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The chart above evaluates user preference for SDXL (with and without refinement) over SDXL 0.9 and Stable Diffusion 1.5 and 2.1. The SDXL base model performs significantly better than the previous variants, and the model combined with the refinement module achieves the best overall performance.
- Community 87
stable-diffusion-xl-base-1.0. like 5.83k. Text-to-Image....
- Stable Diffusion XL
Stable Diffusion XL (SDXL) is a powerful text-to-image...
- Community 87
26 lip 2023 · SDXL 1.0 is an open text-to-image generation model that can create high-quality images in any style and concept. It has a large parameter count, a two-stage architecture, and fine-tuning features. Learn how to get started with SDXL 1.0 on various platforms and licenses.
Stable Diffusion XL or SDXL is the next-generation open weights AI image synthesis model released by Stability AI. It represents a significant advancement in image generation capabilities compared to previous versions of Stable Diffusion, offering higher-resolution imagery and more detailed outputs.
The chart above evaluates user preference for SDXL (with and without refinement) over SDXL 0.9 and Stable Diffusion 1.5 and 2.1. The SDXL base model performs significantly better than the previous variants, and the model combined with the refinement module achieves the best overall performance.
Stable Diffusion XL 1.0 online demonstration, an artificial intelligence generating images from a single prompt.
Stable Diffusion XL (SDXL) is a powerful text-to-image generation model that iterates on the previous Stable Diffusion models in three key ways: the UNet is 3x larger and SDXL combines a second text encoder (OpenCLIP ViT-bigG/14) with the original text encoder to significantly increase the number of parameters
The Stability AI team takes great pride in introducing SDXL 1.0, an open model representing the next evolutionary step in text-to-image generation models. SDXL 1.0, the flagship image model developed by Stability AI, stands as the pinnacle of open models for image generation.
