另一种思路就是选择强化学习,但强化学习方法和训练流程的复杂性和不稳定性很大程度上制约了扩散模型的使用,因此,为了更好地理解 Diffusion Model + RL 这一系列技术的原理,同时探索它在不同类型决策问题上的潜力,OpenDILab 团队推出 Diffusion Model + RL 系列技术科普和研讨博客,希望和广大技术爱好者一起探索和讨论...
我们的训练过程和DeepSpeed教程中的不一样,并不是通过model_engine(bs)来获取模型输出,而是通过原始的模型,model.train_step(bs,i)来得到输出。这是由于前面一种方案需要实现forward方法,而我们的model是现在还是pytorch-lighting的子类,只有training_step方法。而这个方法本质上只是需要获得前向的结果,因此用model_engin...
项目左侧的项目大纲中有详细的项目步骤,分别是:Tutorial、Set Up、Diffusion and CLIP model settings、Settings、Diffuse。 Tutorial 该部分主要详细讲述了项目的主要参数。主要控制训练过程,以及提供在base图片上二次训练绘制功能等。感兴趣可自行研究。 Set Up ...
Args: score_model: A PyTorch model that represents the time-dependent score-based model. marginal_prob_std: A function that gives the standard deviation of the perturbation kernel. diffusion_coeff: A function that gives the diffusion coefficient of the SDE. batch_size: The number of samplers ...
Learn how to use Stable Diffusion, an advanced open-source deep learning model that generates high-quality images from text descriptions. This tutorial covers the basics of how the model works and step-by-step instructions for running Stable Diffusion online and locally. ...
The ControlNet clones the weights of a large diffusion model into a "trainable copy" and a "locked copy" Step2: 将得到的两个模型按照下图的模式一起训练,其中可训练模型中的Decoder结构是“零卷积”结构 The trainable and locked neural network blocks are connected with an unique type of convolution...
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch and FLAX. - huggingface/diffusers
Umar|多模态语言模型|Coding a Multimodal (Vision) Language Model from scratch in Pytorch 05:46:05 Umar《用PyTorch从零开始编写LLaMA2|Coding LLaMA 2 from scratch in PyTorch》deepseek翻译中英字幕 03:04:11 Umar 《用Pytorch从零开始编写SD|Coding Stable Diffusion from scratch in PyTorch》中英字幕 ...
Pytorch implementation of Diffusion models in SE(3) for grasp and motion generation This library provides the tools for training and sampling diffusion models in SE(3), implemented in PyTorch. We apply them to learn 6D grasp distributions. We use the learned distribution as cost function for gra...
This release comprises a Python package for converting Stable Diffusion models from PyTorch to Core ML using diffusers and coremltools, as well as a Swift package to deploy the models. To get started, visit theCore ML Stable Diffusioncode repository for detailed instructions on benchmarking and ...