FreeBlues
commented
1 year ago The same issue.
Windows10 GPU: AMD RX6600 8G
On setting, I select CPU-Only
error log:
To create a public link, set `share=True` in `launch()`.
Startup time: 0.8s (load scripts: 0.2s, create ui: 0.5s).
text2video — The model selected is: ModelScope
text2video extension for auto1111 webui
Git commit: 4fea1ada (Sun Apr 23 10:39:51 2023)
Starting text2video
Pipeline setup
config namespace(framework='pytorch', task='text-to-video-synthesis', model={'type': 'latent-text-to-video-synthesis', 'model_args': {'ckpt_clip': 'open_clip_pytorch_model.bin', 'ckpt_unet': 'text2video_pytorch_model.pth', 'ckpt_autoencoder': 'VQGAN_autoencoder.pth', 'max_frames': 16, 'tiny_gpu': 1}, 'model_cfg': {'unet_in_dim': 4, 'unet_dim': 320, 'unet_y_dim': 768, 'unet_context_dim': 1024, 'unet_out_dim': 4, 'unet_dim_mult': [1, 2, 4, 4], 'unet_num_heads': 8, 'unet_head_dim': 64, 'unet_res_blocks': 2, 'unet_attn_scales': [1, 0.5, 0.25], 'unet_dropout': 0.1, 'temporal_attention': 'True', 'num_timesteps': 1000, 'mean_type': 'eps', 'var_type': 'fixed_small', 'loss_type': 'mse'}}, pipeline={'type': 'latent-text-to-video-synthesis'})
Traceback (most recent call last):
File "E:\Github\stable-diffusion-webui-directml/extensions/sd-webui-text2video/scripts\t2v_helpers\render.py", line 24, in run
vids_pack = process_modelscope(args_dict)
File "E:\Github\stable-diffusion-webui-directml/extensions/sd-webui-text2video/scripts\modelscope\process_modelscope.py", line 55, in process_modelscope
pipe = setup_pipeline()
File "E:\Github\stable-diffusion-webui-directml/extensions/sd-webui-text2video/scripts\modelscope\process_modelscope.py", line 26, in setup_pipeline
return TextToVideoSynthesis(ph.models_path+'/ModelScope/t2v')
File "E:\Github\stable-diffusion-webui-directml/extensions/sd-webui-text2video/scripts\modelscope\t2v_pipeline.py", line 86, in __init__
torch.load(
File "E:\Github\stable-diffusion-webui-directml\modules\safe.py", line 106, in load
return load_with_extra(filename, extra_handler=global_extra_handler, *args, **kwargs)
File "E:\Github\stable-diffusion-webui-directml\modules\safe.py", line 151, in load_with_extra
return unsafe_torch_load(filename, *args, **kwargs)
File "E:\Github\stable-diffusion-webui-directml\venv\lib\site-packages\torch\serialization.py", line 789, in load
return _load(opened_zipfile, map_location, pickle_module, **pickle_load_args)
File "E:\Github\stable-diffusion-webui-directml\venv\lib\site-packages\torch\serialization.py", line 1131, in _load
result = unpickler.load()
File "E:\Users\admin\AppData\Local\Programs\Python\Python310\lib\pickle.py", line 1213, in load
dispatch[key[0]](self)
File "E:\Users\admin\AppData\Local\Programs\Python\Python310\lib\pickle.py", line 1254, in load_binpersid
self.append(self.persistent_load(pid))
File "E:\Github\stable-diffusion-webui-directml\venv\lib\site-packages\torch\serialization.py", line 1101, in persistent_load
load_tensor(dtype, nbytes, key, _maybe_decode_ascii(location))
File "E:\Github\stable-diffusion-webui-directml\venv\lib\site-packages\torch\serialization.py", line 1083, in load_tensor
wrap_storage=restore_location(storage, location),
File "E:\Github\stable-diffusion-webui-directml\venv\lib\site-packages\torch\serialization.py", line 215, in default_restore_location
result = fn(storage, location)
File "E:\Github\stable-diffusion-webui-directml\venv\lib\site-packages\torch\serialization.py", line 182, in _cuda_deserialize
device = validate_cuda_device(location)
File "E:\Github\stable-diffusion-webui-directml\venv\lib\site-packages\torch\serialization.py", line 166, in validate_cuda_device
raise RuntimeError('Attempting to deserialize object on a CUDA '
RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.
Exception occurred: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.
GoZippy
TheSloppiestOfJoes
system3600
jppmo
Is there an existing issue for this?
Are you using the latest version of the extension?
What happened?
raise RuntimeError('Attempting to deserialize object on a CUDA ' RuntimeError: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU. Exception occurred: Attempting to deserialize object on a CUDA device but torch.cuda.is_available() is False. If you are running on a CPU-only machine, please use torch.load with map_location=torch.device('cpu') to map your storages to the CPU.
I get this error every time I use the extension I get this error, can anyone help me?
Steps to reproduce the problem
What should have happened?
No response
WebUI and Deforum extension Commit IDs
webui commit id - 41d5450a0a559469b354fd56cac0fe1ab3cf2f40 txt2vid commit id - 6e2f2a816ae79ae996379a359414ae2e61222baf
What GPU were you using for launching?
CPU (i only have a AMD card), 12 GB of ram
On which platform are you launching the webui backend with the extension?
Local PC setup (Windows)
Settings
Console logs
Additional information
I'm using CPU mode, the only gpu I have is from AMD and it's not supported (as far as I know about text2vid).