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Is it necessary to opt for the SDXL Refiner model? Can it be omitted from selection?
Exception in thread Thread-2 (worker):
Traceback (most recent call last):
File "threading.py", line 1016, in _bootstrap_inner
File "threading.py", line 953, in run
File "E:\Fooocus_win64_1-1-10\moonride-main\Fooocus\modules\async_worker.py", line 115, in worker
handler(task)
File "E:\Fooocus_win64_1-1-10\moonride-main\Fooocus\modules\async_worker.py", line 73, in handler
imgs = pipeline.process(p_txt, n_txt, steps, switch, width, height, seed, sampler_name, cfg, base_clip_skip, refiner_clip_skip, callback=callback)
File "E:\Fooocus_win64_1-1-10\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "E:\Fooocus_win64_1-1-10\moonride-main\Fooocus\modules\default_pipeline.py", line 127, in process
xl_refiner.clip.clip_layer(refiner_clip_skip)
AttributeError: 'NoneType' object has no attribute 'clip'
The text was updated successfully, but these errors were encountered:
Is it necessary to opt for the SDXL Refiner model? Can it be omitted from selection?
Exception in thread Thread-2 (worker):
Traceback (most recent call last):
File "threading.py", line 1016, in _bootstrap_inner
File "threading.py", line 953, in run
File "E:\Fooocus_win64_1-1-10\moonride-main\Fooocus\modules\async_worker.py", line 115, in worker
handler(task)
File "E:\Fooocus_win64_1-1-10\moonride-main\Fooocus\modules\async_worker.py", line 73, in handler
imgs = pipeline.process(p_txt, n_txt, steps, switch, width, height, seed, sampler_name, cfg, base_clip_skip, refiner_clip_skip, callback=callback)
File "E:\Fooocus_win64_1-1-10\python_embeded\lib\site-packages\torch\utils_contextlib.py", line 115, in decorate_context
return func(*args, **kwargs)
File "E:\Fooocus_win64_1-1-10\moonride-main\Fooocus\modules\default_pipeline.py", line 127, in process
xl_refiner.clip.clip_layer(refiner_clip_skip)
AttributeError: 'NoneType' object has no attribute 'clip'
The text was updated successfully, but these errors were encountered: