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Configuration error
Configuration error
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) | |