CUDA Issue with Mac — help?

[doricem]

Installed on a M1 Mac. Tried running, but get this "exception occurred" -- how can I use "torch.load" to map my storages as it says?

ModelScope text2video extension for auto1111 webui
Git commit: eed8524d (Mon Mar 20 15:00:12 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'})
Exception occured
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.

Please excuse my lack of understanding. Is this something I need to change in the config.json file?

[kabachuha]

Config file won't help much, it's more about the 'device' setting in the code which currently is either 'cuda' or 'cpu'. I can try adding 'mps' as well, open a feature request to keep a track of it better

[doricem]

Okay. Created a feature request. Thank you for the response.