
stabilityai/stable-diffusion-xl-base-1.0 · Hugging Face
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 …
Stable Diffusion XL - SDXL 1.0 Model - Stable Diffusion XL
Stable Diffusion XL or SDXL is the latest image generation model that is tailored towards more photorealistic outputs with more detailed imagery and composition compared to previous SD models, …
Stable Diffusion XL - Hugging Face 文档
Stable Diffusion XL (SDXL) 是 Stable Diffusion 模型更大、更强大的迭代版本,能够生成更高分辨率的图像。 SDXL 的 UNet 比原版大 3 倍,并且模型在架构中添加了第二个文本编码器。 根据您可用的硬 …
Stable Diffision最新模型SDXL 1.0使用全教程 - 知乎
Aug 4, 2023 · SDXL 1.0特别适合生动、准确的颜色,比其前身具有更好的对比度、光照和阴影,质量可与 Midjourney 的最新版本相媲美。 更智能、更简单的语言:SDXL只需要几个词就能创建复杂、详 …
Stable diffusion的SDXL模型,针不错!(含实操)-CSDN博客
Jan 4, 2025 · 简单来说,SDXL这种设计就是先用基础模型(Base)生成一张看起来差不多的图片,然后再使用一个图像精修模型(Refiner)进行打磨,从而让图片生成的质量更高。 而在没有这个之前, …
[2307.01952] SDXL: Improving Latent Diffusion Models for High ...
Jul 4, 2023 · We design multiple novel conditioning schemes and train SDXL on multiple aspect ratios. We also introduce a refinement model which is used to improve the visual fidelity of samples …
SDXL Online - Free Stable Diffusion XL Playground
Generate high-quality images with SDXL online free at Stable Diffusion Web. Try our Stable Diffusion XL playground with no login required and produce detailed 1024×1024 artwork instantly in your browser.
新一代大模型SDXL以及refiner的用法 - 飞书云文档
首先老师简单介绍一下SDXL,SDXL全称stable diffusion XL,是stability AI公司于2023年7月份发布的一款图片生成大模型,SDXL由两个模型组成,其中base模型的参数数量为35亿,refiner模型的参数数 …
深入浅出完整解析Stable Diffusion XL(SDXL)核心基础知识
本文中介绍的Stable Diffusion XL系列模型(简称SDXL)是Stable Diffusion的最新优化版本,由Stability AI发布。 比起Stable Diffusion,Stable Diffusion XL做了全方位的优化, Rocky相信,Stable …
Announcing SDXL 1.0 - Stability AI
Jul 26, 2023 · SDXL 1.0 is the flagship image model from Stability AI and the best open model for image generation. We’ve tested it against various other models, and the results are conclusive - people …