Train a diffusion model Unconditional image generation is a popular application of diffusion models th...
本文选用的Cascaded文图生成模型Imagen(Cascaded Text-to-Image Diffusion Models,Google王者归来Imagen)采用的是典型的两段式结构模型,即:1.先根据描述文本Prompt生成low-resolution的图片,2.在根据low-resolution图生成high-resolution图(即Imagen中的Super-resolution模型)。训练的过程也是分为两个夹阶段: 第一阶段:先...
Textual-Inversion(在新版本的stable-diffusion-webui页面的train下),包含hypernetworks训练和embedding训练。训练出pt文件(为Stable Diffusion模型增加类似DLC扩展包的自训练功能);Embeddings用于告诉这个角色“具体是什么”,训练特殊的人物、角色会更好;Hypernetworks会对模型微调,所以泛化效果更好,用于训练画风会更好。 D...
sh examples/pytorch/stable_diffusion/lora/run_train_lora.sh 模型链接和下载 使用社区开发者分享的stable diffusion系列模型,本文推荐的是stable-diffusion-v1.5: 模型链接:https://www.modelscope.cn/models/AI-ModelScope/stable-diffusion-v1-5/summary 社区支持直接下载模型的repo # ### Loading Model and To...
Learn how to use Stable Diffusion to generate high-quality images from text. This guide covers setup, usage, and advanced features of this powerful AI model.
训练过程中的GPU/CPU/内存状态如下: 性能加速效果 总结 本文基于腾讯云高性能计算实例评测运行了官方 Stable diffusion 训练脚本,运行过程中通过性能分析挖掘了若干个训练性能优化方向并加以实施,最终取得了4倍多的性能提升。
drawing significant attention to AI-generated content. Text-to-image generation, including impressive models like Stable Diffusion, has captivated developers. Unlike Midjourney's text-to-image service, Stable Diffusion is an open-source deep learning model that lets users personalize and train their ow...
您可以同时添加多个ControlNet进行多Condition的控制。训练其他Condition来控制SD的具体操作,请参见Train a ControlNet to Control SD。 本文基于阿里云GPU服务器搭建Stable Diffusion模型,并基于ControlNet框架,快速生成特定物体图片。 重要 阿里云不对第三方模型“Stable Diffusion”的合法性、安全性、准确性进行任何保证,...
Stable Diffusion Training Example This repository walks through how to use thetrainML platformto personalize astable diffusion version 2model on a subject usingDreamBoothand generate new images. It utilizes theStable Diffusion Version 2inference code fromStability-AIand the DreamBooth training code from...
, we showed how to use Dreambooth Stable Diffusion to create a replicable baseline concept model to better synthesize either an object or style corresponding to the subject of the inputted images, effectively fine-tuning the model. Other attempts to fine-tune Stable Diffusion involved porting the ...