Closed r0buster closed 1 year ago
i've downloaded https://civitai.com/models/32794/toradora and it seems that lora really does not have a valid metadata segment. i have no idea how that lora was created/trained, it wasn't using any normal tools. i've tried one other lora from the same author and that one does have a valid metadata, so there is something wrong with this specific one. all-in-all, it seems like a valid error trying to load metadata, but it should not prevent rest of application to function at all, its just that particular metadata could not be loaded.
Issue Description
As the title says, after todays commit I cannot get the launch to finish.
2023-06-13 16:04:34,978 | sd | DEBUG | launch | Setup complete without errors: 1686665075 2023-06-13 16:04:34,983 | sd | INFO | installer | Extension preload: 0.0s C:\Apps\AI\automatic\extensions-builtin 2023-06-13 16:04:34,984 | sd | INFO | installer | Extension preload: 0.0s C:\Apps\AI\automatic\extensions 2023-06-13 16:04:34,998 | sd | INFO | launch | Server arguments: ['--upgrade'] 2023-06-13 16:04:40,467 | sd | INFO | webui | Libraries loaded 2023-06-13 16:04:40,470 | sd | INFO | webui | Using data path: C:\Apps\AI\automatic 2023-06-13 16:04:40,479 | sd | INFO | sd_vae | Available VAEs: C:\Apps\AI\automatic\models\VAE 5 2023-06-13 16:04:40,591 | sd | INFO | sd_models | Available models: C:\Apps\AI\automatic\models\Stable-diffusion 48
In the commit before this one, I got many errors like this in the sdnext.log. It might have to do with the way I sort my models, with spaces.
2023-06-13 13:26:25,123 | sd | ERROR | errors | reading lora C:\Apps\AI\automatic\models\Lora\9 Untested\toradora_v10.safetensors: JSONDecodeError
Version Platform Description
16:03:45-715956 INFO Python 3.10.11 on Windows 16:03:45-756514 INFO Version: 0d101b9d Tue Jun 13 15:36:41 2023 +0300 16:03:46-121668 INFO nVidia CUDA toolkit detected 16:03:47-400597 INFO Torch 2.0.0+cu118 16:03:47-420730 INFO Torch backend: nVidia CUDA 11.8 cuDNN 8700 16:03:47-421731 INFO Torch detected GPU: NVIDIA GeForce RTX 3080 VRAM 10240 Arch (8, 6) Cores 68
Acknowledgements