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fix some dtype issue for gguf / some gpu backends #13464

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Merged
yiyixuxu merged 1 commit into from
Apr 14, 2026
+3 −3
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fix some dtype issue for gguf / some gpu backends #13464

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6 changes: 3 additions & 3 deletions src/diffusers/models/transformers/transformer_ernie_image.py
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Original file line number Diff line number Diff line change
Expand Up @@ -44,7 +44,7 @@ class ErnieImageTransformer2DModelOutput(BaseOutput):

def rope(pos: torch.Tensor, dim: int, theta: int) -> torch.Tensor:
assert dim % 2 == 0
scale = torch.arange(0, dim, 2, dtype=torch.float64, device=pos.device) / dim
scale = torch.arange(0, dim, 2, dtype=torch.float32, device=pos.device) / dim
omega = 1.0 / (theta**scale)
out = torch.einsum("...n,d->...nd", pos, omega)
return out.float()
Expand Down Expand Up @@ -400,8 +400,8 @@ def forward(
]

# AdaLN
sample = self.time_proj(timestep.to(dtype))
sample = sample.to(self.time_embedding.linear_1.weight.dtype)
sample = self.time_proj(timestep)
sample = sample.to(dtype=dtype)
c = self.time_embedding(sample)
shift_msa, scale_msa, gate_msa, shift_mlp, scale_mlp, gate_mlp = [
t.unsqueeze(0).expand(S, -1, -1).contiguous() for t in self.adaLN_modulation(c).chunk(6, dim=-1)
Expand Down
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