AnimeBoysXL

NOT MY MODEL I WILL REMOVE IT IF OWNER ASKS CREDIT: Koolchh - https://civitai.com/user/Koolchh AnimeBoysXL Features ✔️ 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. ✔️ 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. ❌ AnimeBoysXL is not optimized for creating anime girls. Please consider using other models for that purpose. Inference Guide Prompt: Use tag-based prompts to describe your subject. Tag ordering matters. It is highly recommended to structure your prompt with the following templates: 1boy, male focus, character name, series name, anything else you'd like to describe 2boys, male focus, multiple boys, character name(s), series name, anything else you'd like to describe 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 Negative prompt: Choose from one of the following two presets. 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 Light: lowres, jpeg artifacts, worst quality, watermark, blurry, bad aesthetic, 1girl, breasts (Optional) Add , realistic, lips, nose to the negative prompt if you need a flat anime-like style face. VAE: Make sure you're using SDXL VAE. Sampling method, sampling steps and CFG scale: I find (Euler a, 28, 5) good. You are encouraged to experiment with other settings. 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 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 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 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 Hardware: 4 * Nvidia A100 80GB GPUs Optimizer: AdaFactor Gradient accumulation steps: 8 Batch size: 4 * 8 * 4 = 128 Learning rates: 8e-6 for U-Net 5.2e-6 for text encoder 1 (CLIP ViT-L) 4.8e-6 for text encoder 2 (OpenCLIP ViT-bigG) Changes from v1.0 Train with tag ordering. Add sfw rating tag. More epochs on the questionable and explicit rating subset. 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.