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Merge 11a182ef10 into 22ad513c72

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Dave Lage 2025-04-11 09:49:49 -04:00 committed by GitHub
commit f8c292e219
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1 changed files with 5 additions and 4 deletions
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comfy_extras/nodes_lumina2.py
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@ -33,12 +33,13 @@ class RenormCFG:
ori_pos_norm = torch.linalg.vector_norm(cond_eps ori_pos_norm = torch.linalg.vector_norm(cond_eps
, dim=tuple(range(1, len(cond_eps.shape))), keepdim=True , dim=tuple(range(1, len(cond_eps.shape))), keepdim=True
) )
max_new_norm = ori_pos_norm * float(renorm_cfg) max_new_norms = ori_pos_norm * float(renorm_cfg)
new_pos_norm = torch.linalg.vector_norm( new_pos_norms = torch.linalg.vector_norm(
half_eps, dim=tuple(range(1, len(half_eps.shape))), keepdim=True half_eps, dim=tuple(range(1, len(half_eps.shape))), keepdim=True
) )
if new_pos_norm >= max_new_norm: for i, (max_new_norm, new_pos_norm) in enumerate(zip(max_new_norms, new_pos_norms)):
half_eps = half_eps * (max_new_norm / new_pos_norm) if new_pos_norm >= max_new_norm:
half_eps[i] = half_eps[i] * (max_new_norm / new_pos_norm)
else: else:
cond_eps, uncond_eps = cond_denoised[:, :in_channels], uncond_denoised[:, :in_channels] cond_eps, uncond_eps = cond_denoised[:, :in_channels], uncond_denoised[:, :in_channels]
cond_rest, _ = cond_denoised[:, in_channels:], uncond_denoised[:, in_channels:] cond_rest, _ = cond_denoised[:, in_channels:], uncond_denoised[:, in_channels:]