Open wudabingm opened 7 months ago
我也遇到了这个问题 请问解决了吗
The problem may have been resolved by utilizing Google colab, but I encountered the same issue when attempting to run it locally.
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
我也遇到了这个问题 请问解决了吗
还没有解决,好兄弟
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 Inference
dev = 'cuda:4 '
todev = 'cuda:0'
and execute all the code from start to finish.
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 Inference
dev = '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.
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
fix it by change
pipe = StableDiffusionControlNetPipeline.from_pretrained( "./pretrained_model/stable-diffusion-v1-5", controlnet=controlnet, torch_dtype=torch.float16 )
to
pipe = StableDiffusionControlNetPipeline.from_pretrained( "./pretrained_model/stable-diffusion-v1-5", controlnet=controlnet, safety_checker=None, torch_dtype=torch.float16 )
我自己的原因是在 from_pretrained 参数里没有正确指定 safety_checker=None 这个变量,加进去就好了
Traceback (most recent call last): File "/home/lhs/project/nerf...wu/depth-fm-main/inference.py", line 113, in
main(args)
File "/home/lhs/project/nerf...wu/depth-fm-main/inference.py", line 64, in main
model = DepthFM(args.ckpt)
^^^^^^^^^^^^^^^^^^
File "/home/lhs/project/nerf...wu/depth-fm-main/depthfm/dfm.py", line 21, in init
self.vae = AutoencoderKL.from_pretrained(vae_id, subfolder="vae")
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/home/lhs/.conda/envs/depthfm/lib/python3.11/site-packages/huggingface_hub/utils/_validators.py", line 119, in _inner_fn
return fn(*args, *kwargs)
^^^^^^^^^^^^^^^^^^^
File "/home/lhs/.conda/envs/depthfm/lib/python3.11/site-packages/diffusers/models/modeling_utils.py", line 569, in from_pretrained
config, unused_kwargs, commit_hash = cls.load_config(
^^^^^^^^^^^^^^^^
File "/home/lhs/.conda/envs/depthfm/lib/python3.11/site-packages/huggingface_hub/utils/_validators.py", line 119, in _inner_fn
return fn(args, **kwargs)
^^^^^^^^^^^^^^^^^^^
File "/home/lhs/.conda/envs/depthfm/lib/python3.11/site-packages/diffusers/configuration_utils.py", line 402, in load_config
raise EnvironmentError(
OSError: runwayml/stable-diffusion-v1-5 does not appear to have a file named config.json.