This is a specialized character LoRA trained as a Style, meaning the character is embedded into the model's weights without a trigger word. It is designed for Qwen-Image and Qwen-Image-Edit (all versions).
Training Philosophy
The model was trained on 100 high-quality images covering various angles (Front, 3/4, Profile, and Back) and a wide range of outfits and environments.
Caption Strategy:
No Trigger Word: The character's name, hair color, and eye color were never mentioned in the captions.
Full Environment Decoupling: Everything except the character was meticulously tagged (clothing, jewelry, background, lighting).
Flexible Generation: Because the character is the only "unnamed" constant, she appears automatically when you describe a scene.
Usage & Prompting
Simply describe a woman and her surroundings. The character will manifest as the subject.
Example Prompt:A woman in a red tank top and blue jeans, standing in a rainy forest.
Customization: Hairstyle can be changed easily at full weight. Eye color is most responsive around 3400-3500 steps (or by slightly lowering LoRA strength).
Note: The model can be sensitive to keywords like "bare" or chest-related descriptions, which may lead to NSFW results.
Technical Specifications
Parameter
Value
Trigger Word
None (Trained as Style)
Rank (Dimension)
128
File Size
2.2 GB
Training Hardware
NVIDIA H200 Tensor Core GPU
Training Duration
~12 Hours
Total Steps
4000
Bucketing Strategy
8 distinct resolution buckets (up to 1536px)
Dataset Quality
~8MP source images
Training Toolkit
Ostris - AI Toolkit
Adaptive Batch Size Schedule:
0 - 200 steps: Batch Size 6
200 - 1800 steps: Batch Size 2
1800 - 2800 steps: Batch Size 4
2800 - 4000 steps: Batch Size 10
Save Intervals:
0 - 3000 steps: Every 200 steps.
3000 - 4000 steps: Every 100 steps.
Sample Images (Upscaled)
Below are samples showcasing the character's consistency across different outfits, angles, and environments.
Sample Images
Below are samples showcasing the character's consistency across different outfits, angles, and environments.
