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A-表番角色/咲-Saki-/haramura_nodoka_lora_ver1.civitai.info

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+    "updatedAt": "2024-01-10T04:54:30.348Z",
+    "status": "Published",
+    "publishedAt": "2024-01-10T04:54:30.347Z",
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A-表番角色/咲-Saki-/haramura_nodoka_lora_ver1.safetensors

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A-表番角色/天使降临到我身边！/hana_shirosaki_watashinitenshigamaiorita.civitai.info

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+    "modelId": 257538,
+    "name": "v1.4.1",
+    "createdAt": "2024-01-07T21:15:46.421Z",
+    "updatedAt": "2024-01-07T21:17:11.394Z",
+    "status": "Published",
+    "publishedAt": "2024-01-16T22:00:00.000Z",
+    "trainedWords": [
+        "hana_shirosaki_watashinitenshigamaiorita",
+        "black_hair, long_hair, bangs, blush, blue_eyes, hair_between_eyes, hair_ornament, closed_mouth, flower, hair_flower, pink_flower"
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+    "description": "<!--\n\n-->",
+    "stats": {
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+        "rating": 5
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+    "model": {
+        "name": "Hana Shirosaki (Watashi ni Tenshi ga Maiorita!)",
+        "type": "LORA",
+        "nsfw": false,
+        "poi": false,
+        "description": "<!--\n* Thanks to Civitai's bewildering and frustrating TOS, some images may be hidden. THE FULL PREVIEW IMAGES CAN BE FOUND ON HUGGINGFACE.\n* THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!\n* The associated trigger words are only for reference, it may need to be adjusted at some times.\n* 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. \n* The recommended weight for the LoRA model is 0.85; if there's evidence of contamination, consider lowering it to 0.5.\n* 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. What you see is what you get.\n* No specialized training was done for outfits. You can check our provided preview post to get the prompts corresponding to the outfits.\n\n\nHow to Use This Model\n\nTHIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!. \nIn this case, you need to download both `hana_shirosaki_watashinitenshigamaiorita.pt` and \n`hana_shirosaki_watashinitenshigamaiorita.safetensors`, then use `hana_shirosaki_watashinitenshigamaiorita.pt` as texture inversion embedding, and use\n`hana_shirosaki_watashinitenshigamaiorita.safetensors` as LoRA at the same time.\n\n\n\n\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\u3002\n\u3053\u306e\u5834\u5408\u3001`hana_shirosaki_watashinitenshigamaiorita.pt`\u3068`hana_shirosaki_watashinitenshigamaiorita.safetensors`\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002`hana_shirosaki_watashinitenshigamaiorita.pt`\u3092\u30c6\u30af\u30b9\u30c1\u30e3\u53cd\u8ee2\u57cb\u3081\u8fbc\u307f\u3068\u3057\u3066\u4f7f\u7528\u3057\u3001\u540c\u6642\u306b`hana_shirosaki_watashinitenshigamaiorita.safetensors`\u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002\n\n\n\n\u8fd9\u4e2a\u6a21\u578b\u6709\u4e24\u4e2a\u6587\u4ef6\u3002\u4f60\u9700\u8981\u540c\u65f6\u4f7f\u7528\u5b83\u4eec\uff01\uff01\uff01\u3002\n\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u9700\u8981\u4e0b\u8f7d`hana_shirosaki_watashinitenshigamaiorita.pt`\u548c`hana_shirosaki_watashinitenshigamaiorita.safetensors`\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06`hana_shirosaki_watashinitenshigamaiorita.pt`\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528`hana_shirosaki_watashinitenshigamaiorita.safetensors`\u4f5c\u4e3aLoRA\u3002\n\n\n\n\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!!!. \n\uc774 \uacbd\uc6b0\uc5d0\ub294 `hana_shirosaki_watashinitenshigamaiorita.pt`\uc640 `hana_shirosaki_watashinitenshigamaiorita.safetensors` \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 `hana_shirosaki_watashinitenshigamaiorita.pt`\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 `hana_shirosaki_watashinitenshigamaiorita.safetensors`\uc744 LoRA\ub85c \uc0ac\uc6a9\ud558\uc154\uc57c \ud569\ub2c8\ub2e4.\n\n\n\n(Translated with ChatGPT)\n\n\n\nThe trigger word is `hana_shirosaki_watashinitenshigamaiorita`, and the recommended tags are `best quality, masterpiece, highres, solo, {hana_shirosaki_watashinitenshigamaiorita:1.15}, black_hair, long_hair, bangs, blush, blue_eyes, hair_between_eyes, hair_ornament, closed_mouth, flower, hair_flower, pink_flower`.\n\n\n\nHow This Model Is Trained\n\nThis model is trained with HCP-Diffusion. \nAnd the auto-training framework is maintained by DeepGHS Team.\n\n\n\nWhy Some Preview Images Not Look Like Hana Shirosaki Watashinitenshigamaiorita\n\nAll the prompt texts used on the preview images (which can be viewed by clicking on the images) \nare automatically generated using clustering algorithms based on feature information extracted from the \ntraining dataset. The seed used during image generation is also randomly generated, and the images have \nnot undergone any selection or modification. As a result, there is a possibility of the mentioned \nissues occurring.\n\n\n\nIn practice, based on our internal testing, most models that experience such issues perform better in \nactual usage than what is seen in the preview images. The only thing you may need to do is adjusting \nthe tags you are using.\n\n\n\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do\n\nOur model has been published on huggingface repository - CyberHarem/hanashirosakiwatashinitenshigamaiorita, where\nmodels of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/hanashirosakiwatashinitenshigamaiorita, which may be helpful to you.\n\n\n\nWhy Not Just Using The Better-Selected Images\n\nOur model's entire process, from data crawling, training, to generating preview images and publishing, \nis 100% automated without any human intervention. It's an interesting experiment conducted by our team, \nand for this purpose, we have developed a complete set of software infrastructure, including data filtering, \nautomatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or \nsuggestions as they are highly valuable to us.\n\n\n\nWhy Can't the Desired Character Outfits Be Accurately Generated\n\nOur current training data is sourced from various image websites, and for a fully automated pipeline, \nit's challenging to accurately predict which official images a character possesses. \nConsequently, outfit generation relies on clustering based on labels from the training dataset \nin an attempt to achieve the best possible recreation. We will continue to address this issue and attempt \noptimization, but it remains a challenge that cannot be completely resolved. The accuracy of outfit \nrecreation is also unlikely to match the level achieved by manually trained models.\n\n\n\nIn fact, this model's greatest strengths lie in recreating the inherent characteristics of the characters \nthemselves and its relatively strong generalization capabilities, owing to its larger dataset. \nAs such, this model is well-suited for tasks such as changing outfits, posing characters, and, \nof course, generating NSFW images of characters!\ud83d\ude09\".\n\n\n\nFor the following groups, it is not recommended to use this model and we express regret:\n\n\n\n\n* Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.\n* Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.\n* Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.\n* Individuals who are not comfortable with the fully automated process of training character models using LoRA, or those who believe that training character models must be done purely through manual operations to avoid disrespecting the characters.\n* Individuals who finds the generated image content offensive to their values.\n-->",
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+            "character",
+            "female",
+            "bangs",
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+            "long hair",
+            "blue eyes",
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+            "flower",
+            "girl\uff0c",
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+            "blush",
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+            "fully automated",
+            "pink flower",
+            "hana shirosaki",
+            "watashinitenshigamaiorita",
+            "watashinitenshigamaiorita hana shirosaki"
+        ],
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A-表番角色/天使降临到我身边！/hana_shirosaki_watashinitenshigamaiorita.safetensors

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A-表番角色/天使降临到我身边！/hinata_hoshino_watashinitenshigamaiorita.civitai.info

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+    },
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+        "name": "Hinata Hoshino (Watashi ni Tenshi ga Maiorita!)",
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You can check our provided preview post to get the prompts corresponding to the outfits.\n\n\nHow to Use This Model\n\nTHIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!. \nIn this case, you need to download both `hinata_hoshino_watashinitenshigamaiorita.pt` and \n`hinata_hoshino_watashinitenshigamaiorita.safetensors`, then use `hinata_hoshino_watashinitenshigamaiorita.pt` as texture inversion embedding, and use\n`hinata_hoshino_watashinitenshigamaiorita.safetensors` as LoRA at the same time.\n\n\n\n\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\u3002\n\u3053\u306e\u5834\u5408\u3001`hinata_hoshino_watashinitenshigamaiorita.pt`\u3068`hinata_hoshino_watashinitenshigamaiorita.safetensors`\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002`hinata_hoshino_watashinitenshigamaiorita.pt`\u3092\u30c6\u30af\u30b9\u30c1\u30e3\u53cd\u8ee2\u57cb\u3081\u8fbc\u307f\u3068\u3057\u3066\u4f7f\u7528\u3057\u3001\u540c\u6642\u306b`hinata_hoshino_watashinitenshigamaiorita.safetensors`\u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002\n\n\n\n\u8fd9\u4e2a\u6a21\u578b\u6709\u4e24\u4e2a\u6587\u4ef6\u3002\u4f60\u9700\u8981\u540c\u65f6\u4f7f\u7528\u5b83\u4eec\uff01\uff01\uff01\u3002\n\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u9700\u8981\u4e0b\u8f7d`hinata_hoshino_watashinitenshigamaiorita.pt`\u548c`hinata_hoshino_watashinitenshigamaiorita.safetensors`\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06`hinata_hoshino_watashinitenshigamaiorita.pt`\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528`hinata_hoshino_watashinitenshigamaiorita.safetensors`\u4f5c\u4e3aLoRA\u3002\n\n\n\n\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!!!. \n\uc774 \uacbd\uc6b0\uc5d0\ub294 `hinata_hoshino_watashinitenshigamaiorita.pt`\uc640 `hinata_hoshino_watashinitenshigamaiorita.safetensors` \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 `hinata_hoshino_watashinitenshigamaiorita.pt`\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 `hinata_hoshino_watashinitenshigamaiorita.safetensors`\uc744 LoRA\ub85c \uc0ac\uc6a9\ud558\uc154\uc57c \ud569\ub2c8\ub2e4.\n\n\n\n(Translated with ChatGPT)\n\n\n\nThe trigger word is `hinata_hoshino_watashinitenshigamaiorita`, and the recommended tags are `best quality, masterpiece, highres, solo, {hinata_hoshino_watashinitenshigamaiorita:1.15}, brown_hair, blush, bangs, red_eyes, short_hair, closed_mouth, smile, female_child, one_side_up, hair_between_eyes, indoors`.\n\n\n\nHow This Model Is Trained\n\nThis model is trained with HCP-Diffusion. \nAnd the auto-training framework is maintained by DeepGHS Team.\n\n\n\nWhy Some Preview Images Not Look Like Hinata Hoshino Watashinitenshigamaiorita\n\nAll the prompt texts used on the preview images (which can be viewed by clicking on the images) \nare automatically generated using clustering algorithms based on feature information extracted from the \ntraining dataset. The seed used during image generation is also randomly generated, and the images have \nnot undergone any selection or modification. As a result, there is a possibility of the mentioned \nissues occurring.\n\n\n\nIn practice, based on our internal testing, most models that experience such issues perform better in \nactual usage than what is seen in the preview images. The only thing you may need to do is adjusting \nthe tags you are using.\n\n\n\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do\n\nOur model has been published on huggingface repository - CyberHarem/hinatahoshinowatashinitenshigamaiorita, where\nmodels of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/hinatahoshinowatashinitenshigamaiorita, which may be helpful to you.\n\n\n\nWhy Not Just Using The Better-Selected Images\n\nOur model's entire process, from data crawling, training, to generating preview images and publishing, \nis 100% automated without any human intervention. It's an interesting experiment conducted by our team, \nand for this purpose, we have developed a complete set of software infrastructure, including data filtering, \nautomatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or \nsuggestions as they are highly valuable to us.\n\n\n\nWhy Can't the Desired Character Outfits Be Accurately Generated\n\nOur current training data is sourced from various image websites, and for a fully automated pipeline, \nit's challenging to accurately predict which official images a character possesses. \nConsequently, outfit generation relies on clustering based on labels from the training dataset \nin an attempt to achieve the best possible recreation. We will continue to address this issue and attempt \noptimization, but it remains a challenge that cannot be completely resolved. The accuracy of outfit \nrecreation is also unlikely to match the level achieved by manually trained models.\n\n\n\nIn fact, this model's greatest strengths lie in recreating the inherent characteristics of the characters \nthemselves and its relatively strong generalization capabilities, owing to its larger dataset. \nAs such, this model is well-suited for tasks such as changing outfits, posing characters, and, \nof course, generating NSFW images of characters!\ud83d\ude09\".\n\n\n\nFor the following groups, it is not recommended to use this model and we express regret:\n\n\n\n\n* Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.\n* Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.\n* Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.\n* Individuals who are not comfortable with the fully automated process of training character models using LoRA, or those who believe that training character models must be done purely through manual operations to avoid disrespecting the characters.\n* Individuals who finds the generated image content offensive to their values.\n-->",
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A-表番角色/天使降临到我身边！/hinata_hoshino_watashinitenshigamaiorita.safetensors

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A-表番角色/天使降临到我身边！/kanon_konomori_watashinitenshigamaiorita.civitai.info

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+        "description": "<!--\n* Thanks to Civitai's bewildering and frustrating TOS, some images may be hidden. THE FULL PREVIEW IMAGES CAN BE FOUND ON HUGGINGFACE.\n* THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!\n* The associated trigger words are only for reference, it may need to be adjusted at some times.\n* 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. \n* The recommended weight for the LoRA model is 0.85; if there's evidence of contamination, consider lowering it to 0.5.\n* 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. What you see is what you get.\n* No specialized training was done for outfits. You can check our provided preview post to get the prompts corresponding to the outfits.\n\n\nHow to Use This Model\n\nTHIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!. \nIn this case, you need to download both `kanon_konomori_watashinitenshigamaiorita.pt` and \n`kanon_konomori_watashinitenshigamaiorita.safetensors`, then use `kanon_konomori_watashinitenshigamaiorita.pt` as texture inversion embedding, and use\n`kanon_konomori_watashinitenshigamaiorita.safetensors` as LoRA at the same time.\n\n\n\n\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\u3002\n\u3053\u306e\u5834\u5408\u3001`kanon_konomori_watashinitenshigamaiorita.pt`\u3068`kanon_konomori_watashinitenshigamaiorita.safetensors`\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002`kanon_konomori_watashinitenshigamaiorita.pt`\u3092\u30c6\u30af\u30b9\u30c1\u30e3\u53cd\u8ee2\u57cb\u3081\u8fbc\u307f\u3068\u3057\u3066\u4f7f\u7528\u3057\u3001\u540c\u6642\u306b`kanon_konomori_watashinitenshigamaiorita.safetensors`\u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002\n\n\n\n\u8fd9\u4e2a\u6a21\u578b\u6709\u4e24\u4e2a\u6587\u4ef6\u3002\u4f60\u9700\u8981\u540c\u65f6\u4f7f\u7528\u5b83\u4eec\uff01\uff01\uff01\u3002\n\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u9700\u8981\u4e0b\u8f7d`kanon_konomori_watashinitenshigamaiorita.pt`\u548c`kanon_konomori_watashinitenshigamaiorita.safetensors`\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06`kanon_konomori_watashinitenshigamaiorita.pt`\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528`kanon_konomori_watashinitenshigamaiorita.safetensors`\u4f5c\u4e3aLoRA\u3002\n\n\n\n\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!!!. \n\uc774 \uacbd\uc6b0\uc5d0\ub294 `kanon_konomori_watashinitenshigamaiorita.pt`\uc640 `kanon_konomori_watashinitenshigamaiorita.safetensors` \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 `kanon_konomori_watashinitenshigamaiorita.pt`\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 `kanon_konomori_watashinitenshigamaiorita.safetensors`\uc744 LoRA\ub85c \uc0ac\uc6a9\ud558\uc154\uc57c \ud569\ub2c8\ub2e4.\n\n\n\n(Translated with ChatGPT)\n\n\n\nThe trigger word is `kanon_konomori_watashinitenshigamaiorita`, and the recommended tags are `best quality, masterpiece, highres, solo, {kanon_konomori_watashinitenshigamaiorita:1.15}, blush, brown_hair, smile, short_hair, ahoge, bangs, brown_eyes, closed_mouth, closed_eyes`.\n\n\n\nHow This Model Is Trained\n\nThis model is trained with HCP-Diffusion. \nAnd the auto-training framework is maintained by DeepGHS Team.\n\n\n\nWhy Some Preview Images Not Look Like Kanon Konomori Watashinitenshigamaiorita\n\nAll the prompt texts used on the preview images (which can be viewed by clicking on the images) \nare automatically generated using clustering algorithms based on feature information extracted from the \ntraining dataset. The seed used during image generation is also randomly generated, and the images have \nnot undergone any selection or modification. As a result, there is a possibility of the mentioned \nissues occurring.\n\n\n\nIn practice, based on our internal testing, most models that experience such issues perform better in \nactual usage than what is seen in the preview images. The only thing you may need to do is adjusting \nthe tags you are using.\n\n\n\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do\n\nOur model has been published on huggingface repository - CyberHarem/kanonkonomoriwatashinitenshigamaiorita, where\nmodels of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/kanonkonomoriwatashinitenshigamaiorita, which may be helpful to you.\n\n\n\nWhy Not Just Using The Better-Selected Images\n\nOur model's entire process, from data crawling, training, to generating preview images and publishing, \nis 100% automated without any human intervention. It's an interesting experiment conducted by our team, \nand for this purpose, we have developed a complete set of software infrastructure, including data filtering, \nautomatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or \nsuggestions as they are highly valuable to us.\n\n\n\nWhy Can't the Desired Character Outfits Be Accurately Generated\n\nOur current training data is sourced from various image websites, and for a fully automated pipeline, \nit's challenging to accurately predict which official images a character possesses. \nConsequently, outfit generation relies on clustering based on labels from the training dataset \nin an attempt to achieve the best possible recreation. We will continue to address this issue and attempt \noptimization, but it remains a challenge that cannot be completely resolved. The accuracy of outfit \nrecreation is also unlikely to match the level achieved by manually trained models.\n\n\n\nIn fact, this model's greatest strengths lie in recreating the inherent characteristics of the characters \nthemselves and its relatively strong generalization capabilities, owing to its larger dataset. \nAs such, this model is well-suited for tasks such as changing outfits, posing characters, and, \nof course, generating NSFW images of characters!\ud83d\ude09\".\n\n\n\nFor the following groups, it is not recommended to use this model and we express regret:\n\n\n\n\n* Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.\n* Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.\n* Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.\n* Individuals who are not comfortable with the fully automated process of training character models using LoRA, or those who believe that training character models must be done purely through manual operations to avoid disrespecting the characters.\n* Individuals who finds the generated image content offensive to their values.\n-->",
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A-表番角色/天使降临到我身边！/kanon_konomori_watashinitenshigamaiorita.safetensors

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A-表番角色/天使降临到我身边！/koyori_tanemura_watashinitenshigamaiorita.civitai.info

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+    "updatedAt": "2024-01-07T21:45:22.781Z",
+    "status": "Published",
+    "publishedAt": "2024-01-18T22:00:00.000Z",
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+        "name": "Koyori Tanemura (Watashi ni Tenshi ga Maiorita!)",
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+        "description": "<!--\n* Thanks to Civitai's bewildering and frustrating TOS, some images may be hidden. THE FULL PREVIEW IMAGES CAN BE FOUND ON HUGGINGFACE.\n* THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!\n* The associated trigger words are only for reference, it may need to be adjusted at some times.\n* 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. \n* The recommended weight for the LoRA model is 0.85; if there's evidence of contamination, consider lowering it to 0.5.\n* 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. What you see is what you get.\n* No specialized training was done for outfits. You can check our provided preview post to get the prompts corresponding to the outfits.\n\n\nHow to Use This Model\n\nTHIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!. \nIn this case, you need to download both `koyori_tanemura_watashinitenshigamaiorita.pt` and \n`koyori_tanemura_watashinitenshigamaiorita.safetensors`, then use `koyori_tanemura_watashinitenshigamaiorita.pt` as texture inversion embedding, and use\n`koyori_tanemura_watashinitenshigamaiorita.safetensors` as LoRA at the same time.\n\n\n\n\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\u3002\n\u3053\u306e\u5834\u5408\u3001`koyori_tanemura_watashinitenshigamaiorita.pt`\u3068`koyori_tanemura_watashinitenshigamaiorita.safetensors`\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002`koyori_tanemura_watashinitenshigamaiorita.pt`\u3092\u30c6\u30af\u30b9\u30c1\u30e3\u53cd\u8ee2\u57cb\u3081\u8fbc\u307f\u3068\u3057\u3066\u4f7f\u7528\u3057\u3001\u540c\u6642\u306b`koyori_tanemura_watashinitenshigamaiorita.safetensors`\u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002\n\n\n\n\u8fd9\u4e2a\u6a21\u578b\u6709\u4e24\u4e2a\u6587\u4ef6\u3002\u4f60\u9700\u8981\u540c\u65f6\u4f7f\u7528\u5b83\u4eec\uff01\uff01\uff01\u3002\n\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u9700\u8981\u4e0b\u8f7d`koyori_tanemura_watashinitenshigamaiorita.pt`\u548c`koyori_tanemura_watashinitenshigamaiorita.safetensors`\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06`koyori_tanemura_watashinitenshigamaiorita.pt`\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528`koyori_tanemura_watashinitenshigamaiorita.safetensors`\u4f5c\u4e3aLoRA\u3002\n\n\n\n\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!!!. \n\uc774 \uacbd\uc6b0\uc5d0\ub294 `koyori_tanemura_watashinitenshigamaiorita.pt`\uc640 `koyori_tanemura_watashinitenshigamaiorita.safetensors` \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 `koyori_tanemura_watashinitenshigamaiorita.pt`\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 `koyori_tanemura_watashinitenshigamaiorita.safetensors`\uc744 LoRA\ub85c \uc0ac\uc6a9\ud558\uc154\uc57c \ud569\ub2c8\ub2e4.\n\n\n\n(Translated with ChatGPT)\n\n\n\nThe trigger word is `koyori_tanemura_watashinitenshigamaiorita`, and the recommended tags are `best quality, masterpiece, highres, solo, {koyori_tanemura_watashinitenshigamaiorita:1.15}, bangs, blush, long_hair, hair_ornament, x_hair_ornament, twintails, purple_eyes, red_hair, closed_mouth, smile, brown_hair, indoors, very_long_hair`.\n\n\n\nHow This Model Is Trained\n\nThis model is trained with HCP-Diffusion. \nAnd the auto-training framework is maintained by DeepGHS Team.\n\n\n\nWhy Some Preview Images Not Look Like Koyori Tanemura Watashinitenshigamaiorita\n\nAll the prompt texts used on the preview images (which can be viewed by clicking on the images) \nare automatically generated using clustering algorithms based on feature information extracted from the \ntraining dataset. The seed used during image generation is also randomly generated, and the images have \nnot undergone any selection or modification. As a result, there is a possibility of the mentioned \nissues occurring.\n\n\n\nIn practice, based on our internal testing, most models that experience such issues perform better in \nactual usage than what is seen in the preview images. The only thing you may need to do is adjusting \nthe tags you are using.\n\n\n\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do\n\nOur model has been published on huggingface repository - CyberHarem/koyoritanemurawatashinitenshigamaiorita, where\nmodels of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/koyoritanemurawatashinitenshigamaiorita, which may be helpful to you.\n\n\n\nWhy Not Just Using The Better-Selected Images\n\nOur model's entire process, from data crawling, training, to generating preview images and publishing, \nis 100% automated without any human intervention. It's an interesting experiment conducted by our team, \nand for this purpose, we have developed a complete set of software infrastructure, including data filtering, \nautomatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or \nsuggestions as they are highly valuable to us.\n\n\n\nWhy Can't the Desired Character Outfits Be Accurately Generated\n\nOur current training data is sourced from various image websites, and for a fully automated pipeline, \nit's challenging to accurately predict which official images a character possesses. \nConsequently, outfit generation relies on clustering based on labels from the training dataset \nin an attempt to achieve the best possible recreation. We will continue to address this issue and attempt \noptimization, but it remains a challenge that cannot be completely resolved. The accuracy of outfit \nrecreation is also unlikely to match the level achieved by manually trained models.\n\n\n\nIn fact, this model's greatest strengths lie in recreating the inherent characteristics of the characters \nthemselves and its relatively strong generalization capabilities, owing to its larger dataset. \nAs such, this model is well-suited for tasks such as changing outfits, posing characters, and, \nof course, generating NSFW images of characters!\ud83d\ude09\".\n\n\n\nFor the following groups, it is not recommended to use this model and we express regret:\n\n\n\n\n* Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.\n* Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.\n* Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.\n* Individuals who are not comfortable with the fully automated process of training character models using LoRA, or those who believe that training character models must be done purely through manual operations to avoid disrespecting the characters.\n* Individuals who finds the generated image content offensive to their values.\n-->",
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A-表番角色/天使降临到我身边！/koyori_tanemura_watashinitenshigamaiorita.safetensors

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A-表番角色/天使降临到我身边！/miyako_hoshino_watashinitenshigamaiorita.civitai.info

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+    "status": "Published",
+    "publishedAt": "2024-01-13T22:00:00.000Z",
+    "trainedWords": [
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+        "brown_hair, short_hair, blush, hair_over_one_eye, red_eyes, bangs, closed_mouth"
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+        "name": "Miyako Hoshino (Watashi ni Tenshi ga Maiorita!)",
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You can check our provided preview post to get the prompts corresponding to the outfits.\n\n\nHow to Use This Model\n\nTHIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!. \nIn this case, you need to download both `miyako_hoshino_watashinitenshigamaiorita.pt` and \n`miyako_hoshino_watashinitenshigamaiorita.safetensors`, then use `miyako_hoshino_watashinitenshigamaiorita.pt` as texture inversion embedding, and use\n`miyako_hoshino_watashinitenshigamaiorita.safetensors` as LoRA at the same time.\n\n\n\n\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\u3002\n\u3053\u306e\u5834\u5408\u3001`miyako_hoshino_watashinitenshigamaiorita.pt`\u3068`miyako_hoshino_watashinitenshigamaiorita.safetensors`\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002`miyako_hoshino_watashinitenshigamaiorita.pt`\u3092\u30c6\u30af\u30b9\u30c1\u30e3\u53cd\u8ee2\u57cb\u3081\u8fbc\u307f\u3068\u3057\u3066\u4f7f\u7528\u3057\u3001\u540c\u6642\u306b`miyako_hoshino_watashinitenshigamaiorita.safetensors`\u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002\n\n\n\n\u8fd9\u4e2a\u6a21\u578b\u6709\u4e24\u4e2a\u6587\u4ef6\u3002\u4f60\u9700\u8981\u540c\u65f6\u4f7f\u7528\u5b83\u4eec\uff01\uff01\uff01\u3002\n\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u9700\u8981\u4e0b\u8f7d`miyako_hoshino_watashinitenshigamaiorita.pt`\u548c`miyako_hoshino_watashinitenshigamaiorita.safetensors`\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06`miyako_hoshino_watashinitenshigamaiorita.pt`\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528`miyako_hoshino_watashinitenshigamaiorita.safetensors`\u4f5c\u4e3aLoRA\u3002\n\n\n\n\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!!!. \n\uc774 \uacbd\uc6b0\uc5d0\ub294 `miyako_hoshino_watashinitenshigamaiorita.pt`\uc640 `miyako_hoshino_watashinitenshigamaiorita.safetensors` \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 `miyako_hoshino_watashinitenshigamaiorita.pt`\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 `miyako_hoshino_watashinitenshigamaiorita.safetensors`\uc744 LoRA\ub85c \uc0ac\uc6a9\ud558\uc154\uc57c \ud569\ub2c8\ub2e4.\n\n\n\n(Translated with ChatGPT)\n\n\n\nThe trigger word is `miyako_hoshino_watashinitenshigamaiorita`, and the recommended tags are `best quality, masterpiece, highres, solo, {miyako_hoshino_watashinitenshigamaiorita:1.15}, brown_hair, short_hair, blush, hair_over_one_eye, red_eyes, bangs, closed_mouth`.\n\n\n\nHow This Model Is Trained\n\nThis model is trained with HCP-Diffusion. \nAnd the auto-training framework is maintained by DeepGHS Team.\n\n\n\nWhy Some Preview Images Not Look Like Miyako Hoshino Watashinitenshigamaiorita\n\nAll the prompt texts used on the preview images (which can be viewed by clicking on the images) \nare automatically generated using clustering algorithms based on feature information extracted from the \ntraining dataset. The seed used during image generation is also randomly generated, and the images have \nnot undergone any selection or modification. As a result, there is a possibility of the mentioned \nissues occurring.\n\n\n\nIn practice, based on our internal testing, most models that experience such issues perform better in \nactual usage than what is seen in the preview images. The only thing you may need to do is adjusting \nthe tags you are using.\n\n\n\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do\n\nOur model has been published on huggingface repository - CyberHarem/miyakohoshinowatashinitenshigamaiorita, where\nmodels of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/miyakohoshinowatashinitenshigamaiorita, which may be helpful to you.\n\n\n\nWhy Not Just Using The Better-Selected Images\n\nOur model's entire process, from data crawling, training, to generating preview images and publishing, \nis 100% automated without any human intervention. It's an interesting experiment conducted by our team, \nand for this purpose, we have developed a complete set of software infrastructure, including data filtering, \nautomatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or \nsuggestions as they are highly valuable to us.\n\n\n\nWhy Can't the Desired Character Outfits Be Accurately Generated\n\nOur current training data is sourced from various image websites, and for a fully automated pipeline, \nit's challenging to accurately predict which official images a character possesses. \nConsequently, outfit generation relies on clustering based on labels from the training dataset \nin an attempt to achieve the best possible recreation. We will continue to address this issue and attempt \noptimization, but it remains a challenge that cannot be completely resolved. The accuracy of outfit \nrecreation is also unlikely to match the level achieved by manually trained models.\n\n\n\nIn fact, this model's greatest strengths lie in recreating the inherent characteristics of the characters \nthemselves and its relatively strong generalization capabilities, owing to its larger dataset. \nAs such, this model is well-suited for tasks such as changing outfits, posing characters, and, \nof course, generating NSFW images of characters!\ud83d\ude09\".\n\n\n\nFor the following groups, it is not recommended to use this model and we express regret:\n\n\n\n\n* Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.\n* Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.\n* Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.\n* Individuals who are not comfortable with the fully automated process of training character models using LoRA, or those who believe that training character models must be done purely through manual operations to avoid disrespecting the characters.\n* Individuals who finds the generated image content offensive to their values.\n-->",
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A-表番角色/天使降临到我身边！/miyako_hoshino_watashinitenshigamaiorita.safetensors

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A-表番角色/天使降临到我身边！/noa_himesaka_watashinitenshigamaiorita.civitai.info

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+    "updatedAt": "2024-01-07T20:59:50.494Z",
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+    "trainedWords": [
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+        "description": "<!--\n* Thanks to Civitai's bewildering and frustrating TOS, some images may be hidden. THE FULL PREVIEW IMAGES CAN BE FOUND ON HUGGINGFACE.\n* THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!\n* The associated trigger words are only for reference, it may need to be adjusted at some times.\n* 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. \n* The recommended weight for the LoRA model is 0.85; if there's evidence of contamination, consider lowering it to 0.5.\n* 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. What you see is what you get.\n* No specialized training was done for outfits. You can check our provided preview post to get the prompts corresponding to the outfits.\n\n\nHow to Use This Model\n\nTHIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!. \nIn this case, you need to download both `noa_himesaka_watashinitenshigamaiorita.pt` and \n`noa_himesaka_watashinitenshigamaiorita.safetensors`, then use `noa_himesaka_watashinitenshigamaiorita.pt` as texture inversion embedding, and use\n`noa_himesaka_watashinitenshigamaiorita.safetensors` as LoRA at the same time.\n\n\n\n\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\u3002\n\u3053\u306e\u5834\u5408\u3001`noa_himesaka_watashinitenshigamaiorita.pt`\u3068`noa_himesaka_watashinitenshigamaiorita.safetensors`\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002`noa_himesaka_watashinitenshigamaiorita.pt`\u3092\u30c6\u30af\u30b9\u30c1\u30e3\u53cd\u8ee2\u57cb\u3081\u8fbc\u307f\u3068\u3057\u3066\u4f7f\u7528\u3057\u3001\u540c\u6642\u306b`noa_himesaka_watashinitenshigamaiorita.safetensors`\u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002\n\n\n\n\u8fd9\u4e2a\u6a21\u578b\u6709\u4e24\u4e2a\u6587\u4ef6\u3002\u4f60\u9700\u8981\u540c\u65f6\u4f7f\u7528\u5b83\u4eec\uff01\uff01\uff01\u3002\n\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u9700\u8981\u4e0b\u8f7d`noa_himesaka_watashinitenshigamaiorita.pt`\u548c`noa_himesaka_watashinitenshigamaiorita.safetensors`\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06`noa_himesaka_watashinitenshigamaiorita.pt`\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528`noa_himesaka_watashinitenshigamaiorita.safetensors`\u4f5c\u4e3aLoRA\u3002\n\n\n\n\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!!!. \n\uc774 \uacbd\uc6b0\uc5d0\ub294 `noa_himesaka_watashinitenshigamaiorita.pt`\uc640 `noa_himesaka_watashinitenshigamaiorita.safetensors` \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 `noa_himesaka_watashinitenshigamaiorita.pt`\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 `noa_himesaka_watashinitenshigamaiorita.safetensors`\uc744 LoRA\ub85c \uc0ac\uc6a9\ud558\uc154\uc57c \ud569\ub2c8\ub2e4.\n\n\n\n(Translated with ChatGPT)\n\n\n\nThe trigger word is `noa_himesaka_watashinitenshigamaiorita`, and the recommended tags are `best quality, masterpiece, highres, solo, {noa_himesaka_watashinitenshigamaiorita:1.15}, blonde_hair, blush, long_hair, bangs, :3, bow, green_eyes, closed_mouth, hair_bow, red_bow, smile, ahoge, thick_eyebrows, ponytail`.\n\n\n\nHow This Model Is Trained\n\nThis model is trained with HCP-Diffusion. \nAnd the auto-training framework is maintained by DeepGHS Team.\n\n\n\nWhy Some Preview Images Not Look Like Noa Himesaka Watashinitenshigamaiorita\n\nAll the prompt texts used on the preview images (which can be viewed by clicking on the images) \nare automatically generated using clustering algorithms based on feature information extracted from the \ntraining dataset. The seed used during image generation is also randomly generated, and the images have \nnot undergone any selection or modification. As a result, there is a possibility of the mentioned \nissues occurring.\n\n\n\nIn practice, based on our internal testing, most models that experience such issues perform better in \nactual usage than what is seen in the preview images. The only thing you may need to do is adjusting \nthe tags you are using.\n\n\n\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do\n\nOur model has been published on huggingface repository - CyberHarem/noahimesakawatashinitenshigamaiorita, where\nmodels of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/noahimesakawatashinitenshigamaiorita, which may be helpful to you.\n\n\n\nWhy Not Just Using The Better-Selected Images\n\nOur model's entire process, from data crawling, training, to generating preview images and publishing, \nis 100% automated without any human intervention. It's an interesting experiment conducted by our team, \nand for this purpose, we have developed a complete set of software infrastructure, including data filtering, \nautomatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or \nsuggestions as they are highly valuable to us.\n\n\n\nWhy Can't the Desired Character Outfits Be Accurately Generated\n\nOur current training data is sourced from various image websites, and for a fully automated pipeline, \nit's challenging to accurately predict which official images a character possesses. \nConsequently, outfit generation relies on clustering based on labels from the training dataset \nin an attempt to achieve the best possible recreation. We will continue to address this issue and attempt \noptimization, but it remains a challenge that cannot be completely resolved. The accuracy of outfit \nrecreation is also unlikely to match the level achieved by manually trained models.\n\n\n\nIn fact, this model's greatest strengths lie in recreating the inherent characteristics of the characters \nthemselves and its relatively strong generalization capabilities, owing to its larger dataset. \nAs such, this model is well-suited for tasks such as changing outfits, posing characters, and, \nof course, generating NSFW images of characters!\ud83d\ude09\".\n\n\n\nFor the following groups, it is not recommended to use this model and we express regret:\n\n\n\n\n* Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.\n* Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.\n* Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.\n* Individuals who are not comfortable with the fully automated process of training character models using LoRA, or those who believe that training character models must be done purely through manual operations to avoid disrespecting the characters.\n* Individuals who finds the generated image content offensive to their values.\n-->",
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