(ootd) root@autodl-container-71164ea666-32411d06:~/autodl-tmp/OOTDiffusion-main/run# python gradio_ootd.py
Loading pipeline components...: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 7/7 [00:01<00:00, 6.67it/s]
text_config_dict is provided which will be used to initialize CLIPTextConfig. The value text_config["id2label"] will be overriden.
text_config_dict is provided which will be used to initialize CLIPTextConfig. The value text_config["bos_token_id"] will be overriden.
text_config_dict is provided which will be used to initialize CLIPTextConfig. The value text_config["eos_token_id"] will be overriden.
Traceback (most recent call last):
File "/root/autodl-tmp/OOTDiffusion-main/run/gradio_ootd.py", line 25, in
openpose_model_dc = OpenPose(1)
File "/root/autodl-tmp/OOTDiffusion-main/preprocess/openpose/run_openpose.py", line 32, in init
torch.cuda.set_device(gpu_id)
File "/root/miniconda3/envs/ootd/lib/python3.10/site-packages/torch/cuda/init.py", line 351, in set_device
torch._C._cuda_setDevice(device)
RuntimeError: CUDA error: invalid device ordinal
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with TORCH_USE_CUDA_DSA to enable device-side assertions.
i have 2 gpus 3080Ti
log
(ootd) root@autodl-container-71164ea666-32411d06:~/autodl-tmp/OOTDiffusion-main/run# python gradio_ootd.py Loading pipeline components...: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 7/7 [00:01<00:00, 6.67it/s]
openpose_model_dc = OpenPose(1)
File "/root/autodl-tmp/OOTDiffusion-main/preprocess/openpose/run_openpose.py", line 32, in init
torch.cuda.set_device(gpu_id)
File "/root/miniconda3/envs/ootd/lib/python3.10/site-packages/torch/cuda/init.py", line 351, in set_device
torch._C._cuda_setDevice(device)
RuntimeError: CUDA error: invalid device ordinal
CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect.
For debugging consider passing CUDA_LAUNCH_BLOCKING=1.
Compile with
text_config_dictis provided which will be used to initializeCLIPTextConfig. The valuetext_config["id2label"]will be overriden.text_config_dictis provided which will be used to initializeCLIPTextConfig. The valuetext_config["bos_token_id"]will be overriden.text_config_dictis provided which will be used to initializeCLIPTextConfig. The valuetext_config["eos_token_id"]will be overriden. Traceback (most recent call last): File "/root/autodl-tmp/OOTDiffusion-main/run/gradio_ootd.py", line 25, inTORCH_USE_CUDA_DSAto enable device-side assertions.