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A-表番角色/五等分的花嫁/Takebayashi_Go-Tobun-no-Hanayome-10.civitai.info

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+    "updatedAt": "2024-06-03T03:16:04.008Z",
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+    "publishedAt": "2024-05-21T18:34:01.232Z",
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+        "nsfw": false,
+        "poi": false,
+        "description": "<!--\nEste LoRA fue entrenado con un dataset de 20 im\u00e1genes, la version SD 1.5 se entreno con Anything ink base y la version XL con Pony Diffusion V6 (Por lo que solo Checkpoints que usen de base Pony funcionaran mejor con este LoRA)\n\n\n\nPara las im\u00e1genes en el modelo SD 1.5, se uso el modelo AnyLoraCleanLinearMix-ClearVAE y tambi\u00e9n se utilizo Hires.fix con lo siguiente:\n\n\n\n* 4x-AnimeSharp\n\n* Hire Step de 10\n\n* Denoising de 0.25\n\n* Hire Scale de 2\n\n\n\nMientras que para el modelo XL se uso el modelo Raemora XL 2.0 y tambi\u00e9n se utilizo Hires.fix con lo siguiente:\n\n\n\n* 4x-NMKD_YandereNeoXL\n\n* Hire Step de 15\n\n* Denoising de 0.3\n\n* Hire Scale de 2\n\n\n\nPeso recomendado: 0.7 - 0.5\n\n\n\nTambien puedes utilizar mis LoRAs en TensorArt\n-->",
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+            "the quintessential quintuplets",
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+            "takebayashi (go-tobun no hanayome)"
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A-表番角色/五等分的花嫁/Takebayashi_Go-Tobun-no-Hanayome-10.safetensors

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A-表番角色/五等分的花嫁/ichikanakano-lora-nochekaiser.civitai.info

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A-表番角色/五等分的花嫁/ichikanakanospecial-lora-nochekaiser.civitai.info

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+        "username": "nochekaiser881",
+        "image": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/7156f5e6-be81-4bbd-a87a-6934daa4673f/width=96/nochekaiser881.jpeg"
+    },
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 }

A-表番角色/五等分的花嫁/itsukinakano-lora-nochekaiser.civitai.info

@@ -1,612 +1,612 @@
-{
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-    "name": "v2.0",
-    "createdAt": "2023-09-28T01:46:34.233Z",
-    "updatedAt": "2024-03-06T05:02:46.797Z",
-    "status": "Published",
-    "publishedAt": "2023-09-28T02:01:00.000Z",
-    "trainedWords": [
-        "itsuki nakano, bangs, blue eyes, hair between eyes, ahoge, red hair, star \\(symbol\\), hair ornament, star hair ornament,",
-        "skirt, shirt, school uniform, collarbone, white shirt, short sleeves, pleated skirt, socks, collared shirt, miniskirt, kneehighs, white socks, green skirt, sweater vest, red sweater vest,",
-        "gloves, dress, cleavage, bare shoulders, collarbone, elbow gloves, white gloves, white dress, strapless, tiara, veil, strapless dress, wedding dress, bridal veil,"
-    ],
-    "trainingStatus": null,
-    "trainingDetails": null,
-    "baseModel": "SD 1.5",
-    "baseModelType": null,
-    "earlyAccessTimeFrame": 0,
-    "description": null,
-    "stats": {
-        "downloadCount": 727,
-        "ratingCount": 32,
-        "rating": 5,
-        "thumbsUpCount": 43
-    },
-    "model": {
-        "name": "Itsuki Nakano (\u4e2d\u91ce \u4e94\u6708) - The Quintessential Quintuplets (Gotoubun no Hanayome) (\u4e94\u7b49\u5206\u306e\u82b1\u5ac1)",
-        "type": "LORA",
-        "nsfw": false,
-        "poi": false,
-        "description": "<!--\nSupport me on\n\nfacebook.com/Kaiseir\n\npatreon.com/Serkai\n\nhttps://ko-fi.com/kaiseir\n\nItsuki Nakano from The Quintessential Quintuplets\n\nWeight: 1.0\n\nTrigger words:\n\nAppearance: itsuki nakano, bangs, blue eyes, hair between eyes, ahoge, red hair, star \\(symbol\\), hair ornament, star hair ornament,\n\nOutfit:\n\nSchool Uniform: skirt, shirt, school uniform, collarbone, white shirt, short sleeves, pleated skirt, socks, collared shirt, miniskirt, kneehighs, white socks, green skirt, sweater vest, red sweater vest,\n\nWedding: gloves, dress, cleavage, bare shoulders, collarbone, elbow gloves, white gloves, white dress, strapless, tiara, veil, strapless dress, wedding dress, bridal veil,\n-->",
-        "tags": [
-            "anime",
-            "character",
-            "female",
-            "the quintessential quintuplets",
-            "woman",
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A-表番角色/五等分的花嫁/itsukinakanospecial-lora-nochekaiser.civitai.info

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A-表番角色/五等分的花嫁/mikunakano-lora-nochekaiser.civitai.info

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 }

A-表番角色/五等分的花嫁/mikunakanospecial-lora-nochekaiser.civitai.info

@@ -1,514 +1,514 @@
-{
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-    "modelId": 98821,
-    "name": "special ep",
-    "createdAt": "2023-11-06T07:51:30.619Z",
-    "updatedAt": "2024-03-06T05:08:53.876Z",
-    "status": "Published",
-    "publishedAt": "2023-11-06T08:03:30.809Z",
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A-表番角色/五等分的花嫁/nakano_ichika-10.civitai.info

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+                "clipSkip": 2,
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+                    {
+                        "name": "nakano_ichika",
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+                    },
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+                        "hash": "709bb14616",
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+                "DDetailer conf a": "30",
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+                "Denoising strength": "0.4",
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+                "DDetailer inpaint padding": "4"
+            }
+        }
+    ],
+    "downloadUrl": "https://civitai.com/api/download/models/182647"
 }

A-表番角色/五等分的花嫁/nakano_itsuki-10.civitai.info

@@ -1,199 +1,199 @@
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+{
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+        "poi": false
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+            "scannedAt": "2023-10-14T21:31:21.894Z",
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+            "height": 1536,
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+                "steps": 30,
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+                "Version": "v1.6.0",
+                "sampler": "Euler",
+                "VAE hash": "df3c506e51",
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+                "clipSkip": 2,
+                "resources": [
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+                        "name": "nakano_itsuki",
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+                        "hash": "709bb14616",
+                        "name": "SetsuMix_v12",
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+                "DDetailer cfg": "7",
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+                "\"nakano_itsuki": "32eb3ded10a6\"",
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+                "DDetailer conf a": "30",
+                "DDetailer conf b": "30",
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+                "DDetailer inpaint padding": "4"
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+    "downloadUrl": "https://civitai.com/api/download/models/182656"
 }

A-表番角色/五等分的花嫁/nakano_miku-10.civitai.info

@@ -1,199 +1,199 @@
-{
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A-表番角色/五等分的花嫁/nakano_nino-10.civitai.info

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A-表番角色/五等分的花嫁/nakano_yotsuba-10.civitai.info

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+                "size": 1870856,
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+            },
+            "meta": {
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+                "Size": "512x768",
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+                "Model": "SetsuMix_v12",
+                "steps": 30,
+                "Script": "Detection Detailer",
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+                "prompt": "masterpiece, best quality, ultra-detailed, glowing light, (detailed background, complex background:1.2), (perfect face, detailed face), (mature female, milf:1.4), open mouth, thick thighs, full-face blush, happy, smile, \n<lora:nakano_yotsuba:0.8> nakano_yotsuba, ribbon, hair ribbon, hair between eyes, green ribbon, shirt, eyebrows hidden by hair, medium breasts, white shirt, long sleeves, collarbone, short hair, collared shirt, bow\n(garden, outdoors, thighs, skirt, sitting)",
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+                "sampler": "Euler",
+                "VAE hash": "df3c506e51",
+                "cfgScale": 8,
+                "clipSkip": 2,
+                "resources": [
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+                        "name": "nakano_yotsuba",
+                        "type": "lora",
+                        "weight": 0.8
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+                        "name": "SetsuMix_v12",
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+                "DDetailer cfg": "7",
+                "Hires upscale": "2",
+                "Hires upscaler": "R-ESRGAN 4x+ Anime6B",
+                "negativePrompt": "extra fingers, fewer fingers, bad-hands-5, by bad-artist, (bad eyes:1.2), (misfigured pupils:1.2), (bad clothing:1.3), (undetailed clothing:1.3), ng_deepnegative_v1_75t, verybadimagenegative_v1.3, (nonsensical backrounds:1.2), (bad backrounds:1.2), (bad shadows:1.2), (bad anatomy:1.3), (loli, child:1.3), (((out of frame))), (multiple views:1.4), (3d nose, real nose:1.4),",
+                "\"nakano_yotsuba": "867be1e02749\"",
+                "DDetailer conf a": "30",
+                "DDetailer conf b": "30",
+                "DDetailer bitwise": "None",
+                "DDetailer model a": "bbox/mmdet_anime-face_yolov3.pth [51e1af4a]",
+                "DDetailer model b": "None",
+                "Denoising strength": "0.4",
+                "DDetailer denoising": "0.4",
+                "DDetailer mask blur": "4",
+                "DDetailer dilation a": "25",
+                "DDetailer dilation b": "4",
+                "DDetailer offset x a": "0",
+                "DDetailer offset x b": "0",
+                "DDetailer offset y a": "0",
+                "DDetailer offset y b": "0",
+                "DDetailer inpaint full": "True",
+                "DDetailer preprocess b": "False",
+                "DDetailer inpaint padding": "4"
+            }
+        }
+    ],
+    "downloadUrl": "https://civitai.com/api/download/models/182640"
 }

A-表番角色/五等分的花嫁/ninonakano-lora-nochekaiser.civitai.info

@@ -1,615 +1,615 @@
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-            "character",
-            "female",
-            "the quintessential quintuplets",
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A-表番角色/五等分的花嫁/ninonakanospecial-lora-nochekaiser.civitai.info

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A-表番角色/五等分的花嫁/raiha uesugi s2-lora-nochekaiser.civitai.info

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A-表番角色/五等分的花嫁/yotsubanakano-lora-nochekaiser.civitai.info

@@ -1,676 +1,676 @@
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A-表番角色/五等分的花嫁/yotsubanakanospecial-lora-nochekaiser.civitai.info

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 }

A-表番角色/天使降临到我身边！/Hana Shirosaki(wtm).civitai.info

@@ -0,0 +1,290 @@
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+        "anime coloring",
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+        "female child",
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A-表番角色/天使降临到我身边！/Hana Shirosaki(wtm).safetensors

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 }

A-表番角色/转生公主与天才千金的魔法革命/anisphia_no_outfit.civitai.info

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A-表番角色/转生公主与天才千金的魔法革命/anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.civitai.info

@@ -1,417 +1,417 @@
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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 0.5.</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>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.pt</code> and \n<code>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.safetensors</code>, then <strong>use <code>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.pt</code> as texture inversion embedding, and use\n<code>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.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>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.pt</code>\u3068<code>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.safetensors</code>\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<code>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.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>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.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>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.pt</code>\u548c<code>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.safetensors</code>\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06<code>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.pt</code>\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528<code>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.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>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.pt</code>\uc640 <code>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.safetensors</code> \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 <strong><code>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.pt</code>\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 <code>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.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>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei</code>, and the recommended tags are <code>best quality, masterpiece, highres, solo, {anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei:1.15}, blonde_hair, green_eyes, bangs, short_hair, ribbon, hair_ribbon, ahoge, hair_between_eyes, smile, black_ribbon, blurry</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 Anisphia Wynn Palettia Tenseioujototensaireijounomahoukakumei</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/anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei\" rel=\"ugc\">huggingface repository - CyberHarem/anisphia<em>wynn</em>palettia<em>tenseioujototensaireijounomahoukakumei</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/anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei\" rel=\"ugc\">huggingface dataset - CyberHarem/anisphiawynn<em>palettia</em>tenseioujototensaireijounomahoukakumei</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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-                "prompt": "best quality, masterpiece, highres, solo, {maid:1.40}, {long maid dress:1.15}, {anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei:1.15}, blonde_hair, green_eyes, bangs, short_hair, ribbon, hair_ribbon, ahoge, hair_between_eyes, smile, black_ribbon, blurry",
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-                "steps": 30,
-                "hashes": {
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-                "negativePrompt": "{worst quality, low quality:1.40}, {zombie, sketch, interlocked fingers, comic:1.10}, {full body: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, {english text, chinese text:1.05}"
-            }
-        }
-    ],
-    "downloadUrl": "https://civitai.com/api/download/models/165912"
+{
+    "id": 165912,
+    "modelId": 148666,
+    "name": "v1.4",
+    "createdAt": "2023-09-20T08:39:14.984Z",
+    "updatedAt": "2023-09-20T08:40:30.639Z",
+    "trainedWords": [
+        "anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei",
+        "blonde_hair, green_eyes, bangs, short_hair, ribbon, hair_ribbon, ahoge, hair_between_eyes, smile, black_ribbon, blurry"
+    ],
+    "trainingStatus": null,
+    "trainingDetails": null,
+    "baseModel": "SD 1.5",
+    "baseModelType": null,
+    "earlyAccessTimeFrame": 0,
+    "description": "\n",
+    "stats": {
+        "downloadCount": 37,
+        "ratingCount": 0,
+        "rating": 0
+    },
+    "model": {
+        "name": "Anisphia Wynn Palettia (Tensei Oujo to Tensai Reijou no Mahou Kakumei)",
+        "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>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.pt</code> and \n<code>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.safetensors</code>, then <strong>use <code>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.pt</code> as texture inversion embedding, and use\n<code>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.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>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.pt</code>\u3068<code>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.safetensors</code>\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<code>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.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>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.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>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.pt</code>\u548c<code>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.safetensors</code>\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06<code>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.pt</code>\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528<code>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.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>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.pt</code>\uc640 <code>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.safetensors</code> \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 <strong><code>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.pt</code>\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 <code>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei.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>anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei</code>, and the recommended tags are <code>best quality, masterpiece, highres, solo, {anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei:1.15}, blonde_hair, green_eyes, bangs, short_hair, ribbon, hair_ribbon, ahoge, hair_between_eyes, smile, black_ribbon, blurry</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 Anisphia Wynn Palettia Tenseioujototensaireijounomahoukakumei</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/anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei\" rel=\"ugc\">huggingface repository - CyberHarem/anisphia<em>wynn</em>palettia<em>tenseioujototensaireijounomahoukakumei</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/anisphia_wynn_palettia_tenseioujototensaireijounomahoukakumei\" rel=\"ugc\">huggingface dataset - CyberHarem/anisphiawynn<em>palettia</em>tenseioujototensaireijounomahoukakumei</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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A-表番角色/转生公主与天才千金的魔法革命/euphyllia.civitai.info

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A-表番角色/转生公主与天才千金的魔法革命/euphyllia_magenta_tenseioujototensaireijounomahoukakumei.civitai.info

@@ -1,415 +1,415 @@
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-        "name": "Euphyllia Magenta (Tensei Oujo to Tensai Reijou no Mahou Kakumei)",
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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 0.5.</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>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.pt</code> and \n<code>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.safetensors</code>, then <strong>use <code>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.pt</code> as texture inversion embedding, and use\n<code>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.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>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.pt</code>\u3068<code>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.safetensors</code>\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<code>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.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>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.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>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.pt</code>\u548c<code>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.safetensors</code>\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06<code>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.pt</code>\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528<code>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.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>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.pt</code>\uc640 <code>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.safetensors</code> \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 <strong><code>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.pt</code>\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 <code>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.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>euphyllia_magenta_tenseioujototensaireijounomahoukakumei</code>, and the recommended tags are <code>best quality, masterpiece, highres, solo, {euphyllia_magenta_tenseioujototensaireijounomahoukakumei:1.15}, purple_eyes, long_hair, bangs, grey_hair, braid, bow, blurry, hair_bow, hair_ornament</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 Euphyllia Magenta Tenseioujototensaireijounomahoukakumei</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/euphyllia_magenta_tenseioujototensaireijounomahoukakumei\" rel=\"ugc\">huggingface repository - CyberHarem/euphyllia<em>magenta</em>tenseioujototensaireijounomahoukakumei</a>, where\nmodels of all the steps are saved. Also, we published the training dataset on \n<a href=\"https://huggingface.co/datasets/CyberHarem/euphyllia_magenta_tenseioujototensaireijounomahoukakumei\" rel=\"ugc\">huggingface dataset - CyberHarem/euphyllia<em>magenta</em>tenseioujototensaireijounomahoukakumei</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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-            "tenseioujototensaireijounomahoukakumei euphyllia magenta"
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+    "updatedAt": "2023-09-20T08:48:46.265Z",
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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>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.pt</code> and \n<code>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.safetensors</code>, then <strong>use <code>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.pt</code> as texture inversion embedding, and use\n<code>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.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>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.pt</code>\u3068<code>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.safetensors</code>\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<code>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.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>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.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>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.pt</code>\u548c<code>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.safetensors</code>\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06<code>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.pt</code>\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528<code>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.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>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.pt</code>\uc640 <code>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.safetensors</code> \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 <strong><code>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.pt</code>\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 <code>euphyllia_magenta_tenseioujototensaireijounomahoukakumei.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>euphyllia_magenta_tenseioujototensaireijounomahoukakumei</code>, and the recommended tags are <code>best quality, masterpiece, highres, solo, {euphyllia_magenta_tenseioujototensaireijounomahoukakumei:1.15}, purple_eyes, long_hair, bangs, grey_hair, braid, bow, blurry, hair_bow, hair_ornament</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 Euphyllia Magenta Tenseioujototensaireijounomahoukakumei</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/euphyllia_magenta_tenseioujototensaireijounomahoukakumei\" rel=\"ugc\">huggingface repository - CyberHarem/euphyllia<em>magenta</em>tenseioujototensaireijounomahoukakumei</a>, where\nmodels of all the steps are saved. Also, we published the training dataset on \n<a href=\"https://huggingface.co/datasets/CyberHarem/euphyllia_magenta_tenseioujototensaireijounomahoukakumei\" rel=\"ugc\">huggingface dataset - CyberHarem/euphyllia<em>magenta</em>tenseioujototensaireijounomahoukakumei</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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 }

A-表番角色/转生公主与天才千金的魔法革命/euphyllia_no_outfit.civitai.info

@@ -1,172 +1,172 @@
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 }

A-表番角色/转生公主与天才千金的魔法革命/ilia_coral.civitai.info

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 }

A-表番角色/转生公主与天才千金的魔法革命/illya_coral_tenseioujototensaireijounomahoukakumei.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 0.5.</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>illya_coral_tenseioujototensaireijounomahoukakumei.pt</code> and \n<code>illya_coral_tenseioujototensaireijounomahoukakumei.safetensors</code>, then <strong>use <code>illya_coral_tenseioujototensaireijounomahoukakumei.pt</code> as texture inversion embedding, and use\n<code>illya_coral_tenseioujototensaireijounomahoukakumei.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>illya_coral_tenseioujototensaireijounomahoukakumei.pt</code>\u3068<code>illya_coral_tenseioujototensaireijounomahoukakumei.safetensors</code>\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<code>illya_coral_tenseioujototensaireijounomahoukakumei.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>illya_coral_tenseioujototensaireijounomahoukakumei.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>illya_coral_tenseioujototensaireijounomahoukakumei.pt</code>\u548c<code>illya_coral_tenseioujototensaireijounomahoukakumei.safetensors</code>\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06<code>illya_coral_tenseioujototensaireijounomahoukakumei.pt</code>\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528<code>illya_coral_tenseioujototensaireijounomahoukakumei.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>illya_coral_tenseioujototensaireijounomahoukakumei.pt</code>\uc640 <code>illya_coral_tenseioujototensaireijounomahoukakumei.safetensors</code> \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 <strong><code>illya_coral_tenseioujototensaireijounomahoukakumei.pt</code>\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 <code>illya_coral_tenseioujototensaireijounomahoukakumei.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>illya_coral_tenseioujototensaireijounomahoukakumei</code>, and the recommended tags are <code>best quality, masterpiece, highres, solo, {illya_coral_tenseioujototensaireijounomahoukakumei:1.15}, red_hair, blue_eyes, maid_headdress, bangs, apron, maid_apron, sidelocks, hat, closed_mouth, hair_between_eyes, 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 Illya Coral Tenseioujototensaireijounomahoukakumei</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/illya_coral_tenseioujototensaireijounomahoukakumei\" rel=\"ugc\">huggingface repository - CyberHarem/illya<em>coral</em>tenseioujototensaireijounomahoukakumei</a>, where\nmodels of all the steps are saved. Also, we published the training dataset on \n<a href=\"https://huggingface.co/datasets/CyberHarem/illya_coral_tenseioujototensaireijounomahoukakumei\" rel=\"ugc\">huggingface dataset - CyberHarem/illya<em>coral</em>tenseioujototensaireijounomahoukakumei</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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+        "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>illya_coral_tenseioujototensaireijounomahoukakumei.pt</code> and \n<code>illya_coral_tenseioujototensaireijounomahoukakumei.safetensors</code>, then <strong>use <code>illya_coral_tenseioujototensaireijounomahoukakumei.pt</code> as texture inversion embedding, and use\n<code>illya_coral_tenseioujototensaireijounomahoukakumei.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>illya_coral_tenseioujototensaireijounomahoukakumei.pt</code>\u3068<code>illya_coral_tenseioujototensaireijounomahoukakumei.safetensors</code>\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<code>illya_coral_tenseioujototensaireijounomahoukakumei.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>illya_coral_tenseioujototensaireijounomahoukakumei.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>illya_coral_tenseioujototensaireijounomahoukakumei.pt</code>\u548c<code>illya_coral_tenseioujototensaireijounomahoukakumei.safetensors</code>\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06<code>illya_coral_tenseioujototensaireijounomahoukakumei.pt</code>\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528<code>illya_coral_tenseioujototensaireijounomahoukakumei.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>illya_coral_tenseioujototensaireijounomahoukakumei.pt</code>\uc640 <code>illya_coral_tenseioujototensaireijounomahoukakumei.safetensors</code> \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 <strong><code>illya_coral_tenseioujototensaireijounomahoukakumei.pt</code>\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 <code>illya_coral_tenseioujototensaireijounomahoukakumei.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>illya_coral_tenseioujototensaireijounomahoukakumei</code>, and the recommended tags are <code>best quality, masterpiece, highres, solo, {illya_coral_tenseioujototensaireijounomahoukakumei:1.15}, red_hair, blue_eyes, maid_headdress, bangs, apron, maid_apron, sidelocks, hat, closed_mouth, hair_between_eyes, 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 Illya Coral Tenseioujototensaireijounomahoukakumei</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/illya_coral_tenseioujototensaireijounomahoukakumei\" rel=\"ugc\">huggingface repository - CyberHarem/illya<em>coral</em>tenseioujototensaireijounomahoukakumei</a>, where\nmodels of all the steps are saved. Also, we published the training dataset on \n<a href=\"https://huggingface.co/datasets/CyberHarem/illya_coral_tenseioujototensaireijounomahoukakumei\" rel=\"ugc\">huggingface dataset - CyberHarem/illya<em>coral</em>tenseioujototensaireijounomahoukakumei</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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 }

A-表番角色/转生公主与天才千金的魔法革命/lainie_cyan.civitai.info

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 }

A-表番角色/转生公主与天才千金的魔法革命/lainie_cyan_tenseioujototensaireijounomahoukakumei.civitai.info

@@ -1,416 +1,416 @@
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-        "name": "Lainie Cyan (Tensei Oujo to Tensai Reijou no Mahou Kakumei)",
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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 0.5.</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>lainie_cyan_tenseioujototensaireijounomahoukakumei.pt</code> and \n<code>lainie_cyan_tenseioujototensaireijounomahoukakumei.safetensors</code>, then <strong>use <code>lainie_cyan_tenseioujototensaireijounomahoukakumei.pt</code> as texture inversion embedding, and use\n<code>lainie_cyan_tenseioujototensaireijounomahoukakumei.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>lainie_cyan_tenseioujototensaireijounomahoukakumei.pt</code>\u3068<code>lainie_cyan_tenseioujototensaireijounomahoukakumei.safetensors</code>\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<code>lainie_cyan_tenseioujototensaireijounomahoukakumei.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>lainie_cyan_tenseioujototensaireijounomahoukakumei.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>lainie_cyan_tenseioujototensaireijounomahoukakumei.pt</code>\u548c<code>lainie_cyan_tenseioujototensaireijounomahoukakumei.safetensors</code>\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06<code>lainie_cyan_tenseioujototensaireijounomahoukakumei.pt</code>\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528<code>lainie_cyan_tenseioujototensaireijounomahoukakumei.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>lainie_cyan_tenseioujototensaireijounomahoukakumei.pt</code>\uc640 <code>lainie_cyan_tenseioujototensaireijounomahoukakumei.safetensors</code> \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 <strong><code>lainie_cyan_tenseioujototensaireijounomahoukakumei.pt</code>\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 <code>lainie_cyan_tenseioujototensaireijounomahoukakumei.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>lainie_cyan_tenseioujototensaireijounomahoukakumei</code>, and the recommended tags are <code>best quality, masterpiece, highres, solo, {lainie_cyan_tenseioujototensaireijounomahoukakumei:1.15}, black_hair, short_hair, hair_ornament, bangs, flower, hair_flower, braid, crown_braid, blurry, red_eyes</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 Lainie Cyan Tenseioujototensaireijounomahoukakumei</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/lainie_cyan_tenseioujototensaireijounomahoukakumei\" rel=\"ugc\">huggingface repository - CyberHarem/lainie<em>cyan</em>tenseioujototensaireijounomahoukakumei</a>, where\nmodels of all the steps are saved. Also, we published the training dataset on \n<a href=\"https://huggingface.co/datasets/CyberHarem/lainie_cyan_tenseioujototensaireijounomahoukakumei\" rel=\"ugc\">huggingface dataset - CyberHarem/lainie<em>cyan</em>tenseioujototensaireijounomahoukakumei</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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+    "name": "v1.4",
+    "createdAt": "2023-09-20T08:59:56.661Z",
+    "updatedAt": "2023-09-20T09:01:31.887Z",
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+    "trainingDetails": null,
+    "baseModel": "SD 1.5",
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+    "description": "\n",
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+    "model": {
+        "name": "Lainie Cyan (Tensei Oujo to Tensai Reijou no Mahou Kakumei)",
+        "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>lainie_cyan_tenseioujototensaireijounomahoukakumei.pt</code> and \n<code>lainie_cyan_tenseioujototensaireijounomahoukakumei.safetensors</code>, then <strong>use <code>lainie_cyan_tenseioujototensaireijounomahoukakumei.pt</code> as texture inversion embedding, and use\n<code>lainie_cyan_tenseioujototensaireijounomahoukakumei.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>lainie_cyan_tenseioujototensaireijounomahoukakumei.pt</code>\u3068<code>lainie_cyan_tenseioujototensaireijounomahoukakumei.safetensors</code>\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<code>lainie_cyan_tenseioujototensaireijounomahoukakumei.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>lainie_cyan_tenseioujototensaireijounomahoukakumei.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>lainie_cyan_tenseioujototensaireijounomahoukakumei.pt</code>\u548c<code>lainie_cyan_tenseioujototensaireijounomahoukakumei.safetensors</code>\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06<code>lainie_cyan_tenseioujototensaireijounomahoukakumei.pt</code>\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528<code>lainie_cyan_tenseioujototensaireijounomahoukakumei.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>lainie_cyan_tenseioujototensaireijounomahoukakumei.pt</code>\uc640 <code>lainie_cyan_tenseioujototensaireijounomahoukakumei.safetensors</code> \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 <strong><code>lainie_cyan_tenseioujototensaireijounomahoukakumei.pt</code>\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 <code>lainie_cyan_tenseioujototensaireijounomahoukakumei.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>lainie_cyan_tenseioujototensaireijounomahoukakumei</code>, and the recommended tags are <code>best quality, masterpiece, highres, solo, {lainie_cyan_tenseioujototensaireijounomahoukakumei:1.15}, black_hair, short_hair, hair_ornament, bangs, flower, hair_flower, braid, crown_braid, blurry, red_eyes</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 Lainie Cyan Tenseioujototensaireijounomahoukakumei</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/lainie_cyan_tenseioujototensaireijounomahoukakumei\" rel=\"ugc\">huggingface repository - CyberHarem/lainie<em>cyan</em>tenseioujototensaireijounomahoukakumei</a>, where\nmodels of all the steps are saved. Also, we published the training dataset on \n<a href=\"https://huggingface.co/datasets/CyberHarem/lainie_cyan_tenseioujototensaireijounomahoukakumei\" rel=\"ugc\">huggingface dataset - CyberHarem/lainie<em>cyan</em>tenseioujototensaireijounomahoukakumei</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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+            "female",
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+            "black hair",
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+            "flower",
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+            "girl\uff0c",
+            "hair flower",
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+            "fully automated",
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+            "tenseioujototensaireijounomahoukakumei lainie cyan"
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