Training Details:

Training Steps: This model was trained on 1,500 steps based on Flux 1 D. Because the number of training steps is relatively low, the model has learned a wide range of facial expressions and is able to reproduce natural styles.

Epochs: The model was trained for 40 epochs to learn a wide range of expressions with enough iterations. By setting the appropriate number of epochs, we can avoid overfitting problems and still get high quality output.

Training Data Source: The model was trained using publicly available images of Korean male artists holding microphones in various situations. This dataset was chosen to maximize the variety and liveliness of expressions.

Usage Tips:

Recommended Weights: Users recommend a Strength value of 0.7. This setting best utilizes the model's learned characteristics while preserving elements of the original image. You can adjust the range between 0.6 and 0.8 to get the style you want.

Clip Skip: When Clip Skip is set to 1, the model is better able to reflect more detail. If you want to increase the resolution of your image, you can also try adjusting the Clip Skip value.

Application Example: This model is useful for livestreaming, content creation, 3D avatar design, and AI-powered image creation projects. It works particularly well for capturing the feel of Korean celebrities.

Trigger Words:

KSRKSR: Use this trigger word to reflect a specific pose or situation where the model is holding a microphone. For example, “KSRKSR” can be entered together to create a more dynamic image of a character holding a microphone.

Additional Information:

Optimized Experience: The model is optimized based on the Flux 1 D base model. It performs best on GPUs with 16GB of VRAM or more, and can be used even faster on high-performance GPUs like the A100.

Note: Setting too high a Strength value when using the model can cause image distortion. We recommend that you stay within the recommended range.