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+ "verybadimagenegative_v1.3": "d70463f87042\""
+ }
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+ "downloadUrl": "https://civitai.com/api/download/models/152113"
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+{
+ "id": 151533,
+ "modelId": 137324,
+ "name": "v1.4",
+ "createdAt": "2023-08-30T04:32:52.303Z",
+ "updatedAt": "2023-08-30T04:34:05.671Z",
+ "trainedWords": [
+ "ayaka_tachibana_imocho",
+ "short_hair, brown_hair, brown_eyes, open_mouth"
+ ],
+ "trainingStatus": null,
+ "trainingDetails": null,
+ "baseModel": "SD 1.5",
+ "baseModelType": null,
+ "earlyAccessTimeFrame": 0,
+ "description": "",
+ "stats": {
+ "downloadCount": 91,
+ "ratingCount": 0,
+ "rating": 0
+ },
+ "model": {
+ "name": "Ayaka Tachibana (Recently, My Sister Is Unusual)",
+ "type": "LORA",
+ "nsfw": false,
+ "poi": false,
+ "description": "\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 0.6.
\n
\nHow to Use This Model
\nTHIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!. \nIn this case, you need to download both ayaka_tachibana_imocho.pt and \nayaka_tachibana_imocho.safetensors, then use ayaka_tachibana_imocho.pt as texture inversion embedding, and use\nayaka_tachibana_imocho.safetensors as LoRA at the same time.
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\n(Translated with ChatGPT)
\nThe trigger word is ayaka_tachibana_imocho, and the recommended tags are best quality, masterpiece, highres, solo, {ayaka_tachibana_imocho:1.15}, short_hair, brown_hair, brown_eyes, open_mouth.
\nHow This Model Is Trained
\nThis model is trained with HCP-Diffusion. \nAnd the auto-training framework is maintained by DeepGHS Team.
\nWhy Some Preview Images Not Look Like Ayaka Tachibana Imocho
\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.
\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.
\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do
\nOur model has been published on huggingface repository - CyberHarem/ayaka_tachibana_imocho, where\nmodels of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/ayaka_tachibana_imocho, which may be helpful to you.
\nWhy Not Just Using The Better-Selected Images
\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.
\nWhy Can't the Desired Character Outfits Be Accurately Generated
\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.
\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\".
\nFor the following groups, it is not recommended to use this model and we express regret:
\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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+ "female",
+ "brown eyes",
+ "game character",
+ "short hair",
+ "open mouth",
+ "brown hair",
+ "girl\uff0c",
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+ ],
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+ "allowCommercialUse": "Sell",
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+ "modelId": 137302,
+ "name": "v1.4",
+ "createdAt": "2023-08-30T03:40:23.168Z",
+ "updatedAt": "2023-08-30T03:42:12.301Z",
+ "trainedWords": [
+ "hiyori_kotobuki_imocho",
+ "short_hair, wings, breasts, hair_bow, bow, cleavage, orange_hair, red_eyes, open_mouth, brown_hair, medium_breasts"
+ ],
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+ "description": "",
+ "stats": {
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+ "model": {
+ "name": "Hiyori Kotobuki (Recently, My Sister Is Unusual)",
+ "type": "LORA",
+ "nsfw": false,
+ "poi": false,
+ "description": "\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 0.6.
\n
\nHow to Use This Model
\nTHIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!. \nIn this case, you need to download both hiyori_kotobuki_imocho.pt and \nhiyori_kotobuki_imocho.safetensors, then use hiyori_kotobuki_imocho.pt as texture inversion embedding, and use\nhiyori_kotobuki_imocho.safetensors as LoRA at the same time.
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\n(Translated with ChatGPT)
\nThe trigger word is hiyori_kotobuki_imocho, and the recommended tags are best quality, masterpiece, highres, solo, {hiyori_kotobuki_imocho:1.15}, short_hair, wings, breasts, hair_bow, bow, cleavage, orange_hair, red_eyes, open_mouth, brown_hair, medium_breasts.
\nHow This Model Is Trained
\nThis model is trained with HCP-Diffusion. \nAnd the auto-training framework is maintained by DeepGHS Team.
\nWhy Some Preview Images Not Look Like Hiyori Kotobuki Imocho
\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.
\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.
\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do
\nOur model has been published on huggingface repository - CyberHarem/hiyori_kotobuki_imocho, where\nmodels of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/hiyori_kotobuki_imocho, which may be helpful to you.
\nWhy Not Just Using The Better-Selected Images
\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.
\nWhy Can't the Desired Character Outfits Be Accurately Generated
\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.
\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\".
\nFor the following groups, it is not recommended to use this model and we express regret:
\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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+ "prompt": "best quality, masterpiece, highres, solo, {hiyori_kotobuki_imocho:1.15}, short_hair, wings, breasts, hair_bow, bow, cleavage, orange_hair, red_eyes, open_mouth, brown_hair, medium_breasts, 1girl, anime_coloring, frown, pink_eyes, v-shaped_eyebrows, >:\\(, angel_wings, clenched_hands, parody, pink_bow, bare_shoulders",
+ "sampler": "DPM++ 2M Karras",
+ "cfgScale": 8,
+ "clipSkip": 2,
+ "resources": [
+ {
+ "hash": "54ef3e3610",
+ "name": "Meina/MeinaMix_V11",
+ "type": "model"
+ }
+ ],
+ "Model hash": "54ef3e3610",
+ "negativePrompt": "{worst quality, low quality:1.40}, {zombie, sketch, interlocked fingers, comic:1.10}, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, white border"
+ }
+ },
+ {
+ "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/cd2e339d-4a86-4290-83c2-379f8721418d/width=450/2271059.jpeg",
+ "nsfw": "Mature",
+ "width": 512,
+ "height": 768,
+ "hash": "UPLNlbtRGw-=suv}OaKQN3NHtQR*JCt8M|nO",
+ "type": "image",
+ "metadata": {},
+ "meta": {
+ "Size": "512x768",
+ "seed": 130323596,
+ "Model": "Meina/MeinaMix_V11",
+ "steps": 30,
+ "hashes": {
+ "model": "54ef3e3610"
+ },
+ "prompt": "best quality, masterpiece, highres, solo, {hiyori_kotobuki_imocho:1.15}, short_hair, wings, breasts, hair_bow, bow, cleavage, orange_hair, red_eyes, open_mouth, brown_hair, medium_breasts, 1girl, angel_wings, bikini, swimsuit, anime_coloring, yellow_bikini, navel, twintails",
+ "sampler": "DPM++ 2M Karras",
+ "cfgScale": 8,
+ "clipSkip": 2,
+ "resources": [
+ {
+ "hash": "54ef3e3610",
+ "name": "Meina/MeinaMix_V11",
+ "type": "model"
+ }
+ ],
+ "Model hash": "54ef3e3610",
+ "negativePrompt": "{worst quality, low quality:1.40}, {zombie, sketch, interlocked fingers, comic:1.10}, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, white border"
+ }
+ },
+ {
+ "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/3ccc6399-5e73-493e-b8cd-407fa0c84511/width=450/2271060.jpeg",
+ "nsfw": "None",
+ "width": 512,
+ "height": 768,
+ "hash": "UPMsTZIB7JIVVXInkpM|xvRPRitk?wobxbtS",
+ "type": "image",
+ "metadata": {},
+ "meta": {
+ "Size": "512x768",
+ "seed": 1165764790,
+ "Model": "Meina/MeinaMix_V11",
+ "steps": 30,
+ "hashes": {
+ "model": "54ef3e3610"
+ },
+ "prompt": "best quality, masterpiece, highres, solo, {hiyori_kotobuki_imocho:1.15}, short_hair, wings, breasts, hair_bow, bow, cleavage, orange_hair, red_eyes, open_mouth, brown_hair, medium_breasts, 1girl, anime_coloring, blush_stickers, choker, upper_body, hat, pink_eyes, :d, parody, smile, v, white_wings",
+ "sampler": "DPM++ 2M Karras",
+ "cfgScale": 8,
+ "clipSkip": 2,
+ "resources": [
+ {
+ "hash": "54ef3e3610",
+ "name": "Meina/MeinaMix_V11",
+ "type": "model"
+ }
+ ],
+ "Model hash": "54ef3e3610",
+ "negativePrompt": "{worst quality, low quality:1.40}, {zombie, sketch, interlocked fingers, comic:1.10}, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, white border"
+ }
+ },
+ {
+ "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/cd07ba18-dfcf-4a68-bf98-c12ad06d0327/width=450/2271061.jpeg",
+ "nsfw": "None",
+ "width": 512,
+ "height": 768,
+ "hash": "UIJ*6hmk29J.^+R5o$J-0fRjVaX8JOx]W*xZ",
+ "type": "image",
+ "metadata": {},
+ "meta": {
+ "Size": "512x768",
+ "seed": 2134239871,
+ "Model": "Meina/MeinaMix_V11",
+ "steps": 30,
+ "hashes": {
+ "model": "54ef3e3610"
+ },
+ "prompt": "best quality, masterpiece, highres, solo, {hiyori_kotobuki_imocho:1.15}, short_hair, wings, breasts, hair_bow, bow, cleavage, orange_hair, red_eyes, open_mouth, brown_hair, medium_breasts, 1girl, blush_stickers, school_uniform, serafuku, smile, skirt, tokisadame_school_uniform",
+ "sampler": "DPM++ 2M Karras",
+ "cfgScale": 8,
+ "clipSkip": 2,
+ "resources": [
+ {
+ "hash": "54ef3e3610",
+ "name": "Meina/MeinaMix_V11",
+ "type": "model"
+ }
+ ],
+ "Model hash": "54ef3e3610",
+ "negativePrompt": "{worst quality, low quality:1.40}, {zombie, sketch, interlocked fingers, comic:1.10}, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, white border"
+ }
+ },
+ {
+ "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/97f34d38-7a68-4bad-838e-5dfb1f6fde3b/width=450/2271062.jpeg",
+ "nsfw": "Soft",
+ "width": 512,
+ "height": 768,
+ "hash": "URKATo-V0#Os4U,@acNGE1S#s+WUkra#M|og",
+ "type": "image",
+ "metadata": {},
+ "meta": {
+ "Size": "512x768",
+ "seed": 758691538,
+ "Model": "Meina/MeinaMix_V11",
+ "steps": 30,
+ "hashes": {
+ "model": "54ef3e3610"
+ },
+ "prompt": "best quality, masterpiece, highres, solo, {night:1.10}, {starry sky:1.10}, beach, beautiful detailed sky, {extremely detailed background:1.20}, {hiyori_kotobuki_imocho:1.15}, {standing:1.10}, looking at viewer, {bikini:1.30}, short_hair, wings, breasts, hair_bow, bow, cleavage, orange_hair, red_eyes, open_mouth, brown_hair, medium_breasts, light smile",
+ "sampler": "DPM++ 2M Karras",
+ "cfgScale": 8,
+ "clipSkip": 2,
+ "resources": [
+ {
+ "hash": "54ef3e3610",
+ "name": "Meina/MeinaMix_V11",
+ "type": "model"
+ }
+ ],
+ "Model hash": "54ef3e3610",
+ "negativePrompt": "{worst quality, low quality:1.40}, {zombie, sketch, interlocked fingers, comic:1.10}, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, white border"
+ }
+ },
+ {
+ "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/4b179b7b-9b93-4513-8a72-507856c28ed0/width=450/2271063.jpeg",
+ "nsfw": "Soft",
+ "width": 512,
+ "height": 768,
+ "hash": "UTK,:FMy0yxu-UwJxaJ8pZRk%2jr-VIVS0M_",
+ "type": "image",
+ "metadata": {},
+ "meta": {
+ "Size": "512x768",
+ "seed": 1391022790,
+ "Model": "Meina/MeinaMix_V11",
+ "steps": 30,
+ "hashes": {
+ "model": "54ef3e3610"
+ },
+ "prompt": "best quality, masterpiece, highres, solo, {hiyori_kotobuki_imocho:1.15}, short_hair, wings, breasts, hair_bow, bow, cleavage, orange_hair, red_eyes, open_mouth, brown_hair, medium_breasts",
+ "sampler": "DPM++ 2M Karras",
+ "cfgScale": 8,
+ "clipSkip": 2,
+ "resources": [
+ {
+ "hash": "54ef3e3610",
+ "name": "Meina/MeinaMix_V11",
+ "type": "model"
+ }
+ ],
+ "Model hash": "54ef3e3610",
+ "negativePrompt": "{worst quality, low quality:1.40}, {zombie, sketch, interlocked fingers, comic:1.10}, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, white border"
+ }
+ },
+ {
+ "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/374046a2-8f98-403f-99da-35271383a5ff/width=450/2271064.jpeg",
+ "nsfw": "None",
+ "width": 512,
+ "height": 768,
+ "hash": "UPJ@d,9G0yR$x9M|t,NGxss;Ri%MITRjs+bI",
+ "type": "image",
+ "metadata": {},
+ "meta": {
+ "Size": "512x768",
+ "seed": 1000134507,
+ "Model": "Meina/MeinaMix_V11",
+ "steps": 30,
+ "hashes": {
+ "model": "54ef3e3610"
+ },
+ "prompt": "best quality, masterpiece, highres, solo, {maid:1.40}, {long maid dress:1.15}, {hiyori_kotobuki_imocho:1.15}, short_hair, wings, breasts, hair_bow, bow, cleavage, orange_hair, red_eyes, open_mouth, brown_hair, medium_breasts",
+ "sampler": "DPM++ 2M Karras",
+ "cfgScale": 8,
+ "clipSkip": 2,
+ "resources": [
+ {
+ "hash": "54ef3e3610",
+ "name": "Meina/MeinaMix_V11",
+ "type": "model"
+ }
+ ],
+ "Model hash": "54ef3e3610",
+ "negativePrompt": "nsfw, sexy, underwear, bra, fishnet, skin of legs, bare legs, bare skin, navel, {worst quality, low quality:1.40}, {zombie, sketch, interlocked fingers, comic:1.10}, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, white border"
+ }
+ },
+ {
+ "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9d8df586-94df-4c83-ba7d-fbe42cafd74f/width=450/2271065.jpeg",
+ "nsfw": "None",
+ "width": 512,
+ "height": 768,
+ "hash": "UUK9[aWr0|s.I:enM{Nb4Ts:N^kCxvxasmkC",
+ "type": "image",
+ "metadata": {},
+ "meta": {
+ "Size": "512x768",
+ "seed": 1949691695,
+ "Model": "Meina/MeinaMix_V11",
+ "steps": 30,
+ "hashes": {
+ "model": "54ef3e3610"
+ },
+ "prompt": "best quality, masterpiece, highres, solo, {white kimono:1.35}, {red hakama:1.35}, {wide sleeves:1.20}, {hiyori_kotobuki_imocho:1.15}, short_hair, wings, breasts, hair_bow, bow, cleavage, orange_hair, red_eyes, open_mouth, brown_hair, medium_breasts",
+ "sampler": "DPM++ 2M Karras",
+ "cfgScale": 8,
+ "clipSkip": 2,
+ "resources": [
+ {
+ "hash": "54ef3e3610",
+ "name": "Meina/MeinaMix_V11",
+ "type": "model"
+ }
+ ],
+ "Model hash": "54ef3e3610",
+ "negativePrompt": "nsfw, sexy, underwear, bra, fishnet, skin of legs, bare legs, bare skin, navel, {worst quality, low quality:1.40}, {zombie, sketch, interlocked fingers, comic:1.10}, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, white border"
+ }
+ },
+ {
+ "url": "https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9aec98d8-2040-4791-8d09-94a88f0a19a2/width=450/2271066.jpeg",
+ "nsfw": "None",
+ "width": 512,
+ "height": 768,
+ "hash": "UGGk,z=|0|56QmMxKjI;^kxa9Zbc0Jxbsm%L",
+ "type": "image",
+ "metadata": {},
+ "meta": {
+ "Size": "512x768",
+ "seed": 583848827,
+ "Model": "Meina/MeinaMix_V11",
+ "steps": 30,
+ "hashes": {
+ "model": "54ef3e3610"
+ },
+ "prompt": "best quality, masterpiece, highres, solo, {black business suit:1.40}, {tie:1.20}, {sunglasses:1.25}, {white gloves:1.15}, {white shirt:1.10}, {black skirt:1.15}, {smoking:1.20}, handsome, {hiyori_kotobuki_imocho:1.15}, short_hair, wings, breasts, hair_bow, bow, cleavage, orange_hair, red_eyes, open_mouth, brown_hair, medium_breasts",
+ "sampler": "DPM++ 2M Karras",
+ "cfgScale": 8,
+ "clipSkip": 2,
+ "resources": [
+ {
+ "hash": "54ef3e3610",
+ "name": "Meina/MeinaMix_V11",
+ "type": "model"
+ }
+ ],
+ "Model hash": "54ef3e3610",
+ "negativePrompt": "nsfw, sexy, underwear, bra, fishnet, skin of legs, bare legs, bare skin, navel, {worst quality, low quality:1.40}, {zombie, sketch, interlocked fingers, comic:1.10}, lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry, white border"
+ }
+ }
+ ],
+ "downloadUrl": "https://civitai.com/api/download/models/151512"
+}
\ No newline at end of file
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+{
+ "id": 151514,
+ "modelId": 137303,
+ "name": "v1.4",
+ "createdAt": "2023-08-30T03:47:43.685Z",
+ "updatedAt": "2023-08-30T03:49:12.904Z",
+ "trainedWords": [
+ "mitsuki_kanzaki_imocho",
+ "black_hair, long_hair, bangs, purple_eyes"
+ ],
+ "trainingStatus": null,
+ "trainingDetails": null,
+ "baseModel": "SD 1.5",
+ "baseModelType": null,
+ "earlyAccessTimeFrame": 0,
+ "description": "",
+ "stats": {
+ "downloadCount": 119,
+ "ratingCount": 0,
+ "rating": 0
+ },
+ "model": {
+ "name": "Mitsuki Kanzaki (Recently, My Sister Is Unusual)",
+ "type": "LORA",
+ "nsfw": false,
+ "poi": false,
+ "description": "\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 0.6.
\n
\nHow to Use This Model
\nTHIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!. \nIn this case, you need to download both mitsuki_kanzaki_imocho.pt and \nmitsuki_kanzaki_imocho.safetensors, then use mitsuki_kanzaki_imocho.pt as texture inversion embedding, and use\nmitsuki_kanzaki_imocho.safetensors as LoRA at the same time.
\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\u3001mitsuki_kanzaki_imocho.pt\u3068mitsuki_kanzaki_imocho.safetensors\u306e\u4e21\u65b9\u3092\u30c0\u30a6\u30f3\u30ed\u30fc\u30c9\n\u3059\u308b\u5fc5\u8981\u304c\u3042\u308a\u307e\u3059\u3002mitsuki_kanzaki_imocho.pt\u3092\u30c6\u30af\u30b9\u30c1\u30e3\u53cd\u8ee2\u57cb\u3081\u8fbc\u307f\u3068\u3057\u3066\u4f7f\u7528\u3057\u3001\u540c\u6642\u306bmitsuki_kanzaki_imocho.safetensors\u3092LoRA\u3068\u3057\u3066\u4f7f\u7528\u3057\u3066\u304f\u3060\u3055\u3044\u3002
\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\u8f7dmitsuki_kanzaki_imocho.pt\u548cmitsuki_kanzaki_imocho.safetensors\u8fd9\u4e24\u4e2a\u6587\u4ef6\uff0c\u7136\u540e\u5c06mitsuki_kanzaki_imocho.pt\u7528\u4f5c\u7eb9\u7406\u53cd\u8f6c\u5d4c\u5165\uff0c\n\u540c\u65f6\u4f7f\u7528mitsuki_kanzaki_imocho.safetensors\u4f5c\u4e3aLoRA\u3002
\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 mitsuki_kanzaki_imocho.pt\uc640 mitsuki_kanzaki_imocho.safetensors \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 mitsuki_kanzaki_imocho.pt\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 mitsuki_kanzaki_imocho.safetensors\uc744 LoRA\ub85c \uc0ac\uc6a9\ud558\uc154\uc57c \ud569\ub2c8\ub2e4.
\n(Translated with ChatGPT)
\nThe trigger word is mitsuki_kanzaki_imocho, and the recommended tags are best quality, masterpiece, highres, solo, {mitsuki_kanzaki_imocho:1.15}, black_hair, long_hair, bangs, purple_eyes.
\nHow This Model Is Trained
\nThis model is trained with HCP-Diffusion. \nAnd the auto-training framework is maintained by DeepGHS Team.
\nWhy Some Preview Images Not Look Like Mitsuki Kanzaki Imocho
\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.
\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.
\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do
\nOur model has been published on huggingface repository - CyberHarem/mitsuki_kanzaki_imocho, where\nmodels of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/mitsuki_kanzaki_imocho, which may be helpful to you.
\nWhy Not Just Using The Better-Selected Images
\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.
\nWhy Can't the Desired Character Outfits Be Accurately Generated
\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.
\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\".
\nFor the following groups, it is not recommended to use this model and we express regret:
\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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@@ -0,0 +1,414 @@
+{
+ "id": 151530,
+ "modelId": 137317,
+ "name": "v1.4",
+ "createdAt": "2023-08-30T04:26:23.407Z",
+ "updatedAt": "2023-08-30T04:28:39.527Z",
+ "trainedWords": [
+ "moa_torii_imocho",
+ "long_hair, twintails, black_hair, green_eyes, yellow_eyes, open_mouth"
+ ],
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+ "trainingDetails": null,
+ "baseModel": "SD 1.5",
+ "baseModelType": null,
+ "earlyAccessTimeFrame": 0,
+ "description": "",
+ "stats": {
+ "downloadCount": 102,
+ "ratingCount": 0,
+ "rating": 0
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+ "model": {
+ "name": "Moa Torii (Recently, My Sister Is Unusual)",
+ "type": "LORA",
+ "nsfw": false,
+ "poi": false,
+ "description": "\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 0.6.
\n
\nHow to Use This Model
\nTHIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!. \nIn this case, you need to download both moa_torii_imocho.pt and \nmoa_torii_imocho.safetensors, then use moa_torii_imocho.pt as texture inversion embedding, and use\nmoa_torii_imocho.safetensors as LoRA at the same time.
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\n(Translated with ChatGPT)
\nThe trigger word is moa_torii_imocho, and the recommended tags are best quality, masterpiece, highres, solo, {moa_torii_imocho:1.15}, long_hair, twintails, black_hair, green_eyes, yellow_eyes, open_mouth.
\nHow This Model Is Trained
\nThis model is trained with HCP-Diffusion. \nAnd the auto-training framework is maintained by DeepGHS Team.
\nWhy Some Preview Images Not Look Like Moa Torii Imocho
\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.
\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.
\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do
\nOur model has been published on huggingface repository - CyberHarem/moa_torii_imocho, where\nmodels of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/moa_torii_imocho, which may be helpful to you.
\nWhy Not Just Using The Better-Selected Images
\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.
\nWhy Can't the Desired Character Outfits Be Accurately Generated
\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.
\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\".
\nFor the following groups, it is not recommended to use this model and we express regret:
\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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+ "green eyes",
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+ "open mouth",
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+{
+ "id": 151537,
+ "modelId": 137326,
+ "name": "v1.4",
+ "createdAt": "2023-08-30T04:37:03.350Z",
+ "updatedAt": "2023-08-30T04:38:28.621Z",
+ "trainedWords": [
+ "neko_imocho",
+ "glasses, long_hair, purple_hair, purple_eyes, hair_ornament, hairclip, blue_eyes"
+ ],
+ "trainingStatus": null,
+ "trainingDetails": null,
+ "baseModel": "SD 1.5",
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+ "description": "",
+ "stats": {
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+ "model": {
+ "name": "Neko (Recently, My Sister Is Unusual)",
+ "type": "LORA",
+ "nsfw": false,
+ "poi": false,
+ "description": "\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 0.6.
\n
\nHow to Use This Model
\nTHIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!. \nIn this case, you need to download both neko_imocho.pt and \nneko_imocho.safetensors, then use neko_imocho.pt as texture inversion embedding, and use\nneko_imocho.safetensors as LoRA at the same time.
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\n(Translated with ChatGPT)
\nThe trigger word is neko_imocho, and the recommended tags are best quality, masterpiece, highres, solo, {neko_imocho:1.15}, glasses, long_hair, purple_hair, purple_eyes, hair_ornament, hairclip, blue_eyes.
\nHow This Model Is Trained
\nThis model is trained with HCP-Diffusion. \nAnd the auto-training framework is maintained by DeepGHS Team.
\nWhy Some Preview Images Not Look Like Neko Imocho
\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.
\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.
\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do
\nOur model has been published on huggingface repository - CyberHarem/neko_imocho, where\nmodels of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/neko_imocho, which may be helpful to you.
\nWhy Not Just Using The Better-Selected Images
\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.
\nWhy Can't the Desired Character Outfits Be Accurately Generated
\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.
\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\".
\nFor the following groups, it is not recommended to use this model and we express regret:
\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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+ "height": 768,
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+ "steps": 30,
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+ "sampler": "DPM++ 2M Karras",
+ "cfgScale": 8,
+ "clipSkip": 2,
+ "resources": [
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+ "type": "model"
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+ "clipSkip": 2,
+ "resources": [
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+ "steps": 30,
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+ "sampler": "DPM++ 2M Karras",
+ "cfgScale": 8,
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+ "modelId": 137304,
+ "name": "v1.4",
+ "createdAt": "2023-08-30T03:53:20.159Z",
+ "updatedAt": "2023-08-30T03:55:53.096Z",
+ "trainedWords": [
+ "yukina_kiritani_imocho",
+ "ponytail, brown_hair, long_hair, hair_ribbon, ribbon, red_ribbon, red_eyes"
+ ],
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+ "description": "",
+ "stats": {
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+ "model": {
+ "name": "Yukina Kiritani (Recently, My Sister Is Unusual)",
+ "type": "LORA",
+ "nsfw": false,
+ "poi": false,
+ "description": "\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 0.6.
\n
\nHow to Use This Model
\nTHIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!. \nIn this case, you need to download both yukina_kiritani_imocho.pt and \nyukina_kiritani_imocho.safetensors, then use yukina_kiritani_imocho.pt as texture inversion embedding, and use\nyukina_kiritani_imocho.safetensors as LoRA at the same time.
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\n(Translated with ChatGPT)
\nThe trigger word is yukina_kiritani_imocho, and the recommended tags are best quality, masterpiece, highres, solo, {yukina_kiritani_imocho:1.15}, ponytail, brown_hair, long_hair, hair_ribbon, ribbon, red_ribbon, red_eyes.
\nHow This Model Is Trained
\nThis model is trained with HCP-Diffusion. \nAnd the auto-training framework is maintained by DeepGHS Team.
\nWhy Some Preview Images Not Look Like Yukina Kiritani Imocho
\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.
\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.
\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do
\nOur model has been published on huggingface repository - CyberHarem/yukina_kiritani_imocho, where\nmodels of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/yukina_kiritani_imocho, which may be helpful to you.
\nWhy Not Just Using The Better-Selected Images
\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.
\nWhy Can't the Desired Character Outfits Be Accurately Generated
\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.
\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\".
\nFor the following groups, it is not recommended to use this model and we express regret:
\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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+ "description": "Rita Ainsworth from the anime Sakurasou no Pet na Kanojo or The Pet Girl of Sakurasou.
This one is more on the lower quality side so I will be updating this one in the future. Honestly, I'm just a little tired of working on it so I will put it out in the best form right now, and if people like it they can download it until I get back to this.
A good weight would be around 0.5 ~ 0.75.
If you have any problems let me know, but I WILL return to this one and overhaul it.
As usual, Enjoy! (I hope people will enjoy it in this state LOL)
",
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+}
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+ "name": "v1.4",
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+ "updatedAt": "2023-08-31T03:15:18.562Z",
+ "trainedWords": [
+ "ashisu_sahono_mangakasantoassistantsanto",
+ "black_hair, short_hair, brown_eyes, open_mouth, hair_bobbles, hair_ornament, side_ponytail, smile"
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+ "model": {
+ "name": "Ashisu Sahono (Mangaka-san to Assistant-san to)",
+ "type": "LORA",
+ "nsfw": false,
+ "poi": false,
+ "description": "\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 0.6.
\n
\nHow to Use This Model
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\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 ashisu_sahono_mangakasantoassistantsanto.pt\uc640 ashisu_sahono_mangakasantoassistantsanto.safetensors \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 ashisu_sahono_mangakasantoassistantsanto.pt\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 ashisu_sahono_mangakasantoassistantsanto.safetensors\uc744 LoRA\ub85c \uc0ac\uc6a9\ud558\uc154\uc57c \ud569\ub2c8\ub2e4.
\n(Translated with ChatGPT)
\nThe trigger word is ashisu_sahono_mangakasantoassistantsanto, and the recommended tags are best quality, masterpiece, highres, solo, {ashisu_sahono_mangakasantoassistantsanto:1.15}, black_hair, short_hair, brown_eyes, open_mouth, hair_bobbles, hair_ornament, side_ponytail, smile.
\nHow This Model Is Trained
\nThis model is trained with HCP-Diffusion. \nAnd the auto-training framework is maintained by DeepGHS Team.
\nWhy Some Preview Images Not Look Like Ashisu Sahono Mangakasantoassistantsanto
\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.
\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.
\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do
\nOur model has been published on huggingface repository - CyberHarem/ashisu_sahono_mangakasantoassistantsanto, where\nmodels of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/ashisu_sahono_mangakasantoassistantsanto, which may be helpful to you.
\nWhy Not Just Using The Better-Selected Images
\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.
\nWhy Can't the Desired Character Outfits Be Accurately Generated
\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.
\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\".
\nFor the following groups, it is not recommended to use this model and we express regret:
\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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+ "updatedAt": "2023-08-31T03:30:32.886Z",
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+ "description": "",
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+ "name": "Ashisu Sahoto (Mangaka-san to Assistant-san to)",
+ "type": "LORA",
+ "nsfw": false,
+ "poi": false,
+ "description": "\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 0.6.
\n
\nHow to Use This Model
\nTHIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!. \nIn this case, you need to download both ashisu_sahoto_mangakasantoassistantsanto.pt and \nashisu_sahoto_mangakasantoassistantsanto.safetensors, then use ashisu_sahoto_mangakasantoassistantsanto.pt as texture inversion embedding, and use\nashisu_sahoto_mangakasantoassistantsanto.safetensors as LoRA at the same time.
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\n(Translated with ChatGPT)
\nThe trigger word is ashisu_sahoto_mangakasantoassistantsanto, and the recommended tags are best quality, masterpiece, highres, solo, {ashisu_sahoto_mangakasantoassistantsanto:1.15}, long_hair, black_hair, brown_eyes.
\nHow This Model Is Trained
\nThis model is trained with HCP-Diffusion. \nAnd the auto-training framework is maintained by DeepGHS Team.
\nWhy Some Preview Images Not Look Like Ashisu Sahoto Mangakasantoassistantsanto
\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.
\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.
\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do
\nOur model has been published on huggingface repository - CyberHarem/ashisu_sahoto_mangakasantoassistantsanto, where\nmodels of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/ashisu_sahoto_mangakasantoassistantsanto, which may be helpful to you.
\nWhy Not Just Using The Better-Selected Images
\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.
\nWhy Can't the Desired Character Outfits Be Accurately Generated
\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.
\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\".
\nFor the following groups, it is not recommended to use this model and we express regret:
\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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+ "modelId": 137858,
+ "name": "v1.4",
+ "createdAt": "2023-08-31T03:16:39.273Z",
+ "updatedAt": "2023-08-31T03:18:10.927Z",
+ "trainedWords": [
+ "fuwa_rinna_mangakasantoassistantsanto",
+ "brown_hair, long_hair, open_mouth, blush, purple_eyes, smile, closed_eyes"
+ ],
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+ "baseModel": "SD 1.5",
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+ "description": "",
+ "stats": {
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+ "ratingCount": 1,
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+ "model": {
+ "name": "Fuwa Rinna (Mangaka-san to Assistant-san to)",
+ "type": "LORA",
+ "nsfw": false,
+ "poi": false,
+ "description": "\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 0.6.
\n
\nHow to Use This Model
\nTHIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!. \nIn this case, you need to download both fuwa_rinna_mangakasantoassistantsanto.pt and \nfuwa_rinna_mangakasantoassistantsanto.safetensors, then use fuwa_rinna_mangakasantoassistantsanto.pt as texture inversion embedding, and use\nfuwa_rinna_mangakasantoassistantsanto.safetensors as LoRA at the same time.
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\n(Translated with ChatGPT)
\nThe trigger word is fuwa_rinna_mangakasantoassistantsanto, and the recommended tags are best quality, masterpiece, highres, solo, {fuwa_rinna_mangakasantoassistantsanto:1.15}, brown_hair, long_hair, open_mouth, blush, purple_eyes, smile, closed_eyes.
\nHow This Model Is Trained
\nThis model is trained with HCP-Diffusion. \nAnd the auto-training framework is maintained by DeepGHS Team.
\nWhy Some Preview Images Not Look Like Fuwa Rinna Mangakasantoassistantsanto
\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.
\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.
\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do
\nOur model has been published on huggingface repository - CyberHarem/fuwa_rinna_mangakasantoassistantsanto, where\nmodels of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/fuwa_rinna_mangakasantoassistantsanto, which may be helpful to you.
\nWhy Not Just Using The Better-Selected Images
\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.
\nWhy Can't the Desired Character Outfits Be Accurately Generated
\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.
\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\".
\nFor the following groups, it is not recommended to use this model and we express regret:
\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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+ "modelId": 137862,
+ "name": "v1.4",
+ "createdAt": "2023-08-31T03:19:42.348Z",
+ "updatedAt": "2023-08-31T03:22:04.639Z",
+ "trainedWords": [
+ "kuroi_sena_mangakasantoassistantsanto",
+ "blonde_hair, long_hair, green_eyes, blush, open_mouth"
+ ],
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+ "description": "",
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+ "name": "Kuroi Sena (Mangaka-san to Assistant-san to)",
+ "type": "LORA",
+ "nsfw": false,
+ "poi": false,
+ "description": "\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 0.6.
\n
\nHow to Use This Model
\nTHIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!. \nIn this case, you need to download both kuroi_sena_mangakasantoassistantsanto.pt and \nkuroi_sena_mangakasantoassistantsanto.safetensors, then use kuroi_sena_mangakasantoassistantsanto.pt as texture inversion embedding, and use\nkuroi_sena_mangakasantoassistantsanto.safetensors as LoRA at the same time.
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\n(Translated with ChatGPT)
\nThe trigger word is kuroi_sena_mangakasantoassistantsanto, and the recommended tags are best quality, masterpiece, highres, solo, {kuroi_sena_mangakasantoassistantsanto:1.15}, blonde_hair, long_hair, green_eyes, blush, open_mouth.
\nHow This Model Is Trained
\nThis model is trained with HCP-Diffusion. \nAnd the auto-training framework is maintained by DeepGHS Team.
\nWhy Some Preview Images Not Look Like Kuroi Sena Mangakasantoassistantsanto
\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.
\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.
\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do
\nOur model has been published on huggingface repository - CyberHarem/kuroi_sena_mangakasantoassistantsanto, where\nmodels of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/kuroi_sena_mangakasantoassistantsanto, which may be helpful to you.
\nWhy Not Just Using The Better-Selected Images
\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.
\nWhy Can't the Desired Character Outfits Be Accurately Generated
\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.
\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\".
\nFor the following groups, it is not recommended to use this model and we express regret:
\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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+ "name": "v1.4",
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+ "nsfw": false,
+ "poi": false,
+ "description": "\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 0.6.
\n
\nHow to Use This Model
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\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 minano_matome_mangakasantoassistantsanto.pt\uc640 minano_matome_mangakasantoassistantsanto.safetensors \ub450 \ud30c\uc77c\uc744 \ubaa8\ub450 \ub2e4\uc6b4\ub85c\ub4dc\ud558\uc2e0 \ub2e4\uc74c\uc5d0 minano_matome_mangakasantoassistantsanto.pt\uc744 \ud14d\uc2a4\ucc98 \ubc18\uc804 \uc784\ubca0\ub529\uc73c\ub85c \uc0ac\uc6a9\ud558\uace0, \n\ub3d9\uc2dc\uc5d0 minano_matome_mangakasantoassistantsanto.safetensors\uc744 LoRA\ub85c \uc0ac\uc6a9\ud558\uc154\uc57c \ud569\ub2c8\ub2e4.
\n(Translated with ChatGPT)
\nThe trigger word is minano_matome_mangakasantoassistantsanto, and the recommended tags are best quality, masterpiece, highres, solo, {minano_matome_mangakasantoassistantsanto:1.15}, green_hair, short_hair, yellow_eyes.
\nHow This Model Is Trained
\nThis model is trained with HCP-Diffusion. \nAnd the auto-training framework is maintained by DeepGHS Team.
\nWhy Some Preview Images Not Look Like Minano Matome Mangakasantoassistantsanto
\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.
\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.
\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do
\nOur model has been published on huggingface repository - CyberHarem/minano_matome_mangakasantoassistantsanto, where\nmodels of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/minano_matome_mangakasantoassistantsanto, which may be helpful to you.
\nWhy Not Just Using The Better-Selected Images
\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.
\nWhy Can't the Desired Character Outfits Be Accurately Generated
\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.
\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\".
\nFor the following groups, it is not recommended to use this model and we express regret:
\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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+}
\ No newline at end of file
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+ "updatedAt": "2023-08-31T03:25:52.748Z",
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+ "blonde_hair, short_hair, open_mouth, brown_eyes, red_eyes"
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+ "description": "",
+ "stats": {
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+ "model": {
+ "name": "Otosuna Mihari (Mangaka-san to Assistant-san to)",
+ "type": "LORA",
+ "nsfw": false,
+ "poi": false,
+ "description": "\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 0.6.
\n
\nHow to Use This Model
\nTHIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!. \nIn this case, you need to download both otosuna_mihari_mangakasantoassistantsanto.pt and \notosuna_mihari_mangakasantoassistantsanto.safetensors, then use otosuna_mihari_mangakasantoassistantsanto.pt as texture inversion embedding, and use\notosuna_mihari_mangakasantoassistantsanto.safetensors as LoRA at the same time.
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\n(Translated with ChatGPT)
\nThe trigger word is otosuna_mihari_mangakasantoassistantsanto, and the recommended tags are best quality, masterpiece, highres, solo, {otosuna_mihari_mangakasantoassistantsanto:1.15}, blonde_hair, short_hair, open_mouth, brown_eyes, red_eyes.
\nHow This Model Is Trained
\nThis model is trained with HCP-Diffusion. \nAnd the auto-training framework is maintained by DeepGHS Team.
\nWhy Some Preview Images Not Look Like Otosuna Mihari Mangakasantoassistantsanto
\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.
\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.
\nI Felt This Model May Be Overfitting or Underfitting, What Shall I Do
\nOur model has been published on huggingface repository - CyberHarem/otosuna_mihari_mangakasantoassistantsanto, where\nmodels of all the steps are saved. Also, we published the training dataset on \nhuggingface dataset - CyberHarem/otosuna_mihari_mangakasantoassistantsanto, which may be helpful to you.
\nWhy Not Just Using The Better-Selected Images
\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.
\nWhy Can't the Desired Character Outfits Be Accurately Generated
\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.
\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\".
\nFor the following groups, it is not recommended to use this model and we express regret:
\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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Recommended use
Recommended weight: ~0.7
Recommended Prompt:
magahara_desumi, green eyes, blonde hair, short hair
Follow me on Twitter(X): @TakagiChikita
",
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+ "prompt": "masterpiece, best quality, magahara_desumi, 1girl, solo, green eyes, blonde hair, short hair, smile, open mouth, looking at viewer, white serafuku, sailor collar, red neckerchief, short sleeves, outdoors, sunlight, sitting, pleated skirt,",
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+}
\ No newline at end of file
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+ "poi": false,
+ "description": "A weight of ~1.0 is recommended (You might want to adjust the weight depending on your model).
Feel free to experiment with other weights and share your results if you want to!
The main prompt is \"YamaiKaguya\".
For her school uniform try the following prompt:
\"YamaiKaguya, school uniform, ribbon, sweater vest, pleated skirt, blue skirt\"
Let me know if you have any issues.
Used embeddings for sample pictures:
negative_hand
If you have any feedback or questions just write in the comments or hit me up on reddit or discord.
",
+ "tags": [
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+ "character",
+ "female",
+ "date a live",
+ "woman"
+ ],
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Feel free to experiment with other weights and share your results if you want to!
The main prompt is \"YamaiYuzuru\".
For her school uniform try the following prompt:
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Let me know if you have any issues.
Used embeddings for sample pictures:
negative_hand
If you have any feedback or questions just write in the comments or hit me up on reddit or discord.
",
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patreon.com/Serkai
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facebook.com/Kaiseir
patreon.com/Serkai
https://ko-fi.com/kaiseir
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Trigger words:
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