Skip to content

Add global pooling to controlnet #3121

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
merged 1 commit into from
Apr 16, 2023
Merged

Add global pooling to controlnet #3121

Changes from all commits
Commits
Show all changes
1 commit
Select commit
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
7 changes: 7 additions & 0 deletions src/diffusers/models/controlnet.py
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -119,6 +119,7 @@ def __init__(
projection_class_embeddings_input_dim: Optional[int] = None,
controlnet_conditioning_channel_order: str = "rgb",
conditioning_embedding_out_channels: Optional[Tuple[int]] = (16, 32, 96, 256),
global_pool_conditions: bool = False,
):
super().__init__()

Expand Down Expand Up @@ -566,6 +567,12 @@ def forward(
down_block_res_samples = [sample * conditioning_scale for sample in down_block_res_samples]
mid_block_res_sample *= conditioning_scale

if self.config.global_pool_conditions:
down_block_res_samples = [
torch.mean(sample, dim=(2, 3), keepdim=True) for sample in down_block_res_samples
]
mid_block_res_sample = torch.mean(mid_block_res_sample, dim=(2, 3), keepdim=True)

if not return_dict:
return (down_block_res_samples, mid_block_res_sample)

Expand Down