Inference # sample 64 images samples = sample(model, image_size=image_size, batch_size=64, channels=channels) # show a random one random_index = 5 plt.imshow(samples[-1][random_index].reshape(image_size, image_size, channels), cmap="gray") 或者也可以生成动图 import matplotlib.animation...
根据马尔可夫性质可以在训练时maximun log-likelihood 不用去预测前一步denoised image (这是最早Diffusion Model干的事情) 而直接去预测噪音或原始图片 DDPM denoised 神经网络本质是在学习不同阶段(time step)对应高斯概率分布的均值,因此在inference时想生成样本仍要根据预测的概率分布进行采样,或者通过重参数化技巧去...
对于预训练而言，一般 batch size 越大，训练速度也越快，Diffusion model 也是类似的。Colossal- AI 通过 ZeRO，Gemini, Chunk-based 内存管理等策略以及 Flash Attention 模块优化 Cross-attention 计算，极大地降低了 Diffusion model 的训练的显存开销，使用户在 10G 显存的消费级显卡（如 RTX3080）上就可以训练 ...
34、Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Model 基于参考的超分辨率(RefSR)有潜力在遥感图像的空间和时间分辨率之间建立桥梁。然而,现有的 RefSR 方法受到内容重建的忠实度和大比例因子下纹理传输的有效性的限制。 条件...
062 (2023-11-22) Accelerating Inference in Molecular Diffusion Models with Latent Representations of Protein Structure https://arxiv.org/pdf/2311.13466.pdf 063 (2023-11-22) Recognition-Guided Diffusion Model for Scene Text Image Super-Resolution ...
Well-executed data processing ensures high-quality training data and contributes to the model's ability to learn meaningful patterns and generate high-quality images (or other data types) during inference. Introducing noise: Forward diffusion process The forward diffusion process begins by sampling from...
[CVPR 2023] Executing your Commands via Motion Diffusion in Latent Space, a fast and high-quality motion diffusion model - ChenFengYe/motion-latent-diffusion
CFG is used in many applications, since it allows to train a conditional diffusion model and unconditional diffusion model at the same time. During inference, we can combine both models and control the generation process using a guidance weight. ...
Latent Diffusion model 对比传统端到端的深度学习模型,扩散模型的训练过程无疑更为复杂,以 Stable Diffusion 为例,除了扩散模型本身,还有一个 Frozen CLIP Textcoder 来输入 text prompts,以及一个 Autoencoder 实现将高分辨率图像压缩到潜在空间(Latent Space),并在每个 time step 计算 loss。这对训练方案的显存开销...
Diffusion 模型加速原理：diffusion model 除一致性 model 外普遍需要多步采样（少则50步，多则1000步）...