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Realism_By_Stable_Yogi

Realism_By_Stable_Yogi

Realism_By_Stable_Yogi is a realistic AI image generation model based on stable diffusion technology
Author:LoRA
Inclusion Time:16 Jan 2025
Downloads:7
Pricing Model:Free
Size:1.98 GB
Version:v9
Introduction

Realism_By_Stable_Yogi is an advanced AI model that focuses on generating high-precision, ultra-realistic visual content. Based on Stable Diffusion technology, the model combines the realism art style with deep learning algorithms to create images that are close to the real world. Whether it is used for digital art, advertising design or product visualization, Realism_By_Stable_Yogi can meet the needs of professional creators with its excellent image details and realism.

Features:

  • Ultra-high realism: The generated images have amazing details and lighting effects, close to photographic level realism.

  • Flexible style control: Supports a variety of realistic styles, including natural landscapes, portraits, urban scenery, etc., to meet the needs of different scenes.

  • High-resolution output: The images generated by the model are extremely clear and can be used for high-end commercial design and artistic creation.

  • User-friendliness: Simple text prompts can generate complex visual content, lowering the threshold for creation.

  • High efficiency: Based on the optimization algorithm, the model can generate high-quality content in a short time, greatly improving the efficiency of creation.

Highlights:

  • Realistic visual experience, achieving a new height of AI creation.

  • Multi-purpose application, suitable for advertising, digital art, game design and other fields.

  • Supports personalized customization and provides a unique realistic style based on user input.

  • Deep learning optimization, intelligent adjustment of output results, in line with professional standards.

  • Stable and reliable, efficient generation and suitable for large-scale use.

Important Usage Tips

  • Add Stable_Yogis_PDXL_Positives to the beginning of the Tips section.

  • Add Stable_Yogis_PDXL_Negatives -neg to the beginning of the Negative Tips section.

Preview
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