7114b023bd
- Introduced argparse for parameter handling, streamlined model loading, and enhanced denoising functions. - Updated VAE weight sanitization for compatibility and improved activation function handling in text projection. - Added support for saving individual frames and refined output video generation process.
27 lines
709 B
Python
27 lines
709 B
Python
import mlx.core as mx
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import mlx.nn as nn
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class PixArtAlphaTextProjection(nn.Module):
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def __init__(
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self,
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in_features: int,
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hidden_size: int,
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out_features: int | None = None,
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bias: bool = True,
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):
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super().__init__()
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out_features = out_features or hidden_size
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self.linear1 = nn.Linear(in_features, hidden_size, bias=bias)
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self.act = nn.GELU(approx="tanh") # Must match PyTorch's approximate="tanh"
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self.linear2 = nn.Linear(hidden_size, out_features, bias=bias)
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def __call__(self, x: mx.array) -> mx.array:
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x = self.linear1(x)
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x = self.act(x)
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x = self.linear2(x)
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return x
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