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Browse files- A-表番角色/数码宝贝/MenoaBellucci-10.civitai.info +293 -0
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- A-表番角色/数码宝贝/MenoaBellucci-10.safetensors +3 -0
- A-表番角色/星期一的丰满/AI_Mother_Tawawa-KK77-V1.civitai.info +217 -0
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- A-表番角色/期待在地下城邂逅有错吗系列/AphroditeDanmachi-20.civitai.info +454 -0
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- A-表番角色/期待在地下城邂逅有错吗系列/AphroditeDanmachi-20.safetensors +3 -0
- A-表番角色/期待在地下城邂逅有错吗系列/Freya_Danmachi-KK77-V1.civitai.info +231 -0
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- A-表番角色/期待在地下城邂逅有错吗系列/Freya_Danmachi-KK77-V1.safetensors +3 -0
- A-表番角色/期待在地下城邂逅有错吗系列/einatulle-nvwls-v1.civitai.info +402 -0
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- A-表番角色/期待在地下城邂逅有错吗系列/einatulle-nvwls-v1.safetensors +3 -0
- A-表番角色/末日时在做什么?有没有空?可以来拯救吗?/chtholly_sukasuka.civitai.info +413 -0
- A-/350/241/250/347/225/252/350/247/222/350/211/262//346/234/253/346/227/245/346/227/266/345/234/250/345/201/232/344/273/200/344/271/210/357/274/237/346/234/211/346/262/241/346/234/211/347/251/272/357/274/237/345/217/257/344/273/245/346/235/245/346/213/257/346/225/221/345/220/227/357/274/237/chtholly_sukasuka.preview.png +0 -0
- A-表番角色/末日时在做什么?有没有空?可以来拯救吗?/chtholly_sukasuka.safetensors +3 -0
- A-表番角色/末日时在做什么?有没有空?可以来拯救吗?/ithea_sukasuka.civitai.info +414 -0
- A-/350/241/250/347/225/252/350/247/222/350/211/262//346/234/253/346/227/245/346/227/266/345/234/250/345/201/232/344/273/200/344/271/210/357/274/237/346/234/211/346/262/241/346/234/211/347/251/272/357/274/237/345/217/257/344/273/245/346/235/245/346/213/257/346/225/221/345/220/227/357/274/237/ithea_sukasuka.preview.png +0 -0
- A-表番角色/末日时在做什么?有没有空?可以来拯救吗?/ithea_sukasuka.safetensors +3 -0
- A-表番角色/末日时在做什么?有没有空?可以来拯救吗?/nephren_sukasuka.civitai.info +414 -0
- A-/350/241/250/347/225/252/350/247/222/350/211/262//346/234/253/346/227/245/346/227/266/345/234/250/345/201/232/344/273/200/344/271/210/357/274/237/346/234/211/346/262/241/346/234/211/347/251/272/357/274/237/345/217/257/344/273/245/346/235/245/346/213/257/346/225/221/345/220/227/357/274/237/nephren_sukasuka.preview.png +0 -0
- A-表番角色/末日时在做什么?有没有空?可以来拯救吗?/nephren_sukasuka.safetensors +3 -0
- A-表番角色/末日时在做什么?有没有空?可以来拯救吗?/nopht_sukasuka.civitai.info +164 -0
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- A-表番角色/末日时在做什么?有没有空?可以来拯救吗?/nopht_sukasuka.safetensors +3 -0
- A-表番角色/末日时在做什么?有没有空?可以来拯救吗?/nygglatho_sukasuka.civitai.info +384 -0
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- A-表番角色/末日时在做什么?有没有空?可以来拯救吗?/nygglatho_sukasuka.safetensors +3 -0
- A-表番角色/末日时在做什么?有没有空?可以来拯救吗?/rhantolk_sukasuka.civitai.info +227 -0
- A-/350/241/250/347/225/252/350/247/222/350/211/262//346/234/253/346/227/245/346/227/266/345/234/250/345/201/232/344/273/200/344/271/210/357/274/237/346/234/211/346/262/241/346/234/211/347/251/272/357/274/237/345/217/257/344/273/245/346/235/245/346/213/257/346/225/221/345/220/227/357/274/237/rhantolk_sukasuka.preview.png +0 -0
- A-表番角色/末日时在做什么?有没有空?可以来拯救吗?/rhantolk_sukasuka.safetensors +3 -0
- A-表番角色/末日时在做什么?有没有空?可以来拯救吗?/tiat_sukasuka.civitai.info +350 -0
- A-/350/241/250/347/225/252/350/247/222/350/211/262//346/234/253/346/227/245/346/227/266/345/234/250/345/201/232/344/273/200/344/271/210/357/274/237/346/234/211/346/262/241/346/234/211/347/251/272/357/274/237/345/217/257/344/273/245/346/235/245/346/213/257/346/225/221/345/220/227/357/274/237/tiat_sukasuka.preview.png +0 -0
- A-表番角色/末日时在做什么?有没有空?可以来拯救吗?/tiat_sukasuka.safetensors +3 -0
- A-表番角色/欢迎来到实力至上主义的教室/kushida_kikyo_v1.civitai.info +553 -0
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- A-表番角色/百合是我的工作!/1653093049614104284.safetensors +3 -0
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- A-表番角色/租借女友/RukaSarashina-10.safetensors +3 -0
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- A-表番角色/租借女友/miniyaemori-lora-nochekaiser.safetensors +3 -0
A-表番角色/数码宝贝/MenoaBellucci-10.civitai.info
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{
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"id": 149375,
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"name": "AI's Mother \u304a\u6bcd\u3055\u3093 | Tawawa on Monday \u6708\u66dc\u65e5\u306e\u305f\u308f\u308f",
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"description": "<p>AI's Mother \u304a\u6bcd\u3055\u3093 | Tawawa on Monday \u6708\u66dc\u65e5\u306e\u305f\u308f\u308f</p><p><a target=\"_blank\" rel=\"ugc\" href=\"https://www.pixiv.net/users/86166786\">https://www.pixiv.net/users/86166786</a></p><p>Discord: <a target=\"_blank\" rel=\"ugc\" href=\"https://discord.gg/YkqSnaXqEQ\">https://discord.gg/YkqSnaXqEQ</a></p><p><strong>Version 1: Images : 200 From Anime</strong></p><p><a target=\"_blank\" rel=\"ugc\" href=\"https://discord.com/channels/1105857326503690320/1141359709845213278/1145114127061233807\">https://discord.com/channels/1105857326503690320/1141359709845213278/1145114127061233807</a></p><p>\u8072\uff1a\u4e95\u4e0a\u559c\u4e45\u5b50</p><p></p><p>prompt:</p><p>Simple White Background,<br /><br />purple_shirt, purple_sweater, shirt,<br /><br /><lora:AI_Mother_Tawawa-KK77-V1:0.7>,<br /><br />brown_hair,long_hair, low_ponytail,braid, parted_bangs,<br /><br /><lora:Mariana_Luciano_NON_VIRGIN-KK77-V1:0.3>,<lora:more_details:0.1>,<br />1 girl, 20yo,Young female,Beautiful Finger,Beautiful long legs,Beautiful body,Beautiful Nose,Beautiful character design, perfect eyes, perfect face,expressive eyes,perfect balance,<br /><br />looking at viewer,(Focus on her face),closed mouth, (innocent_big_eyes:1.0),Light_Smile,<br /><br />official art,extremely detailed CG unity 8k wallpaper, perfect lighting,Colorful, Bright_Front_face_Lighting,shiny skin,<br />(masterpiece:1.0),(best_quality:1.0), ultra high res,4K,ultra-detailed,<br />photography, 8K, HDR, highres, absurdres:1.2, Kodak portra 400, film grain, blurry background, bokeh:1.2, lens flare, (vibrant_color:1.2),professional photograph,<br /><br />(Beautiful,large_Breasts:1.4), (beautiful_face:1.5),(narrow_waist),</p><p><br />Negative prompt:</p><p>EasyNegative, FastNegativeV2, bad-artist-anime, bad-hands-5, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, jpeg artifacts, signature, watermark, username, blurry, out of focus, censorship, Missing vagina, Blurry faces, Blank faces, bad face, Ugly, extra ear, amputee, missing hands, missing arms, missing legs, Extra fingers, 6 fingers, Extra feet, Missing nipples, ghost, futanari, Extra legs, Extra hands, panties,pants, (painting by bad-artist-anime:0.9), (painting by bad-artist:0.9), text, error, blurry, jpeg artifacts, cropped, normal quality, artist name, (worst quality, low quality:1.4),twisted_hands,fused_fingers,Face Shadow,NSFW,(worst quality:2), (low quality:2), (normal quality:2)</p><p><br />Steps: 48, Sampler: Euler a, CFG scale: 7, Seed: -1, Size: 512x768,</p><p>Model hash: 3e9211917c, Model: yesmix_v16Original, Denoising strength: 0.5,</p><p></p><p>ControlNet 0: \"Module: openpose_full, Model: control_v11p_sd15_openpose [cab727d4], Weight: 1, Resize Mode: Crop and Resize, Low Vram: False, Processor Res: 512, Guidance Start: 0, Guidance End: 1, Pixel Perfect: True, Control Mode: My prompt is more important\",</p><p></p><p>Hires upscale: 2, Hires steps: 19, Hires upscaler: R-ESRGAN 4x+ Anime6B,</p><p></p><p>Lora hashes: \"AI_Mother_Tawawa-KK77-V1: 5208f3a78a72,</p><p>Mariana_Luciano_NON_VIRGIN-KK77-V1: 55dda9129501,</p><p>more_details: 3b8aa1d351ef\",</p><p></p><p>TI hashes: \"easynegative: c74b4e810b03, FastNegativeV2: a7465e7cc2a2,</p><p>bad-artist-anime: 5f7bea88750c, bad-hands-5: aa7651be154c\", Version: v1.5.2</p>",
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"anime",
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"character",
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"sexy",
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"female",
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"woman",
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"girls"
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],
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"description": "<p>\u3010Request\u3011Freya \u30d5\u30ec\u30a4\u30e4 | DanMachi \u30c0\u30f3\u307e\u3061</p><p><a target=\"_blank\" rel=\"ugc\" href=\"https://www.pixiv.net/users/86166786\">https://www.pixiv.net/users/86166786</a></p><p>\u3010Request\u3011R.</p><p>Discord: <a target=\"_blank\" rel=\"ugc\" href=\"https://discord.gg/YkqSnaXqEQ\">https://discord.gg/YkqSnaXqEQ</a></p><p><strong>Version 1: Images : 200 From Anime & GameCG</strong></p><p><a target=\"_blank\" rel=\"ugc\" href=\"https://discord.com/channels/1105857326503690320/1141359709845213278/1144828563024007198\">https://discord.com/channels/1105857326503690320/1141359709845213278/1144828563024007198</a></p><p></p><p>prompt:</p><p>Simple White Background,<br /><br />cleavage,navel,Black dress with a flower on it,collarbone,Black fur collar,Black fur trim,gloves,elbow gloves,<br /><br /><lora:Freya_Danmachi-KK77-V1:0.7>,<br /><br />Black hair flower,Black hair ornament,white hair,Bangs,purple eyes<br /><br /><lora:Mariana_Luciano_NON_VIRGIN-KK77-V1:0.3>,<lora:more_details:0.1>,<br />1 girl, 20yo,Young female,Beautiful Finger,Beautiful long legs,Beautiful body,Beautiful Nose,Beautiful character design, perfect eyes, perfect face,expressive eyes,perfect balance,<br /><br />looking at viewer,(Focus on her face),closed mouth, (innocent_big_eyes:1.0),Light_Smile,<br /><br />official art,extremely detailed CG unity 8k wallpaper, perfect lighting,Colorful, Bright_Front_face_Lighting,shiny skin,<br />(masterpiece:1.0),(best_quality:1.0), ultra high res,4K,ultra-detailed,<br />photography, 8K, HDR, highres, absurdres:1.2, Kodak portra 400, film grain, blurry background, bokeh:1.2, lens flare, (vibrant_color:1.2),professional photograph,<br /><br />(Beautiful,large_Breasts:1.4), (beautiful_face:1.5),(narrow_waist),</p><p><br />Negative prompt:</p><p>EasyNegative, FastNegativeV2, bad-artist-anime, bad-hands-5, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, jpeg artifacts, signature, watermark, username, blurry, out of focus, censorship, Missing vagina, Blurry faces, Blank faces, bad face, Ugly, extra ear, amputee, missing hands, missing arms, missing legs, Extra fingers, 6 fingers, Extra feet, Missing nipples, ghost, futanari, Extra legs, Extra hands, panties,pants, (painting by bad-artist-anime:0.9), (painting by bad-artist:0.9), text, error, blurry, jpeg artifacts, cropped, normal quality, artist name, (worst quality, low quality:1.4),twisted_hands,fused_fingers,Face Shadow,NSFW,(worst quality:2), (low quality:2), (normal quality:2)</p><p><br />Steps: 48, Sampler: Euler a, CFG scale: 7, Seed: -1, Size: 512x768,</p><p>Model hash: 3e9211917c, Model: yesmix_v16Original, Denoising strength: 0.47,</p><p>ControlNet 0: \"preprocessor: openpose_full, model: control_v11p_sd15_openpose [cab727d4], weight: 1, starting/ending: (0, 1), resize mode: Crop and Resize, pixel perfect: False, control mode: My prompt is more important, preprocessor params: (512, -1, -1)\",</p><p></p><p>Hires upscale: 2, Hires steps: 18, Hires upscaler: R-ESRGAN 4x+ Anime6B,</p><p></p><p>Lora hashes: \"Freya_Danmachi-KK77-V1: 76dd885ebd3a,</p><p>Mariana_Luciano_NON_VIRGIN-KK77-V1: 55dda9129501,</p><p>more_details: 3b8aa1d351ef\",</p><p></p><p>TI hashes: \"easynegative: c74b4e810b03, FastNegativeV2: a7465e7cc2a2,</p><p>bad-artist-anime: 5f7bea88750c, bad-hands-5: aa7651be154c\", Version: v1.5.0</p>",
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{
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"description": "<h3 id=\"i-have-a-form-for-requests-now-check-it-out-if-you-want-to-request-a-character\"><a target=\"_blank\" rel=\"ugc\" href=\"https://docs.google.com/forms/d/e/1FAIpQLScl88t__7YLUtDYZjWlxIPIarH5uyl2bI85FlWyJatQOIAt6A/viewform\">I have a form for requests; check it out if you want to request a character.</a></h3><p>Eina Tulle from Is It Wrong to Try to Pick Up Girls in a Dungeon?/Danmachi. Trained on NAI. Tested at 0.8-1.0 strength.</p><p>Trigger word is \"<strong><span style=\"color:rgb(250, 176, 5)\">einatulle</span></strong>\".</p><p>Add \"<strong>glasses, bowtie, vest, white shirt, black pants</strong>\" for her typical look.</p><p>A request from the form. Check out my <a target=\"_blank\" rel=\"ugc\" href=\"https://discord.gg/uk5qHgE62B\"><strong>Discord</strong></a> if you want to chat about video games (or yell at me about requests.)</p>",
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A-表番角色/期待在地下城邂逅有错吗系列/einatulle-nvwls-v1.safetensors
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"name": "[Anime-based LoRA] Chtholly Nota Seniorious/\u30af\u30c8\u30ea\u30bb\u30cb\u30aa\u30ea\u30b9 (Shuumatsu Nani Shitemasu ka? Isogashii desu ka?)",
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"description": "<p>This is our first fully-automatically-trained LoRA based on anime video, instead. More anime-baed LoRA is coming ...</p><ul><li><p><strong><span style=\"color:rgb(250, 82, 82)\">THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!</span></strong></p></li><li><p><strong>The associated trigger words are only for reference, it may need to be adjusted at some times</strong>.</p></li><li><p>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.</p></li><li><p>The recommended weight for the LoRA model is 0.85; if there's evidence of contamination, consider lowering it to 0.6.</p></li></ul><h2 id=\"heading-877\">How to Use This Model</h2><p><strong><span style=\"color:rgb(250, 82, 82)\">THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!</span></strong>. In this case, you need to download both <code>chtholly_sukasuka.pt</code> and <code>chtholly_sukasuka.safetensors</code>, then <strong>use </strong><code>chtholly_sukasuka.pt</code> as texture inversion embedding, and use <code>chtholly_sukasuka.safetensors</code> as LoRA at the same time.</p><p><strong><span style=\"color:rgb(250, 82, 82)\">\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 \u3053\u306e\u5834\u5408\u3001<code>chtholly_sukasuka.pt</code>\u3068<code>chtholly_sukasuka.safetensors</code>\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9 \u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<code>chtholly_sukasuka.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>chtholly_sukasuka.safetensors</code>\u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002</p><p><strong><span style=\"color:rgb(250, 82, 82)\">\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 \u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u9700\u8981\u4e0b\u8f7d<code>chtholly_sukasuka.pt</code>\u548c<code>chtholly_sukasuka.safetensors</code>\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06<code>chtholly_sukasuka.pt</code>\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c \u540c\u65f6\u4f7f\u7528<code>chtholly_sukasuka.safetensors</code>\u4f5c\u4e3aLoRA\u3002</p><p><strong><span style=\"color:rgb(250, 82, 82)\">\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>. \uc774 \uacbd\uc6b0\uc5d0\ub294 <code>chtholly_sukasuka.pt</code>\uc640 <code>chtholly_sukasuka.safetensors</code> \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 <code>chtholly_sukasuka.pt</code>\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \ub3d9\uc2dc\uc5d0 <code>chtholly_sukasuka.safetensors</code>\uc744 LoRA\ub85c \uc0ac\uc6a9\ud558\uc154\uc57c \ud569\ub2c8\ub2e4.</p><p>(Translated with ChatGPT)</p><p>The trigger word is <code>chtholly_sukasuka</code>, and the recommended tags are <code>best quality, masterpiece, highres, solo, {chtholly_sukasuka:1.15}, blue_hair, long_hair, blue_eyes, two_side_up, multicolored_hair</code>.</p><h2 id=\"heading-878\">How This Model Is Trained</h2><p>This model is trained with <a target=\"_blank\" rel=\"ugc\" href=\"https://github.com/7eu7d7/HCP-Diffusion\">HCP-Diffusion</a>. And the auto-training framework is maintained by <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/deepghs\">DeepGHS Team</a>.</p><h2 id=\"heading-879\">Why Some Preview Images Not Look Like Chtholly Sukasuka</h2><p><strong>All the prompt texts</strong> used on the preview images (which can be viewed by clicking on the images) <strong>are automatically generated using clustering algorithms</strong> based on feature information extracted from the training dataset. The seed used during image generation is also randomly generated, and the images have not undergone any selection or modification. As a result, there is a possibility of the mentioned issues occurring.</p><p>In practice, based on our internal testing, most models that experience such issues perform better in actual usage than what is seen in the preview images. <strong>The only thing you may need to do is adjusting the tags you are using</strong>.</p><h2 id=\"heading-880\">I Felt This Model May Be Overfitting or Underfitting, What Shall I Do</h2><p>Our model has been published on <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/CyberHarem/chtholly_sukasuka\">huggingface repository - CyberHarem/chtholly_sukasuka</a>, where models of all the steps are saved. Also, we published the training dataset on <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/datasets/CyberHarem/chtholly_sukasuka\">huggingface dataset - CyberHarem/chtholly_sukasuka</a>, which may be helpful to you.</p><h2 id=\"heading-881\">Why Not Just Using The Better-Selected Images</h2><p>Our model's entire process, from data crawling, training, to generating preview images and publishing, is <strong>100% automated without any human intervention</strong>. It's an interesting experiment conducted by our team, and for this purpose, we have developed a complete set of software infrastructure, including data filtering, automatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or suggestions as they are highly valuable to us.</p><h2 id=\"heading-882\">Why Can't the Desired Character Outfits Be Accurately Generated</h2><p>Our current training data is sourced from various image websites, and for a fully automated pipeline, it's challenging to accurately predict which official images a character possesses. Consequently, outfit generation relies on clustering based on labels from the training dataset in an attempt to achieve the best possible recreation. We will continue to address this issue and attempt optimization, but it remains a challenge that cannot be completely resolved. The accuracy of outfit recreation is also unlikely to match the level achieved by manually trained models.</p><p>In fact, this model's greatest strengths lie in recreating the inherent characteristics of the characters themselves and its relatively strong generalization capabilities, owing to its larger dataset. As such, <strong>this model is well-suited for tasks such as changing outfits, posing characters, and, of course, generating NSFW images of characters!</strong>\ud83d\ude09\".</p><p>For the following groups, it is not recommended to use this model and we express regret:</p><ol><li><p>Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.</p></li><li><p>Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.</p></li><li><p>Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.</p></li><li><p>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.</p></li><li><p>Individuals who finds the generated image content offensive to their values.</p></li></ol>",
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"name": "[Experiment - 3-Stage-Cropping] Ithea Myse Valgulious (Shuumatsu Nani Shitemasu ka? Isogashii desu ka?)",
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"type": "LORA",
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"description": "<p><span style=\"color:rgb(193, 194, 197)\">This LoRA is one of our experiments. We use 38 images from anime video, and align then to 640x880 to train this. We recently finished the automation of 3-stage-cropping method (see: </span><a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/articles/1984/the-fully-automation-of-the-three-stage-cropping-process-for-character-datasets\">https://civitai.com/articles/1984/the-fully-automation-of-the-three-stage-cropping-process-for-character-datasets</a><span style=\"color:rgb(193, 194, 197)\"> ), and the method is used on this LoRA. It seems much better than </span><a rel=\"ugc\" href=\"https://civitai.com/models/136256\"><u><span style=\"color:rgb(193, 194, 197)\">another version not using 3-stage-cropping</span></u></a><span style=\"color:rgb(193, 194, 197)\">, isn't it? :)</span></p><ul><li><p><strong><span style=\"color:rgb(250, 82, 82)\">THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!</span></strong></p></li><li><p><strong>The associated trigger words are only for reference, it may need to be adjusted at some times</strong>.</p></li><li><p>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.</p></li><li><p>The recommended weight for the LoRA model is 0.85; if there's evidence of contamination, consider lowering it to 0.6.</p></li></ul><h2 id=\"heading-1051\">How to Use This Model</h2><p><strong><span style=\"color:rgb(250, 82, 82)\">THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!</span></strong>. In this case, you need to download both <code>ithea_sukasuka.pt</code> and <code>ithea_sukasuka.safetensors</code>, then <strong>use </strong><code>ithea_sukasuka.pt</code> as texture inversion embedding, and use <code>ithea_sukasuka.safetensors</code> as LoRA at the same time.</p><p><strong><span style=\"color:rgb(250, 82, 82)\">\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 \u3053\u306e\u5834\u5408\u3001<code>ithea_sukasuka.pt</code>\u3068<code>ithea_sukasuka.safetensors</code>\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9 \u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<code>ithea_sukasuka.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>ithea_sukasuka.safetensors</code>\u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002</p><p><strong><span style=\"color:rgb(250, 82, 82)\">\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 \u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u9700\u8981\u4e0b\u8f7d<code>ithea_sukasuka.pt</code>\u548c<code>ithea_sukasuka.safetensors</code>\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06<code>ithea_sukasuka.pt</code>\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c \u540c\u65f6\u4f7f\u7528<code>ithea_sukasuka.safetensors</code>\u4f5c\u4e3aLoRA\u3002</p><p><strong><span style=\"color:rgb(250, 82, 82)\">\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>. \uc774 \uacbd\uc6b0\uc5d0\ub294 <code>ithea_sukasuka.pt</code>\uc640 <code>ithea_sukasuka.safetensors</code> \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 <code>ithea_sukasuka.pt</code>\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \ub3d9\uc2dc\uc5d0 <code>ithea_sukasuka.safetensors</code>\uc744 LoRA\ub85c \uc0ac\uc6a9\ud558\uc154\uc57c \ud569\ub2c8\ub2e4.</p><p>(Translated with ChatGPT)</p><p>The trigger word is <code>ithea_sukasuka</code>, and the recommended tags are <code>best quality, masterpiece, highres, solo, {ithea_sukasuka:1.15}, brown_hair, braid, brown_eyes, long_hair, animal_ears, open_mouth</code>.</p><h2 id=\"heading-1052\">How This Model Is Trained</h2><p>This model is trained with <a target=\"_blank\" rel=\"ugc\" href=\"https://github.com/7eu7d7/HCP-Diffusion\">HCP-Diffusion</a>. And the auto-training framework is maintained by <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/deepghs\">DeepGHS Team</a>.</p><h2 id=\"heading-1053\">Why Some Preview Images Not Look Like Ithea Sukasuka</h2><p><strong>All the prompt texts</strong> used on the preview images (which can be viewed by clicking on the images) <strong>are automatically generated using clustering algorithms</strong> based on feature information extracted from the training dataset. The seed used during image generation is also randomly generated, and the images have not undergone any selection or modification. As a result, there is a possibility of the mentioned issues occurring.</p><p>In practice, based on our internal testing, most models that experience such issues perform better in actual usage than what is seen in the preview images. <strong>The only thing you may need to do is adjusting the tags you are using</strong>.</p><h2 id=\"heading-1054\">I Felt This Model May Be Overfitting or Underfitting, What Shall I Do</h2><p>Our model has been published on <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/CyberHarem/ithea_sukasuka\">huggingface repository - CyberHarem/ithea_sukasuka</a>, where models of all the steps are saved. Also, we published the training dataset on <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/datasets/CyberHarem/ithea_sukasuka\">huggingface dataset - CyberHarem/ithea_sukasuka</a>, which may be helpful to you.</p><h2 id=\"heading-1055\">Why Not Just Using The Better-Selected Images</h2><p>Our model's entire process, from data crawling, training, to generating preview images and publishing, is <strong>100% automated without any human intervention</strong>. It's an interesting experiment conducted by our team, and for this purpose, we have developed a complete set of software infrastructure, including data filtering, automatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or suggestions as they are highly valuable to us.</p><h2 id=\"heading-1056\">Why Can't the Desired Character Outfits Be Accurately Generated</h2><p>Our current training data is sourced from various image websites, and for a fully automated pipeline, it's challenging to accurately predict which official images a character possesses. Consequently, outfit generation relies on clustering based on labels from the training dataset in an attempt to achieve the best possible recreation. We will continue to address this issue and attempt optimization, but it remains a challenge that cannot be completely resolved. The accuracy of outfit recreation is also unlikely to match the level achieved by manually trained models.</p><p>In fact, this model's greatest strengths lie in recreating the inherent characteristics of the characters themselves and its relatively strong generalization capabilities, owing to its larger dataset. As such, <strong>this model is well-suited for tasks such as changing outfits, posing characters, and, of course, generating NSFW images of characters!</strong>\ud83d\ude09\".</p><p>For the following groups, it is not recommended to use this model and we express regret:</p><ol><li><p>Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.</p></li><li><p>Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.</p></li><li><p>Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.</p></li><li><p>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.</p></li><li><p>Individuals who finds the generated image content offensive to their values.</p></li></ol>",
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"name": "Nefuren Ruku Insania/\u30cd\u30d5\u30ec\u30f3\u30fb\u30eb\u30af\u30fb\u30a4\u30f3\u30b5\u30cb\u30a2 (Shuumatsu Nani Shitemasu ka? Isogashii desu ka?)",
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"description": "<ul>\n<li><strong><span style=\"color:#fa5252\">THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!</span></strong></li>\n<li><strong>The associated trigger words are only for reference, it may need to be adjusted at some times</strong>.</li>\n<li>The recommended weight for the embedding model is 1, which provides higher fidelity; if greater generalization is required, it can be lowered to 0.5. </li>\n<li>The recommended weight for the LoRA model is 0.85; if there's evidence of contamination, consider lowering it to 0.6.</li>\n</ul>\n<h2>How to Use This Model</h2>\n<p><strong><span style=\"color:#fa5252\">THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!</span></strong>. \nIn this case, you need to download both <code>nephren_sukasuka.pt</code> and \n<code>nephren_sukasuka.safetensors</code>, then <strong>use <code>nephren_sukasuka.pt</code> as texture inversion embedding, and use\n<code>nephren_sukasuka.safetensors</code> as LoRA at the same time</strong>.</p>\n<p><strong><span style=\"color:#fa5252\">\u3053\u306e\u30e2\u30c7\u30eb\u306b\u306f2\u3064\u306e\u30d5\u30a1\u30a4\u30eb\u304c\u3042\u308a\u307e\u3059\u3002\u4e00\u7dd2\u306b\u4f7f\u3046\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\uff01\uff01\uff01</span></strong>\u3002\n\u3053\u306e\u5834\u5408\u3001<code>nephren_sukasuka.pt</code>\u3068<code>nephren_sukasuka.safetensors</code>\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<code>nephren_sukasuka.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>nephren_sukasuka.safetensors</code>\u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002</p>\n<p><strong><span style=\"color:#fa5252\">\u8fd9\u4e2a\u6a21\u578b\u6709\u4e24\u4e2a\u6587\u4ef6\u3002\u4f60\u9700\u8981\u540c\u65f6\u4f7f\u7528\u5b83\u4eec\uff01\uff01\uff01</span></strong>\u3002\n\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u9700\u8981\u4e0b\u8f7d<code>nephren_sukasuka.pt</code>\u548c<code>nephren_sukasuka.safetensors</code>\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06<code>nephren_sukasuka.pt</code>\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528<code>nephren_sukasuka.safetensors</code>\u4f5c\u4e3aLoRA\u3002</p>\n<p><strong><span style=\"color:#fa5252\">\uc774 \ubaa8\ub378\uc740 \ub450 \uac1c\uc758 \ud30c\uc77c\uc774 \uc788\uc2b5\ub2c8\ub2e4. \ub450 \ud30c\uc77c\uc744 \ud568\uaed8 \uc0ac\uc6a9\ud574\uc57c \ud569\ub2c8\ub2e4!!!</span></strong>. \n\uc774 \uacbd\uc6b0\uc5d0\ub294 <code>nephren_sukasuka.pt</code>\uc640 <code>nephren_sukasuka.safetensors</code> \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 <strong><code>nephren_sukasuka.pt</code>\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 <code>nephren_sukasuka.safetensors</code>\uc744 LoRA\ub85c \uc0ac\uc6a9\ud558\uc154\uc57c \ud569\ub2c8\ub2e4</strong>.</p>\n<p>(Translated with ChatGPT)</p>\n<p>The trigger word is <code>nephren_sukasuka</code>, and the recommended tags are <code>best quality, masterpiece, highres, solo, {nephren_sukasuka:1.15}, twintails, grey_eyes, ribbon, hair_ribbon, closed_mouth, upper_body</code>.</p>\n<h2>How This Model Is Trained</h2>\n<p>This model is trained with <a href=\"https://github.com/7eu7d7/HCP-Diffusion\" rel=\"ugc\">HCP-Diffusion</a>. \nAnd the auto-training framework is maintained by <a href=\"https://huggingface.co/deepghs\" rel=\"ugc\">DeepGHS Team</a>.</p>\n<h2>Why Some Preview Images Not Look Like Nephren Sukasuka</h2>\n<p><strong>All the prompt texts</strong> used on the preview images (which can be viewed by clicking on the images) \n<strong>are automatically generated using clustering algorithms</strong> based on feature information extracted from the \ntraining dataset. The seed used during image generation is also randomly generated, and the images have \nnot undergone any selection or modification. As a result, there is a possibility of the mentioned \nissues occurring.</p>\n<p>In practice, based on our internal testing, most models that experience such issues perform better in \nactual usage than what is seen in the preview images. <strong>The only thing you may need to do is adjusting \nthe tags you are using</strong>.</p>\n<h2>I Felt This Model May Be Overfitting or Underfitting, What Shall I Do</h2>\n<p>Our model has been published on <a href=\"https://huggingface.co/CyberHarem/nephren_sukasuka\" rel=\"ugc\">huggingface repository - CyberHarem/nephren_sukasuka</a>, where\nmodels of all the steps are saved. Also, we published the training dataset on \n<a href=\"https://huggingface.co/datasets/CyberHarem/nephren_sukasuka\" rel=\"ugc\">huggingface dataset - CyberHarem/nephren_sukasuka</a>, which may be helpful to you.</p>\n<h2>Why Not Just Using The Better-Selected Images</h2>\n<p>Our model's entire process, from data crawling, training, to generating preview images and publishing, \nis <strong>100% automated without any human intervention</strong>. It's an interesting experiment conducted by our team, \nand for this purpose, we have developed a complete set of software infrastructure, including data filtering, \nautomatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or \nsuggestions as they are highly valuable to us.</p>\n<h2>Why Can't the Desired Character Outfits Be Accurately Generated</h2>\n<p>Our current training data is sourced from various image websites, and for a fully automated pipeline, \nit's challenging to accurately predict which official images a character possesses. \nConsequently, outfit generation relies on clustering based on labels from the training dataset \nin an attempt to achieve the best possible recreation. We will continue to address this issue and attempt \noptimization, but it remains a challenge that cannot be completely resolved. The accuracy of outfit \nrecreation is also unlikely to match the level achieved by manually trained models.</p>\n<p>In fact, this model's greatest strengths lie in recreating the inherent characteristics of the characters \nthemselves and its relatively strong generalization capabilities, owing to its larger dataset. \nAs such, <strong>this model is well-suited for tasks such as changing outfits, posing characters, and, \nof course, generating NSFW images of characters!</strong>\ud83d\ude09\".</p>\n<p>For the following groups, it is not recommended to use this model and we express regret:</p>\n<ol>\n<li>Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.</li>\n<li>Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.</li>\n<li>Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.</li>\n<li>Individuals who are not comfortable with the fully automated process of training character models using LoRA, or those who believe that training character models must be done purely through manual operations to avoid disrespecting the characters.</li>\n<li>Individuals who finds the generated image content offensive to their values.</li>\n</ol>",
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A-表番角色/末日时在做什么?有没有空?可以来拯救吗?/nephren_sukasuka.safetensors
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"model": {
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"name": "Nopht Caro Oracion/\u30ce\u30d5\u30c8\u30fb\u30b1\u30fc\u30fb\u30c7\u30b9\u30da\u30e9\u30c6\u30a3\u30aa (Shuumatsu Nani Shitemasu ka? Isogashii desu ka?)",
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"description": "<ul>\n<li><strong><span style=\"color:#fa5252\">THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!</span></strong></li>\n<li><strong>The associated trigger words are only for reference, it may need to be adjusted at some times</strong>.</li>\n<li>The recommended weight for the embedding model is 1, which provides higher fidelity; if greater generalization is required, it can be lowered to 0.5. </li>\n<li>The recommended weight for the LoRA model is 0.85; if there's evidence of contamination, consider lowering it to 0.6.</li>\n</ul>\n<h2>How to Use This Model</h2>\n<p><strong><span style=\"color:#fa5252\">THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!</span></strong>. \nIn this case, you need to download both <code>nopht_sukasuka.pt</code> and \n<code>nopht_sukasuka.safetensors</code>, then <strong>use <code>nopht_sukasuka.pt</code> as texture inversion embedding, and use\n<code>nopht_sukasuka.safetensors</code> as LoRA at the same time</strong>.</p>\n<p><strong><span style=\"color:#fa5252\">\u3053\u306e\u30e2\u30c7\u30eb\u306b\u306f2\u3064\u306e\u30d5\u30a1\u30a4\u30eb\u304c\u3042\u308a\u307e\u3059\u3002\u4e00\u7dd2\u306b\u4f7f\u3046\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\uff01\uff01\uff01</span></strong>\u3002\n\u3053\u306e\u5834\u5408\u3001<code>nopht_sukasuka.pt</code>\u3068<code>nopht_sukasuka.safetensors</code>\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<code>nopht_sukasuka.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>nopht_sukasuka.safetensors</code>\u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002</p>\n<p><strong><span style=\"color:#fa5252\">\u8fd9\u4e2a\u6a21\u578b\u6709\u4e24\u4e2a\u6587\u4ef6\u3002\u4f60\u9700\u8981\u540c\u65f6\u4f7f\u7528\u5b83\u4eec\uff01\uff01\uff01</span></strong>\u3002\n\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u9700\u8981\u4e0b\u8f7d<code>nopht_sukasuka.pt</code>\u548c<code>nopht_sukasuka.safetensors</code>\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06<code>nopht_sukasuka.pt</code>\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528<code>nopht_sukasuka.safetensors</code>\u4f5c\u4e3aLoRA\u3002</p>\n<p><strong><span style=\"color:#fa5252\">\uc774 \ubaa8\ub378\uc740 \ub450 \uac1c\uc758 \ud30c\uc77c\uc774 \uc788\uc2b5\ub2c8\ub2e4. \ub450 \ud30c\uc77c\uc744 \ud568\uaed8 \uc0ac\uc6a9\ud574\uc57c \ud569\ub2c8\ub2e4!!!</span></strong>. \n\uc774 \uacbd\uc6b0\uc5d0\ub294 <code>nopht_sukasuka.pt</code>\uc640 <code>nopht_sukasuka.safetensors</code> \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 <strong><code>nopht_sukasuka.pt</code>\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 <code>nopht_sukasuka.safetensors</code>\uc744 LoRA\ub85c \uc0ac\uc6a9\ud558\uc154\uc57c \ud569\ub2c8\ub2e4</strong>.</p>\n<p>(Translated with ChatGPT)</p>\n<p>The trigger word is <code>nopht_sukasuka</code>, and the recommended tags are <code>best quality, masterpiece, highres, solo, {nopht_sukasuka:1.15}, short_hair, pink_hair, red_hair, red_eyes</code>.</p>\n<h2>How This Model Is Trained</h2>\n<p>This model is trained with <a href=\"https://github.com/7eu7d7/HCP-Diffusion\" rel=\"ugc\">HCP-Diffusion</a>. \nAnd the auto-training framework is maintained by <a href=\"https://huggingface.co/deepghs\" rel=\"ugc\">DeepGHS Team</a>.</p>\n<h2>Why Some Preview Images Not Look Like Nopht Sukasuka</h2>\n<p><strong>All the prompt texts</strong> used on the preview images (which can be viewed by clicking on the images) \n<strong>are automatically generated using clustering algorithms</strong> based on feature information extracted from the \ntraining dataset. The seed used during image generation is also randomly generated, and the images have \nnot undergone any selection or modification. As a result, there is a possibility of the mentioned \nissues occurring.</p>\n<p>In practice, based on our internal testing, most models that experience such issues perform better in \nactual usage than what is seen in the preview images. <strong>The only thing you may need to do is adjusting \nthe tags you are using</strong>.</p>\n<h2>I Felt This Model May Be Overfitting or Underfitting, What Shall I Do</h2>\n<p>Our model has been published on <a href=\"https://huggingface.co/CyberHarem/nopht_sukasuka\" rel=\"ugc\">huggingface repository - CyberHarem/nopht_sukasuka</a>, where\nmodels of all the steps are saved. Also, we published the training dataset on \n<a href=\"https://huggingface.co/datasets/CyberHarem/nopht_sukasuka\" rel=\"ugc\">huggingface dataset - CyberHarem/nopht_sukasuka</a>, which may be helpful to you.</p>\n<h2>Why Not Just Using The Better-Selected Images</h2>\n<p>Our model's entire process, from data crawling, training, to generating preview images and publishing, \nis <strong>100% automated without any human intervention</strong>. It's an interesting experiment conducted by our team, \nand for this purpose, we have developed a complete set of software infrastructure, including data filtering, \nautomatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or \nsuggestions as they are highly valuable to us.</p>\n<h2>Why Can't the Desired Character Outfits Be Accurately Generated</h2>\n<p>Our current training data is sourced from various image websites, and for a fully automated pipeline, \nit's challenging to accurately predict which official images a character possesses. \nConsequently, outfit generation relies on clustering based on labels from the training dataset \nin an attempt to achieve the best possible recreation. We will continue to address this issue and attempt \noptimization, but it remains a challenge that cannot be completely resolved. The accuracy of outfit \nrecreation is also unlikely to match the level achieved by manually trained models.</p>\n<p>In fact, this model's greatest strengths lie in recreating the inherent characteristics of the characters \nthemselves and its relatively strong generalization capabilities, owing to its larger dataset. \nAs such, <strong>this model is well-suited for tasks such as changing outfits, posing characters, and, \nof course, generating NSFW images of characters!</strong>\ud83d\ude09\".</p>\n<p>For the following groups, it is not recommended to use this model and we express regret:</p>\n<ol>\n<li>Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.</li>\n<li>Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.</li>\n<li>Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.</li>\n<li>Individuals who are not comfortable with the fully automated process of training character models using LoRA, or those who believe that training character models must be done purely through manual operations to avoid disrespecting the characters.</li>\n<li>Individuals who finds the generated image content offensive to their values.</li>\n</ol>",
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"name": "Nygglatho Astartus/\u30ca\u30a4\u30b0\u30e9\u30fc\u30c8\u30fb\u30a2\u30b9\u30bf\u30eb\u30c8\u30b9 (Shuumatsu Nani Shitemasu ka? Isogashii desu ka?)",
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"description": "<ul>\n<li><strong><span style=\"color:#fa5252\">THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!</span></strong></li>\n<li><strong>The associated trigger words are only for reference, it may need to be adjusted at some times</strong>.</li>\n<li>The recommended weight for the embedding model is 1, which provides higher fidelity; if greater generalization is required, it can be lowered to 0.5. </li>\n<li>The recommended weight for the LoRA model is 0.85; if there's evidence of contamination, consider lowering it to 0.6.</li>\n</ul>\n<h2>How to Use This Model</h2>\n<p><strong><span style=\"color:#fa5252\">THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!</span></strong>. \nIn this case, you need to download both <code>nygglatho_sukasuka.pt</code> and \n<code>nygglatho_sukasuka.safetensors</code>, then <strong>use <code>nygglatho_sukasuka.pt</code> as texture inversion embedding, and use\n<code>nygglatho_sukasuka.safetensors</code> as LoRA at the same time</strong>.</p>\n<p><strong><span style=\"color:#fa5252\">\u3053\u306e\u30e2\u30c7\u30eb\u306b\u306f2\u3064\u306e\u30d5\u30a1\u30a4\u30eb\u304c\u3042\u308a\u307e\u3059\u3002\u4e00\u7dd2\u306b\u4f7f\u3046\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\uff01\uff01\uff01</span></strong>\u3002\n\u3053\u306e\u5834\u5408\u3001<code>nygglatho_sukasuka.pt</code>\u3068<code>nygglatho_sukasuka.safetensors</code>\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<code>nygglatho_sukasuka.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>nygglatho_sukasuka.safetensors</code>\u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002</p>\n<p><strong><span style=\"color:#fa5252\">\u8fd9\u4e2a\u6a21\u578b\u6709\u4e24\u4e2a\u6587\u4ef6\u3002\u4f60\u9700\u8981\u540c\u65f6\u4f7f\u7528\u5b83\u4eec\uff01\uff01\uff01</span></strong>\u3002\n\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u9700\u8981\u4e0b\u8f7d<code>nygglatho_sukasuka.pt</code>\u548c<code>nygglatho_sukasuka.safetensors</code>\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06<code>nygglatho_sukasuka.pt</code>\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528<code>nygglatho_sukasuka.safetensors</code>\u4f5c\u4e3aLoRA\u3002</p>\n<p><strong><span style=\"color:#fa5252\">\uc774 \ubaa8\ub378\uc740 \ub450 \uac1c\uc758 \ud30c\uc77c\uc774 \uc788\uc2b5\ub2c8\ub2e4. \ub450 \ud30c\uc77c\uc744 \ud568\uaed8 \uc0ac\uc6a9\ud574\uc57c \ud569\ub2c8\ub2e4!!!</span></strong>. \n\uc774 \uacbd\uc6b0\uc5d0\ub294 <code>nygglatho_sukasuka.pt</code>\uc640 <code>nygglatho_sukasuka.safetensors</code> \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 <strong><code>nygglatho_sukasuka.pt</code>\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 <code>nygglatho_sukasuka.safetensors</code>\uc744 LoRA\ub85c \uc0ac\uc6a9\ud558\uc154\uc57c \ud569\ub2c8\ub2e4</strong>.</p>\n<p>(Translated with ChatGPT)</p>\n<p>The trigger word is <code>nygglatho_sukasuka</code>, and the recommended tags are <code>best quality, masterpiece, highres, solo, {nygglatho_sukasuka:1.15}, long_hair, red_hair, maid_headdress, apron, pink_hair, green_eyes</code>.</p>\n<h2>How This Model Is Trained</h2>\n<p>This model is trained with <a href=\"https://github.com/7eu7d7/HCP-Diffusion\" rel=\"ugc\">HCP-Diffusion</a>. \nAnd the auto-training framework is maintained by <a href=\"https://huggingface.co/deepghs\" rel=\"ugc\">DeepGHS Team</a>.</p>\n<h2>Why Some Preview Images Not Look Like Nygglatho Sukasuka</h2>\n<p><strong>All the prompt texts</strong> used on the preview images (which can be viewed by clicking on the images) \n<strong>are automatically generated using clustering algorithms</strong> based on feature information extracted from the \ntraining dataset. The seed used during image generation is also randomly generated, and the images have \nnot undergone any selection or modification. As a result, there is a possibility of the mentioned \nissues occurring.</p>\n<p>In practice, based on our internal testing, most models that experience such issues perform better in \nactual usage than what is seen in the preview images. <strong>The only thing you may need to do is adjusting \nthe tags you are using</strong>.</p>\n<h2>I Felt This Model May Be Overfitting or Underfitting, What Shall I Do</h2>\n<p>Our model has been published on <a href=\"https://huggingface.co/CyberHarem/nygglatho_sukasuka\" rel=\"ugc\">huggingface repository - CyberHarem/nygglatho_sukasuka</a>, where\nmodels of all the steps are saved. Also, we published the training dataset on \n<a href=\"https://huggingface.co/datasets/CyberHarem/nygglatho_sukasuka\" rel=\"ugc\">huggingface dataset - CyberHarem/nygglatho_sukasuka</a>, which may be helpful to you.</p>\n<h2>Why Not Just Using The Better-Selected Images</h2>\n<p>Our model's entire process, from data crawling, training, to generating preview images and publishing, \nis <strong>100% automated without any human intervention</strong>. It's an interesting experiment conducted by our team, \nand for this purpose, we have developed a complete set of software infrastructure, including data filtering, \nautomatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or \nsuggestions as they are highly valuable to us.</p>\n<h2>Why Can't the Desired Character Outfits Be Accurately Generated</h2>\n<p>Our current training data is sourced from various image websites, and for a fully automated pipeline, \nit's challenging to accurately predict which official images a character possesses. \nConsequently, outfit generation relies on clustering based on labels from the training dataset \nin an attempt to achieve the best possible recreation. We will continue to address this issue and attempt \noptimization, but it remains a challenge that cannot be completely resolved. The accuracy of outfit \nrecreation is also unlikely to match the level achieved by manually trained models.</p>\n<p>In fact, this model's greatest strengths lie in recreating the inherent characteristics of the characters \nthemselves and its relatively strong generalization capabilities, owing to its larger dataset. \nAs such, <strong>this model is well-suited for tasks such as changing outfits, posing characters, and, \nof course, generating NSFW images of characters!</strong>\ud83d\ude09\".</p>\n<p>For the following groups, it is not recommended to use this model and we express regret:</p>\n<ol>\n<li>Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.</li>\n<li>Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.</li>\n<li>Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.</li>\n<li>Individuals who are not comfortable with the fully automated process of training character models using LoRA, or those who believe that training character models must be done purely through manual operations to avoid disrespecting the characters.</li>\n<li>Individuals who finds the generated image content offensive to their values.</li>\n</ol>",
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"model": {
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"name": "Rhantolk Ytri Historia/\u30e9\u30fc\u30f3\u30c8\u30eb\u30af\u30fb\u30a4\u30c4\u30ea\u30fb\u30d2\u30b9\u30c8\u30ea\u30a2 (Shuumatsu Nani Shitemasu ka? Isogashii desu ka?)",
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"description": "<ul>\n<li><strong><span style=\"color:#fa5252\">THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!</span></strong></li>\n<li><strong>The associated trigger words are only for reference, it may need to be adjusted at some times</strong>.</li>\n<li>The recommended weight for the embedding model is 1, which provides higher fidelity; if greater generalization is required, it can be lowered to 0.5. </li>\n<li>The recommended weight for the LoRA model is 0.85; if there's evidence of contamination, consider lowering it to 0.6.</li>\n</ul>\n<h2>How to Use This Model</h2>\n<p><strong><span style=\"color:#fa5252\">THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!</span></strong>. \nIn this case, you need to download both <code>rhantolk_sukasuka.pt</code> and \n<code>rhantolk_sukasuka.safetensors</code>, then <strong>use <code>rhantolk_sukasuka.pt</code> as texture inversion embedding, and use\n<code>rhantolk_sukasuka.safetensors</code> as LoRA at the same time</strong>.</p>\n<p><strong><span style=\"color:#fa5252\">\u3053\u306e\u30e2\u30c7\u30eb\u306b\u306f2\u3064\u306e\u30d5\u30a1\u30a4\u30eb\u304c\u3042\u308a\u307e\u3059\u3002\u4e00\u7dd2\u306b\u4f7f\u3046\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\uff01\uff01\uff01</span></strong>\u3002\n\u3053\u306e\u5834\u5408\u3001<code>rhantolk_sukasuka.pt</code>\u3068<code>rhantolk_sukasuka.safetensors</code>\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<code>rhantolk_sukasuka.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>rhantolk_sukasuka.safetensors</code>\u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002</p>\n<p><strong><span style=\"color:#fa5252\">\u8fd9\u4e2a\u6a21\u578b\u6709\u4e24\u4e2a\u6587\u4ef6\u3002\u4f60\u9700\u8981\u540c\u65f6\u4f7f\u7528\u5b83\u4eec\uff01\uff01\uff01</span></strong>\u3002\n\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u9700\u8981\u4e0b\u8f7d<code>rhantolk_sukasuka.pt</code>\u548c<code>rhantolk_sukasuka.safetensors</code>\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06<code>rhantolk_sukasuka.pt</code>\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528<code>rhantolk_sukasuka.safetensors</code>\u4f5c\u4e3aLoRA\u3002</p>\n<p><strong><span style=\"color:#fa5252\">\uc774 \ubaa8\ub378\uc740 \ub450 \uac1c\uc758 \ud30c\uc77c\uc774 \uc788\uc2b5\ub2c8\ub2e4. \ub450 \ud30c\uc77c\uc744 \ud568\uaed8 \uc0ac\uc6a9\ud574\uc57c \ud569\ub2c8\ub2e4!!!</span></strong>. \n\uc774 \uacbd\uc6b0\uc5d0\ub294 <code>rhantolk_sukasuka.pt</code>\uc640 <code>rhantolk_sukasuka.safetensors</code> \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 <strong><code>rhantolk_sukasuka.pt</code>\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 <code>rhantolk_sukasuka.safetensors</code>\uc744 LoRA\ub85c \uc0ac\uc6a9\ud558\uc154\uc57c \ud569\ub2c8\ub2e4</strong>.</p>\n<p>(Translated with ChatGPT)</p>\n<p>The trigger word is <code>rhantolk_sukasuka</code>, and the recommended tags are <code>best quality, masterpiece, highres, solo, {rhantolk_sukasuka:1.15}, long_hair, blue_hair, bangs, blue_eyes, hat</code>.</p>\n<h2>How This Model Is Trained</h2>\n<p>This model is trained with <a href=\"https://github.com/7eu7d7/HCP-Diffusion\" rel=\"ugc\">HCP-Diffusion</a>. \nAnd the auto-training framework is maintained by <a href=\"https://huggingface.co/deepghs\" rel=\"ugc\">DeepGHS Team</a>.</p>\n<h2>Why Some Preview Images Not Look Like Rhantolk Sukasuka</h2>\n<p><strong>All the prompt texts</strong> used on the preview images (which can be viewed by clicking on the images) \n<strong>are automatically generated using clustering algorithms</strong> based on feature information extracted from the \ntraining dataset. The seed used during image generation is also randomly generated, and the images have \nnot undergone any selection or modification. As a result, there is a possibility of the mentioned \nissues occurring.</p>\n<p>In practice, based on our internal testing, most models that experience such issues perform better in \nactual usage than what is seen in the preview images. <strong>The only thing you may need to do is adjusting \nthe tags you are using</strong>.</p>\n<h2>I Felt This Model May Be Overfitting or Underfitting, What Shall I Do</h2>\n<p>Our model has been published on <a href=\"https://huggingface.co/CyberHarem/rhantolk_sukasuka\" rel=\"ugc\">huggingface repository - CyberHarem/rhantolk_sukasuka</a>, where\nmodels of all the steps are saved. Also, we published the training dataset on \n<a href=\"https://huggingface.co/datasets/CyberHarem/rhantolk_sukasuka\" rel=\"ugc\">huggingface dataset - CyberHarem/rhantolk_sukasuka</a>, which may be helpful to you.</p>\n<h2>Why Not Just Using The Better-Selected Images</h2>\n<p>Our model's entire process, from data crawling, training, to generating preview images and publishing, \nis <strong>100% automated without any human intervention</strong>. It's an interesting experiment conducted by our team, \nand for this purpose, we have developed a complete set of software infrastructure, including data filtering, \nautomatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or \nsuggestions as they are highly valuable to us.</p>\n<h2>Why Can't the Desired Character Outfits Be Accurately Generated</h2>\n<p>Our current training data is sourced from various image websites, and for a fully automated pipeline, \nit's challenging to accurately predict which official images a character possesses. \nConsequently, outfit generation relies on clustering based on labels from the training dataset \nin an attempt to achieve the best possible recreation. We will continue to address this issue and attempt \noptimization, but it remains a challenge that cannot be completely resolved. The accuracy of outfit \nrecreation is also unlikely to match the level achieved by manually trained models.</p>\n<p>In fact, this model's greatest strengths lie in recreating the inherent characteristics of the characters \nthemselves and its relatively strong generalization capabilities, owing to its larger dataset. \nAs such, <strong>this model is well-suited for tasks such as changing outfits, posing characters, and, \nof course, generating NSFW images of characters!</strong>\ud83d\ude09\".</p>\n<p>For the following groups, it is not recommended to use this model and we express regret:</p>\n<ol>\n<li>Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.</li>\n<li>Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.</li>\n<li>Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.</li>\n<li>Individuals who are not comfortable with the fully automated process of training character models using LoRA, or those who believe that training character models must be done purely through manual operations to avoid disrespecting the characters.</li>\n<li>Individuals who finds the generated image content offensive to their values.</li>\n</ol>",
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"name": "Tiat Siba Ignareo/\u30c6\u30a3\u30a2\u30c3\u30c8\u30fb\u30b7\u30d0\u30fb\u30a4\u30b0\u30ca\u30ec\u30aa (Shuumatsu Nani Shitemasu ka? Isogashii desu ka?)",
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"description": "<ul>\n<li><strong><span style=\"color:#fa5252\">THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!</span></strong></li>\n<li><strong>The associated trigger words are only for reference, it may need to be adjusted at some times</strong>.</li>\n<li>The recommended weight for the embedding model is 1, which provides higher fidelity; if greater generalization is required, it can be lowered to 0.5. </li>\n<li>The recommended weight for the LoRA model is 0.85; if there's evidence of contamination, consider lowering it to 0.6.</li>\n</ul>\n<h2>How to Use This Model</h2>\n<p><strong><span style=\"color:#fa5252\">THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!</span></strong>. \nIn this case, you need to download both <code>tiat_sukasuka.pt</code> and \n<code>tiat_sukasuka.safetensors</code>, then <strong>use <code>tiat_sukasuka.pt</code> as texture inversion embedding, and use\n<code>tiat_sukasuka.safetensors</code> as LoRA at the same time</strong>.</p>\n<p><strong><span style=\"color:#fa5252\">\u3053\u306e\u30e2\u30c7\u30eb\u306b\u306f2\u3064\u306e\u30d5\u30a1\u30a4\u30eb\u304c\u3042\u308a\u307e\u3059\u3002\u4e00\u7dd2\u306b\u4f7f\u3046\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\uff01\uff01\uff01</span></strong>\u3002\n\u3053\u306e\u5834\u5408\u3001<code>tiat_sukasuka.pt</code>\u3068<code>tiat_sukasuka.safetensors</code>\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002<code>tiat_sukasuka.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>tiat_sukasuka.safetensors</code>\u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002</p>\n<p><strong><span style=\"color:#fa5252\">\u8fd9\u4e2a\u6a21\u578b\u6709\u4e24\u4e2a\u6587\u4ef6\u3002\u4f60\u9700\u8981\u540c\u65f6\u4f7f\u7528\u5b83\u4eec\uff01\uff01\uff01</span></strong>\u3002\n\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u9700\u8981\u4e0b\u8f7d<code>tiat_sukasuka.pt</code>\u548c<code>tiat_sukasuka.safetensors</code>\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06<code>tiat_sukasuka.pt</code>\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528<code>tiat_sukasuka.safetensors</code>\u4f5c\u4e3aLoRA\u3002</p>\n<p><strong><span style=\"color:#fa5252\">\uc774 \ubaa8\ub378\uc740 \ub450 \uac1c\uc758 \ud30c\uc77c\uc774 \uc788\uc2b5\ub2c8\ub2e4. \ub450 \ud30c\uc77c\uc744 \ud568\uaed8 \uc0ac\uc6a9\ud574\uc57c \ud569\ub2c8\ub2e4!!!</span></strong>. \n\uc774 \uacbd\uc6b0\uc5d0\ub294 <code>tiat_sukasuka.pt</code>\uc640 <code>tiat_sukasuka.safetensors</code> \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 <strong><code>tiat_sukasuka.pt</code>\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 <code>tiat_sukasuka.safetensors</code>\uc744 LoRA\ub85c \uc0ac\uc6a9\ud558\uc154\uc57c \ud569\ub2c8\ub2e4</strong>.</p>\n<p>(Translated with ChatGPT)</p>\n<p>The trigger word is <code>tiat_sukasuka</code>, and the recommended tags are <code>best quality, masterpiece, highres, solo, {tiat_sukasuka:1.15}, green_hair, green_eyes, short_hair, open_mouth</code>.</p>\n<h2>How This Model Is Trained</h2>\n<p>This model is trained with <a href=\"https://github.com/7eu7d7/HCP-Diffusion\" rel=\"ugc\">HCP-Diffusion</a>. \nAnd the auto-training framework is maintained by <a href=\"https://huggingface.co/deepghs\" rel=\"ugc\">DeepGHS Team</a>.</p>\n<h2>Why Some Preview Images Not Look Like Tiat Sukasuka</h2>\n<p><strong>All the prompt texts</strong> used on the preview images (which can be viewed by clicking on the images) \n<strong>are automatically generated using clustering algorithms</strong> based on feature information extracted from the \ntraining dataset. The seed used during image generation is also randomly generated, and the images have \nnot undergone any selection or modification. As a result, there is a possibility of the mentioned \nissues occurring.</p>\n<p>In practice, based on our internal testing, most models that experience such issues perform better in \nactual usage than what is seen in the preview images. <strong>The only thing you may need to do is adjusting \nthe tags you are using</strong>.</p>\n<h2>I Felt This Model May Be Overfitting or Underfitting, What Shall I Do</h2>\n<p>Our model has been published on <a href=\"https://huggingface.co/CyberHarem/tiat_sukasuka\" rel=\"ugc\">huggingface repository - CyberHarem/tiat_sukasuka</a>, where\nmodels of all the steps are saved. Also, we published the training dataset on \n<a href=\"https://huggingface.co/datasets/CyberHarem/tiat_sukasuka\" rel=\"ugc\">huggingface dataset - CyberHarem/tiat_sukasuka</a>, which may be helpful to you.</p>\n<h2>Why Not Just Using The Better-Selected Images</h2>\n<p>Our model's entire process, from data crawling, training, to generating preview images and publishing, \nis <strong>100% automated without any human intervention</strong>. It's an interesting experiment conducted by our team, \nand for this purpose, we have developed a complete set of software infrastructure, including data filtering, \nautomatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or \nsuggestions as they are highly valuable to us.</p>\n<h2>Why Can't the Desired Character Outfits Be Accurately Generated</h2>\n<p>Our current training data is sourced from various image websites, and for a fully automated pipeline, \nit's challenging to accurately predict which official images a character possesses. \nConsequently, outfit generation relies on clustering based on labels from the training dataset \nin an attempt to achieve the best possible recreation. We will continue to address this issue and attempt \noptimization, but it remains a challenge that cannot be completely resolved. The accuracy of outfit \nrecreation is also unlikely to match the level achieved by manually trained models.</p>\n<p>In fact, this model's greatest strengths lie in recreating the inherent characteristics of the characters \nthemselves and its relatively strong generalization capabilities, owing to its larger dataset. \nAs such, <strong>this model is well-suited for tasks such as changing outfits, posing characters, and, \nof course, generating NSFW images of characters!</strong>\ud83d\ude09\".</p>\n<p>For the following groups, it is not recommended to use this model and we express regret:</p>\n<ol>\n<li>Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.</li>\n<li>Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.</li>\n<li>Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.</li>\n<li>Individuals who are not comfortable with the fully automated process of training character models using LoRA, or those who believe that training character models must be done purely through manual operations to avoid disrespecting the characters.</li>\n<li>Individuals who finds the generated image content offensive to their values.</li>\n</ol>",
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ADDED
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A-表番角色/末日时在做什么?有没有空?可以来拯救吗?/tiat_sukasuka.safetensors
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A-表番角色/欢迎来到实力至上主义的教室/kushida_kikyo_v1.civitai.info
ADDED
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1 |
+
{
|
2 |
+
"id": 149347,
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3 |
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4 |
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5 |
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6 |
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7 |
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"trainedWords": [
|
8 |
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"aakikyo, short hair, hair intakes, white hairband, blue bowtie, shirt, blazer, red jacket, long sleeves, white skirt, pleated skirt, black socks"
|
9 |
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],
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10 |
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18 |
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19 |
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20 |
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},
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21 |
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"model": {
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22 |
+
"name": "Kushida Kikyou \u6adb\u7530\u6854\u6897 / Youkoso Jitsuryoku Shijou Shugi no Kyoushitsu e",
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23 |
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"type": "LORA",
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24 |
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"nsfw": false,
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25 |
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26 |
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"description": "<p>weight <strong>0.7</strong> is best.<br /><span style=\"color:rgb(193, 194, 197)\">I created this LoRA as requested.</span></p><h3 id=\"heading-16\">Please read the description.</h3><p></p><p><img src=\"https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/78d33779-ecc0-40bd-966f-a29779021594/width=525/78d33779-ecc0-40bd-966f-a29779021594.jpeg\" /><br />outfit1<br /><code>aakikyo, short hair, hair intakes, white hairband, blue bowtie, shirt, blazer, red jacket, long sleeves, white skirt, pleated skirt, black socks</code></p><p></p><p><span style=\"color:rgb(193, 194, 197)\">I uploaded a sample image of the outfit as a post.</span></p><p></p>",
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27 |
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"tags": [
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28 |
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"anime",
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29 |
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"character",
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30 |
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"anime character",
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31 |
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32 |
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"anime girl",
|
33 |
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"lora",
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34 |
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"kushida kikyou",
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35 |
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36 |
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],
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},
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55 |
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{
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101 |
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"weight": 0.7
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102 |
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},
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103 |
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{
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104 |
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"hash": "f713bab753",
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"type": "model"
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108 |
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],
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"\"kushida_kikyo_v1": "c6ee71dfc8b9\"",
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}
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},
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{
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149 |
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"weight": 0.7
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150 |
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},
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151 |
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{
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{
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171 |
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"hash": "UKHx7[0L0JxbNWWBbus;?sxG9Gbw~o9a$*jc",
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"type": "image",
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199 |
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{
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200 |
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201 |
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"width": 1024,
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|
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"hash": "UJIzn{$%Eext9t~BNa%1?a%fs;xF.7t7Rjof",
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