53 lines
1.3 KiB
Python
53 lines
1.3 KiB
Python
import sys
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MONITOR_MODEL_MOVING = False
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def monitor_module_moving():
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if not MONITOR_MODEL_MOVING:
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return
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import torch
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import traceback
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old_to = torch.nn.Module.to
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def new_to(*args, **kwargs):
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traceback.print_stack()
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print('Model Movement')
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return old_to(*args, **kwargs)
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torch.nn.Module.to = new_to
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return
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def initialize_forge():
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bad_list = ['--lowvram', '--medvram', '--medvram-sdxl']
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for bad in bad_list:
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if bad in sys.argv:
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print(f'Arg {bad} is removed in Forge.')
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print(f'Now memory management is fully automatic and you do not need any command flags.')
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print(f'Please just remove this flag.')
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print(f'In extreme cases, if you want to force previous lowvram/medvram behaviors, '
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f'please use --always-offload-from-vram')
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from ldm_patched.modules import args_parser
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args_parser.args, _ = args_parser.parser.parse_known_args()
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import ldm_patched.modules.model_management as model_management
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import torch
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monitor_module_moving()
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device = model_management.get_torch_device()
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torch.zeros((1, 1)).to(device, torch.float32)
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model_management.soft_empty_cache()
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import modules_forge.patch_basic
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modules_forge.patch_basic.patch_all_basics()
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return
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