最左侧是提示词:paradise cosmic beach,提交到 Stable Diffusion 之后,它首先通过 Text Encoder 把提示词编码为一组带有文字语义的向量(向量可以理解成1位数组),然后把这组向量投递给一个图片生成器( Image Information Creator),图片生成器根据向量的值来构建出相应语义的图片信息,这些信息还不是我们常见的图片格式,...
如何想出好的prompt:https://stable-diffusion-art.com/how-to-come-up-with-good-prompts-for-ai-image-generation/#Some_good_keywords_for_you 负面提示符:https://stable-diffusion-art.com/how-to-use-negative-prompts/#Negative_prompt_with_Stable_Diffusion_v15 ▐生成高质量的图片进阶? 图片修复 (in...
如果训练数据集包含美观的图像(例如,Stable Diffusion训练所用的LAION美学数据集),那么生成的图像往往会具有美感。如果我们在Logo图像上训练它,我们最终会得到一个生成Logo的模型。 这总结了在Denoising Diffusion Probabilistic Models中描述的Stable Diffusion图像生成的大部分内容。现在,已经对扩散有了直观感受,这不仅是St...
For more information about these prompts, refer to paper DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation. FID is a metric used to measure the quality of generated images by a generative model. The smaller the FID, the better the quality....
Stable Diffusion 模型,已经成为 AI 行业从传统深度学习时代走向 AIGC 时代的标志性里程碑。越来越多的开发者借助 stable-diffusion-webui (以下简称 SDWebUI) 能力进行 AI 绘画领域创业或者业务上新,获得高流量及商业价值,但是面对多客户、高并发的复杂场景,使用原生 Stable Diffusion API 会面临以下挑战: 显卡资源...
Deploy a Stable Diffusion model service by using EAS,Platform For AI:Stable Diffusion is a stable and easy-to-use image generation model that can generate high-quality and high-resolution images. Open source Stable Diffusion WebUI is a browser interface
StableDiffusionTextToImg body = StableDiffusionTextToImg.builder().sampler\_name("") .prompt("(cake:1.8),( 3D:1.8),( shadow:1.8),(best quality:1.25),( masterpiece:1.25), (ultra high res:1.25), (no human:1.3),,(white background:2)") ...
The invention specifically relates to a method for image quality improvement and intelligent interaction of an AR display device based on a stable diffusion model. Image quality improvementmethods include: The scene image is input into the trained image quality improvement model, andthe input scene ...
Stable Diffusion uses an AI algorithm to upscale images, eliminating the need for manual work that may require manually filling gaps in an image. It has been trained on millions of images and can accurately predict high-resolution images, resulting in a significant increase in detail compared ...
2. Sampling steps.This refers to the number of steps the Stable Diffusion model runs to generate an image from random noise. Typically, the higher the sampling steps, the better the quality of the images. Our sampling steps are currently 20. We can increase the steps to about50to allow th...