load_image("https://huggingface.co/datasets/YiYiXu/controlnet-testing/resolve/main/" + url) for url in urls]image_grid(imgs, 2, 2) 通过 controlnet_aux 提供的 OpenPose 预处理器,我们可以很方便地提取瑜伽姿态。 from controlnet_aux import OpenposeDetectormodel = OpenposeDetector.from_pretrained...
fromdiffusers.utilsimportload_image image = load_image( "https://hf.co/datasets/huggingface/documentation-images/resolve/main/diffusers/input_image_vermeer.png" ) image 然后将图像输入给 Canny 预处理器: importcv2 fromPILimportImage importnumpyasnp image = np.array(image) low_threshold =100 high_...
>>>fromdiffusers.utilsimportload_image# 定义生成深度提示的函数>>>defmake_hint(image, depth_estimator):# 使用深度估计器获取图像的深度信息... image = depth_estimator(image)["depth"]# 将深度信息转换为 NumPy 数组... image = np.array(image)# 为深度图像增加一个维度... image = image[:, :,...
image=load_image("https://hf.co/datasets/huggingface/documentation-images/resolve/main/diffusers/input_image_vermeer.png")image 然后将图像输入给 Canny 预处理器: importcv2fromPILimportImageimportnumpyasnp image=np.array(image)low_threshold=100high_threshold=200image=cv2.Canny(image,low_threshold,high...
image = load_image( "https://hf.co/datasets/huggingface/documentation-images/resolve/main/diffusers/input_image_vermeer.png" ) image 然后将图像输入给 Canny 预处理器: import cv2 from PIL import Image import numpy as np image = np.array(image) ...
函数随后会准备训练集。这个脚本用HuggingFace的 datasets 库来管理数据集。我们既可以读取在线数据集,也可以读取本地的图片文件夹数据集。自定义数据集的方法可以参考https://huggingface.co/docs/datasets/v2.4.0/en/image_load#imagefolder。 if args.dataset_name is not None: ...
from PIL import Image if torch.cuda.is_available(): device_name = torch.device("cuda") torch_dtype = torch.float16 else: device_name = torch.device("cpu") torch_dtype = torch.float32 接下来,我们从 Civita 下载模型 safetensors 文件。 在本文中,我们使用该模型生成 Celsia 发布的中国水彩画...
init_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png") prompt = "cat wizard, gandalf, lord of the rings, detailed, fantasy, cute, adorable, Pixar, Disney, 8k" image = pipe(prompt, image=init_image).images[0] ...
import paddle from ppdiffusers import stablediffusioninpaintpipeline from ppdiffusers import stablediffusionimg2imgpipeline from ppdiffusers import paintbyexamplepipeline from ppdiffusers.utils import load_image 建议使用paddle 2.5.0以上版本否则导入会出错. 2.从hugging face下载必要的模型 in [ ] paddle....
=pipe.to("cuda")init_image=load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers/cat.png")prompt="cat wizard, gandalf, lord of the rings, detailed, fantasy, cute, adorable, Pixar, Disney, 8k"image=pipe(prompt,image=init_image).images[0]image...