File size: 4,974 Bytes
1146a67 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 | import torch, glob, os
from typing import Optional, Union
from dataclasses import dataclass
from modelscope import snapshot_download
from huggingface_hub import snapshot_download as hf_snapshot_download
from typing import Optional
@dataclass
class ModelConfig:
path: Union[str, list[str]] = None
model_id: str = None
origin_file_pattern: Union[str, list[str]] = None
download_source: str = None
local_model_path: str = None
skip_download: bool = None
offload_device: Optional[Union[str, torch.device]] = None
offload_dtype: Optional[torch.dtype] = None
onload_device: Optional[Union[str, torch.device]] = None
onload_dtype: Optional[torch.dtype] = None
preparing_device: Optional[Union[str, torch.device]] = None
preparing_dtype: Optional[torch.dtype] = None
computation_device: Optional[Union[str, torch.device]] = None
computation_dtype: Optional[torch.dtype] = None
clear_parameters: bool = False
def check_input(self):
if self.path is None and self.model_id is None:
raise ValueError(f"""No valid model files. Please use `ModelConfig(path="xxx")` or `ModelConfig(model_id="xxx/yyy", origin_file_pattern="zzz")`. `skip_download=True` only supports the first one.""")
def parse_original_file_pattern(self):
if self.origin_file_pattern is None or self.origin_file_pattern == "":
return "*"
elif self.origin_file_pattern.endswith("/"):
return self.origin_file_pattern + "*"
else:
return self.origin_file_pattern
def parse_download_source(self):
if self.download_source is None:
if os.environ.get('DIFFSYNTH_DOWNLOAD_SOURCE') is not None:
return os.environ.get('DIFFSYNTH_DOWNLOAD_SOURCE')
else:
return "modelscope"
else:
return self.download_source
def parse_skip_download(self):
if self.skip_download is None:
if os.environ.get('DIFFSYNTH_SKIP_DOWNLOAD') is not None:
if os.environ.get('DIFFSYNTH_SKIP_DOWNLOAD').lower() == "true":
return True
elif os.environ.get('DIFFSYNTH_SKIP_DOWNLOAD').lower() == "false":
return False
else:
return False
else:
return self.skip_download
def download(self):
origin_file_pattern = self.parse_original_file_pattern()
downloaded_files = glob.glob(origin_file_pattern, root_dir=os.path.join(self.local_model_path, self.model_id))
download_source = self.parse_download_source()
if download_source.lower() == "modelscope":
snapshot_download(
self.model_id,
local_dir=os.path.join(self.local_model_path, self.model_id),
allow_file_pattern=origin_file_pattern,
ignore_file_pattern=downloaded_files,
local_files_only=False
)
elif download_source.lower() == "huggingface":
hf_snapshot_download(
self.model_id,
local_dir=os.path.join(self.local_model_path, self.model_id),
allow_patterns=origin_file_pattern,
ignore_patterns=downloaded_files,
local_files_only=False
)
else:
raise ValueError("`download_source` should be `modelscope` or `huggingface`.")
def require_downloading(self):
if self.path is not None:
return False
skip_download = self.parse_skip_download()
return not skip_download
def reset_local_model_path(self):
if os.environ.get('DIFFSYNTH_MODEL_BASE_PATH') is not None:
self.local_model_path = os.environ.get('DIFFSYNTH_MODEL_BASE_PATH')
elif self.local_model_path is None:
self.local_model_path = "./models"
def download_if_necessary(self):
self.check_input()
self.reset_local_model_path()
if self.require_downloading():
self.download()
if self.origin_file_pattern is None or self.origin_file_pattern == "":
self.path = os.path.join(self.local_model_path, self.model_id)
else:
self.path = glob.glob(os.path.join(self.local_model_path, self.model_id, self.origin_file_pattern))
if isinstance(self.path, list) and len(self.path) == 1:
self.path = self.path[0]
def vram_config(self):
return {
"offload_device": self.offload_device,
"offload_dtype": self.offload_dtype,
"onload_device": self.onload_device,
"onload_dtype": self.onload_dtype,
"preparing_device": self.preparing_device,
"preparing_dtype": self.preparing_dtype,
"computation_device": self.computation_device,
"computation_dtype": self.computation_dtype,
}
|