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·
1037d23
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Parent(s):
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Upload 5 files
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akari_bluearchive1080.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:8c29e76ed5dbcab117109eed45bb863a855eeee71b61dbc3024ac16cc0a5274a
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size 13208
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akari_bluearchive1080.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:a103c490e0ccea937e11e746cc0ae14641fbe4e7ba5f7a01bd1e445bedbc4f64
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size 14722160
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akari_bluearchive720.pt
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version https://git-lfs.github.com/spec/v1
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oid sha256:14192f888654d469aef7dd02e80153182ab1c5b43cf7386ded485b075123a694
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size 13141
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akari_bluearchive720.safetensors
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version https://git-lfs.github.com/spec/v1
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oid sha256:f5ceb57f6e476448806b2946ccd7450fbc8ef5cf2a86b77cdc0101ad07507e11
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size 14722160
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akari_鰐渕アカリ_明里 (Blue Archive) - v1.4 Stable Diffusion LoRA Civitai.txt
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| 1 |
+
santa hat
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| 2 |
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deerdeer nosedeer glow
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| 3 |
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<https://civitai.com/models>
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| 4 |
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| 5 |
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<https://civitai.com/pricing><https://civitai.com/events/holiday2023>
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| 6 |
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/
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| 8 |
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Create
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| 10 |
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larry110864584's Avatar
|
| 12 |
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| 13 |
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0
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| 14 |
+
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+
Create
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| 16 |
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akari/鰐渕アカリ/明里 (Blue Archive)
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| 19 |
+
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| 20 |
+
77
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| 21 |
+
293
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| 22 |
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54
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+
3
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0
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3
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Updated: Dec 9, 2023
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| 29 |
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character <https://civitai.com/tag/character>
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| 30 |
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female <https://civitai.com/tag/female>bangs
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| 31 |
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<https://civitai.com/tag/bangs>blonde hair
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| 32 |
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<https://civitai.com/tag/blonde%20hair>breasts
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| 33 |
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<https://civitai.com/tag/breasts>long hair
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| 34 |
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<https://civitai.com/tag/long%20hair>
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| 35 |
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+ 15
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v1.4
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| 38 |
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| 39 |
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pattern_4.png
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| 40 |
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<https://civitai.com/images/4344664>
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👍
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2
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❤️
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4
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0
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17
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<https://civitai.com/images/4344674>
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❤️
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5
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0
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13
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<https://civitai.com/images/4344675>
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👍
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1
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❤️
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2
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0
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<https://civitai.com/images/4344676>
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👍
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1
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❤️
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0
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<https://civitai.com/images/4344677>
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👍
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1
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❤️
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17
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<https://civitai.com/images/4344678>
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❤️
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3
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0
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<https://civitai.com/images/4344683>
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👍
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1
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❤️
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2
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0
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yukata.png
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<https://civitai.com/images/4344685>
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❤️
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2
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0
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<https://civitai.com/images/4344686>
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2
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suit.png
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<https://civitai.com/images/4344687>
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❤️
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2
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Verified: 16 days ago
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SafeTensor
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Details
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Type
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LoRA
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<https://github.com/civitai/civitai/wiki/How-to-use-models#lora>
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Stats
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293
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54
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Uploaded
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Dec 9, 2023
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Base Model
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SD 1.5
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Training
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Steps: 3,600
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Epochs: 11
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Usage Tips
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Clip Skip: 2
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Trigger Words
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akari_bluearchive
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blonde_hair, long_hair, blue_eyes, virtual_youtuber, smile, blush,
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breasts, ribbon, side_ponytail, open_mouth, bangs, hair_ribbon,
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hair_between_eyes, large_breasts
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AutoV2
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5490B1B0D8
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2 Files
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LoRA (14.04 MB)
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Download
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<https://civitai.com/api/download/models/256393?type=Model&format=SafeTensor>
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Verified: 16 days ago
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SafeTensor
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LoRA (12.9 KB)
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Download
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<https://civitai.com/api/download/models/256393?type=Model&format=PickleTensor>
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Verified: 16 days ago
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PickleTensor
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Reviews
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3 version ratings
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5 out of 5
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Add Review
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<https://civitai.com/posts/create?modelId=227277&modelVersionId=256393&reviewing=true&returnUrl=/models/227277/akari-blue-archive>See Reviews <https://civitai.com/models/227277/reviews?modelVersionId=256393>
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narugo1992's Avatar
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<https://civitai.com/user/narugo1992>
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narugo1992
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<https://civitai.com/user/narugo1992>
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Joined Jul 24, 2023
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Tip
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#22
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<https://civitai.com/leaderboard/character?position=22>
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<https://huggingface.co/CyberHarem>
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<https://huggingface.co/BangumiBase>
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<https://huggingface.co/deepghs>
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<https://github.com/deepghs>
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<https://github.com/narugo1992>
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<https://tensor.art/u/644163821006558816>
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* Thanks to Civitai's TOS, some images cannot be uploaded. *THE FULL
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PREVIEW IMAGES CAN BE FOUND ON HUGGINGFACE
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<https://huggingface.co/CyberHarem/akari_bluearchive>*.
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* *THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!*
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* *The associated trigger words are only for reference, it may need to
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be adjusted at some times*.
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* Recommended weight of pt file is 0.5-1.0, weight of LoRA is 0.5-0.85.
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* Images were generated using a few fixed prompts and dataset-based
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clustered prompts. Random seeds were used, ruling out
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cherry-picking. *What you see here is what you can get.*
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* No specialized training was done for outfits. You can check our
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provided preview post to get the prompts corresponding to the outfits.
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* This model is trained with *355 images*.
|
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|
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How to Use This Model
|
| 384 |
+
|
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*THIS MODEL HAS TWO FILES. YOU NEED TO USE THEM TOGETHER!!!*. In this
|
| 386 |
+
case, you need to download both |akari_bluearchive.pt| and |akari_bluearchive.safetensors|, then *use |akari_bluearchive.pt| as texture inversion embedding, and use |akari_bluearchive.safetensors| as LoRA at the same time*.
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*このモデルには2つのファイルがあります。一緒に使う���要がありま
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す!!!*。 この場合、|akari_bluearchive.pt|と|akari_bluearchive.safetensors|の両方をダウンロード する必要があります。|akari_bluearchive.pt|をテクスチャ反転埋め込みとして使用し、同時に|akari_bluearchive.safetensors|をLoRAとして使用してください。
|
| 390 |
+
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*这个模型有两个文件。你需要同时使用它们!!!*。 在这种情况下,您需要下载|akari_bluearchive.pt|和|akari_bluearchive.safetensors|这两个文件,然后将|akari_bluearchive.pt|用作纹理反转嵌入, 同时使用|akari_bluearchive.safetensors|作为LoRA。
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*이 모델은 두 개의 파일이 있습니다. 두 파일을 함께 사용해야 합니다!!!*.
|
| 394 |
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이 경우에는 |akari_bluearchive.pt|와 |akari_bluearchive.safetensors| 두 파일을 모두 다운로드하신 다음에 *|akari_bluearchive.pt|을 텍스처 반전 임베딩으로 사용하고, 동시에 |akari_bluearchive.safetensors|을 LoRA로 사용하셔야 합니다*.
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(Translated with ChatGPT)
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The trigger word is |akari_bluearchive|, and the recommended tags are |best quality, masterpiece, highres, solo, {akari_bluearchive:1.15}, blonde_hair, long_hair, blue_eyes, virtual_youtuber, smile, blush, breasts, ribbon, side_ponytail, open_mouth, bangs, hair_ribbon, hair_between_eyes, upper_body, large_breasts|.
|
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+
|
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+
|
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How This Model Is Trained
|
| 402 |
+
|
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This model is trained with HCP-Diffusion
|
| 404 |
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<https://github.com/7eu7d7/HCP-Diffusion>. And the auto-training
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framework is maintained by DeepGHS Team <https://huggingface.co/deepghs>.
|
| 406 |
+
|
| 407 |
+
|
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Why Some Preview Images Not Look Like Akari Bluearchive
|
| 409 |
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|
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*All the prompt texts* used on the preview images (which can be viewed
|
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+
by clicking on the images) *are automatically generated using clustering
|
| 412 |
+
algorithms* based on feature information extracted from the training
|
| 413 |
+
dataset. The seed used during image generation is also randomly
|
| 414 |
+
generated, and the images have not undergone any selection or
|
| 415 |
+
modification. As a result, there is a possibility of the mentioned
|
| 416 |
+
issues occurring.
|
| 417 |
+
|
| 418 |
+
In practice, based on our internal testing, most models that experience
|
| 419 |
+
such issues perform better in actual usage than what is seen in the
|
| 420 |
+
preview images. *The only thing you may need to do is adjusting the tags
|
| 421 |
+
you are using*.
|
| 422 |
+
|
| 423 |
+
|
| 424 |
+
I Felt This Model May Be Overfitting or Underfitting, What Shall I Do
|
| 425 |
+
|
| 426 |
+
Our model has been published on huggingface repository -
|
| 427 |
+
CyberHarem/akari/bluearchive/
|
| 428 |
+
<https://huggingface.co/CyberHarem/akari_bluearchive>, where models of
|
| 429 |
+
all the steps are saved. Also, we published the training dataset on
|
| 430 |
+
huggingface dataset - CyberHarem/akaribluearchive
|
| 431 |
+
<https://huggingface.co/datasets/CyberHarem/akari_bluearchive>, which
|
| 432 |
+
may be helpful to you.
|
| 433 |
+
|
| 434 |
+
|
| 435 |
+
Why Not Just Using The Better-Selected Images
|
| 436 |
+
|
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Our model's entire process, from data crawling, training, to generating
|
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+
preview images and publishing, is *100% automated without any human
|
| 439 |
+
intervention*. It's an interesting experiment conducted by our team, and
|
| 440 |
+
for this purpose, we have developed a complete set of software
|
| 441 |
+
infrastructure, including data filtering, automatic training, and
|
| 442 |
+
automated publishing. Therefore, if possible, we would appreciate more
|
| 443 |
+
feedback or suggestions as they are highly valuable to us.
|
| 444 |
+
|
| 445 |
+
|
| 446 |
+
Why Can't the Desired Character Outfits Be Accurately Generated
|
| 447 |
+
|
| 448 |
+
Our current training data is sourced from various image websites, and
|
| 449 |
+
for a fully automated pipeline, it's challenging to accurately predict
|
| 450 |
+
which official images a character possesses. Consequently, outfit
|
| 451 |
+
generation relies on clustering based on labels from the training
|
| 452 |
+
dataset in an attempt to achieve the best possible recreation. We will
|
| 453 |
+
continue to address this issue and attempt optimization, but it remains
|
| 454 |
+
a challenge that cannot be completely resolved. The accuracy of outfit
|
| 455 |
+
recreation is also unlikely to match the level achieved by manually
|
| 456 |
+
trained models.
|
| 457 |
+
|
| 458 |
+
In fact, this model's greatest strengths lie in recreating the inherent
|
| 459 |
+
characteristics of the characters themselves and its relatively strong
|
| 460 |
+
generalization capabilities, owing to its larger dataset. As such, *this
|
| 461 |
+
model is well-suited for tasks such as changing outfits, posing
|
| 462 |
+
characters, and, of course, generating NSFW images of characters!*😉".
|
| 463 |
+
|
| 464 |
+
For the following groups, it is not recommended to use this model and we
|
| 465 |
+
express regret:
|
| 466 |
+
|
| 467 |
+
1. Individuals who cannot tolerate any deviations from the original
|
| 468 |
+
character design, even in the slightest detail.
|
| 469 |
+
2. Individuals who are facing the application scenarios with high
|
| 470 |
+
demands for accuracy in recreating character outfits.
|
| 471 |
+
3. Individuals who cannot accept the potential randomness in
|
| 472 |
+
AI-generated images based on the Stable Diffusion algorithm.
|
| 473 |
+
4. Individuals who are not comfortable with the fully automated process
|
| 474 |
+
of training character models using LoRA, or those who believe that
|
| 475 |
+
training character models must be done purely through manual
|
| 476 |
+
operations to avoid disrespecting the characters.
|
| 477 |
+
5. Individuals who finds the generated image content offensive to their
|
| 478 |
+
values.
|
| 479 |
+
|
| 480 |
+
Show More
|
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+
|
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+
|
| 483 |
+
Discussion
|
| 484 |
+
|
| 485 |
+
Add Comment
|
| 486 |
+
|
| 487 |
+
OhGodItsBroken's Avatar
|
| 488 |
+
<https://civitai.com/user/OhGodItsBroken>
|
| 489 |
+
OhGodItsBroken
|
| 490 |
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<https://civitai.com/user/OhGodItsBroken>
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18 hours ago
|
| 492 |
+
|
| 493 |
+
Was this mislabeled?
|
| 494 |
+
|
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I don't know the vtuber it seems to be based on, but was there supposed
|
| 496 |
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to be a connection to Akari from Blue Archive?
|
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|
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Show More
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0
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Gallery
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Add Post
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|
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Add Review
|
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|
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+
Newest
|
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+
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+
All Time
|
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+
|
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+
Nobdy's Avatar
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<https://civitai.com/user/Nobdy>
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+
Nobdy
|
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<https://civitai.com/user/Nobdy>
|
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+
6 days ago - v1.4
|
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+
|
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+
5.0
|
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+
<https://civitai.com/models/227277/akari-blue-archive?dialog=resourceReview&reviewId=459926>
|
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+
|
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+
00023-1.png <https://civitai.com/images/4689415>
|
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+
|
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+
0
|
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|
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+
TK31's Avatar
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<https://civitai.com/user/TK31>
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TK31
|
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<https://civitai.com/user/TK31>
|
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+
8 days ago - v1.4
|
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+
|
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+
5.0
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<https://civitai.com/models/227277/akari-blue-archive?dialog=resourceReview&reviewId=457028>
|
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|
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13
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<https://civitai.com/images/4648260>
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+
|
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narugo1992's Avatar
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<https://civitai.com/user/narugo1992>
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narugo1992
|
| 542 |
+
<https://civitai.com/user/narugo1992>
|
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+
16 days ago - v1.4
|
| 544 |
+
|
| 545 |
+
miko.png <https://civitai.com/images/4344689>
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| 546 |
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|
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❤️
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2
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0
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© Civitai 2023
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| 556 |
+
<https://civitai.com/content/tos>
|
| 557 |
+
Privacy
|
| 558 |
+
<https://civitai.com/content/privacy>
|
| 559 |
+
Safety
|
| 560 |
+
<https://civitai.com/safety>
|
| 561 |
+
Newsroom
|
| 562 |
+
<https://civitai.com/newsroom>
|
| 563 |
+
API
|
| 564 |
+
<https://civitai.com/github/wiki/REST-API-Reference>
|
| 565 |
+
Status
|
| 566 |
+
<https://status.civitai.com/>
|
| 567 |
+
Wiki
|
| 568 |
+
<https://civitai.com/wiki>
|
| 569 |
+
Education
|
| 570 |
+
<https://civitai.com/education>
|
| 571 |
+
|
| 572 |
+
<https://civitai.com/discord>
|
| 573 |
+
|
| 574 |
+
<https://civitai.com/twitter>
|
| 575 |
+
|
| 576 |
+
<https://civitai.com/instagram>
|
| 577 |
+
|
| 578 |
+
<https://civitai.com/youtube>
|
| 579 |
+
|
| 580 |
+
<https://civitai.com/tiktok>
|
| 581 |
+
|
| 582 |
+
<https://civitai.com/reddit>
|
| 583 |
+
|
| 584 |
+
<https://civitai.com/github>
|
| 585 |
+
|
| 586 |
+
<https://civitai.com/twitch>
|
| 587 |
+
🪲 Bugs
|
| 588 |
+
<https://civitai.com/bugs>
|
| 589 |
+
💡 Feature Requests
|
| 590 |
+
<https://civitai.com/feedback>
|
| 591 |
+
|