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IC-LoRA: support small grid (#12074)

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This commit is contained in:
Tavi Halperin
2026-01-26 22:33:19 +02:00
committed by GitHub
parent 2129e7d278
commit bfe31d0b9d
1 changed files with 17 additions and 4 deletions
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21
comfy_extras/nodes_lt.py
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@@ -223,11 +223,24 @@ class LTXVAddGuide(io.ComfyNode):
return frame_idx, latent_idx
@classmethod
def add_keyframe_index(cls, cond, frame_idx, guiding_latent, scale_factors):
def add_keyframe_index(cls, cond, frame_idx, guiding_latent, scale_factors, latent_downscale_factor=1):
keyframe_idxs, _ = get_keyframe_idxs(cond)
_, latent_coords = cls.PATCHIFIER.patchify(guiding_latent)
pixel_coords = latent_to_pixel_coords(latent_coords, scale_factors, causal_fix=frame_idx == 0) # we need the causal fix only if we're placing the new latents at index 0
pixel_coords[:, 0] += frame_idx
# The following adjusts keyframe end positions for small grid IC-LoRA.
# After dilation, the small grid has the same size and position as the large grid,
# but each token encodes a larger image patch. We adjust the end position (not start)
# so that RoPE represents the correct middle point of each token.
# keyframe_idxs dims: (batch, spatial_dim [t,h,w], token_id, [start, end])
# We only adjust h,w (not t) in dim 1, and only end (not start) in dim 3.
spatial_end_offset = (latent_downscale_factor - 1) * torch.tensor(
scale_factors[1:],
device=pixel_coords.device,
).view(1, -1, 1, 1)
pixel_coords[:, 1:, :, 1:] += spatial_end_offset.to(pixel_coords.dtype)
if keyframe_idxs is None:
keyframe_idxs = pixel_coords
else:
@@ -235,12 +248,12 @@ class LTXVAddGuide(io.ComfyNode):
return node_helpers.conditioning_set_values(cond, {"keyframe_idxs": keyframe_idxs})
@classmethod
def append_keyframe(cls, positive, negative, frame_idx, latent_image, noise_mask, guiding_latent, strength, scale_factors, guide_mask=None, in_channels=128):
def append_keyframe(cls, positive, negative, frame_idx, latent_image, noise_mask, guiding_latent, strength, scale_factors, guide_mask=None, in_channels=128, latent_downscale_factor=1):
if latent_image.shape[1] != in_channels or guiding_latent.shape[1] != in_channels:
raise ValueError("Adding guide to a combined AV latent is not supported.")
positive = cls.add_keyframe_index(positive, frame_idx, guiding_latent, scale_factors)
negative = cls.add_keyframe_index(negative, frame_idx, guiding_latent, scale_factors)
positive = cls.add_keyframe_index(positive, frame_idx, guiding_latent, scale_factors, latent_downscale_factor)
negative = cls.add_keyframe_index(negative, frame_idx, guiding_latent, scale_factors, latent_downscale_factor)
if guide_mask is not None:
target_h = max(noise_mask.shape[3], guide_mask.shape[3])