反向扩散过程、去噪过程、图片生成过程、Sampling 单轮去噪过程、单轮U-Net过程、单轮反向扩散过程 开源的Stable Diffusion 目前AI绘画最火的当属Midjorney和Stable Diffusion,但是由于Midjourney没有开源,因此我们主要分享下Stable Diffusion,后面我们会补充介绍下Midjourney。 公开资料显示,Stable Diffusion是StabilityAI公司...
采样步数与采样器 在 Stable Diffusion 中，采样步数与采样器之间存在一定的关系。采样器是指用于生成随机高斯噪声的设备或算法，它直接影响着采样步骤中的噪声水平。不同的采样器可能会需要不同的采样步数来达到相同的降噪效果。因此，在选择采样步数时，我们需要综合考虑采样器的性能以及所需的降噪程度，以达到最佳的...
Diffusion的缺点是在反向扩散过程中需要把完整尺寸的图片输入到U-Net,这使得当图片尺寸以及time stept足够大时,Diffusion会非常的慢,而Stable Diffusion就是为了解决这一问题而提出的 3. Stable Diffusion Stable Diffusion原来的名字叫“Latent Diffusion Model”(LDM),很明显就是正反向扩散发生在隐空间中,其实就是对...
Sampling method: Euler a Denoising strength: 0.2, can go up to 0.4 if you feel adventurous A larger denoising strength is problematic due to the fact SD upscale works in tiles, as the diffusion process is then unable to give attention to the image as a whole. OriginalRealESRGANTopaz Gigap...
Sampling method The sampling mode of the diffusion denoising algorithm. Different sampling methods deliver different effects. Select an appropriate sampling method based on your needs. Euler a, DPM++ 2s a, and DPM++ 2s a Karras are similar in the overall composition of the image. Euler, DPM...
Ultra-Fast Inference: InstaFlow models are one-step generators, which directly map noises to images and avoid multi-step sampling of diffusion models. On our machine with A100 GPU, the inference time is around 0.1 second, saving ~90% of the inference time compared to the original Stable Diff...
without any device-specific codes. JAX is the first supported front-end. Intel® Extension for OpenXLA* enables and accelerates training and inference of different scales workloads on Intel GPUs, including Large Language Models (LLMs) or multi-modal models, etc., such as St...
1. How to useStableDiffusionPipeline Before diving into the theoretical aspects of how Stable Diffusion functions, let's try it out a bit 🤗. In this section, we show how you can run text to image inference in just a few lines of code!
AI modeling is the means of creating and training Machine Learning algorithms for a specific purpose. In this case, the purpose of generating images from user prompts. If you’re curious about which images Stable Diffusion used, Andy Baio and Simon Willisondid a thorough analysisof over 12 mil...
Depending on the nature of your project, you need to check what are the optimal parameters for the best result. This mini-course is not a textbook on stable diffusion. But you are going to see how the many components work and how they help in the final result of image generation. The ...