Skip layer guidance now works on stable audio model.
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@ -612,7 +612,9 @@ class ContinuousTransformer(nn.Module):
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return_info = False,
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**kwargs
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):
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patches_replace = kwargs.get("transformer_options", {}).get("patches_replace", {})
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batch, seq, device = *x.shape[:2], x.device
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context = kwargs["context"]
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info = {
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"hidden_states": [],
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@ -643,9 +645,19 @@ class ContinuousTransformer(nn.Module):
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if self.use_sinusoidal_emb or self.use_abs_pos_emb:
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x = x + self.pos_emb(x)
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blocks_replace = patches_replace.get("dit", {})
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# Iterate over the transformer layers
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for layer in self.layers:
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x = layer(x, rotary_pos_emb = rotary_pos_emb, global_cond=global_cond, **kwargs)
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for i, layer in enumerate(self.layers):
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if ("double_block", i) in blocks_replace:
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def block_wrap(args):
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out = {}
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out["img"] = layer(args["img"], rotary_pos_emb=args["pe"], global_cond=args["vec"], context=args["txt"])
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return out
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out = blocks_replace[("double_block", i)]({"img": x, "txt": context, "vec": global_cond, "pe": rotary_pos_emb}, {"original_block": block_wrap})
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x = out["img"]
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else:
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x = layer(x, rotary_pos_emb = rotary_pos_emb, global_cond=global_cond, context=context)
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# x = checkpoint(layer, x, rotary_pos_emb = rotary_pos_emb, global_cond=global_cond, **kwargs)
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if return_info:
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@ -874,7 +886,6 @@ class AudioDiffusionTransformer(nn.Module):
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mask=None,
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return_info=False,
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control=None,
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transformer_options={},
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**kwargs):
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return self._forward(
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x,
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