Today, most custom models are built on top of either SD v1.5 or SD v2.1. These custom models usually perform better than the base models. "Stable Diffusion model" is used to refer to the official base models by StabilityAI, as well as all of these custom models. This is Part 2 of ...
CFG的具体实现非常简单,在训练过程中,我们只需要以一定的概率(比如10%)随机drop掉text即可,这里我们可以将text置为空字符串(前面说过此时依然能够提取text embeddings)。这里并没有介绍CLF背后的技术原理,感兴趣的可以阅读CFG的论文Classifier-Free Diffusion Guidance以及guided diffusion的论文Diffusion Models Beat GANs o...
大模型存放位置：ComfyUI\models\checkpoints官方还给了三个工作流，一个基础文生图工作流，一个多提示词...
例如,DPM Solver通过大幅降低迭代步数,实现4到16倍的加速。OpenAI的Consistency Models进一步将迭代步数降至1到4步,其后的LCM和LCM-LoRA(Latent Consistency Models)也沿用这一策略。在SDXL-Turbo中,将迭代步数进一步减至1到4步甚至只需要1步,也可以得到优秀的生成结果。在与各种蒸馏方案的比较中,作者的方法在只需一...
Thread Question regarding dual-SIM models I'm strongly considering buying a OnePlus 7 Pro (GM1917) but had a question that I can't find a definitive answer for. My wife has a dual-SIM HTC U11 and the second SIM slot also doubles as an external SD card slot. Does the dual-SIM 7...
Pre title: SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis accepted: arXiv 2023 paper: https://arxiv.org/abs/2307.01952 co
扩图(Super Duper Expansion)是一种基于人工智能的图像生成技术,它可以将简单的线稿或简略的设计转化为详细且富有纹理的图像。该技术能够利用AI模型中的大量图像数据进行智能学习,从而生成高分辨率、逼真的图像作品。 二、SD扩图的原理 SD扩图技术的核心是深度学习和生成对抗网络(GAN)的结合。GAN模型由一个生成器和一...
在Rocky详细讲解Stable Diffusion 3和FLUX.1系列模型之前,我们首先前置学习DiT(Diffusion Transformer,Scalable Diffusion Models with Transformers)这个关键基础模型,SD 3和FLUX.1系列模型的核心架构基于它设计改进,它是AI绘画领域全面迈入Transformer时代的“关键地基”。 同时,AI视频领域的Sora模型也是基于DiT进行设计Baselin...
此外,我们至少需要三个 Controlnets 用于推理。因此,您需要设置Multi ControlNet: Max models amount (requires restart)。 ii. 其他依赖关系。 我们与现有的 stable-diffusion-webui 环境相互兼容,启动 stable-diffusion-webui 时会安装相关软件源。 我们所需的权重会在第一次开始训练时自动下载。
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