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C-游戏角色/碧蓝航线/Taihou-10.civitai.info

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+{
+    "id": 172419,
+    "modelId": 153924,
+    "name": "v1.0",
+    "createdAt": "2023-09-29T18:23:36.726Z",
+    "updatedAt": "2023-09-29T18:24:37.880Z",
+    "trainedWords": [
+        "taihou, long hair, hair between eyes, very long hair, ahoge, huge breasts, crossed bangs, twintails, ribbon, ",
+        "taihou, long hair, hair between eyes, very long hair, ahoge, huge breasts, crossed bangs, twintails, ribbon, thighhighs, hair ribbon, off shoulder, thighs, black thighhighs, kimono"
+    ],
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+    "model": {
+        "name": "Taihou (Azur Lane) LORA",
+        "type": "LORA",
+        "nsfw": false,
+        "poi": false,
+        "description": "<p><strong>Character LoRA for Taihou from Azur Lane series.</strong></p><p><strong>If you are interested in supporting my work, check out my </strong><a rel=\"ugc\" href=\"https://www.patreon.com/SetsuAI\"><strong>Patreon</strong></a><strong> for NSFW stuff.</strong></p><p>LoRA trained on 952 images</p><p><strong>Trigger Words:</strong></p><p>taihou, long hair, hair between eyes, very long hair, ahoge, huge breasts, bare shoulders, crossed bangs, collarbone, twintails, ribbon, thighhighs, hair ribbon, off shoulder, thighs, black thighhighs, kimono</p><p>Best weight: 0.7-1.0</p>",
+        "tags": [
+            "anime",
+            "character",
+            "female",
+            "game character",
+            "girls",
+            "lora"
+        ],
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+        "allowCommercialUse": "Image",
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+            "meta": {
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+}

C-游戏角色/碧蓝航线/Taihou-10.safetensors

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C-游戏角色/碧蓝航线/bremerton_oath.civitai.info

@@ -0,0 +1,428 @@
+{
+    "id": 173963,
+    "modelId": 155128,
+    "name": "v1.0",
+    "createdAt": "2023-10-01T20:47:49.309Z",
+    "updatedAt": "2023-10-01T21:11:13.426Z",
+    "trainedWords": [
+        "jelobremertonjrol, bridal veil, multicolored hair, wedding dress, white elbow gloves, red ribbon, hair flower, white thighhighs, high heels"
+    ],
+    "trainingStatus": null,
+    "trainingDetails": null,
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+        "downloadCount": 67,
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+    "model": {
+        "name": "Bremerton (Joyride of Love) (Azur Lane)",
+        "type": "LORA",
+        "nsfw": false,
+        "poi": false,
+        "description": "<h3 id=\"heading-218\">All hail Bremmy's new oath skin!</h3><p></p><p><strong><u><span style=\"color:rgb(255, 8, 8)\">Disclaimer:</span></u></strong><span style=\"color:rgb(255, 8, 8)\"> </span>The model was trained with <strong>10 images</strong> (5 of the costume + 5 nudes), however i tried to make it as flexible as possible, with a few tweaks in the prompt can work really well. Will update it when there's more content.</p><p>A LoRa representing the costume \"Joyride of Love\" of the character Bremerton (now my wife) in the game named Azur Lane.</p><p><span style=\"color:rgb(193, 194, 197)\">I'm </span><strong>open to requests</strong><span style=\"color:rgb(193, 194, 197)\">, contact me on Discord: Jelosus1 (or Jelosus1#7864) or in </span><a target=\"_blank\" rel=\"ugc\" href=\"https://forms.gle/QagC1XofQZa9rzST6\"><u>the form</u></a></p><p><span style=\"color:rgb(193, 194, 197)\">You can now check the status of the loras i've been requested </span><a target=\"_blank\" rel=\"ugc\" href=\"https://jelosus1.notion.site/f091f52d196f41c5a137827ad0724cf8?v=eb43063701e64e8e8bdf1f3b50fa1d94&amp;pvs=4\">here</a></p><p></p><h3 id=\"heading-947\">Details</h3><p><strong>Trigger: </strong>jelobremertonjrol, bridal veil, multicolored hair, wedding dress, white elbow gloves, red ribbon, hair flower, white thighhighs, high heels<br /><strong>Works on: </strong>0.6-1 (0.8-1 recommended for default outfit, can change clothes too)</p><p></p><p><span style=\"color:rgb(217, 92, 219)\">If you liked it please rate the model and do a post, I enjoy seeing other's creations, and follow me if you want to get notifications about upcoming models.</span></p>",
+        "tags": [
+            "anime",
+            "character",
+            "azur lane",
+            "woman",
+            "azurlane",
+            "bremerton",
+            "joyride of love"
+        ],
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+        "allowCommercialUse": "RentCivit",
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+                "\"bremerton_oath": "df53b9b280ad\"",
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+                "resources": [
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+                        "name": "bremerton_oath",
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+                        "hash": "4679331655",
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+                "Hires upscale": "2",
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+                "negativePrompt": "(worst quality:2, low quality:2),(interlocked fingers, badly drawn hands and fingers, anatomically incorrect hands),signature,",
+                "\"bremerton_oath": "df53b9b280ad\"",
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+                        "name": "enterprise_v1",
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C-游戏角色/碧蓝航线/enterprise_v1.safetensors

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C-游戏角色/碧蓝航线/hood_azurlane.civitai.info

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+{
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+    "modelId": 125815,
+    "name": "v1.4",
+    "createdAt": "2023-09-21T09:49:07.356Z",
+    "updatedAt": "2023-09-21T09:50:44.441Z",
+    "trainedWords": [
+        "hood_azurlane",
+        "blonde_hair, long_hair, blue_eyes, breasts, smile, jewelry, earrings, large_breasts, blush"
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+    "baseModel": "SD 1.5",
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+    "description": "\n",
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+        "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 0.5.</li>\n<li>The preview images were generated using a few fixed test prompts and several prompts derived from clustering dataset features. Random seeds were used, ruling out cherry-picking. <strong>What you see is what you get.</strong></li>\n<li>No specialized training was done for outfits. You can check our provided preview post to get the prompts corresponding to the outfits.</li>\n</ul>\n\n<h2>How to Use This Model</h2>\n\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>hood_azurlane.pt</code> and \n<code>hood_azurlane.safetensors</code>, then <strong>use <code>hood_azurlane.pt</code> as texture inversion embedding, and use\n<code>hood_azurlane.safetensors</code> as LoRA at the same time</strong>.</p>\n\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>hood_azurlane.pt</code>\u3068<code>hood_azurlane.safetensors</code>\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<code>hood_azurlane.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>hood_azurlane.safetensors</code>\u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002</p>\n\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>hood_azurlane.pt</code>\u548c<code>hood_azurlane.safetensors</code>\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06<code>hood_azurlane.pt</code>\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528<code>hood_azurlane.safetensors</code>\u4f5c\u4e3aLoRA\u3002</p>\n\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>hood_azurlane.pt</code>\uc640 <code>hood_azurlane.safetensors</code> \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 <strong><code>hood_azurlane.pt</code>\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 <code>hood_azurlane.safetensors</code>\uc744 LoRA\ub85c \uc0ac\uc6a9\ud558\uc154\uc57c \ud569\ub2c8\ub2e4</strong>.</p>\n\n<p>(Translated with ChatGPT)</p>\n\n<p>The trigger word is <code>hood_azurlane</code>, and the recommended tags are <code>best quality, masterpiece, highres, solo, {hood_azurlane:1.15}, blonde_hair, long_hair, blue_eyes, breasts, smile, jewelry, earrings, large_breasts, blush</code>.</p>\n\n<h2>How This Model Is Trained</h2>\n\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\n<h2>Why Some Preview Images Not Look Like Hood Azurlane</h2>\n\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\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\n<h2>I Felt This Model May Be Overfitting or Underfitting, What Shall I Do</h2>\n\n<p>Our model has been published on <a href=\"https://huggingface.co/CyberHarem/hood_azurlane\" rel=\"ugc\">huggingface repository - CyberHarem/hood<em>azurlane</em></a>, where\nmodels of all the steps are saved. Also, we published the training dataset on \n<a href=\"https://huggingface.co/datasets/CyberHarem/hood_azurlane\" rel=\"ugc\">huggingface dataset - CyberHarem/hoodazurlane</a>, which may be helpful to you.</p>\n\n<h2>Why Not Just Using The Better-Selected Images</h2>\n\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. 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The accuracy of outfit \nrecreation is also unlikely to match the level achieved by manually trained models.</p>\n\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\n<p>For the following groups, it is not recommended to use this model and we express regret:</p>\n\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>\n",
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C-游戏角色/碧蓝航线/hood_azurlane.safetensors

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C-游戏角色/碧蓝航线/illustrious-tea.civitai.info

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C-游戏角色/碧蓝航线/illustrious-tea.safetensors

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C-游戏角色/碧蓝航线/kisaragi_azurlane.civitai.info

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+    "modelId": 125790,
+    "name": "v1.4",
+    "createdAt": "2023-09-22T08:14:44.522Z",
+    "updatedAt": "2023-09-22T08:17:12.874Z",
+    "trainedWords": [
+        "kisaragi_azurlane",
+        "long_hair, animal_ears, cat_ears, pink_hair, ribbon, blush, pink_eyes, hat, animal_ear_fluff, bow, cat_tail, tail, school_hat, bangs, one_side_up, yellow_headwear, hair_between_eyes, hair_ribbon, purple_eyes, ears_through_headwear, very_long_hair"
+    ],
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+    "trainingDetails": null,
+    "baseModel": "SD 1.5",
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+    "earlyAccessTimeFrame": 0,
+    "description": "\n",
+    "stats": {
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+    "model": {
+        "name": "kisaragi/\u5982\u6708/\u5982\u6708 (Azur Lane)",
+        "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 0.5.</li>\n<li>The preview images were generated using a few fixed test prompts and several prompts derived from clustering dataset features. Random seeds were used, ruling out cherry-picking. <strong>What you see is what you get.</strong></li>\n<li>No specialized training was done for outfits. You can check our provided preview post to get the prompts corresponding to the outfits.</li>\n</ul>\n\n<h2>How to Use This Model</h2>\n\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>kisaragi_azurlane.pt</code> and \n<code>kisaragi_azurlane.safetensors</code>, then <strong>use <code>kisaragi_azurlane.pt</code> as texture inversion embedding, and use\n<code>kisaragi_azurlane.safetensors</code> as LoRA at the same time</strong>.</p>\n\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>kisaragi_azurlane.pt</code>\u3068<code>kisaragi_azurlane.safetensors</code>\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<code>kisaragi_azurlane.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>kisaragi_azurlane.safetensors</code>\u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002</p>\n\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>kisaragi_azurlane.pt</code>\u548c<code>kisaragi_azurlane.safetensors</code>\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06<code>kisaragi_azurlane.pt</code>\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528<code>kisaragi_azurlane.safetensors</code>\u4f5c\u4e3aLoRA\u3002</p>\n\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>kisaragi_azurlane.pt</code>\uc640 <code>kisaragi_azurlane.safetensors</code> \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 <strong><code>kisaragi_azurlane.pt</code>\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 <code>kisaragi_azurlane.safetensors</code>\uc744 LoRA\ub85c \uc0ac\uc6a9\ud558\uc154\uc57c \ud569\ub2c8\ub2e4</strong>.</p>\n\n<p>(Translated with ChatGPT)</p>\n\n<p>The trigger word is <code>kisaragi_azurlane</code>, and the recommended tags are <code>best quality, masterpiece, highres, solo, {kisaragi_azurlane:1.15}, long_hair, animal_ears, cat_ears, pink_hair, ribbon, blush, pink_eyes, hat, animal_ear_fluff, bow, cat_tail, tail, school_hat, bangs, one_side_up, yellow_headwear, hair_between_eyes, hair_ribbon, purple_eyes, ears_through_headwear, very_long_hair</code>.</p>\n\n<h2>How This Model Is Trained</h2>\n\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\n<h2>Why Some Preview Images Not Look Like Kisaragi Azurlane</h2>\n\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\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\n<h2>I Felt This Model May Be Overfitting or Underfitting, What Shall I Do</h2>\n\n<p>Our model has been published on <a href=\"https://huggingface.co/CyberHarem/kisaragi_azurlane\" rel=\"ugc\">huggingface repository - CyberHarem/kisaragi<em>azurlane</em></a>, where\nmodels of all the steps are saved. Also, we published the training dataset on \n<a href=\"https://huggingface.co/datasets/CyberHarem/kisaragi_azurlane\" rel=\"ugc\">huggingface dataset - CyberHarem/kisaragiazurlane</a>, which may be helpful to you.</p>\n\n<h2>Why Not Just Using The Better-Selected Images</h2>\n\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\n<h2>Why Can't the Desired Character Outfits Be Accurately Generated</h2>\n\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\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\n<p>For the following groups, it is not recommended to use this model and we express regret:</p>\n\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>\n",
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+}

C-游戏角色/碧蓝航线/kisaragi_azurlane.safetensors

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C-游戏角色/碧蓝航线/unicorn.civitai.info

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+    "updatedAt": "2023-03-27T17:19:18.149Z",
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+            "character",
+            "girl",
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+}

C-游戏角色/碧蓝航线/unicorn.safetensors

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