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16e2001 | 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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 | import torch, glob, os, sys
from typing import Optional, Union, Dict
from dataclasses import dataclass
from modelscope import snapshot_download
from huggingface_hub import snapshot_download as hf_snapshot_download
from typing import Optional
from ..quant import QuantizeConfig, MixedQuantizeConfig
_download_tips_printed = False
if sys.platform.startswith('win'):
DOWNLOADING_TIPS = """
┌──────────────────────────────────────────────────────────────────────┐
│ DiffSynth-Studio Model Downloader Configuration: │
│ │
│ [0] Download from https://modelscope.cn/ │
│ (default behavior) │
│ [1] Download from https://modelscope.ai/ │
│ (enabled via `$env:MODELSCOPE_ENDPOINT="https://modelscope.ai"`) │
│ [2] Download from https://huggingface.co/ │
│ (enabled via `$env:DIFFSYNTH_DOWNLOAD_SOURCE="HuggingFace"`) │
│ [3] Skip download and load only pre-downloaded model files │
│ (enabled via `$env:DIFFSYNTH_SKIP_DOWNLOAD="True"`) │
└──────────────────────────────────────────────────────────────────────┘
""".strip()
else:
DOWNLOADING_TIPS = """
┌──────────────────────────────────────────────────────────────────────┐
│ DiffSynth-Studio Model Downloader Configuration: │
│ │
│ [0] Download from https://modelscope.cn/ │
│ (default behavior) │
│ [1] Download from https://modelscope.ai/ │
│ (enabled via `export MODELSCOPE_ENDPOINT=https://modelscope.ai`) │
│ [2] Download from https://huggingface.co/ │
│ (enabled via `export DIFFSYNTH_DOWNLOAD_SOURCE=HuggingFace`) │
│ [3] Skip download and load only pre-downloaded model files │
│ (enabled via `export DIFFSYNTH_SKIP_DOWNLOAD=True`) │
└──────────────────────────────────────────────────────────────────────┘
""".strip()
@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
state_dict: Dict[str, torch.Tensor] = None
quantize: Optional[Union[QuantizeConfig, MixedQuantizeConfig]] = None
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 in [None, "", "./"]:
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 check_download_source(self):
download_source = self.parse_download_source().lower()
if os.environ.get('DIFFSYNTH_SKIP_DOWNLOAD', "").lower() == "true":
behavior = 3
elif download_source == "modelscope":
if "modelscope.ai" in os.environ.get("MODELSCOPE_ENDPOINT", "") or "modelscope.ai" in os.environ.get("MODELSCOPE_DOMAIN", ""):
behavior = 1
else:
behavior = 0
else:
behavior = 2
tips = DOWNLOADING_TIPS
for i in range(4): tips = tips.replace(f"[{i}]", ["[ ]", "[√]"][i==behavior])
global _download_tips_printed
if not _download_tips_printed:
is_main_process = True
if torch.distributed.is_initialized():
is_main_process = torch.distributed.get_rank() == 0
if is_main_process:
print(tips)
_download_tips_printed = True
def download_if_necessary(self):
self.check_download_source()
self.check_input()
self.reset_local_model_path()
if self.require_downloading():
self.download()
if self.path is None:
if self.origin_file_pattern in [None, "", "./"]:
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,
}
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