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A-表番角色/Code Geass 反叛的鲁路修/Shamna_Code_Geass-KK77-V1.safetensors

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A-表番角色/不要欺负我，长瀞同学/sana sunomiya s1s2-lora-nochekaiser.safetensors

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A-表番角色/久保同学不放过我/kubo_akina_v1.civitai.info

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+                        "hash": "f713bab753",
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+                        "hash": "f713bab753",
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+                        "hash": "f713bab753",
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+                        "name": "suzumiya_haruhi_lora_ver1",
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A-表番角色/凉宫春日系列/tsuruya.safetensors

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A-表番角色/美少女死神 还我H之魂！/iria_fukumune_soicantplayh.civitai.info

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+{
+    "id": 341087,
+    "modelId": 303827,
+    "name": "v1.5",
+    "createdAt": "2024-02-13T03:10:12.783Z",
+    "updatedAt": "2024-02-13T03:12:24.640Z",
+    "status": "Published",
+    "publishedAt": "2024-02-13T03:12:24.639Z",
+    "trainedWords": [
+        "iria_fukumune_soicantplayh"
+    ],
+    "trainingStatus": null,
+    "trainingDetails": null,
+    "baseModel": "SD 1.5",
+    "baseModelType": null,
+    "earlyAccessTimeFrame": 0,
+    "description": "<!--\nModel iria_fukumune_soicantplayh version v1.5\n-->",
+    "stats": {
+        "downloadCount": 63,
+        "ratingCount": 1,
+        "rating": 5
+    },
+    "model": {
+        "name": "Iria Fukumune (So, I Can't Play H!)",
+        "type": "LORA",
+        "nsfw": false,
+        "poi": false,
+        "description": "<!--\n* Due to Civitai's TOS, some images cannot be uploaded. THE FULL PREVIEW IMAGES CAN BE FOUND ON HUGGINGFACE.\n* THIS MODEL HAS 2 FILES. If you are using a1111's webui v1.6 or lower version, YOU HAVE TO USE THEM TOGETHER!!!. If you are using webui v1.7+, just use the safetensors file like the common LoRA.\n* The pruned character tags are blonde_hair, short_hair, blue_eyes, breasts, ribbon. You can add them into prompts when core features (e.g. hair color) of character is not so stable.\n* Recommended weight of pt file is 0.7-1.1, weight of LoRA is 0.5-0.85. \n* Images were generated using some fixed prompts and dataset-based clustered prompts. Random seeds were used, ruling out cherry-picking. What you see here is what you can get.\n* No specialized training was done for outfits. You can check our provided preview post to get the prompts corresponding to the outfits.\n* This model is trained with 209 images.\n\n\nHow to Use This Model\n\nTHIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER IF YOU ARE USING WEBUI v1.6 OR LOWER VERSION!!!. \nIn this case, you need to download both `iria_fukumune_soicantplayh.pt` and `iria_fukumune_soicantplayh.safetensors`, \nthen put `iria_fukumune_soicantplayh.pt` to the embeddings folder, and use `iria_fukumune_soicantplayh.safetensors` as LoRA at the same time.\nIf you are using webui v1.7+, just use the safetensors file like the common LoRAs.\nThis is because the embedding-bundled LoRA/Lycoris model are now officially supported by a1111's webui, \nsee here for more details.\n\n\n\n\u3053\u306e\u30e2\u30c7\u30eb\u306b\u306f2\u3064\u306e\u30d5\u30a1\u30a4\u30eb\u304c\u3042\u308a\u307e\u3059\u3002WebUI v1.6 \u4ee5\u4e0b\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u5834\u5408\u306f\u3001\u3053\u308c\u3089\u3092\u4e00\u7dd2\u306b\u4f7f\u7528\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\uff01\uff01\uff01\n\u3053\u306e\u5834\u5408\u3001`iria_fukumune_soicantplayh.pt` \u3068 `iria_fukumune_soicantplayh.safetensors` \u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u3001\n\u305d\u306e\u5f8c\u3001`iria_fukumune_soicantplayh.pt` \u3092 `embeddings` \u30d5\u30a9\u30eb\u30c0\u306b\u5165\u308c\u3001\u540c\u6642\u306b `iria_fukumune_soicantplayh.safetensors` \u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u307e\u3059\u3002\nwebui v1.7+\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u5834\u5408\u3001\u4e00\u822c\u7684\u306aLoRAs\u306e\u3088\u3046\u306bsafetensors\u30d5\u30a1\u30a4\u30eb\u3092\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002\n\u3053\u308c\u306f\u3001\u57cb\u3081\u8fbc\u307f\u30d0\u30f3\u30c9\u30eb\u3055\u308c\u305fLoRA/Lycoris\u30e2\u30c7\u30eb\u304c\u73fe\u5728\u3001a1111\u306ewebui\u306b\u516c\u5f0f\u306b\u30b5\u30dd\u30fc\u30c8\u3055\u308c\u3066\u3044\u308b\u305f\u3081\u3067\u3059\u3002\n\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3053\u3061\u3089\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002\n\n\n\n\u6b64\u6a21\u578b\u5305\u542b\u4e24\u4e2a\u6587\u4ef6\u3002\u5982\u679c\u60a8\u4f7f\u7528\u7684\u662f WebUI v1.6 \u6216\u66f4\u4f4e\u7248\u672c\uff0c\u60a8\u9700\u8981\u540c\u65f6\u4f7f\u7528\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff01\n\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u9700\u8981\u4e0b\u8f7d `iria_fukumune_soicantplayh.pt` \u548c `iria_fukumune_soicantplayh.safetensors` \u4e24\u4e2a\u6587\u4ef6\uff0c\n\u7136\u540e\u5c06 `iria_fukumune_soicantplayh.pt` \u653e\u5165 `embeddings` \u6587\u4ef6\u5939\u4e2d\uff0c\u5e76\u540c\u65f6\u4f7f\u7528 `iria_fukumune_soicantplayh.safetensors` \u4f5c\u4e3a LoRA\u3002\n\u5982\u679c\u60a8\u6b63\u5728\u4f7f\u7528 webui v1.7 \u6216\u66f4\u9ad8\u7248\u672c\uff0c\u53ea\u9700\u50cf\u5e38\u89c4 LoRAs \u4e00\u6837\u4f7f\u7528 safetensors \u6587\u4ef6\u3002\n\u8fd9\u662f\u56e0\u4e3a\u5d4c\u5165\u5f0f LoRA/Lycoris \u6a21\u578b\u73b0\u5728\u5df2\u7ecf\u5f97\u5230 a1111's webui \u7684\u5b98\u65b9\u652f\u6301\uff0c\n\u66f4\u591a\u8be6\u60c5\u8bf7\u53c2\u89c1\u8fd9\u91cc\u3002\n\n\n\n(Translated with ChatGPT)\n\n\n\nThe trigger word is `iria_fukumune_soicantplayh`, and the pruned tags are `blonde_hair, short_hair, blue_eyes, breasts, ribbon`.\nWhen some features (e.g. hair color) are not so stable at some times, \nyou can add these them into your prompt.\n\n\n\nHow This Model Is Trained\n\n\n* This model is trained with HCP-Diffusion.\n* The auto-training framework is maintained by \nDeepGHS Team.\n* The base model used for training is \ndeepghs/animefull-latest.\n* Dataset used for training is the `stage3-p480-800` in \nCyberHarem/iria_fukumune_soicantplayh,\nwhich contains 209 images.\n* Batch size is 4, resolution is 720x720, \nclustering into 5 buckets.\n* Batch size for regularization dataset is 16, \nresolution is 720x720, clustering into 10 buckets.\n* Trained for 2120 steps, \n40 checkpoints were saved and evaluated.\n\n\nFor more training details, take a look at \nhuggingface repository - CyberHarem/iria_fukumune_soicantplayh.\n\n\n\nWhy Some Preview Images Not Look Like Her\n\nAll the prompt texts used on the preview images (which can be viewed by clicking on the images) \nare automatically generated using clustering algorithms based on feature information extracted from the \ntraining dataset. The seed used during image generation is also randomly generated, and the images have \nnot undergone any selection or modification. As a result, there is a possibility of the mentioned \nissues occurring.\n\n\n\nIn practice, based on our internal testing, most models that experience such issues perform better in \nactual usage than what is seen in the preview images. The only thing you may need to do is adjusting \nthe tags you are using.\n\n\n\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do\n\nThe step you see here is auto-selected. We also recommend other good steps for you to try.\nClick here to select your favourite step.\n\n\n\nOur model has been published on \nhuggingface repository - CyberHarem/iria_fukumune_soicantplayh, \nwhere models of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/iria_fukumune_soicantplayh, \nwhich may be helpful to you.\n\n\n\nWhy Not Just Using The Better-Selected Images\n\nOur model's entire process, from data crawling, training, to generating preview images and publishing, \nis 100% automated without any human intervention. It's an interesting experiment conducted by our team, \nand for this purpose, we have developed a complete set of software infrastructure, including data filtering, \nautomatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or \nsuggestions as they are highly valuable to us.\n\n\n\nWhy Can't the Desired Character Outfits Be Accurately Generated\n\nOur current training data is sourced from various image websites, and for a fully automated pipeline, \nit's challenging to accurately predict which official images a character possesses. \nConsequently, outfit generation relies on clustering based on labels from the training dataset \nin an attempt to achieve the best possible recreation. We will continue to address this issue and attempt \noptimization, but it remains a challenge that cannot be completely resolved. The accuracy of outfit \nrecreation is also unlikely to match the level achieved by manually trained models.\n\n\n\nIn fact, this model's greatest strengths lie in recreating the inherent characteristics of the characters \nthemselves and its relatively strong generalization capabilities, owing to its larger dataset. \nAs such, this model is well-suited for tasks such as changing outfits, posing characters, and, \nof course, generating NSFW images of characters!\ud83d\ude09\".\n\n\n\nFor the following groups, it is not recommended to use this model and we express regret:\n\n\n\n\n* Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.\n* Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.\n* Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.\n* Individuals who are not comfortable with the fully automated process of training character models using LoRA, or those who believe that training character models must be done purely through manual operations to avoid disrespecting the characters.\n* Individuals who finds the generated image content offensive to their values.\n-->",
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A-表番角色/美少女死神 还我H之魂！/iria_fukumune_soicantplayh.safetensors

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A-表番角色/美少女死神 还我H之魂！/lisara_restall_fanart_soicantplayh.civitai.info

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You can check our provided preview post to get the prompts corresponding to the outfits.\n* This model is trained with 126 images.\n\n\nHow to Use This Model\n\nTHIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER IF YOU ARE USING WEBUI v1.6 OR LOWER VERSION!!!. \nIn this case, you need to download both `lisara_restall_fanart_soicantplayh.pt` and `lisara_restall_fanart_soicantplayh.safetensors`, \nthen put `lisara_restall_fanart_soicantplayh.pt` to the embeddings folder, and use `lisara_restall_fanart_soicantplayh.safetensors` as LoRA at the same time.\nIf you are using webui v1.7+, just use the safetensors file like the common LoRAs.\nThis is because the embedding-bundled LoRA/Lycoris model are now officially supported by a1111's webui, \nsee here for more details.\n\n\n\n\u3053\u306e\u30e2\u30c7\u30eb\u306b\u306f2\u3064\u306e\u30d5\u30a1\u30a4\u30eb\u304c\u3042\u308a\u307e\u3059\u3002WebUI v1.6 \u4ee5\u4e0b\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u5834\u5408\u306f\u3001\u3053\u308c\u3089\u3092\u4e00\u7dd2\u306b\u4f7f\u7528\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\uff01\uff01\uff01\n\u3053\u306e\u5834\u5408\u3001`lisara_restall_fanart_soicantplayh.pt` \u3068 `lisara_restall_fanart_soicantplayh.safetensors` \u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u3001\n\u305d\u306e\u5f8c\u3001`lisara_restall_fanart_soicantplayh.pt` \u3092 `embeddings` \u30d5\u30a9\u30eb\u30c0\u306b\u5165\u308c\u3001\u540c\u6642\u306b `lisara_restall_fanart_soicantplayh.safetensors` \u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u307e\u3059\u3002\nwebui v1.7+\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u5834\u5408\u3001\u4e00\u822c\u7684\u306aLoRAs\u306e\u3088\u3046\u306bsafetensors\u30d5\u30a1\u30a4\u30eb\u3092\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002\n\u3053\u308c\u306f\u3001\u57cb\u3081\u8fbc\u307f\u30d0\u30f3\u30c9\u30eb\u3055\u308c\u305fLoRA/Lycoris\u30e2\u30c7\u30eb\u304c\u73fe\u5728\u3001a1111\u306ewebui\u306b\u516c\u5f0f\u306b\u30b5\u30dd\u30fc\u30c8\u3055\u308c\u3066\u3044\u308b\u305f\u3081\u3067\u3059\u3002\n\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3053\u3061\u3089\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002\n\n\n\n\u6b64\u6a21\u578b\u5305\u542b\u4e24\u4e2a\u6587\u4ef6\u3002\u5982\u679c\u60a8\u4f7f\u7528\u7684\u662f WebUI v1.6 \u6216\u66f4\u4f4e\u7248\u672c\uff0c\u60a8\u9700\u8981\u540c\u65f6\u4f7f\u7528\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff01\n\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u9700\u8981\u4e0b\u8f7d `lisara_restall_fanart_soicantplayh.pt` \u548c `lisara_restall_fanart_soicantplayh.safetensors` \u4e24\u4e2a\u6587\u4ef6\uff0c\n\u7136\u540e\u5c06 `lisara_restall_fanart_soicantplayh.pt` \u653e\u5165 `embeddings` \u6587\u4ef6\u5939\u4e2d\uff0c\u5e76\u540c\u65f6\u4f7f\u7528 `lisara_restall_fanart_soicantplayh.safetensors` \u4f5c\u4e3a LoRA\u3002\n\u5982\u679c\u60a8\u6b63\u5728\u4f7f\u7528 webui v1.7 \u6216\u66f4\u9ad8\u7248\u672c\uff0c\u53ea\u9700\u50cf\u5e38\u89c4 LoRAs \u4e00\u6837\u4f7f\u7528 safetensors \u6587\u4ef6\u3002\n\u8fd9\u662f\u56e0\u4e3a\u5d4c\u5165\u5f0f LoRA/Lycoris \u6a21\u578b\u73b0\u5728\u5df2\u7ecf\u5f97\u5230 a1111's webui \u7684\u5b98\u65b9\u652f\u6301\uff0c\n\u66f4\u591a\u8be6\u60c5\u8bf7\u53c2\u89c1\u8fd9\u91cc\u3002\n\n\n\n(Translated with ChatGPT)\n\n\n\nThe trigger word is `lisara_restall_fanart_soicantplayh`, and the pruned tags are `red_hair, long_hair, red_eyes, very_long_hair, breasts`.\nWhen some features (e.g. hair color) are not so stable at some times, \nyou can add these them into your prompt.\n\n\n\nHow This Model Is Trained\n\n\n* This model is trained with HCP-Diffusion.\n* The auto-training framework is maintained by \nDeepGHS Team.\n* The base model used for training is \ndeepghs/animefull-latest.\n* Dataset used for training is the `stage3-p480-800` in \nCyberHarem/lisara_restall_fanart_soicantplayh,\nwhich contains 126 images.\n* Batch size is 4, resolution is 720x720, \nclustering into 5 buckets.\n* Batch size for regularization dataset is 16, \nresolution is 720x720, clustering into 20 buckets.\n* Trained for 1280 steps, \n40 checkpoints were saved and evaluated.\n\n\nFor more training details, take a look at \nhuggingface repository - CyberHarem/lisara_restall_fanart_soicantplayh.\n\n\n\nWhy Some Preview Images Not Look Like Her\n\nAll the prompt texts used on the preview images (which can be viewed by clicking on the images) \nare automatically generated using clustering algorithms based on feature information extracted from the \ntraining dataset. The seed used during image generation is also randomly generated, and the images have \nnot undergone any selection or modification. As a result, there is a possibility of the mentioned \nissues occurring.\n\n\n\nIn practice, based on our internal testing, most models that experience such issues perform better in \nactual usage than what is seen in the preview images. The only thing you may need to do is adjusting \nthe tags you are using.\n\n\n\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do\n\nThe step you see here is auto-selected. We also recommend other good steps for you to try.\nClick here to select your favourite step.\n\n\n\nOur model has been published on \nhuggingface repository - CyberHarem/lisara_restall_fanart_soicantplayh, \nwhere models of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/lisara_restall_fanart_soicantplayh, \nwhich may be helpful to you.\n\n\n\nWhy Not Just Using The Better-Selected Images\n\nOur model's entire process, from data crawling, training, to generating preview images and publishing, \nis 100% automated without any human intervention. It's an interesting experiment conducted by our team, \nand for this purpose, we have developed a complete set of software infrastructure, including data filtering, \nautomatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or \nsuggestions as they are highly valuable to us.\n\n\n\nWhy Can't the Desired Character Outfits Be Accurately Generated\n\nOur current training data is sourced from various image websites, and for a fully automated pipeline, \nit's challenging to accurately predict which official images a character possesses. \nConsequently, outfit generation relies on clustering based on labels from the training dataset \nin an attempt to achieve the best possible recreation. We will continue to address this issue and attempt \noptimization, but it remains a challenge that cannot be completely resolved. 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A-表番角色/美少女死神 还我H之魂！/lisara_restall_fanart_soicantplayh.safetensors

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A-表番角色/美少女死神 还我H之魂！/lisara_restall_soicantplayh.civitai.info

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+    "name": "v1.5",
+    "createdAt": "2024-02-13T03:09:47.332Z",
+    "updatedAt": "2024-02-13T03:12:13.920Z",
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+        "description": "<!--\n* Due to Civitai's TOS, some images cannot be uploaded. THE FULL PREVIEW IMAGES CAN BE FOUND ON HUGGINGFACE.\n* THIS MODEL HAS 2 FILES. If you are using a1111's webui v1.6 or lower version, YOU HAVE TO USE THEM TOGETHER!!!. If you are using webui v1.7+, just use the safetensors file like the common LoRA.\n* The pruned character tags are long_hair, red_hair, red_eyes. You can add them into prompts when core features (e.g. hair color) of character is not so stable.\n* Recommended weight of pt file is 0.7-1.1, weight of LoRA is 0.5-0.85. \n* Images were generated using some fixed prompts and dataset-based clustered prompts. Random seeds were used, ruling out cherry-picking. What you see here is what you can get.\n* No specialized training was done for outfits. You can check our provided preview post to get the prompts corresponding to the outfits.\n* This model is trained with 831 images.\n\n\nHow to Use This Model\n\nTHIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER IF YOU ARE USING WEBUI v1.6 OR LOWER VERSION!!!. \nIn this case, you need to download both `lisara_restall_soicantplayh.pt` and `lisara_restall_soicantplayh.safetensors`, \nthen put `lisara_restall_soicantplayh.pt` to the embeddings folder, and use `lisara_restall_soicantplayh.safetensors` as LoRA at the same time.\nIf you are using webui v1.7+, just use the safetensors file like the common LoRAs.\nThis is because the embedding-bundled LoRA/Lycoris model are now officially supported by a1111's webui, \nsee here for more details.\n\n\n\n\u3053\u306e\u30e2\u30c7\u30eb\u306b\u306f2\u3064\u306e\u30d5\u30a1\u30a4\u30eb\u304c\u3042\u308a\u307e\u3059\u3002WebUI v1.6 \u4ee5\u4e0b\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u5834\u5408\u306f\u3001\u3053\u308c\u3089\u3092\u4e00\u7dd2\u306b\u4f7f\u7528\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\uff01\uff01\uff01\n\u3053\u306e\u5834\u5408\u3001`lisara_restall_soicantplayh.pt` \u3068 `lisara_restall_soicantplayh.safetensors` \u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u3001\n\u305d\u306e\u5f8c\u3001`lisara_restall_soicantplayh.pt` \u3092 `embeddings` \u30d5\u30a9\u30eb\u30c0\u306b\u5165\u308c\u3001\u540c\u6642\u306b `lisara_restall_soicantplayh.safetensors` \u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u307e\u3059\u3002\nwebui v1.7+\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u5834\u5408\u3001\u4e00\u822c\u7684\u306aLoRAs\u306e\u3088\u3046\u306bsafetensors\u30d5\u30a1\u30a4\u30eb\u3092\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002\n\u3053\u308c\u306f\u3001\u57cb\u3081\u8fbc\u307f\u30d0\u30f3\u30c9\u30eb\u3055\u308c\u305fLoRA/Lycoris\u30e2\u30c7\u30eb\u304c\u73fe\u5728\u3001a1111\u306ewebui\u306b\u516c\u5f0f\u306b\u30b5\u30dd\u30fc\u30c8\u3055\u308c\u3066\u3044\u308b\u305f\u3081\u3067\u3059\u3002\n\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3053\u3061\u3089\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002\n\n\n\n\u6b64\u6a21\u578b\u5305\u542b\u4e24\u4e2a\u6587\u4ef6\u3002\u5982\u679c\u60a8\u4f7f\u7528\u7684\u662f WebUI v1.6 \u6216\u66f4\u4f4e\u7248\u672c\uff0c\u60a8\u9700\u8981\u540c\u65f6\u4f7f\u7528\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff01\n\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u9700\u8981\u4e0b\u8f7d `lisara_restall_soicantplayh.pt` \u548c `lisara_restall_soicantplayh.safetensors` \u4e24\u4e2a\u6587\u4ef6\uff0c\n\u7136\u540e\u5c06 `lisara_restall_soicantplayh.pt` \u653e\u5165 `embeddings` \u6587\u4ef6\u5939\u4e2d\uff0c\u5e76\u540c\u65f6\u4f7f\u7528 `lisara_restall_soicantplayh.safetensors` \u4f5c\u4e3a LoRA\u3002\n\u5982\u679c\u60a8\u6b63\u5728\u4f7f\u7528 webui v1.7 \u6216\u66f4\u9ad8\u7248\u672c\uff0c\u53ea\u9700\u50cf\u5e38\u89c4 LoRAs \u4e00\u6837\u4f7f\u7528 safetensors \u6587\u4ef6\u3002\n\u8fd9\u662f\u56e0\u4e3a\u5d4c\u5165\u5f0f LoRA/Lycoris \u6a21\u578b\u73b0\u5728\u5df2\u7ecf\u5f97\u5230 a1111's webui \u7684\u5b98\u65b9\u652f\u6301\uff0c\n\u66f4\u591a\u8be6\u60c5\u8bf7\u53c2\u89c1\u8fd9\u91cc\u3002\n\n\n\n(Translated with ChatGPT)\n\n\n\nThe trigger word is `lisara_restall_soicantplayh`, and the pruned tags are `long_hair, red_hair, red_eyes`.\nWhen some features (e.g. hair color) are not so stable at some times, \nyou can add these them into your prompt.\n\n\n\nHow This Model Is Trained\n\n\n* This model is trained with HCP-Diffusion.\n* The auto-training framework is maintained by \nDeepGHS Team.\n* The base model used for training is \ndeepghs/animefull-latest.\n* Dataset used for training is the `stage3-p480-800` in \nCyberHarem/lisara_restall_soicantplayh,\nwhich contains 831 images.\n* Batch size is 4, resolution is 720x720, \nclustering into 5 buckets.\n* Batch size for regularization dataset is 2, \nresolution is 720x720, clustering into 10 buckets.\n* Trained for 8320 steps, \n40 checkpoints were saved and evaluated.\n\n\nFor more training details, take a look at \nhuggingface repository - CyberHarem/lisara_restall_soicantplayh.\n\n\n\nWhy Some Preview Images Not Look Like Her\n\nAll the prompt texts used on the preview images (which can be viewed by clicking on the images) \nare automatically generated using clustering algorithms based on feature information extracted from the \ntraining dataset. The seed used during image generation is also randomly generated, and the images have \nnot undergone any selection or modification. As a result, there is a possibility of the mentioned \nissues occurring.\n\n\n\nIn practice, based on our internal testing, most models that experience such issues perform better in \nactual usage than what is seen in the preview images. The only thing you may need to do is adjusting \nthe tags you are using.\n\n\n\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do\n\nThe step you see here is auto-selected. We also recommend other good steps for you to try.\nClick here to select your favourite step.\n\n\n\nOur model has been published on \nhuggingface repository - CyberHarem/lisara_restall_soicantplayh, \nwhere models of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/lisara_restall_soicantplayh, \nwhich may be helpful to you.\n\n\n\nWhy Not Just Using The Better-Selected Images\n\nOur model's entire process, from data crawling, training, to generating preview images and publishing, \nis 100% automated without any human intervention. It's an interesting experiment conducted by our team, \nand for this purpose, we have developed a complete set of software infrastructure, including data filtering, \nautomatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or \nsuggestions as they are highly valuable to us.\n\n\n\nWhy Can't the Desired Character Outfits Be Accurately Generated\n\nOur current training data is sourced from various image websites, and for a fully automated pipeline, \nit's challenging to accurately predict which official images a character possesses. \nConsequently, outfit generation relies on clustering based on labels from the training dataset \nin an attempt to achieve the best possible recreation. We will continue to address this issue and attempt \noptimization, but it remains a challenge that cannot be completely resolved. The accuracy of outfit \nrecreation is also unlikely to match the level achieved by manually trained models.\n\n\n\nIn fact, this model's greatest strengths lie in recreating the inherent characteristics of the characters \nthemselves and its relatively strong generalization capabilities, owing to its larger dataset. \nAs such, this model is well-suited for tasks such as changing outfits, posing characters, and, \nof course, generating NSFW images of characters!\ud83d\ude09\".\n\n\n\nFor the following groups, it is not recommended to use this model and we express regret:\n\n\n\n\n* Individuals who cannot tolerate any deviations from the original character design, even in the slightest detail.\n* Individuals who are facing the application scenarios with high demands for accuracy in recreating character outfits.\n* Individuals who cannot accept the potential randomness in AI-generated images based on the Stable Diffusion algorithm.\n* Individuals who are not comfortable with the fully automated process of training character models using LoRA, or those who believe that training character models must be done purely through manual operations to avoid disrespecting the characters.\n* Individuals who finds the generated image content offensive to their values.\n-->",
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A-表番角色/美少女死神 还我H之魂！/lisara_restall_soicantplayh.safetensors

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+        "description": "<!--\n* Due to Civitai's TOS, some images cannot be uploaded. THE FULL PREVIEW IMAGES CAN BE FOUND ON HUGGINGFACE.\n* THIS MODEL HAS 2 FILES. If you are using a1111's webui v1.6 or lower version, YOU HAVE TO USE THEM TOGETHER!!!. If you are using webui v1.7+, just use the safetensors file like the common LoRA.\n* The pruned character tags are brown_hair, glasses, purple_eyes, short_hair. You can add them into prompts when core features (e.g. hair color) of character is not so stable.\n* Recommended weight of pt file is 0.7-1.1, weight of LoRA is 0.5-0.85. \n* Images were generated using some fixed prompts and dataset-based clustered prompts. Random seeds were used, ruling out cherry-picking. What you see here is what you can get.\n* No specialized training was done for outfits. You can check our provided preview post to get the prompts corresponding to the outfits.\n* This model is trained with 322 images.\n\n\nHow to Use This Model\n\nTHIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER IF YOU ARE USING WEBUI v1.6 OR LOWER VERSION!!!. \nIn this case, you need to download both `mina_okura_soicantplayh.pt` and `mina_okura_soicantplayh.safetensors`, \nthen put `mina_okura_soicantplayh.pt` to the embeddings folder, and use `mina_okura_soicantplayh.safetensors` as LoRA at the same time.\nIf you are using webui v1.7+, just use the safetensors file like the common LoRAs.\nThis is because the embedding-bundled LoRA/Lycoris model are now officially supported by a1111's webui, \nsee here for more details.\n\n\n\n\u3053\u306e\u30e2\u30c7\u30eb\u306b\u306f2\u3064\u306e\u30d5\u30a1\u30a4\u30eb\u304c\u3042\u308a\u307e\u3059\u3002WebUI v1.6 \u4ee5\u4e0b\u306e\u30d0\u30fc\u30b8\u30e7\u30f3\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u5834\u5408\u306f\u3001\u3053\u308c\u3089\u3092\u4e00\u7dd2\u306b\u4f7f\u7528\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\uff01\uff01\uff01\n\u3053\u306e\u5834\u5408\u3001`mina_okura_soicantplayh.pt` \u3068 `mina_okura_soicantplayh.safetensors` \u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u3001\n\u305d\u306e\u5f8c\u3001`mina_okura_soicantplayh.pt` \u3092 `embeddings` \u30d5\u30a9\u30eb\u30c0\u306b\u5165\u308c\u3001\u540c\u6642\u306b `mina_okura_soicantplayh.safetensors` \u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u307e\u3059\u3002\nwebui v1.7+\u3092\u4f7f\u7528\u3057\u3066\u3044\u308b\u5834\u5408\u3001\u4e00\u822c\u7684\u306aLoRAs\u306e\u3088\u3046\u306bsafetensors\u30d5\u30a1\u30a4\u30eb\u3092\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002\n\u3053\u308c\u306f\u3001\u57cb\u3081\u8fbc\u307f\u30d0\u30f3\u30c9\u30eb\u3055\u308c\u305fLoRA/Lycoris\u30e2\u30c7\u30eb\u304c\u73fe\u5728\u3001a1111\u306ewebui\u306b\u516c\u5f0f\u306b\u30b5\u30dd\u30fc\u30c8\u3055\u308c\u3066\u3044\u308b\u305f\u3081\u3067\u3059\u3002\n\u8a73\u7d30\u306b\u3064\u3044\u3066\u306f\u3053\u3061\u3089\u3092\u3054\u89a7\u304f\u3060\u3055\u3044\u3002\n\n\n\n\u6b64\u6a21\u578b\u5305\u542b\u4e24\u4e2a\u6587\u4ef6\u3002\u5982\u679c\u60a8\u4f7f\u7528\u7684\u662f WebUI v1.6 \u6216\u66f4\u4f4e\u7248\u672c\uff0c\u60a8\u9700\u8981\u540c\u65f6\u4f7f\u7528\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff01\n\u5728\u8fd9\u79cd\u60c5\u51b5\u4e0b\uff0c\u60a8\u9700\u8981\u4e0b\u8f7d `mina_okura_soicantplayh.pt` \u548c `mina_okura_soicantplayh.safetensors` \u4e24\u4e2a\u6587\u4ef6\uff0c\n\u7136\u540e\u5c06 `mina_okura_soicantplayh.pt` \u653e\u5165 `embeddings` \u6587\u4ef6\u5939\u4e2d\uff0c\u5e76\u540c\u65f6\u4f7f\u7528 `mina_okura_soicantplayh.safetensors` \u4f5c\u4e3a LoRA\u3002\n\u5982\u679c\u60a8\u6b63\u5728\u4f7f\u7528 webui v1.7 \u6216\u66f4\u9ad8\u7248\u672c\uff0c\u53ea\u9700\u50cf\u5e38\u89c4 LoRAs \u4e00\u6837\u4f7f\u7528 safetensors \u6587\u4ef6\u3002\n\u8fd9\u662f\u56e0\u4e3a\u5d4c\u5165\u5f0f LoRA/Lycoris \u6a21\u578b\u73b0\u5728\u5df2\u7ecf\u5f97\u5230 a1111's webui \u7684\u5b98\u65b9\u652f\u6301\uff0c\n\u66f4\u591a\u8be6\u60c5\u8bf7\u53c2\u89c1\u8fd9\u91cc\u3002\n\n\n\n(Translated with ChatGPT)\n\n\n\nThe trigger word is `mina_okura_soicantplayh`, and the pruned tags are `brown_hair, glasses, purple_eyes, short_hair`.\nWhen some features (e.g. hair color) are not so stable at some times, \nyou can add these them into your prompt.\n\n\n\nHow This Model Is Trained\n\n\n* This model is trained with HCP-Diffusion.\n* The auto-training framework is maintained by \nDeepGHS Team.\n* The base model used for training is \ndeepghs/animefull-latest.\n* Dataset used for training is the `stage3-p480-800` in \nCyberHarem/mina_okura_soicantplayh,\nwhich contains 322 images.\n* Batch size is 4, resolution is 720x720, \nclustering into 5 buckets.\n* Batch size for regularization dataset is 11, \nresolution is 720x720, clustering into 10 buckets.\n* Trained for 3240 steps, \n40 checkpoints were saved and evaluated.\n\n\nFor more training details, take a look at \nhuggingface repository - CyberHarem/mina_okura_soicantplayh.\n\n\n\nWhy Some Preview Images Not Look Like Her\n\nAll the prompt texts used on the preview images (which can be viewed by clicking on the images) \nare automatically generated using clustering algorithms based on feature information extracted from the \ntraining dataset. The seed used during image generation is also randomly generated, and the images have \nnot undergone any selection or modification. As a result, there is a possibility of the mentioned \nissues occurring.\n\n\n\nIn practice, based on our internal testing, most models that experience such issues perform better in \nactual usage than what is seen in the preview images. The only thing you may need to do is adjusting \nthe tags you are using.\n\n\n\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do\n\nThe step you see here is auto-selected. We also recommend other good steps for you to try.\nClick here to select your favourite step.\n\n\n\nOur model has been published on \nhuggingface repository - CyberHarem/mina_okura_soicantplayh, \nwhere models of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/mina_okura_soicantplayh, \nwhich may be helpful to you.\n\n\n\nWhy Not Just Using The Better-Selected Images\n\nOur model's entire process, from data crawling, training, to generating preview images and publishing, \nis 100% automated without any human intervention. It's an interesting experiment conducted by our team, \nand for this purpose, we have developed a complete set of software infrastructure, including data filtering, \nautomatic training, and automated publishing. Therefore, if possible, we would appreciate more feedback or \nsuggestions as they are highly valuable to us.\n\n\n\nWhy Can't the Desired Character Outfits Be Accurately Generated\n\nOur current training data is sourced from various image websites, and for a fully automated pipeline, \nit's challenging to accurately predict which official images a character possesses. \nConsequently, outfit generation relies on clustering based on labels from the training dataset \nin an attempt to achieve the best possible recreation. We will continue to address this issue and attempt \noptimization, but it remains a challenge that cannot be completely resolved. 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A-表番角色/美少女死神 还我H之魂！/mina_okura_soicantplayh.safetensors

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