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update

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Dhruv Nair
2025-06-10 16:15:20 +02:00
parent f6ece89c6d
commit 6ccaed77ed
1 changed files with 4 additions and 4 deletions
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src/diffusers/models/transformers/transformer_chroma.py
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@@ -428,10 +428,7 @@ class ChromaTransformer2DModel(
attention_head_dim: int = 128,
num_attention_heads: int = 24,
joint_attention_dim: int = 4096,
pooled_projection_dim: int = 768,
guidance_embeds: bool = False,
axes_dims_rope: Tuple[int, ...] = (16, 56, 56),
variant: str = "flux",
approximator_in_factor: int = 16,
approximator_hidden_dim: int = 5120,
approximator_layers: int = 5,
@@ -446,7 +443,10 @@ class ChromaTransformer2DModel(
num_channels=approximator_in_factor, out_dim=3 * num_single_layers + 2 * 6 * num_layers + 2
)
self.distilled_guidance_layer = ChromaApproximator(
in_dim=64, out_dim=3072, hidden_dim=approximator_hidden_dim, n_layers=approximator_layers
in_dim=in_channels,
out_dim=self.inner_dim,
hidden_dim=approximator_hidden_dim,
n_layers=approximator_layers,
)
self.context_embedder = nn.Linear(joint_attention_dim, self.inner_dim)
self.x_embedder = nn.Linear(in_channels, self.inner_dim)