Ethanfel/ComfyUI-SelVA
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fix: weights_only=False for SelVA checkpoints (PyTorch 2.6 compat)

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PyTorch 2.6 changed the default to weights_only=True. SelVA checkpoints
contain non-tensor types (numpy scalars etc.) that fail strict unpickling.
All weights come from trusted sources (jnwnlee/selva HF repo).

Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com>
This commit is contained in:
Ethanfel
2026-04-04 16:38:31 +02:00
parent 40388ba6de
commit 614a2e02aa
4 changed files with 5 additions and 5 deletions
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selva_core/ext/bigvgan/bigvgan.py
+1 -1
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@@ -15,7 +15,7 @@ class BigVGAN(nn.Module):
super().__init__()
vocoder_cfg = OmegaConf.load(config_path)
self.vocoder = BigVGANVocoder(vocoder_cfg).eval()
vocoder_ckpt = torch.load(ckpt_path, map_location='cpu', weights_only=True)['generator']
vocoder_ckpt = torch.load(ckpt_path, map_location='cpu', weights_only=False)['generator']
self.vocoder.load_state_dict(vocoder_ckpt)
self.weight_norm_removed = False