假设类别 1 对应“狗”这个类guidance_scale=7.5# 控制类别引导的强弱,越大越强input=get_noise(...)# 从高斯分布随机取一个跟输出图像一样 shape 的噪声图fortintqdm(scheduler.timesteps):# 用 unet 推理,预测噪声withtorch.no_grad():noise_pred=unet(input,t).sample# 用 input 和预测出的 noise_pred...
一、 Classifier Guidance Diffusion 二、 Classifier-Free Guidance Diffusion 三、参考文献 一、 Classifier Guidance Diffusion 2021年OpenAI在「Diffusion Models Beat GANs on Image Synthesis」中提出Classifier Guidance,使得扩散模型能够按类生成。后来「More Control for Free! Image Synthesis with Semantic Diffusion ...
Thanks for the awesome code. If I am not wrong, the CFG implementation during training and inference seems to have some inconsitency. During training, the unconditioned text-embedding is set to 0 mask_indices = [k for k in range(len(prom...
通过上面的分析，可以知道。ContrilNet 在某些情况下可以替代 Classifier Free Guidance，但是这取决于任务...
// Classifier-Free Guidance // https://arxiv.org/abs/2306.17806 std::string cfg_negative_prompt; // string to help guidance float cfg_scale = 1.f; // How strong is guidance float cfg_smooth_factor = 1.f; // Smooth factor between old and new logits std::string model = "models/7B...
はじめにこの記事は、Stable DiffusionのClassifier Free Guidance(以下、CFG)の簡単な仕組みの説明記事です。対象読者Stable Diffusionで普…
We investigate the theoretical foundations of classifier-free guidance (CFG). CFG is the dominant method of conditional sampling for text-to-image diffusion models, yet unlike other aspects of diffusion, it remains on shaky theoretical footing. In this paper, we disprove common misconceptions, by ...
Minimal multi-gpu implementation of Diffusion Models with Classifier-Free Guidance (CFG) - FutureXiang/Diffusion
Fixes (#6981) instruct pix2pix pipeline scale model prediction to sigma space before computing classifier free guidance and scale back when done for schedulers operating in sigma space, which seems...