diffusion model和其他模型最大的区别是它的latent code(z)和原图是同尺寸大小的,当然最近也有基于压缩的latent diffusion model[5],不过是后话了。一句话概括diffusion model,即存在一系列高斯噪声(T轮),将输入图片x0变为纯高斯噪声xT。而我们的模型则负责将xT复原回图片x0。这样一来其实diffusion model和GAN很像...
Code: have not opensource 背景 在发布Emu后,近日,META又发布了两个非常惊艳的工作:EmuEdit、EmuVideo。文本将对EmuEdit相关技术进行总结。 1 核心思想 作者将intruction-base image editing任务建模为生成任务,并用diffusion model进行求解。核心创新点有两个 详细定义了instruction-based image edit处理的任务,并设计...
Train MaskDiT with 50% mask ratio with AMP enabled. Here is an example of 4-node training script. bash scripts/train_latent512.sh Then finetune with unmasking. bash scripts/finetune_latent512.sh Evaluation FID evaluation To compute a FID of a pretrained model, run ...
Thescripts/finetune.shscript allows users to perform fine-tuning on their own datasets. By default, it implements a fine-tuning strategy combiningDreamBoothandTextual Inversion. Users can customize theexamples_per_classargument to fine-tune the model on a dataset with {examples_per_class} shots....
· 3D Model:3D模型 · Analog Film:模拟胶片 · Anime:动漫 · Cinematic:电影· Comic Book:漫画 · Craft Clay:工艺黏土· Digital Art:数字艺术 · Enhance:增强· Fantasy Art:幻想艺术 · Isometric:等距风格 · Line Art:线条艺术 · Lowpoly:低多边形 · Neonpunk:霓虹朋克 · Origami:折纸 · ...
and introducing regularization from classifier-free guidance. Our extensive experiments on MS-COCO show that our model with $8$ denoising steps achieves better FID and CLIP scores than Stable Diffusion v$1.5$ with $50$ steps. Our work democratizes content creation by bringing powerful text-to-image...
CodeFormer 项目的支持者分布 在展开代码走读之前,先玩一下有助于对项目的理解。和往常一样,我将项目封装成了Docker容器,完整的项目,我上传到了 GitHubsoulteary/docker-codeformer[3],自取的时候别忘记“一键三连”。 下面进入热身阶段。 CodeFormer 相关的前置知识 ...
如果我们使用的是 SDXL 模型,则会从releases/v1.0.0-pre/[21]发布页面中下载预构建模型vaeapprox-sdxl.pt,反之则使用项目中的model.pt模型。 WebUI 启动,如果缺少上述模型,则会报一些因为读取不到文件出现的奇奇怪怪的问题,所以建议自行下载,提前放在项目代码要读取的位置。
Getting to a compelling result with Stable Diffusion can require a lot of time and iteration, so a core challenge with on-device deployment of the model is making sure it can generate results fast enough on device. This requires executing a complex pipeline comprising 4 different neural networks...
protein, protein pocket. Additionally, a dual diffusion strategy is employed to enable the model to discern atom-wise forces. This strategy involves constructing two types of virtual edges. Firstly, pairs of atoms with interatomic distances below the local thresholdτlare bonded via covalent localized...