Comments (7)
我用命令行的方式调用instant-mesh-large模型显存就够用了,用app.py可视化的那个估计是加载了多个模型导致显存不够,问题解决了
from instantmesh.
我用命令行的方式调用instant-mesh-large模型显存就够用了,用app.py可视化的那个估计是加载了多个模型导致显存不足,问题解决了
python run.py configs/instant-mesh-large.yaml examples/hatsune_miku.png --save_video 这个命令吗, 3090还是会显存不够
from instantmesh.
我主要是想要生成3d模型,没有生成视频,而且图片本身就已经去了背景,我也是用3090,显存够,命令如下:
python run.py configs/instant-mesh-large.yaml examples/hatsune_miku.png --no_rembg --export_texmap
我用命令行的方式调用instant-mesh-large模型显存就够用了,用app.py可视化的那个估计是加载了多个模型导致显存不足,问题解决了
python run.py configs/instant-mesh-large.yaml examples/hatsune_miku.png --save_video 这个命令吗, 3090还是会显存不够
from instantmesh.
我主要是想要生成3d模型,没有生成视频,而且图片本身就已经去了背景,我也是用3090,显存够了,命令如下: python run.py configs/instant-mesh-large.yaml Examples/hatsune_miku. png --no_rembg --export_texmap
我用命令行的方式调用instant-mesh-large模型显存就够用了,用app.py可视化的那个估计是加载了多个模型导致显存不足,问题解决了
python run.py configs/instant-mesh-large.yaml Examples/hatsune_miku.png --save_video这个命令吗, 3090还是会显存不够
解决了谢谢~
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好像 nerf 版本的 24G 不够用
from instantmesh.
@kingnobro 这个应该是因为nerf的volume rendering比较占显存,试试不保存video呢(把--save_video
去掉)?
from instantmesh.
@bluestyle97 可以了 :)
from instantmesh.
Related Issues (20)
- Training time?
- RuntimeError: handle_0 INTERNAL ASSERT FAILED at "../c10/cuda/driver_api.cpp":15, please report a bug to PyTorch.` HOT 1
- not all arguments converted during string formatting log HOT 2
- How to Improve Texture Quality and is there a way to tweak the model generation part by providing the normal maps?
- Torch cache not releasing
- Command '['ninja', '-v']' returned non-zero exit status 1
- Loading diffusion model ... Error HOT 1
- IndexError: too many indices for tensor of dimension 2
- Using other multi view models?
- Camera Augmentation in the released training code
- 编译中断问题
- 怎么配置数据集文件
- What is I wish to generate the mesh with multiple images ? - I have front view, left view, right view and back view of a chair - how can I create a mesh utilising all these images ? HOT 13
- Cuda version error when duplicating space on Hugging Face
- could you provide the rendering scripts to evalutate ? HOT 1
- 8GB of models downloading every time I launch app.py
- can providing good quality of image will not impact quality HOT 2
- INTERNAL ASSERT FAILED after generating multiviews
- Training CUDA Out Of Memory error HOT 5
- How to get the quantitative results as reported in the paper HOT 1
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from instantmesh.