02d7abf514
failing to load model weights from settings won't break generation for currently loaded model anymore
32 lines
1.0 KiB
Python
32 lines
1.0 KiB
Python
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 connfig 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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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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