Comments (8)
有人解决了吗?
HF_ENDPOINT=https://hf-mirror.com python inference.py --num_steps 2 --ensemble_size 4 --img assets/dog.png --ckpt checkpoints/depthfm-v1.ckpt
这样运行这行命令有效,是因为抱抱脸连接不稳定
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我也遇到了这个问题 请问解决了吗
from depth-fm.
The problem may have been resolved by utilizing Google colab, but I encountered the same issue when attempting to run it locally.
from depth-fm.
The problem may have been resolved by utilizing Google colab, but I encountered the same issue when attempting to run it locally.
Could you please tell me how to operate google colab? In addition, if the config error is reported, I can run it locally, but not on the server
from depth-fm.
我也遇到了这个问题 请问解决了吗
还没有解决,好兄弟
from depth-fm.
The problem may have been resolved by utilizing Google colab, but I encountered the same issue when attempting to run it locally.
Could you please tell me how to operate google colab? In addition, if the config error is reported, I can run it locally, but not on the server
Just look at the code in the inference.ipynb file and change the
Inferencedev = 'cuda:4 '
todev = 'cuda:0'
and execute all the code from start to finish.
from depth-fm.
The problem may have been resolved by utilizing Google colab, but I encountered the same issue when attempting to run it locally.
Could you please tell me how to operate google colab? In addition, if the config error is reported, I can run it locally, but not on the server
Just look at the code in the inference.ipynb file and change the
Inferencedev = 'cuda:4 '
todev = 'cuda:0'
and execute all the code from start to finish.
But I started reporting errors in the inference.ipynb load model step of the code, the same error, runwayml/stable-diffusion-v1-5 does not appear to have a file named config.json.
from depth-fm.
有人解决了吗?
from depth-fm.
Related Issues (20)
- Explanation of # of Steps and # of Ensembles HOT 2
- Mismatch B/w Different Runs HOT 1
- MAJOR WARNING - jpg files get overwritten by the output HOT 1
- output non-colored maps so they're usable in programs that will convert to 3d using white front / black back HOT 2
- batch processing HOT 3
- Results converted to 3D look very inaccurate HOT 4
- about the encoder HOT 1
- Vector displacement? [feature request]
- How to output the uncertainty? HOT 1
- Are you ready to open source train files?
- Question about the flow-matching formulation in the paper HOT 1
- nice work,the train code
- how to achieve depth inpainting by your model HOT 1
- timesteps during the training HOT 2
- Assumes CUDA, doesn't use safetensors HOT 2
- Cant reproduce image on project website HOT 3
- what's the best processing res that produces the best results? HOT 1
- size of tensor mismatch HOT 2
- training problem HOT 1
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