When I just take the image from docker hub, it should work without any additional steps, right?
This is what I get:
`2024-01-03 19:06:44
2024-01-03 19:06:44 ==========
2024-01-03 19:06:44 == CUDA ==
2024-01-03 19:06:44 ==========
2024-01-03 19:06:44
2024-01-03 19:06:44 CUDA Version 11.8.0
2024-01-03 19:06:44
2024-01-03 19:06:44 Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved.
2024-01-03 19:06:44
2024-01-03 19:06:44 This container image and its contents are governed by the NVIDIA Deep Learning Container License.
2024-01-03 19:06:44 By pulling and using the container, you accept the terms and conditions of this license:
2024-01-03 19:06:44 https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license
2024-01-03 19:06:44
2024-01-03 19:06:44 A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience.
2024-01-03 19:06:44
2024-01-03 19:06:44 WARNING: The NVIDIA Driver was not detected. GPU functionality will not be available.
2024-01-03 19:06:44 Use the NVIDIA Container Toolkit to start this container with GPU support; see
2024-01-03 19:06:44 https://docs.nvidia.com/datacenter/cloud-native/ .
2024-01-03 19:06:44
2024-01-03 19:06:50 font_manager.py :1547 2024-01-03 18:06:50,240 generated new fontManager
2024-01-03 19:06:50 Traceback (most recent call last):
2024-01-03 19:06:50 File "/handler.py", line 8, in
2024-01-03 19:06:50 from inference import main
2024-01-03 19:06:50 File "/inference.py", line 9, in
2024-01-03 19:06:50 from src.facerender.animate import AnimateFromCoeff
2024-01-03 19:06:50 File "/src/facerender/animate.py", line 27, in
2024-01-03 19:06:50 from utils import upload_firebase_file, save_video_without_watermark
2024-01-03 19:06:50 File "/utils.py", line 31, in
2024-01-03 19:06:50 load_credentials()
2024-01-03 19:06:50 File "/utils.py", line 17, in load_credentials
2024-01-03 19:06:50 "project_id": os.environ["project_id"],
2024-01-03 19:06:50 File "/usr/lib/python3.8/os.py", line 675, in getitem
2024-01-03 19:06:50 raise KeyError(key) from None
2024-01-03 19:06:50 KeyError: 'project_id'`
I have an RTX3090 and all NVideo drivers installed but I am on Win11. I'm really looking for a way to get ST working through an API or commandline. I have it running as a SD extension but no way to externally control it that way. So I was looking for running solutions in Docker with an API. Found yours. But these ST docker images seem to have problems with nvidia?
When I just take the image from docker hub, it should work without any additional steps, right?
This is what I get:
`2024-01-03 19:06:44
2024-01-03 19:06:44 ==========
2024-01-03 19:06:44 == CUDA ==
2024-01-03 19:06:44 ==========
2024-01-03 19:06:44 2024-01-03 19:06:44 CUDA Version 11.8.0 2024-01-03 19:06:44 2024-01-03 19:06:44 Container image Copyright (c) 2016-2023, NVIDIA CORPORATION & AFFILIATES. All rights reserved. 2024-01-03 19:06:44 2024-01-03 19:06:44 This container image and its contents are governed by the NVIDIA Deep Learning Container License. 2024-01-03 19:06:44 By pulling and using the container, you accept the terms and conditions of this license: 2024-01-03 19:06:44 https://developer.nvidia.com/ngc/nvidia-deep-learning-container-license 2024-01-03 19:06:44 2024-01-03 19:06:44 A copy of this license is made available in this container at /NGC-DL-CONTAINER-LICENSE for your convenience. 2024-01-03 19:06:44 2024-01-03 19:06:44 WARNING: The NVIDIA Driver was not detected. GPU functionality will not be available. 2024-01-03 19:06:44 Use the NVIDIA Container Toolkit to start this container with GPU support; see 2024-01-03 19:06:44 https://docs.nvidia.com/datacenter/cloud-native/ . 2024-01-03 19:06:44 2024-01-03 19:06:50 font_manager.py :1547 2024-01-03 18:06:50,240 generated new fontManager 2024-01-03 19:06:50 Traceback (most recent call last): 2024-01-03 19:06:50 File "/handler.py", line 8, in
2024-01-03 19:06:50 from inference import main
2024-01-03 19:06:50 File "/inference.py", line 9, in
2024-01-03 19:06:50 from src.facerender.animate import AnimateFromCoeff
2024-01-03 19:06:50 File "/src/facerender/animate.py", line 27, in
2024-01-03 19:06:50 from utils import upload_firebase_file, save_video_without_watermark
2024-01-03 19:06:50 File "/utils.py", line 31, in
2024-01-03 19:06:50 load_credentials()
2024-01-03 19:06:50 File "/utils.py", line 17, in load_credentials 2024-01-03 19:06:50 "project_id": os.environ["project_id"], 2024-01-03 19:06:50 File "/usr/lib/python3.8/os.py", line 675, in getitem 2024-01-03 19:06:50 raise KeyError(key) from None 2024-01-03 19:06:50 KeyError: 'project_id'`
I have an RTX3090 and all NVideo drivers installed but I am on Win11. I'm really looking for a way to get ST working through an API or commandline. I have it running as a SD extension but no way to externally control it that way. So I was looking for running solutions in Docker with an API. Found yours. But these ST docker images seem to have problems with nvidia?