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Ginger
A concept LoRA for Krea 2 focused on redheads: copper, orange and auburn hair, pale freckled skin and natural red body hair. It also gives an amateur photo look: nude and topless women in real bedrooms, lofts and hotel rooms instead of a studio.
Usage
Start with the trigger word GingerRK, then describe the woman, what she wears (or that she is nude), her red hair and freckles, the pose and the place, and end with the light. Naming the shade of red and the freckles is what brings out the effect the most.
GingerRK, Photograph of a <age>-year-old woman with <skin> and <body>. She <is fully nude / is topless, wearing ...>. She has <red hair> and <freckles>. She is <pose> <place>. The lighting is <light>.
Recommended weight: 0.8 to 1. Made for Krea 2 Turbo (8 steps, CFG 1).
Prompt Examples
"GingerRK, Photograph of a 25-year-old woman with fair skin and an athletic build, with a belly button piercing. She is topless, wearing green lace panties. She has long curly ginger hair and a freckled chest. She is kneeling, looking at the camera in a bedroom with fairy lights. The photo is taken with a phone flash."
"GingerRK, Photograph of a 26-year-old woman with light skin and a slender build, with a belly button piercing. She is topless, wearing sheer black pantyhose. She has shoulder-length, slightly messy red hair and pink nipples. She is standing with her hands on her hips in a loft with a brick wall. The lighting is dim and moody."
"GingerRK, Photograph of a 30-year-old woman with a medium skin tone and an athletic build. She is fully nude. She has bright red hair in a messy bun and pale skin with freckles. She is standing in profile, one hand on her hip in a loft with a brick wall. The lighting is dim and moody."
Training
- Base model: Krea 2
- Type: Concept LoRA
- Steps: 4000
- Rank: 32
- Optimizer: adamw, constant learning rate
- Engine: ai-toolkit
Generation settings
Trained on Krea 2, and works on Krea 2 Turbo for faster generation.
- Raw: ~30 steps, guidance 3.5
- Turbo: ~8 steps, guidance 1.0
The gallery images were generated with krea2_turbo_mxfp8.safetensors, at 8 steps, guidance 1, LoRA weight 1.