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AnimeBoysXL
Features
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✔️ Good for inference: AnimeBoysXL is a flexible model which is good at generating images of anime boys and males-only content in a wide range of styles.
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✔️ Good for training: AnimeBoysXL is suitable for further training, thanks to its neutral style and ability to recognize a great deal of concepts. Feel free to train your own anime boy model/LoRA from AnimeBoysXL.
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❌ AnimeBoysXL is not optimized for creating anime girls. Please consider using other models for that purpose.
Inference Guide
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Prompt: Use tag-based prompts to describe your subject.
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Tag ordering matters. It is highly recommended to structure your prompt with the following templates:
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1boy, male focus, character name, series name, anything else you'd like to describe
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2boys, male focus, multiple boys, character name(s), series name, anything else you'd like to describe
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Append
, best quality, amazing quality, best aesthetic, absurdres
to the prompt to improve image quality. -
(Optional) Append
, year YYYY
to the prompt to shift the output toward the prevalent style of that year.YYYY
is a 4 digit year, e.g., year 2023
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For more detailed documentation, you can visit my article on Ko-fi (available to supporters only).
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Negative prompt: Choose from one of the following two presets.
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Heavy (recommended):
lowres, (bad:1.05), text, error, missing, extra, fewer, cropped, jpeg artifacts, worst quality, bad quality, watermark, bad aesthetic, unfinished, chromatic aberration, scan, scan artifacts, 1girl, breasts
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Light:
lowres, jpeg artifacts, worst quality, watermark, blurry, bad aesthetic, 1girl, breasts
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(Optional) Add
, realistic, lips, nose
to the negative prompt if you need a flat anime-like style face.
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VAE: Make sure you're using SDXL VAE.
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Sampling method, sampling steps and CFG scale: I find (Euler a, 28, 5) good. You are encouraged to experiment with other settings.
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Width and height: 832*1216 for portrait, 1024*1024 for square, and 1216*832 for landscape.
Training Details
AnimeBoysXL is trained from Stable Diffusion XL Base 1.0, on ~516k images.
The following tags are attached to the training data to make it easier to steer toward either more aesthetic or more flexible results.
Quality tags
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best quality
: score >= 150 -
amazing quality
: score in the range of [100, 150) -
great quality
: score in the range of [75, 100) -
normal quality
: score in the range of [0, 75) -
bad quality
: score in the range of (-5, 0) -
worst quality
: score <= -5
Aesthetic tags
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best aesthetic
: score >= 6.675 -
great aesthetic
: score in the range of [6.0, 6.675) -
normal aesthetic
: score in the range of [5.0, 6.0) -
bad aesthetic
: score < 5.0
Rating tags
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sfw
: general -
slightly nsfw
: sensitive -
fairly nsfw
: questionable -
very nsfw
: explicit
Year tags
year YYYY
where YYYY
is in the range of [2005, 2023].
Training configurations
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Hardware: 4 * Nvidia A100 80GB GPUs
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Optimizer: AdaFactor
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Gradient accumulation steps: 8
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Batch size: 4 * 8 * 4 = 128
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Learning rates:
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8e-6 for U-Net
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5.2e-6 for text encoder 1 (CLIP ViT-L)
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4.8e-6 for text encoder 2 (OpenCLIP ViT-bigG)
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Changes from v1.0
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Train with tag ordering.
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Add
sfw
rating tag. -
More epochs on the questionable and explicit rating subset.
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FP16 mixed-precision training for final epochs.
The above model card is for AnimeBoysXL v2.0. For the model card of v1.0, please refer to here.
描述:
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Train with tag ordering.
-
Add sfw
rating tag.
-
More epochs on the questionable and explicit rating subset.
-
FP16 mixed-precision training for final epochs.
Train with tag ordering.
Add sfw
rating tag.
More epochs on the questionable and explicit rating subset.
FP16 mixed-precision training for final epochs.
训练词语:
名称: animeboysxl_v20.safetensors
大小 (KB): 6775430
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success