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15 changes: 13 additions & 2 deletions src/diffusers/models/unet_2d_condition.py
Original file line number Diff line number Diff line change
Expand Up @@ -248,7 +248,7 @@ def __init__(
if class_embed_type is None and num_class_embeds is not None:
self.class_embedding = nn.Embedding(num_class_embeds, time_embed_dim)
elif class_embed_type == "timestep":
self.class_embedding = TimestepEmbedding(timestep_input_dim, time_embed_dim)
self.class_embedding = TimestepEmbedding(timestep_input_dim, time_embed_dim, act_fn=act_fn)
elif class_embed_type == "identity":
self.class_embedding = nn.Identity(time_embed_dim, time_embed_dim)
elif class_embed_type == "projection":
Expand Down Expand Up @@ -437,7 +437,18 @@ def __init__(
self.conv_norm_out = nn.GroupNorm(
num_channels=block_out_channels[0], num_groups=norm_num_groups, eps=norm_eps
)
self.conv_act = nn.SiLU()

if act_fn == "swish":
self.conv_act = lambda x: F.silu(x)
elif act_fn == "mish":
self.conv_act = nn.Mish()
elif act_fn == "silu":
self.conv_act = nn.SiLU()
elif act_fn == "gelu":
self.conv_act = nn.GELU()
else:
raise ValueError(f"Unsupported activation function: {act_fn}")

else:
self.conv_norm_out = None
self.conv_act = None
Expand Down
15 changes: 13 additions & 2 deletions src/diffusers/pipelines/versatile_diffusion/modeling_text_unet.py
Original file line number Diff line number Diff line change
Expand Up @@ -345,7 +345,7 @@ def __init__(
if class_embed_type is None and num_class_embeds is not None:
self.class_embedding = nn.Embedding(num_class_embeds, time_embed_dim)
elif class_embed_type == "timestep":
self.class_embedding = TimestepEmbedding(timestep_input_dim, time_embed_dim)
self.class_embedding = TimestepEmbedding(timestep_input_dim, time_embed_dim, act_fn=act_fn)
elif class_embed_type == "identity":
self.class_embedding = nn.Identity(time_embed_dim, time_embed_dim)
elif class_embed_type == "projection":
Expand Down Expand Up @@ -534,7 +534,18 @@ def __init__(
self.conv_norm_out = nn.GroupNorm(
num_channels=block_out_channels[0], num_groups=norm_num_groups, eps=norm_eps
)
self.conv_act = nn.SiLU()

if act_fn == "swish":
self.conv_act = lambda x: F.silu(x)
elif act_fn == "mish":
self.conv_act = nn.Mish()
elif act_fn == "silu":
self.conv_act = nn.SiLU()
elif act_fn == "gelu":
self.conv_act = nn.GELU()
else:
raise ValueError(f"Unsupported activation function: {act_fn}")

else:
self.conv_norm_out = None
self.conv_act = None
Expand Down