Skip to content
Merged
Changes from all commits
Commits
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
14 changes: 10 additions & 4 deletions src/diffusers/models/embeddings.py
Original file line number Diff line number Diff line change
Expand Up @@ -319,12 +319,16 @@ def get_2d_rotary_pos_embed_from_grid(embed_dim, grid, use_real=False):
assert embed_dim % 4 == 0

# use half of dimensions to encode grid_h
emb_h = get_1d_rotary_pos_embed(embed_dim // 2, grid[0].reshape(-1), use_real=use_real) # (H*W, D/4)
emb_w = get_1d_rotary_pos_embed(embed_dim // 2, grid[1].reshape(-1), use_real=use_real) # (H*W, D/4)
emb_h = get_1d_rotary_pos_embed(
embed_dim // 2, grid[0].reshape(-1), use_real=use_real
) # (H*W, D/2) if use_real else (H*W, D/4)
emb_w = get_1d_rotary_pos_embed(
embed_dim // 2, grid[1].reshape(-1), use_real=use_real
) # (H*W, D/2) if use_real else (H*W, D/4)

if use_real:
cos = torch.cat([emb_h[0], emb_w[0]], dim=1) # (H*W, D/2)
sin = torch.cat([emb_h[1], emb_w[1]], dim=1) # (H*W, D/2)
cos = torch.cat([emb_h[0], emb_w[0]], dim=1) # (H*W, D)
sin = torch.cat([emb_h[1], emb_w[1]], dim=1) # (H*W, D)
return cos, sin
else:
emb = torch.cat([emb_h, emb_w], dim=1) # (H*W, D/2)
Expand Down Expand Up @@ -371,6 +375,8 @@ def get_1d_rotary_pos_embed(
Returns:
`torch.Tensor`: Precomputed frequency tensor with complex exponentials. [S, D/2]
"""
assert dim % 2 == 0

if isinstance(pos, int):
pos = np.arange(pos)
theta = theta * ntk_factor
Expand Down