White Skin_Puppet art
V1.0








Model Introduction: White Skin Puppet art
Model Overview:
White Skin Puppet art is a Lora model that focuses on creating a fair skin effect. Its feature is to endow the image with a crystal clear skin texture, making the character image more vivid and lifelike. Suitable for creative scenes that require portraying fair skin tones.
Model Elements:
Fair skin effect.Using light silicone material to present a soft and delicate touch.Emphasizing the crystal clear skin texture to enhance the three-dimensionality of the image.
Instructions for Use:
High-Resolution Restoration: It is recommended to turn on the high-resolution restoration function and set the magnification to 1.5 times or more to ensure image quality.Recommended Algorithm: It is recommended to use the 4x-UltraSharp algorithm to achieve clear and delicate image effects.Lora Weight Adjustment: Adjust the Lora weight appropriately according to your needs, with a suggested range of 0.5 to 1.0, to get the best image effect.Tag Weight Adjustment: Highlight the desired features by adjusting the tag weight to meet personalized needs.Large Model Recommendation: For the best effect, it is recommended to use the Ancient Style Realism large model.
Exploration Tips:
Try combining different models and tags to explore more unexpected image effects.
High-Quality and Aesthetic Hanfu Model:
If you are interested in White Skin Puppet art, feel free to try and download this model!
Disclaimer:
Celebrity Portrait Training Prohibition: This model is prohibited from being used for style model training based on celebrity or public figures' portraits.Disclaimer: The use of content generated based on this model is your responsibility to maintain and judge, and should be used in compliance with applicable laws and regulations. The author is not responsible for any intellectual property issues arising from generated content. Without the author's written consent, it is prohibited to integrate this model service into any third-party software or service.
