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This checkpoint is a merge of SDXL-based WAI-NSFW with a combination of style LoRAs. It has a mature, Western comic-inspired look—women tend to be thick-thighed, curvy, and toned, while the men are usually massive....
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This checkpoint is a merge of SDXL-based WAI-NSFW with a combination of style LoRAs. It has a mature, Western comic-inspired look—women tend to be thick-thighed, curvy, and toned, while the men are usually massive. Because of the stylized nature of the merge, the iris and facial details can appear a bit impressionistic, so using detailers for the face and eyes is recommended.
🔧 Recommended Settings:
A well-rounded setup for general SDXL prompting.
Steps: 30
Sampler: euler_ancestral
Scheduler: karras
CFG (Guidance): 4
Some of the quality tags I use are:
Fontes
1 fonteArtefatos de modelo
1 artefatorustyIronPepper_v10.safetensors
safetensors · FP16 · PRUNED · 6,46 GB · SHA-256 2ad710af2cc4…1f4e · Civitai
BaixarTrechos de fonte
1 trechoSource context: 395 downloads · Type Checkpoint · Base model SDXL 1.0
🏷️ Recommended Quality Tags
masterwork, masterpiece, best quality, dynamic lighting , dynamic pose,, dynamic angle, (realistic:1.2), (lineless:1.2), detailed, nose, adult, aged up,
masterwork, masterpiece, best quality, detailed, depth of field, , high detail, best quality, very aesthetic, 8k, dynamic pose, depth of field, adult, aged up
Image-to-Image Tips
For upscaling workflows , I've found that a denoise range of 0.4 to 0.5 works best. This preserves structure while still enhancing detail without overbaking the image. Some upscalers models struggle with this checkpoint since it can't read the stylized details well.
📋 ADetailer Settings
Here are the current ADetailer/YOLO settings shown:
steps: 10
cfg: 5.0
sampler_name: dpmpp_2m
scheduler: karras
denoise: 0.45
feather: 10
noise_mask: enabled
force_inpaint: disabled
bbox_threshold: 0.65
bbox_dilation: 1
bbox_crop_factor: 1.5
sam_detection_hint: mask-area
sam_dilation: 4
sam_threshold: 0.93
sam_bbox_expansion: 0
sam_mask_hint_threshold: 0.70
sam_mask_hint_use_negative: False
drop_size: 5
Maybe I have my settings wrong and if you know a fix let me know. I only pretend to know what I'm doing.
