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🚀Testing and Usage Instructions: 

1. Training Strategy: I didn't plan to use the `Z-Image-Base` model for the final image generation. I only need the Lora to generate the intended body silhouette, and then I use the `Z-Image-Turbo` model later to refine the details. You can see this in my workflow, where I use dual sampling to create the final image. 

2. Lora Strength and Prompts: There are two ways to use this. 

Method 1: Use a normal prompt + Lora (Strength: 1.5). This achieves the goal, but a strength of 1.5 might increase the chance of anatomical errors. 

Method 2: Use positive descriptions in your prompt (e.g., "She has a full, round bust, prominent chest, obvious cleavage, fabric on the chest is noticeably stretched, tiny wasp waist") + Lora (Strength: 1.2). In this case, the Lora acts more like an amplifier, enhancing the "large bust + tiny waist" effect based on the model's original capabilities. This is the method I recommend. Either way, I suggest keeping the positive Lora strength between 1.2 and 1.5. 

3. Negative Lora Strength: With a single-concept Lora trained using Concept Slider, a negative strength value should create the opposite effect. However, in my tests, negative values didn't produce a noticeable reverse effect. I suspect this might be related to my dataset images and the fact that the concept wasn't entirely "single." So, I don't recommend using negative strength values.