# The embedding layer will map the class label to a vector of size class_emb_size self.class_emb = nn.Embedding(num_classes, class_emb_size) # Self.model is an unconditional UNet with extra input channels to accept the conditioning information (the class embedding) self.model = UNet2DMod...
❓如果你有任何问题,请发布在 Hugging Face 的 Discord 服务器#diffusion-models-class频道中。你可以在这里完成注册: https://hf.co/join/discord 预备知识 在进入 Notebook 之前,你需要: 📖 阅读完上面的的材料 🤗 在 Hugging Face Hub 上创建一个账户。你可以在这里完成注册: https://hf.co/join 步...
We are excited to share that the Diffusion Models Class with Hugging Face and Jonathan Whitaker will be released on November 28th 🥳! In this free course, you will learn all about the theory and application of diffusion models -- one of the most exciting developments in deep learn...
We are excited to share that the Diffusion Models Class with Hugging Face and Jonathan Whitaker will be released on November 28th 🥳! In this free course, you will learn all about the theory and application of diffusion models -- one of the most exciting developments in deep...
inspect import isfunctionfrom functools import partial%matplotlib inlineimport matplotlib.pyplot as pltfrom tqdm.auto import tqdmfrom einops import rearrange, reducefrom einops.layers.torch import Rearrangeimport torchfrom torch import nn, einsumimport torch.nn.functional as FWhat is a diffusion model?
model = AutoModelForObjectDetection.from_pretrained("microsoft/conditional-detr-resnet-50") inputs = image_processor(images=image, return_tensors="pt") outputs = model(**inputs) # convert outputs (bounding boxes and class logits) to COCO API ...
通过解析推理时实际调用的模型对象,我们可以了解到,这个模型的 PyTorch 对象类为 class bodypose_model(nn.Module),输入为 NCHW 格式的图像 tensor,而他在 controlnet_aux 库推理过程中抽象出的实例是 OpenposeDetector.body_estimation.model,因此我们可以通过以下方法将他导出为 ONNX 格式: ...
https://github.com/huggingface/diffusers/blob/main/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_controlnet.py#L188 4) 创建钩子脚本 class controlnet_input_shape¬¬(object):def __init__(self, model) -> None:super().__init__()self.model = modelself.dtype = model.d...
通过解析推理时实际调用的模型对象,我们可以了解到,这个模型的 PyTorch 对象类为 class bodypose_model(nn.Module),输入为 NCHW 格式的图像 tensor,而他在 controlnet_aux 库推理过程中抽象出的实例是 OpenposeDetector.body_estimation.model,因此我们可以通过以下方法将他导出为 ONNX 格式: ...
What is a diffusion model? 如果将(去噪)扩散模型与其他生成模型如正规化流、生成对抗网络(GANs)或变分自编码器(VAEs)进行比较,它并不那么复杂:它们都将来自某种简单分布的噪声转换为数据样本。这里的情况也是如此,神经网络学会了从纯噪声开始逐步去噪数据。