub378\uc740 \ub450 \uac1c\uc758 \ud30c\uc77c\uc774 \uc788\uc2b5\ub2c8\ub2e4. \ub450 \ud30c\uc77c\uc744 \ud568\uaed8 \uc0ac\uc6a9\ud574\uc57c \ud569\ub2c8\ub2e4!!!</span></strong>. \n\uc774 \uacbd\uc6b0\uc5d0\ub294 <code>mitsuki_kanzaki_imocho.pt</code>\uc640 <code>mitsuki_kanzaki_imocho.safetensors</code> \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 <strong><code>mitsuki_kanzaki_imocho.pt</code>\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 <code>mitsuki_kanzaki_imocho.safetensors</code>\uc744 LoRA\ub85c \uc0ac\uc6a9\ud558\uc154\uc57c \ud569\ub2c8\ub2e4</strong>.</p>\n<p>(Translated with ChatGPT)</p>\n<p>The trigger word is <code>mitsuki_kanzaki_imocho</code>, and the recommended tags are <code>best quality, masterpiece, highres, solo, {mitsuki_kanzaki_imocho:1.15}, black_hair, long_hair, bangs, purple_eyes</code>.</p>\n<h2>How This Model Is Trained</h2>\n<p>This model is trained with <a href=\"https://github.com/7eu7d7/HCP-Diffusion\" rel=\"ugc\">HCP-Diffusion</a>. \nAnd the auto-training framework is maintained by <a href=\"https://huggingface.co/deepghs\" rel=\"ugc\">DeepGHS Team</a>.</p>\n<h2>Why Some Preview Images Not Look Like Mitsuki Kanzaki Imocho</h2>\n<p><strong>All the prompt texts</strong> used on the preview images (which can be viewed by clicking on the images) \n<strong>are automatically generated using clustering algorithms</strong> based on feature information extracted from the \ntraining dataset. The seed used during image generation is also randomly generated, and the images have \nnot undergone any selection or modification. As a result, there is a possibility of the mentioned \nissues occurring.</p>\n<p>In practice, based on our internal testing, most models that experience such issues perform better in \nactual usage than what is seen in the preview images. <strong>The only thing you may need to do is adjusting \nthe tags you are using</strong>.</p>\n<h2>I Felt This Model May Be Overfitting or Underfitting, What Shall I Do</h2>\n<p>Our model has been published on <a href=\"https://huggingface.co/CyberHarem/mitsuki_kanzaki_imocho\" rel=\"ugc\">huggingface repository - CyberHarem/mitsuki_kanzaki_imocho</a>, where\nmodels of all the steps are saved. Also, we published the training dataset on \n<a href=\"https://huggingface.co/datasets/CyberHarem/mitsuki_kanzaki_imocho\" rel=\"ugc\">huggingface dataset - CyberHarem/mitsuki_kanzaki_imocho</a>, which may be helpful to you.</p>\n<h2>Why Not Just Using The Better-Selected Images</h2>\n<p>Our model's entire process, from data crawling, training, to generating preview images and publishing, \nis <strong>100% automated without any human intervention</strong>. It's an interesting experiment conducted by our team, \nand for this purpose, we have developed a complete set of software infrastructure, including data filtering, \nautomatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or \nsuggestions as they are highly valuable to us.</p>\n<h2>Why Can't the Desired Character Outfits Be Accurately Generated</h2>\n<p>Our current training data is sourced from various image websites, and for a fully automated pipeline, \nit's challenging to accurately predict which official images a character possesses. \nConsequently, outfit generation relies on clustering based on labels from the training dataset \nin an attempt to achieve the best possible recreation. We will continue to address this issue and attempt \noptimization, but it remains a challenge that cannot be completely resolved. The accuracy of outfit \nrecreation is also unlikely to match the level achieved by manually trained models.</p>\n<p>In fact, this model's greatest strengths lie in recreating the inherent characteristics of the characters \nthemselves and its relatively strong generalization capabilities, owing to its larger dataset. \nAs such, <strong>this model is well-suited for tasks such as changing outfits, posing characters, and, \nof course, generating NSFW images of characters!</strong>\ud83d\ude09\".</p>\n<p>For the following groups, it is not recommended to use this model and we express regret:</p>\n<ol>\n<li>Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.</li>\n<li>Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.</li>\n<li>Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.</li>\n<li>Individuals who are not comfortable with the fully automated process of training character models using LoRA, or those who believe that training character models must be done purely through manual operations to avoid disrespecting the characters.</li>\n<li>Individuals who finds the generated image content offensive to their values.</li>\n</ol>",
+        "description": "<!--\n* Due to Civitai's TOS, some images cannot be uploaded. THE FULL PREVIEW IMAGES CAN BE FOUND ON HUGGINGFACE.\n* For models version v1.5.1 or v2.0+, you can simply use them on webui like other LoRAs, they are trained on kohya script.\n* For models version v1.5 or v1.4-, you have to use both 2 files to run it. see \"How to use Pivotal Tuned models\" in description for details.\n* The pruned character tags are black hair, long hair, purple eyes, blunt bangs. You can add them into prompts when core features (e.g. hair color) of character is not so stable.\n* Recommended weight of pt file is 0.7-1.1, weight of LoRA is 0.5-0.85. \n* Images were generated using some fixed prompts and dataset-based clustered prompts. Random seeds were used, ruling out cherry-picking. What you see here is what you can get.\n* No specialized training was done for outfits. You can check our provided preview post to get the prompts corresponding to the outfits.\n* This model is trained with 741 images.\n* Training configuration file is here.\n* The step we auto-selected is 17028 to balance the fidelity and controllability of the model.\nHere is the overview of all the steps. You can try the other recommended steps in\nhuggingface repository - CyberHarem/mitsuki_kanzaki_imocho.\n\n\n\n\n\n\nHow to Use This Model\n\nThis part is only for model version v1.5.1 or v2.0+.\n\n\n\nYou can simply use it like other LoRAs. We trained this model with kohya scripts.\n\n\n\n\u4ed6\u306eLoRA\u3068\u540c\u69d8\u306b\u7c21\u5358\u306b\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002\u3053\u306e\u30e2\u30c7\u30eb\u306fkohya\u30b9\u30af\u30ea\u30d7\u30c8\u3067\u8a13\u7df4\u3055\u308c\u307e\u3057\u305f\u3002\n\n\n\n\ub2e4\ub978 LoRA\ucc98\ub7fc \uac04\ub2e8\ud788 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc6b0\ub9ac\ub294 \uc774 \ubaa8\ub378\uc744 kohya \uc2a4\ud06c\ub9bd\ud2b8\ub85c \ud6c8\ub828\ud588\uc2b5\ub2c8\ub2e4.\n\n\n\n\u60a8\u53ef\u4ee5\u50cf\u5176\u4ed6LoRAs\u4e00\u6837\u7b80\u5355\u5730\u4f7f\u7528\u5b83\u3002\u6211\u4eec\u4f7f\u7528kohya\u811a\u672c\u5bf9\u8be5\u6a21\u578b\u8fdb\u884c\u4e86\u8bad\u7ec3\u3002\n\n\n\n(Translated with ChatGPT)\n\n\n\nIf you are looking for model waifus and or interested in our technology, \nyou can enter our discord server.\n\n\n\nHow This Model Is Trained\n\n\n* This model is trained with kohya-ss/sd-scripts,\nthe images are generated with a1111's webui \nand API sdk.\n* The auto-training framework is maintained by \nDeepGHS Team.\n* Dataset used for training is the `stage3-p480-1200` in \nCyberHarem/mitsuki_kanzaki_imocho,\nwhich contains 741 images.\n* The step we auto-selected is 17028 to balance the fidelity and controllability of the model.\n* Training configuration file is here.\n\n\nFor more training details and recommended steps, take a look at \nhuggingface repository - CyberHarem/mitsuki_kanzaki_imocho.\n\n\n\nHow to Use Pivotal Tuned Models\n\nThis part is only for model version v1.5 or v1.4-.\n\n\n\nTHIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER IF YOU ARE USING WEBUI v1.6 OR LOWER VERSION!!!. \nIn this case, you need to download both `mitsuki_kanzaki_imocho.pt` and `mitsuki_kanzaki_imocho.safetensors`, \nthen put `mitsuki_kanzaki_imocho.pt` to the embeddings folder, and use `mitsuki_kanzaki_imocho.safetensors` as LoRA at the same time.\nIf you are using webui v1.7+, just use the safetensors file like the common LoRAs.\nThis is because the embedding-bundled LoRA/Lycoris model are now officially supported by a1111's webui, \nsee here for more details.\n\n\n\n\u3053\u306e\u30e2\u30c7\u30eb\u306b\u306f2\u3064\u306e\u30d5\u30a1\u30a4\u30eb\u304c\u3042\u308a\u307e\u3059\u3002WebUI v1.6 \u4ee5\u4e0b\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u5834\u5408\u306f\u3001\u3053\u308c\u3089\u3092\u4e00\u7dd2\u306b\u4f7f\u7528\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\uff01\uff01\uff01\n\u3053\u306e\u5834\u5408\u3001`mitsuki_kanzaki_imocho.pt` \u3068 `mitsuki_kanzaki_imocho.safetensors` \u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u3001\n\u305d\u306e\u5f8c\u3001`mitsuki_kanzaki_imocho.pt` \u3092 `embeddings` \u30d5\u30a9\u30eb\u30c0\u306b\u5165\u308c\u3001\u540c\u6642\u306b `mitsuki_kanzaki_imocho.safetensors` \u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u307e\u3059\u3002\nwebui v1.7+\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u5834\u5408\u3001\u4e00\u822c\u7684\u306aLoRAs\u306e\u3088\u3046\u306bsafetensors\u30d5\u30a1\u30a4\u30eb\u3092\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002\n\u3053\u308c\u306f\u3001\u57cb\u3081\u8fbc\u307f\u30d0\u30f3\u30c9\u30eb\u3055\u308c\u305fLoRA/Lycoris\u30e2\u30c7\u30eb\u304c\u73fe\u5728\u3001a1111\u306ewebui\u306b\u516c\u5f0f\u306b\u30b5\u30dd\u30fc\u30c8\u3055\u308c\u3066\u3044\u308b\u305f\u3081\u3067\u3059\u3002\n\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3053\u3061\u3089\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002\n\n\n\n\u6b64\u6a21\u578b\u5305\u542b\u4e24\u4e2a\u6587\u4ef6\u3002\u5982\u679c\u60a8\u4f7f\u7528\u7684\u662f WebUI v1.6 \u6216\u66f4\u4f4e\u7248\u672c\uff0c\u60a8\u9700\u8981\u540c\u65f6\u4f7f\u7528\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff01\n\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u9700\u8981\u4e0b\u8f7d `mitsuki_kanzaki_imocho.pt` \u548c `mitsuki_kanzaki_imocho.safetensors` \u4e24\u4e2a\u6587\u4ef6\uff0c\n\u7136\u540e\u5c06 `mitsuki_kanzaki_imocho.pt` \u653e\u5165 `embeddings` \u6587\u4ef6\u5939\u4e2d\uff0c\u5e76\u540c\u65f6\u4f7f\u7528 `mitsuki_kanzaki_imocho.safetensors` \u4f5c\u4e3a LoRA\u3002\n\u5982\u679c\u60a8\u6b63\u5728\u4f7f\u7528 webui v1.7 \u6216\u66f4\u9ad8\u7248\u672c\uff0c\u53ea\u9700\u50cf\u5e38\u89c4 LoRAs \u4e00\u6837\u4f7f\u7528 safetensors \u6587\u4ef6\u3002\n\u8fd9\u662f\u56e0\u4e3a\u5d4c\u5165\u5f0f LoRA/Lycoris \u6a21\u578b\u73b0\u5728\u5df2\u7ecf\u5f97\u5230 a1111's webui \u7684\u5b98\u65b9\u652f\u6301\uff0c\n\u66f4\u591a\u8be6\u60c5\u8bf7\u53c2\u89c1\u8fd9\u91cc\u3002\n\n\n\n(Translated with ChatGPT)\n\n\n\nThe trigger word is `mitsuki_kanzaki_imocho`, and the pruned tags are `black_hair, long_hair, purple_eyes, blunt_bangs`.\nWhen some features (e.g. hair color) are not so stable at some times, \nyou can add these them into your prompt.\n\n\n\nWhy Some Preview Images Not Look Like Her\n\nAll the prompt texts used on the preview images (which can be viewed by clicking on the images) \nare automatically generated using clustering algorithms based on feature information extracted from the \ntraining dataset. The seed used during image generation is also randomly generated, and the images have \nnot undergone any selection or modification. As a result, there is a possibility of the mentioned \nissues occurring.\n\n\n\nIn practice, based on our internal testing, most models that experience such issues perform better in \nactual usage than what is seen in the preview images. The only thing you may need to do is adjusting \nthe tags you are using.\n\n\n\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do\n\nThe step you see here is auto-selected. We also recommend other good steps for you to try.\nClick here to select your favourite step.\n\n\n\nOur model has been published on \nhuggingface repository - CyberHarem/mitsuki_kanzaki_imocho, \nwhere models of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/mitsuki_kanzaki_imocho, \nwhich may be helpful to you.\n\n\n\nWhy Not Just Using The Better-Selected Images\n\nOur model's entire process, from data crawling, training, to generating preview images and publishing, \nis 100% automated without any human intervention. It's an interesting experiment conducted by our team, \nand for this purpose, we have developed a complete set of software infrastructure, including data filtering, \nautomatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or \nsuggestions as they are highly valuable to us.\n\n\n\nWhy Can't the Desired Character Outfits Be Accurately Generated\n\nOur current training data is sourced from various image websites, and for a fully automated pipeline, \nit's challenging to accurately predict which official images a character possesses. \nConsequently, outfit generation relies on clustering based on labels from the training dataset \nin an attempt to achieve the best possible recreation. We will continue to address this issue and attempt \noptimization, but it remains a challenge that cannot be completely resolved. The accuracy of outfit \nrecreation is also unlikely to match the level achieved by manually trained models.\n\n\n\nIn fact, this model's greatest strengths lie in recreating the inherent characteristics of the characters \nthemselves and its relatively strong generalization capabilities, owing to its larger dataset. \nAs such, this model is well-suited for tasks such as changing outfits, posing characters, and, \nof course, generating NSFW images of characters!\ud83d\ude09\".\n\n\n\nFor the following groups, it is not recommended to use this model and we express regret:\n\n\n\n\n* Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.\n* Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.\n* Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.\n* Individuals who are not comfortable with the fully automated process of training character models using LoRA, or those who believe that training character models must be done purely through manual operations to avoid disrespecting the characters.\n* Individuals who finds the generated image content offensive to their values.\n-->",
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-            "female",
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-            "game character",
             "long hair",
             "purple eyes",
-            "girl\uff0c",
-            "fully automated",
-            "imocho",
-            "imocho mitsuki kanzaki"
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+            "recently",
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+                "prompt": "(safe:1.10), best quality, masterpiece, highres, solo, (mitsuki_kanzaki_imocho:1.10), jumping, cowboy shot, looking at viewer, anime_style, 37 <lora:mitsuki_kanzaki_imocho:0.80>",
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                         "hash": "54ef3e3610",
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+                "ADetailer model": "face_yolov8n.pt",
+                "ADetailer prompt": "best eyes, [PROMPT], purple eyes, beautiful eyes, extremely detailed eyes, shiny eyes, lively eyes, livid eyes",
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-                        "name": "Meina/MeinaMix_V11",
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-                "negativePrompt": "nsfw, sexy, underwear, bra, fishnet, skin of legs, bare legs, bare skin, navel, {worst quality, low quality:1.40}, {zombie, sketch, interlocked fingers, comic:1.10}, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, white border"
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+                "Hires upscaler": "R-ESRGAN 4x+ Anime6B",
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+                "ADetailer model": "face_yolov8n.pt",
+                "ADetailer prompt": "best eyes, [PROMPT], purple eyes, beautiful eyes, extremely detailed eyes, shiny eyes, lively eyes, livid eyes",
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 }

A-表番角色/最近，妹妹的样子有点怪？/mitsuki_kanzaki_imocho.safetensors

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A-表番角色/最近，妹妹的样子有点怪？/yukina_kiritani_imocho.civitai.info

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 {
-    "id": 151516,
+    "id": 425618,
     "modelId": 137304,
-    "name": "v1.4",
-    "createdAt": "2023-08-30T03:53:20.159Z",
-    "updatedAt": "2023-08-30T03:55:53.096Z",
+    "name": "v1.5.1",
+    "createdAt": "2024-04-03T05:46:07.505Z",
+    "updatedAt": "2024-04-03T05:47:30.678Z",
+    "status": "Published",
+    "publishedAt": "2024-04-03T05:47:30.675Z",
     "trainedWords": [
         "yukina_kiritani_imocho",
-        "ponytail, brown_hair, long_hair, hair_ribbon, ribbon, red_ribbon, red_eyes"
+        "anime_style"
     ],
     "trainingStatus": null,
     "trainingDetails": null,
     "baseModel": "SD 1.5",
     "baseModelType": null,
     "earlyAccessTimeFrame": 0,
-    "description": "",
+    "description": "<!--\nModel yukina_kiritani_imocho version v1.5.1\n-->",
     "stats": {
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     },
     "model": {
-        "name": "Yukina Kiritani (Recently, My Sister Is Unusual)",
+        "name": "Yukina Kiritani/\u6850\u8c37\u96ea\u90a3 (Recently, My Sister Is Unusual)",
         "type": "LORA",
         "nsfw": false,
         "poi": false,
-        "description": "<ul>\n<li><strong><span style=\"color:#fa5252\">THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!</span></strong></li>\n<li><strong>The associated trigger words are only for reference, it may need to be adjusted at some times</strong>.</li>\n<li>The recommended weight for the embedding model is 1, which provides higher fidelity; if greater generalization is required, it can be lowered to 0.5. </li>\n<li>The recommended weight for the LoRA model is 0.85; if there's evidence of contamination, consider lowering it to 0.6.</li>\n</ul>\n<h2>How to Use This Model</h2>\n<p><strong><span style=\"color:#fa5252\">THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!</span></strong>. \nIn this case, you need to download both <code>yukina_kiritani_imocho.pt</code> and \n<code>yukina_kiritani_imocho.safetensors</code>, then <strong>use <code>yukina_kiritani_imocho.pt</code> as texture inversion embedding, and use\n<code>yukina_kiritani_imocho.safetensors</code> as LoRA at the same time</strong>.</p>\n<p><strong><span style=\"color:#fa5252\">\u3053\u306e\u30e2\u30c7\u30eb\u306b\u306f2\u3064\u306e\u30d5\u30a1\u30a4\u30eb\u304c\u3042\u308a\u307e\u3059\u3002\u4e00\u7dd2\u306b\u4f7f\u3046\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\uff01\uff01\uff01</span></strong>\u3002\n\u3053\u306e\u5834\u5408\u3001<code>yukina_kiritani_imocho.pt</code>\u3068<code>yukina_kiritani_imocho.safetensors</code>\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<code>yukina_kiritani_imocho.pt</code>\u3092\u30c6\u30af\u30b9\u30c1\u30e3\u53cd\u8ee2\u57cb\u3081\u8fbc\u307f\u3068\u3057\u3066\u4f7f\u7528\u3057\u3001\u540c\u6642\u306b<code>yukina_kiritani_imocho.safetensors</code>\u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002</p>\n<p><strong><span style=\"color:#fa5252\">\u8fd9\u4e2a\u6a21\u578b\u6709\u4e24\u4e2a\u6587\u4ef6\u3002\u4f60\u9700\u8981\u540c\u65f6\u4f7f\u7528\u5b83\u4eec\uff01\uff01\uff01</span></strong>\u3002\n\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u9700\u8981\u4e0b\u8f7d<code>yukina_kiritani_imocho.pt</code>\u548c<code>yukina_kiritani_imocho.safetensors</code>\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06<code>yukina_kiritani_imocho.pt</code>\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528<code>yukina_kiritani_imocho.safetensors</code>\u4f5c\u4e3aLoRA\u3002</p>\n<p><strong><span style=\"color:#fa5252\">\uc774 \ubaa8\ub378\uc740 \ub450 \uac1c\uc758 \ud30c\uc77c\uc774 \uc788\uc2b5\ub2c8\ub2e4. \ub450 \ud30c\uc77c\uc744 \ud568\uaed8 \uc0ac\uc6a9\ud574\uc57c \ud569\ub2c8\ub2e4!!!</span></strong>. \n\uc774 \uacbd\uc6b0\uc5d0\ub294 <code>yukina_kiritani_imocho.pt</code>\uc640 <code>yukina_kiritani_imocho.safetensors</code> \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 <strong><code>yukina_kiritani_imocho.pt</code>\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 <code>yukina_kiritani_imocho.safetensors</code>\uc744 LoRA\ub85c \uc0ac\uc6a9\ud558\uc154\uc57c \ud569\ub2c8\ub2e4</strong>.</p>\n<p>(Translated with ChatGPT)</p>\n<p>The trigger word is <code>yukina_kiritani_imocho</code>, and the recommended tags are <code>best quality, masterpiece, highres, solo, {yukina_kiritani_imocho:1.15}, ponytail, brown_hair, long_hair, hair_ribbon, ribbon, red_ribbon, red_eyes</code>.</p>\n<h2>How This Model Is Trained</h2>\n<p>This model is trained with <a href=\"https://github.com/7eu7d7/HCP-Diffusion\" rel=\"ugc\">HCP-Diffusion</a>. \nAnd the auto-training framework is maintained by <a href=\"https://huggingface.co/deepghs\" rel=\"ugc\">DeepGHS Team</a>.</p>\n<h2>Why Some Preview Images Not Look Like Yukina Kiritani Imocho</h2>\n<p><strong>All the prompt texts</strong> used on the preview images (which can be viewed by clicking on the images) \n<strong>are automatically generated using clustering algorithms</strong> based on feature information extracted from the \ntraining dataset. The seed used during image generation is also randomly generated, and the images have \nnot undergone any selection or modification. As a result, there is a possibility of the mentioned \nissues occurring.</p>\n<p>In practice, based on our internal testing, most models that experience such issues perform better in \nactual usage than what is seen in the preview images. <strong>The only thing you may need to do is adjusting \nthe tags you are using</strong>.</p>\n<h2>I Felt This Model May Be Overfitting or Underfitting, What Shall I Do</h2>\n<p>Our model has been published on <a href=\"https://huggingface.co/CyberHarem/yukina_kiritani_imocho\" rel=\"ugc\">huggingface repository - CyberHarem/yukina_kiritani_imocho</a>, where\nmodels of all the steps are saved. Also, we published the training dataset on \n<a href=\"https://huggingface.co/datasets/CyberHarem/yukina_kiritani_imocho\" rel=\"ugc\">huggingface dataset - CyberHarem/yukina_kiritani_imocho</a>, which may be helpful to you.</p>\n<h2>Why Not Just Using The Better-Selected Images</h2>\n<p>Our model's entire process, from data crawling, training, to generating preview images and publishing, \nis <strong>100% automated without any human intervention</strong>. It's an interesting experiment conducted by our team, \nand for this purpose, we have developed a complete set of software infrastructure, including data filtering, \nautomatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or \nsuggestions as they are highly valuable to us.</p>\n<h2>Why Can't the Desired Character Outfits Be Accurately Generated</h2>\n<p>Our current training data is sourced from various image websites, and for a fully automated pipeline, \nit's challenging to accurately predict which official images a character possesses. \nConsequently, outfit generation relies on clustering based on labels from the training dataset \nin an attempt to achieve the best possible recreation. We will continue to address this issue and attempt \noptimization, but it remains a challenge that cannot be completely resolved. The accuracy of outfit \nrecreation is also unlikely to match the level achieved by manually trained models.</p>\n<p>In fact, this model's greatest strengths lie in recreating the inherent characteristics of the characters \nthemselves and its relatively strong generalization capabilities, owing to its larger dataset. \nAs such, <strong>this model is well-suited for tasks such as changing outfits, posing characters, and, \nof course, generating NSFW images of characters!</strong>\ud83d\ude09\".</p>\n<p>For the following groups, it is not recommended to use this model and we express regret:</p>\n<ol>\n<li>Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.</li>\n<li>Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.</li>\n<li>Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.</li>\n<li>Individuals who are not comfortable with the fully automated process of training character models using LoRA, or those who believe that training character models must be done purely through manual operations to avoid disrespecting the characters.</li>\n<li>Individuals who finds the generated image content offensive to their values.</li>\n</ol>",
+        "description": "<!--\n* Due to Civitai's TOS, some images cannot be uploaded. THE FULL PREVIEW IMAGES CAN BE FOUND ON HUGGINGFACE.\n* For models version v1.5.1 or v2.0+, you can simply use them on webui like other LoRAs, they are trained on kohya script.\n* For models version v1.5 or v1.4-, you have to use both 2 files to run it. see \"How to use Pivotal Tuned models\" in description for details.\n* The pruned character tags are brown hair, ponytail, long hair, ribbon, hair ribbon, red eyes. You can add them into prompts when core features (e.g. hair color) of character is not so stable.\n* Recommended weight of pt file is 0.7-1.1, weight of LoRA is 0.5-0.85. \n* Images were generated using some fixed prompts and dataset-based clustered prompts. Random seeds were used, ruling out cherry-picking. What you see here is what you can get.\n* No specialized training was done for outfits. You can check our provided preview post to get the prompts corresponding to the outfits.\n* This model is trained with 554 images.\n* Training configuration file is here.\n* The step we auto-selected is 20976 to balance the fidelity and controllability of the model.\nHere is the overview of all the steps. You can try the other recommended steps in\nhuggingface repository - CyberHarem/yukina_kiritani_imocho.\n\n\n\n\n\n\nHow to Use This Model\n\nThis part is only for model version v1.5.1 or v2.0+.\n\n\n\nYou can simply use it like other LoRAs. We trained this model with kohya scripts.\n\n\n\n\u4ed6\u306eLoRA\u3068\u540c\u69d8\u306b\u7c21\u5358\u306b\u4f7f\u7528\u3067\u304d\u307e\u3059\u3002\u3053\u306e\u30e2\u30c7\u30eb\u306fkohya\u30b9\u30af\u30ea\u30d7\u30c8\u3067\u8a13\u7df4\u3055\u308c\u307e\u3057\u305f\u3002\n\n\n\n\ub2e4\ub978 LoRA\ucc98\ub7fc \uac04\ub2e8\ud788 \uc0ac\uc6a9\ud560 \uc218 \uc788\uc2b5\ub2c8\ub2e4. \uc6b0\ub9ac\ub294 \uc774 \ubaa8\ub378\uc744 kohya \uc2a4\ud06c\ub9bd\ud2b8\ub85c \ud6c8\ub828\ud588\uc2b5\ub2c8\ub2e4.\n\n\n\n\u60a8\u53ef\u4ee5\u50cf\u5176\u4ed6LoRAs\u4e00\u6837\u7b80\u5355\u5730\u4f7f\u7528\u5b83\u3002\u6211\u4eec\u4f7f\u7528kohya\u811a\u672c\u5bf9\u8be5\u6a21\u578b\u8fdb\u884c\u4e86\u8bad\u7ec3\u3002\n\n\n\n(Translated with ChatGPT)\n\n\n\nIf you are looking for model waifus and or interested in our technology, \nyou can enter our discord server.\n\n\n\nHow This Model Is Trained\n\n\n* This model is trained with kohya-ss/sd-scripts,\nthe images are generated with a1111's webui \nand API sdk.\n* The auto-training framework is maintained by \nDeepGHS Team.\n* Dataset used for training is the `stage3-p480-1200` in \nCyberHarem/yukina_kiritani_imocho,\nwhich contains 554 images.\n* The step we auto-selected is 20976 to balance the fidelity and controllability of the model.\n* Training configuration file is here.\n\n\nFor more training details and recommended steps, take a look at \nhuggingface repository - CyberHarem/yukina_kiritani_imocho.\n\n\n\nHow to Use Pivotal Tuned Models\n\nThis part is only for model version v1.5 or v1.4-.\n\n\n\nTHIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER IF YOU ARE USING WEBUI v1.6 OR LOWER VERSION!!!. \nIn this case, you need to download both `yukina_kiritani_imocho.pt` and `yukina_kiritani_imocho.safetensors`, \nthen put `yukina_kiritani_imocho.pt` to the embeddings folder, and use `yukina_kiritani_imocho.safetensors` as LoRA at the same time.\nIf you are using webui v1.7+, just use the safetensors file like the common LoRAs.\nThis is because the embedding-bundled LoRA/Lycoris model are now officially supported by a1111's webui, \nsee here for more details.\n\n\n\n\u3053\u306e\u30e2\u30c7\u30eb\u306b\u306f2\u3064\u306e\u30d5\u30a1\u30a4\u30eb\u304c\u3042\u308a\u307e\u3059\u3002WebUI v1.6 \u4ee5\u4e0b\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u5834\u5408\u306f\u3001\u3053\u308c\u3089\u3092\u4e00\u7dd2\u306b\u4f7f\u7528\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\uff01\uff01\uff01\n\u3053\u306e\u5834\u5408\u3001`yukina_kiritani_imocho.pt` \u3068 `yukina_kiritani_imocho.safetensors` \u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u3001\n\u305d\u306e\u5f8c\u3001`yukina_kiritani_imocho.pt` \u3092 `embeddings` \u30d5\u30a9\u30eb\u30c0\u306b\u5165\u308c\u3001\u540c\u6642\u306b `yukina_kiritani_imocho.safetensors` \u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u307e\u3059\u3002\nwebui v1.7+\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u5834\u5408\u3001\u4e00\u822c\u7684\u306aLoRAs\u306e\u3088\u3046\u306bsafetensors\u30d5\u30a1\u30a4\u30eb\u3092\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002\n\u3053\u308c\u306f\u3001\u57cb\u3081\u8fbc\u307f\u30d0\u30f3\u30c9\u30eb\u3055\u308c\u305fLoRA/Lycoris\u30e2\u30c7\u30eb\u304c\u73fe\u5728\u3001a1111\u306ewebui\u306b\u516c\u5f0f\u306b\u30b5\u30dd\u30fc\u30c8\u3055\u308c\u3066\u3044\u308b\u305f\u3081\u3067\u3059\u3002\n\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3053\u3061\u3089\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002\n\n\n\n\u6b64\u6a21\u578b\u5305\u542b\u4e24\u4e2a\u6587\u4ef6\u3002\u5982\u679c\u60a8\u4f7f\u7528\u7684\u662f WebUI v1.6 \u6216\u66f4\u4f4e\u7248\u672c\uff0c\u60a8\u9700\u8981\u540c\u65f6\u4f7f\u7528\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff01\n\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u9700\u8981\u4e0b\u8f7d `yukina_kiritani_imocho.pt` \u548c `yukina_kiritani_imocho.safetensors` \u4e24\u4e2a\u6587\u4ef6\uff0c\n\u7136\u540e\u5c06 `yukina_kiritani_imocho.pt` \u653e\u5165 `embeddings` \u6587\u4ef6\u5939\u4e2d\uff0c\u5e76\u540c\u65f6\u4f7f\u7528 `yukina_kiritani_imocho.safetensors` \u4f5c\u4e3a LoRA\u3002\n\u5982\u679c\u60a8\u6b63\u5728\u4f7f\u7528 webui v1.7 \u6216\u66f4\u9ad8\u7248\u672c\uff0c\u53ea\u9700\u50cf\u5e38\u89c4 LoRAs \u4e00\u6837\u4f7f\u7528 safetensors \u6587\u4ef6\u3002\n\u8fd9\u662f\u56e0\u4e3a\u5d4c\u5165\u5f0f LoRA/Lycoris \u6a21\u578b\u73b0\u5728\u5df2\u7ecf\u5f97\u5230 a1111's webui \u7684\u5b98\u65b9\u652f\u6301\uff0c\n\u66f4\u591a\u8be6\u60c5\u8bf7\u53c2\u89c1\u8fd9\u91cc\u3002\n\n\n\n(Translated with ChatGPT)\n\n\n\nThe trigger word is `yukina_kiritani_imocho`, and the pruned tags are `brown_hair, ponytail, long_hair, ribbon, hair_ribbon, red_eyes`.\nWhen some features (e.g. hair color) are not so stable at some times, \nyou can add these them into your prompt.\n\n\n\nWhy Some Preview Images Not Look Like Her\n\nAll the prompt texts used on the preview images (which can be viewed by clicking on the images) \nare automatically generated using clustering algorithms based on feature information extracted from the \ntraining dataset. The seed used during image generation is also randomly generated, and the images have \nnot undergone any selection or modification. As a result, there is a possibility of the mentioned \nissues occurring.\n\n\n\nIn practice, based on our internal testing, most models that experience such issues perform better in \nactual usage than what is seen in the preview images. The only thing you may need to do is adjusting \nthe tags you are using.\n\n\n\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do\n\nThe step you see here is auto-selected. We also recommend other good steps for you to try.\nClick here to select your favourite step.\n\n\n\nOur model has been published on \nhuggingface repository - CyberHarem/yukina_kiritani_imocho, \nwhere models of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/yukina_kiritani_imocho, \nwhich may be helpful to you.\n\n\n\nWhy Not Just Using The Better-Selected Images\n\nOur model's entire process, from data crawling, training, to generating preview images and publishing, \nis 100% automated without any human intervention. It's an interesting experiment conducted by our team, \nand for this purpose, we have developed a complete set of software infrastructure, including data filtering, \nautomatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or \nsuggestions as they are highly valuable to us.\n\n\n\nWhy Can't the Desired Character Outfits Be Accurately Generated\n\nOur current training data is sourced from various image websites, and for a fully automated pipeline, \nit's challenging to accurately predict which official images a character possesses. \nConsequently, outfit generation relies on clustering based on labels from the training dataset \nin an attempt to achieve the best possible recreation. We will continue to address this issue and attempt \noptimization, but it remains a challenge that cannot be completely resolved. The accuracy of outfit \nrecreation is also unlikely to match the level achieved by manually trained models.\n\n\n\nIn fact, this model's greatest strengths lie in recreating the inherent characteristics of the characters \nthemselves and its relatively strong generalization capabilities, owing to its larger dataset. \nAs such, this model is well-suited for tasks such as changing outfits, posing characters, and, \nof course, generating NSFW images of characters!\ud83d\ude09\".\n\n\n\nFor the following groups, it is not recommended to use this model and we express regret:\n\n\n\n\n* Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.\n* Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.\n* Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.\n* Individuals who are not comfortable with the fully automated process of training character models using LoRA, or those who believe that training character models must be done purely through manual operations to avoid disrespecting the characters.\n* Individuals who finds the generated image content offensive to their values.\n-->",
         "tags": [
             "character",
-            "female",
             "red eyes",
             "ponytail",
-            "game character",
             "long hair",
             "ribbon",
             "brown hair",
             "hair ribbon",
-            "girl\uff0c",
-            "fully automated",
-            "imocho",
-            "red ribbon",
-            "imocho yukina kiritani"
+            "my sister is unusual",
+            "recently",
+            "yukina kiritani",
+            "\u6850\u8c37\u96ea\u90a3"
         ],
         "allowNoCredit": true,
-        "allowCommercialUse": "Sell",
+        "allowCommercialUse": [
+            "Image",
+            "RentCivit",
+            "Rent"
+        ],
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         "allowDifferentLicense": true
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A-表番角色/转生成蜘蛛又怎样！/shiraori-10.safetensors

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A-表番角色/邻家的吸血鬼小妹/Elly (Tonari no Kyuuketsuki-san).civitai.info

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+    "status": "Published",
+    "publishedAt": "2024-04-03T10:43:17.529Z",
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+        "ellysuccubus"
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+        "description": "<!--\nElly (Tonari no kyuuketsuki-san) LoRA\n\n\n\nLoRA request queue on my discord: https://discord.gg/DAfjhRfyEM\n\n\n\nThis model was trained using 33 images of her. It was trained on the NAI model so it should work with most anime based models. \n\n\n\nRecommended weight is between 0.8 and 1.\n\n\n\nThe triggerwords are ellydef for her normal outfit and ellysuccubus for her succubus form. I suggest doing some additional outfit prompting for consistency. Examples can be seen in my preview images.\n\n\n\nExample images were generated using jafamix v4 with 30 steps, then hires. fixed by 1.5 with adetailer enabled for the faces\n\n\n\nNote: This was made exclusively on anime images and on an anime checkpoint. Feel free to post images on realistic, semirealistic etc. checkpoints, but do not rate it on that! This was made to be used on anime checkpoints so keep reviews for that!\n-->",
+        "tags": [
+            "anime",
+            "character",
+            "woman",
+            "girls",
+            "elly",
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A-表番角色/邻家的吸血鬼小妹/Elly (Tonari no Kyuuketsuki-san).safetensors

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A-表番角色/魔卡少女樱/daidouji_tomoyo_v1.civitai.info

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+    "status": "Published",
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+    "trainedWords": [
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