fromdiffusers.utilsimportload_image pipe = StableDiffusion3Img2ImgPipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", torch_dtype=torch.float16) pipe = pipe.to("cuda") init_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffu...
from diffusers.utils import load_imageimage = 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 cv2from PIL import Imageimport numpy as npimage = np.array(image)low_threshold = 100...
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_...
from diffusers.utils import load_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: import cv2 from PIL import Image import numpy as np image = np.array(image) low_thresho...
from diffusers.utils import load_image pipe = StableDiffusion3Img2ImgPipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers", torch_dtype=torch.float16) pipe = pipe.to("cuda") init_image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main...
fromdiffusersimportAutoPipelineForInpaintingfromdiffusers.utilsimportload_imageimporttorchpipeline=AutoPipelineForInpainting.from_pretrained("stabilityai/stable-diffusion-xl-base-1.0",torch_dtype=torch.float16,use_safetensors=True).to("cuda")img_url="https://raw.githubusercontent.com/CompVis/latent-diffus...
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....
importtorchfromdiffusersimportStableDiffusion3Img2ImgPipelinefromdiffusers.utilsimportload_image pipe=StableDiffusion3Img2ImgPipeline.from_pretrained("stabilityai/stable-diffusion-3-medium-diffusers",torch_dtype=torch.float16)pipe=pipe.to("cuda")init_image=load_image("https://huggingface.co/datasets/huggin...
from ppdiffusers import StableDiffusionControlNetPipeline, ControlNetModel from ppdiffusers.utils import load_image from IPython.display import clear_output # 图片序号 c = 0 %mkdir /home/aistudio/outputs/text2image/ # 下面的代码只运行一次,要加载其他的模型需要修改模型路径后再次运行. # 加载ControlNet...
Generating outputs is super easy with 🤗 Diffusers. To generate an image from text, use thefrom_pretrainedmethod to load any pretrained diffusion model (browse theHubfor 30,000+ checkpoints): fromdiffusersimportDiffusionPipelineimporttorchpipeline=DiffusionPipeline.from_pretrained("stable-diffusion-v1...