
a LoRA model based off Cacao from the Nekopara anime adaptation
6.1 MODEL RELEASE DATE: at this point... when I'm ready.
Here's what will be new in version v6.1
- Trained on 237 images instead of the previous 81
- Extreme focus on generating high-quality images
- Every outfit from the Nekopara anime is now suitable
- Every pose that Cacao had in the anime now trained in the LoRA
- Better prompting, focus on facial expression, variety enhancements
- 768x768 picture training was used instead of 512x512
- better focus on backgrounds
- Environments are now a key factor (meaning: objects, wind, indoors, outdoors working better)
- Fixed and minimized overtrained and undertrained images
- Captured the Nekopara art-style via training the Lora
- It is both trained on the AnyLora and AnythingElse V4 checkpoint models
additional information, generation guide will replace this textbox on release, this is just a tease on what to expect. Keep calm :3
描述: 
- 
Trained on 81 images instead of 35 
- 
Bigger focus on generating high-quality images 
- 
Trained on more angles, positions 
- 
[Cat hat, no cat hat] is now working better 
- 
More outfits (kimono, pajamas, tank top, dress, overalls) 
- 
More facial expressions 
Trained on 81 images instead of 35
Bigger focus on generating high-quality images
Trained on more angles, positions
[Cat hat, no cat hat] is now working better
More outfits (kimono, pajamas, tank top, dress, overalls)
More facial expressions
I basically went through the whole anime and created a screenshot from almost every scene where Cacao appeared. This is currently the final version, if I ever going to create another version there will be with more images (supposedly 110) and I will train them in 768x768 ratio rather than 512 until then, have fun ^^
训练词语: Cacao,cat hat,no cat hat,cat ears,cat girl
名称: Cacao_v4model.safetensors
大小 (KB): 36985
类型: Model
Pickle 扫描结果: Success
Pickle 扫描信息: No Pickle imports
病毒扫描结果: Success
                    
                
                    
                
                    
                
                    
                
                    
                
                    
                

 
                 
                 
                 
                 
                