60 changes: 27 additions & 33 deletions 60 ControlNeXt-SDXL/utils/tools.py Original file line numberDiff line numberDiff line change @@ -1,14 +1,22 @@ import os import gc import torch from torch import nn from diffusers import UniPCMultistepScheduler, AutoencoderKL from diffusers import...
modeling_utils import PreTrainedModel class AverageMeter: Expand Down Expand Up @@ -65,18 +64,6 @@ def count_parameters(model: torch.nn.Module) -> Tuple[int, int]: return trainable_params, all_param def infer_optim_dtype(model_dtype: torch.dtype) -> torch.dtype: r""" Infers the ...
valid_loader=torch.utils.data.DataLoader(valid_dataset,batch_size=batch_size,sampler=valid_sampler)return(train_loader,valid_loader)train_loader,valid_loader=data_loader(data_dir='./data',batch_size=64)test_loader=data_loader(data_dir='./data',batch_size=64,test=True) Copy ResNet from Scrat...
utils update torch_gc 2年前 vectorstores 标题增强 (#631) 2年前 views Fix #635: 解决vue前端镜像构建失败的问题 2年前 .gitignore add delete knowledge base and delete files from knowledge base to webui 2年前 CONTRIBUTING.md Add Contribution Guide ...
本实验通过在ECS上从零开始部署Stable Diffusion来进行AI绘画创作,开启AIGC盲盒。 第4步会有报错 ERROR: Could not find a version that satisfies the requirement open-clip-torch (from versions: none) ERROR: No matching distribution found for open-clip-torch ...
Pythonimporttorch 没有报错,接着输入:importtorchvision报错了。报错解释:torchvision在运行时要调用PIL模块,调用PIL模块的PILLOW_VERSION函数。但是PILLOW_VERSION在Pillow7.0.0之后的版本被移除了,Pillow7.0.0之后的版本使用__version__函数代替PILLOW_VERSION函数 ...
Escola de Farmácia – Universidade Federal de Ouro Preto, Campus Morro do Cruzeiro, Ouro Preto, BrazilReis, Adriana Cotta CardosoEscola de Farmácia – Universidade Federal de Ouro Preto, Campus Morro do Cruzeiro, Ouro Preto, BrazilTorchelsen, Fernanda Karoline Vieira Silva...
二、AIGC技术的发展 类似于图片生成任务,随着技术的发展,AIGC生成图片的质量越来越高。 什么是文生图? 简单的例子:"一只戴着太阳镜的小松鼠在演奏吉他"经过文生图的模型,阔以输出对应的一张RGB的图像。 文生图的发展历程如以下4个阶段: 1、基于生成对抗网络的(GAN)模型 ...
import torch import gc from diffusers.utils import load_image from accelerate.utils import compute_module_sizes base_repo = "SG161222/Realistic_Vision_V6.0_B1_noVAE" num_inference_steps = 50 image = load_image("https://huggingface.co/datasets/huggingface/documentation-images/resolve/main/diffusers...
benchmark also monitors both cpu and gpu memory utilization and performs gc between ops, so it can be clearly visible where are weights located at each step as mentioned before, when using safetensors.torch.load_file actual load is ~1sec while applying weights takes a very long time actual...