| import sys |
| import traceback |
|
|
|
|
| def print_error_explanation(message): |
| lines = message.strip().split("\n") |
| max_len = max([len(x) for x in lines]) |
|
|
| print('=' * max_len, file=sys.stderr) |
| for line in lines: |
| print(line, file=sys.stderr) |
| print('=' * max_len, file=sys.stderr) |
|
|
|
|
| def display(e: Exception, task): |
| print(f"{task or 'error'}: {type(e).__name__}", file=sys.stderr) |
| print(traceback.format_exc(), file=sys.stderr) |
|
|
| message = str(e) |
| if "copying a param with shape torch.Size([640, 1024]) from checkpoint, the shape in current model is torch.Size([640, 768])" in message: |
| print_error_explanation(""" |
| The most likely cause of this is you are trying to load Stable Diffusion 2.0 model without specifying its config file. |
| See https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki/Features#stable-diffusion-20 for how to solve this. |
| """) |
|
|
|
|
| already_displayed = {} |
|
|
|
|
| def display_once(e: Exception, task): |
| if task in already_displayed: |
| return |
|
|
| display(e, task) |
|
|
| already_displayed[task] = 1 |
|
|
|
|
| def run(code, task): |
| try: |
| code() |
| except Exception as e: |
| display(task, e) |
|
|