1、什么是Stable Diffusion？Stable Diffusion是一种文本生成图像的AI模型。它通过对互联网上的数百万个图像和文本描述对应上的训练，因此，该模型理解哪些文本描述与哪些图像相关联，具备很高的图像生成能力。因此，如果您输入“一张猫坐在建筑物顶部的照片(A Photo of a cat sitting on top of a building)”的...
Want to learn Stable Diffusion AI? This beginner’s guide is for newbies with zero experience with Stable Diffusion, Flux, or other AI image generators. It will give you an overview of Stable Diffusion/Flux AI and where to start. This is the first part of the beginner’s guide series. R...
5. 条件控制(Conditioning) 上述对Stable Diffusion的理解还不完整。怎么通过文本提示来控制出图呢? 这就需要Conditioning,其目的是引导noise predictor,以便预测的噪声从图像中减掉后能得出我们想要的东西。 5.1 文本条件(text-to-image) 下图是文本提示(text prompt)被处理并喂给noise predictor的过程。Tokenizer先把提...
However, if you have ever wanted to generate an image of a well-known character, concept, or using a specific style, you might've been disappointed with the results. It's common that Stable Diffusion's powerful AI doesn't do a good job at bringing characters and styles to life by ...
Running Stable Diffusion locally enables you to experiment with various text inputs to generate images that are more tailored to your requirements. You may also fine-tune the model on your data to improve the results, given the inputs you provide. Disclaimer: You must have a GPU to run Stab...
This is where you enter a description of what you want Stable Diffusion to create. There's always a random suggestion there to give you some inspiration (and you can cycle through for more), but you should enter whatever you want. Some of my favorites ones to try are: A painting in ...
3.1 Stable Diffusion XL on AMD Radeon Graphics Cards Note: Stable Diffusion XL requires lot more memory than Stable Diffusion 1.5 so its recommended to use system with 16GB or higher VRAM To run Stable Diffusion XL version fromStability AI ...
From the prompt to the picture, Stable Diffusion is a pipeline with many components and parameters. All these components working together creates the output. If a component behave differently, the output will change. Therefore, a bad setting can easily ruin your picture. In this post, you will...
Stable Diffusion所使用的是一个4x64x64的潜空间,相较于图像的像素空间【译注:512x512的图像】而言小了48倍。所有我们上一章节所描述的前向扩散与逆向扩散的过程都实际是在这个空间中完成的。 训练的过程也是一样的,训练流程中生成的并不是噪声图像,而是潜空间中的张量(即一个4x64x64的噪声图)。训练中像潜空...
官方论文:https://stable-diffusion-art.com/how-stable-diffusion-work/ 首先我们的文本包含正面提示词和负面提示词,通过text coder文本编码器(一般是CLIP模型)转换成固定长度的、易于电脑计算的矢量数据 ,然后与初始化噪声图像一起带入Unet模型网络进行多个采样迭代次数的去噪处理,去噪后的图像数据再通过VAE模型进行解...