@aydaoWould you mind elaborating about how you train the ffhq 256 or sharing the code? I can not reproduce the results. You mention thatfinetune the 256x256 layers (especially the toRGB layer). What do you mean byespecially the toRGB layer, you mean first finetune the 256x256 toRGB ...
from templates import * from templates_latent import * if __name__ == '__main__': # 256 requires 8x v100s, in our case, on two nodes. # do not run this directly, use `sbatch run_ffhq256.sh` to spawn the srun properly. gpus = [0, 1, 2, 3] nodes = 2 conf = ffhq256_...
Flickr-Faces-HQ Dataset (FFHQ) 256x256 艾梦 7枚 CC BY 4.0 计算机视觉 5 119 2021-10-18 详情 相关项目 评论(0) 创建项目 数据集介绍 数据来自互联网, 如果涉及到侵权问题,请联系本人进行删除修改等操作。 文件列表 images256x256.zip images256x256.zip (6950.49M) 下载 File Name Size Update Time ...
PixelFolder_ffhq_256 (0)踩踩(0) 所需:1积分 产品原型——移动端刷新及加载交互.rp 2024-12-27 05:32:46 积分:1 产品原型——移动端表单验证及登录交互.rp 2024-12-27 05:31:50 积分:1 产品原型——电商后台.rp 2024-12-27 05:24:12
dataNmae = "FFHQ256" modelName = "GraphMemory" modelName = modelName + "_" + distanceType device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu") trainX1, testX1 = Load_FFHQ() myModelName = modelName + "_" + dataNmae + ".pkl" TSFramework = torch.load('....
This is the implementation of Online Task-Free Continual Generative and Discriminative Learning via Dynamic Cluster Memory - DCM/GraphMemory_JS_FFHQ256.py at main · dtuzi123/DCM
#!/bin/sh #SBATCH --gres=gpu:4 #SBATCH --cpus-per-gpu=8 #SBATCH --mem-per-gpu=32GB #SBATCH --nodes=2 #SBATCH --ntasks=8 #SBATCH --partition=gpu-cluster #SBATCH --time=72:00:00 export NCCL_DEBUG=INFO export PYTHONFAULTHANDLER=1 srun python run_ffhq256.py 1 2 3 4 5 6 7...
#!/bin/sh #SBATCH --gres=gpu:4 #SBATCH --cpus-per-gpu=8 #SBATCH --mem-per-gpu=32GB #SBATCH --nodes=2 #SBATCH --ntasks=8 #SBATCH --partition=gpu-cluster #SBATCH --time=72:00:00 export NCCL_DEBUG=INFO export PYTHONFAULTHANDLER=1 srun python run_ffhq256.py 1 2 3 4 5 6 7...
#!/bin/sh #SBATCH --gres=gpu:4 #SBATCH --cpus-per-gpu=8 #SBATCH --mem-per-gpu=32GB #SBATCH --nodes=2 #SBATCH --ntasks=8 #SBATCH --partition=gpu-cluster #SBATCH --time=72:00:00 export NCCL_DEBUG=INFO export PYTHONFAULTHANDLER=1 srun python run_ffhq256.py 1 2 3 4 5 6 7...