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More friendly error messages for corrupted safetensors files.

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comfyanonymous 2025-01-28 09:41:09 -05:00
parent 1210d094c7
commit 13fd4d6e45
1 changed files with 10 additions and 1 deletions
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11
comfy/utils.py
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@ -50,7 +50,16 @@ def load_torch_file(ckpt, safe_load=False, device=None):
if device is None: if device is None:
device = torch.device("cpu") device = torch.device("cpu")
if ckpt.lower().endswith(".safetensors") or ckpt.lower().endswith(".sft"): if ckpt.lower().endswith(".safetensors") or ckpt.lower().endswith(".sft"):
sd = safetensors.torch.load_file(ckpt, device=device.type) try:
sd = safetensors.torch.load_file(ckpt, device=device.type)
except Exception as e:
if len(e.args) > 0:
message = e.args[0]
if "HeaderTooLarge" in message:
raise ValueError("{}\n\nFile path: {}\n\nThe safetensors file is corrupt or invalid. Make sure this is actually a safetensors file and not a ckpt or pt or other filetype.".format(message, ckpt))
if "MetadataIncompleteBuffer" in message:
raise ValueError("{}\n\nFile path: {}\n\nThe safetensors file is incomplete. Check the file size and make sure you have copied/downloaded it correctly.".format(message, ckpt))
raise e
else: else:
if safe_load or ALWAYS_SAFE_LOAD: if safe_load or ALWAYS_SAFE_LOAD:
pl_sd = torch.load(ckpt, map_location=device, weights_only=True) pl_sd = torch.load(ckpt, map_location=device, weights_only=True)