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