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README.md
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license: openrail++
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---
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license: openrail++
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tags:
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- text-to-image
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- stable-diffusion
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- diffusers
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widget:
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- text: score_9, 2boys, male focus, multiple boys, yaoi, couple, princess carry, carrying, collared shirt, shirt, pants, jacket, looking at another, smile, wedding, absurdres, highres, year 2025
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parameters:
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negative_prompt: score_1, score_2, score_3, lowres, artistic error, film grain, scan artifacts, jpeg artifacts, chromatic aberration, dithering, halftone, screentones, multiple views, logo, too many watermarks, negative space, blank page
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output:
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url: images/sample01.png
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example_title: sample01
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- text: score_9, A handsome anime boy playing acoustic guitar in living room at home, absurdres, highres
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parameters:
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negative_prompt: score_1, score_2, score_3, lowres, artistic error, film grain, scan artifacts, jpeg artifacts, chromatic aberration, dithering, halftone, screentones, multiple views, logo, too many watermarks, negative space, blank page
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output:
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url: images/sample02.png
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example_title: sample02
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- text: score_9, tachibana makoto, free!, 1boy, male focus, solo, lying, on bed, bed, pillow, bedroom, shirt, pants, looking at viewer, one eye closed, sleepy, open mouth, absurdres, highres, year 2025
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parameters:
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negative_prompt: score_1, score_2, score_3, lowres, artistic error, film grain, scan artifacts, jpeg artifacts, chromatic aberration, dithering, halftone, screentones, multiple views, logo, too many watermarks, negative space, blank page
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output:
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url: images/sample03.png
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example_title: sample03
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- text: score_9, 2boys, male focus, multiple boys, rating:general, arm around shoulder, tank top, shorts, bara, muscular male, muscular, baseball cap, hat, looking at viewer, absurdres, highres, year 2025
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parameters:
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negative_prompt: score_1, score_2, score_3, lowres, artistic error, film grain, scan artifacts, jpeg artifacts, chromatic aberration, dithering, halftone, screentones, multiple views, logo, too many watermarks, negative space, blank page
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output:
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url: images/sample04.png
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example_title: sample04
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---
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# AnimeBoysZeroXL
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**Creating models is a labor of love, but it takes a significant amount of time and compute power to get them just right. If you’re enjoying my models, consider fueling my next project with a coffee on [Ko-fi](https://ko-fi.com/koolchh) ☕. Thank you for keeping this project going!**
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<Gallery />
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A dedicated model for high-quality anime-style male characters. This model is specifically optimized for males-only content, offering a wide range of aesthetic styles and high versatility.
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## 🚀 Inference Guide
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- **⚠️ Important**: This model uses Zero Terminal SNR with V-prediction. Please ensure you are using the correct settings during inference.
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- **ComfyUI Users**: Add the `ModelSamplingDiscrete` node into your workflow. Set `sampling` to `v_prediction`, `zsnr` to `true`.
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- **Automatic1111 Users**: Place the `.yaml` config file into the model folder. The .yaml file must have the exact same name as the model file, only with the `.yaml` extension instead of `.safetensors`. Set `Noise schedule for sampling` in settings to `Zero Terminal SNR`.
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- **Prompting**: Always begin your prompt with a score tag (e.g. `score_9`). You can use any of these styles:
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- Tag soup: `score_X, tag1, tag2, tag3, ...`
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- Natural language: `score_X, [your description here]`
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- Mixed approach: `score_X, [description], tag1, tag2, ...`
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- **Negative Prompt**: Choose from one of these three presets depending on your needs:
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- **Minimal**: `score_1`
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- **Light**: `score_1, lowres, artistic error, scan artifacts, jpeg artifacts, multiple views, too many watermarks, negative space, blank page`
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- **Heavy**: `score_1, score_2, score_3, lowres, artistic error, film grain, scan artifacts, jpeg artifacts, chromatic aberration, dithering, halftone, screentones, multiple views, logo, too many watermarks, negative space, blank page`
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- **CFG Scale**: A CFG scale of **3 to 5** is recommended. For finer control, I suggest using [dynamic thresholding](https://github.com/mcmonkeyprojects/sd-dynamic-thresholding).
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- *Pro-tip*: I set `mimic_scale` to match the CFG scale and set both minimum scales to the same lower value. I use `Half Cosine Up` for both modes.
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- **Resolution**: To get started, try these dimensions:
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- **Portrait**: 832 × 1216
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- **Square**: 1024 × 1024
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- **Landscape**: 1216 × 832
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- *Some other supported sizes*: 768×1344, 768×1280, 896×1152, 960×1088, 1344×768, 1280×768, 1152×896, 1088×960.
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## 🧨Diffusers Example Usage
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```python
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import torch
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from diffusers import DiffusionPipeline
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pipe = DiffusionPipeline.from_pretrained("Koolchh/AnimeBoysZeroXL", torch_dtype=torch.float16, use_safetensors=True, variant="fp16")
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pipe.to("cuda")
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prompt = "score_9, 1boy, male focus, shirt, solo, looking at viewer, smile, black hair, brown eyes, short hair"
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negative_prompt = "score_1"
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image = pipe(
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prompt=prompt,
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negative_prompt=negative_prompt,
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width=1024,
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height=1024,
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guidance_scale=5,
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num_inference_steps=28
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).images[0]
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```
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## 🧪 Training Details
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AnimeBoysZeroXL was fine-tuned from [Pony Diffusion V6 XL](https://civitai.com/models/257749/pony-diffusion-v6-xl) using approximately 950k images. The knowledge cutoff is November 2025.
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The following tags were used during training to help you steer the results toward your desired style.
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### Score tags
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- Each image is tagged with `score_X`, where `X` is a range from **1 to 9**.
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- `score_9` represents the highest aesthetic quality based on my personal preferences.
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### Rating tags
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| tag | rating |
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|-----------------------|--------------|
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| `rating:general` | general |
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| `rating:sensitive` | sensitive |
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| `rating:questionable` | questionable |
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| `rating:explicit` | explicit |
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### Year tags
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Use `year YYYY` (ranging from 2005 to 2025) to target specific era styles.
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### Training configurations
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- **Hardware**: 4 × Nvidia A100 SXM 80GB
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- **Optimizer**: AdaFactor
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- **Gradient Accumulation Steps**: 8
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- **Effective Batch Size**: 128 (4 × 8 × 4)
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- **Learning Rates**:
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- **U-Net**: 2e-5
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- **Text Encoders**: 1e-5
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- **LR Schedule**: Constant with 250 warmup steps
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- **Precision**: FP16 Mixed Precision
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### 🔄 Changes from AnimeBoysXL v3.0
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- **Tag Overhaul**: Quality tags have been removed. The 5-category aesthetic tags have been replaced with a more granular 9-category score tag system. Renamed rating tags for better clarity. Abolished the tag ordering scheme.
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- **Captions**: A subset of highly aesthetic images was trained using natural language prompts for better comprehension.
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- **Emphasis**: Highly aesthetic images now have more "repeats" in the training data.
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- **Optimization**:
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- 5% caption dropout for unconditional guidance.
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- Trained with Zero Terminal SNR and V-prediction.
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- Implemented adaptive loss weighting.
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- No multi-resolution noise or debiased estimation loss.
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- Trained with input perturbation noise (gamma=0.1).
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- Trained with huber loss.
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- **Merging**: This model is a merge across several iterations of the same training run for better stability.
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## License
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AnimeBoysZeroXL is a derivative model of [Pony Diffusion V6 XL](https://civitai.com/models/257749/pony-diffusion-v6-xl) by PurpleSmartAI. Please read their license before using the model.
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