Browse Models
The simplest way to self-host Yamer's Realistic. Launch a dedicated cloud GPU server running Lab Station OS to download and serve the model using any compatible app or framework.
Download model weights for local inference. Must be used with a compatible app, notebook, or codebase. May run slowly, or not work at all, depending on your system resources, particularly GPU(s) and available VRAM.
Yamer's Realistic is an SDXL-based model optimized for full-body images, portraits, and environmental scenes. Available in three variants (TX, SX, RX), each processes color differently. Notable for consistent output without additional refiners, it performs well with architectural visualization and operates within standard SDXL parameters.
Yamer's Realistic represents a significant advancement in Stable Diffusion XL (SDXL) technology, focusing on achieving high-quality realistic imagery while maintaining versatility across various use cases. This comprehensive model family has evolved through multiple versions, each bringing unique capabilities and improvements to the generation process.
The model excels in generating diverse imagery, from full-body compositions to detailed close-ups, and can effectively render complex scenes such as futuristic cityscapes and interior environments. While primarily designed for safe-for-work (SFW) content, it maintains flexibility for NSFW applications when used with appropriate LoRAs.
The model's strength lies in its realistic output, which can be enhanced through specific keywords like "realistic," "ultra realistic," and "photorealistic." For users seeking non-realistic, abstract, or ethereal imagery, the creator recommends using the complementary "Yamer's Style" LoRA.
Version 5, the latest iteration, introduces three distinct variants:
Each variant produces slightly different results in terms of color rendering and saturation, allowing users to choose based on their specific prompt requirements. The evolution from earlier versions (V1-V4) shows significant technical progression:
For optimal results, the following parameters are recommended:
The creator rates the model's performance at 9/10 for quality and 8/10 for realism, noting that careful attention to CFG settings is crucial for optimal results.
The model operates under the CreativeML Open RAIL++-M License with an additional addendum. For commercial applications or specific inquiries, users can contact the creator directly at [email protected].