mirror of
https://github.com/lllyasviel/stable-diffusion-webui-forge.git
synced 2026-07-21 21:01:24 +08:00
96 lines
2.1 KiB
Python
96 lines
2.1 KiB
Python
import os
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import sys
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INITIALIZED = False
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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 fix_logging():
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import logging
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_original = logging.basicConfig
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logging.basicConfig = lambda *args, **kwargs: None
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try:
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import nunchaku
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except ImportError:
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pass
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logging.basicConfig = _original
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def initialize_forge():
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global INITIALIZED
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if INITIALIZED:
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return
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INITIALIZED = True
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sys.path.insert(0, os.path.join(os.path.dirname(os.path.dirname(__file__)), "modules_forge", "packages"))
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from backend.args import args
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if args.gpu_device_id is not None:
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os.environ["CUDA_VISIBLE_DEVICES"] = str(args.gpu_device_id)
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print("Set device to:", args.gpu_device_id)
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if args.cuda_malloc:
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from modules_forge.cuda_malloc import try_cuda_malloc
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try_cuda_malloc()
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from backend import memory_management
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import torch
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monitor_module_moving()
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device = memory_management.get_torch_device()
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torch.zeros((1, 1)).to(device, torch.float32)
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memory_management.soft_empty_cache()
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from backend import stream
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print("CUDA Using Stream:", stream.should_use_stream())
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from modules_forge.shared import diffusers_dir
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if "HF_HOME" not in os.environ:
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os.environ["HF_HOME"] = diffusers_dir
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if "HF_DATASETS_CACHE" not in os.environ:
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os.environ["HF_DATASETS_CACHE"] = diffusers_dir
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if "HUGGINGFACE_HUB_CACHE" not in os.environ:
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os.environ["HUGGINGFACE_HUB_CACHE"] = diffusers_dir
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if "HUGGINGFACE_ASSETS_CACHE" not in os.environ:
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os.environ["HUGGINGFACE_ASSETS_CACHE"] = diffusers_dir
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if "HF_HUB_CACHE" not in os.environ:
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os.environ["HF_HUB_CACHE"] = diffusers_dir
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import modules_forge.patch_basic
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modules_forge.patch_basic.patch_all_basics()
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fix_logging()
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