Inuyasha | 犬夜叉 - Collection
This LoRA is intended to train some of the aesthetics and styles of the Inuyasha and Yashahime series by mangaka Rumiko Takahashi.
The characters of Inuyasha and style of Rumiko Takahashi are already well learned by the base models - so this has mostly been trained on a dataset including fan works for emphasis.
Other are LoRA in most of the previews, so please reference this post for singular effect of this LoRA: https://civarchive.com/posts/11723453
Character Tags:
inuyasha
inuyasha \(character\)
higurashi kagome
kikyou \(inuyasha\)
kouga \(inuyasha\)
kagura \(inuyasha\)
miroku \(inuyasha\)
sango (inuyasha)
naraku (inuyasha)
rin (inuyasha)
sesshoumaru
sakasagami no yurahan'you no yashahime
moroha
higurashi towa
setsuna (inuyasha)Recommended prompt structure:
Positive prompt:
artist:{{artist}}, inuyasha, takahashi rumiko \(style\),
{{tags}}
masterpiece, best quality, very awa, absurdresNegative prompt:
(worst quality, low quality, sketch:1.1), error, bad anatomy, bad hands, watermark, ugly, distorted, censored, lowres, abstract, signature, bkubDescription
Trained on NoobAI-XL (NAI-XL) V-Pred 1.0-Version
With the kohya_ss dev branch, v_paratemization ,zero_terminal_ssr enabled, and noise offet set to 0.
Previews are generated in Forge with DynamicThresholding (CFG-Fix) Integrated enabled, settings:
dynthres_enabled: True, dynthres_mimic_scale: 7, dynthres_threshold_percentile: 1, dynthres_mimic_mode: Half Cosine Down, dynthres_mimic_scale_min: 1, dynthres_cfg_mode: Half Cosine Down, dynthres_cfg_scale_min: 3, dynthres_sched_val: 1, dynthres_separate_feature_channels: enable, dynthres_scaling_startpoint: ZERO, dynthres_variability_measure: STD, dynthres_interpolate_phi: 1A ComfyUI workflow reference with DynamicThresholding, Upscaling, and FaceDetailer can be found here: https://civitai.com/posts/11457095
FAQ
Comments (3)
Awesome style!
Great LoRA! And you can now use the Area Conditioninig nodes with OpenPose Studio node as shown here to make multi-character interactions easily! PS. Ayame seems to be missing from this LoRA?