可以说,去年的AIGC浪潮中,最引人瞩目的双星,就是ChatGPT和Stable Diffusion。 而根据Mostaque的说法,就是因为自家公司的Stable Diffusion,让OpenAI看到了AI大模型的潜力,所以OpenAI才紧随其后,火急火燎地紧急上架了ChatGPT,这才引爆了随后的掘金潮。 但福布斯对Mostaque进行了无情地扒皮:他并没有获得牛津大学的硕士...
1. 训练数据:latent diffusion是采用laion-400M数据训练的,而stable diffusion是在laion-2B-en数据集上训练的,明显后者用了更多的训练数据,而且后者也采用了数据筛选来提升数据质量,比如去掉有水印的图像以及选择美学评分较高的图像。2. text encoder:latent diffusion采用一个随机初始化的transformer来编码text,而stab...
Dynamics-Guided Diffusion Model for Robot Manipulator Design, https://dgdm-robot.github.io/ , https://arxiv.org/abs/2402.15038 Universal Manipulation Interface: In-The-Wild Robot Teaching Without In-The-Wild Robots, https://umi-gripper.github.io/ , https://arxiv.org/abs/2402.10329 Multi-Scal...
因此,不需要像Stable Diffusion或Comfy UI那样的工作流程,比如在这里遮罩,然后在那儿填充,所有这些小模型导致的无聊步骤。有大模型的人会说,嘿,我们把你放进了Transformer的所有内容中。这就是多模态战争,你是押注于全能模型,还是像个傻瓜一样将一堆小模型串在一起? Alessio Fanelli:我不知道,但这会很有趣。我...
哦,Recraft V3现在已经超越了Flux 1.1,这非常令人惊讶,因为Flux和Black Forest实验室是旧的Stable Diffusion团队,他们在经历管理问题后离开了Stability。因此,Recraft从无到有成为了顶级图像模型,这非常奇怪。我还想强调的是,Grok现在推出了Aurora,这是Grok和Black Forest Labs之间非常有趣的动态,因为Grok的图像最初是与...
业内比较火的AI模型有很多，比如画图神器Midjourney、用途多样的Stable Diffusion，以及OpenAI此前刚刚迭代...
In the reverse diffusion process, a UNet is used to predict the initially sampled noise, 𝜖ϵ, based on the sampled t, 𝑧𝑡zt, and its corresponding text embedding 𝑐(𝑦)c(y). The MSE loss between the predicted and true noises allows for the computation of a gradient that can...
Recent advancements in deep learning-based generative models have simplified image generation, increasing the need for improved source tracing and copyright protection, especially with the efficient, high-quality output of latent diffusion models (LDMs)
Lobe Chat An open-source, modern-design ChatGPT/LLMs UI/Framework. Supports speech-synthesis, multi-modal, and extensible (function call) plugin system. One-click FREE deployment of your private OpenAI ChatGPT/Claude/Gemini/Groq/Ollama chat application. English· 简体中文· 日本語· Official Sit...
Then, all the pre-trained checkpoints should be placed into the corresponding location in the folder ./ckpt/stable-diffusion-v1-5/ For Stage 1, pre-train the self-attention layers in SDM for StyleTransfer via: CUDA_VISIBLE_DEVICES=0 accelerate launch train_StorySalon_stage1.py For Stage ...