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Fix Image Overlay crash on batch image inputs (#365)

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* Initial plan

* Fix Image Overlay node batch processing by extracting first image

Co-authored-by: jags111 <5968619+jags111@users.noreply.github.com>

* Add .gitignore and remove pycache files

Co-authored-by: jags111 <5968619+jags111@users.noreply.github.com>

* Add warning when multiple overlay images are detected

Co-authored-by: jags111 <5968619+jags111@users.noreply.github.com>

---------

Co-authored-by: copilot-swe-agent[bot] <198982749+Copilot@users.noreply.github.com>
Co-authored-by: jags111 <5968619+jags111@users.noreply.github.com>
This commit is contained in:
Copilot
2026-03-31 19:46:59 -04:00
committed by GitHub
parent 835bbe1462
commit 4579b7d607
2 changed files with 43 additions and 0 deletions
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6
efficiency_nodes.py
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@@ -3957,6 +3957,12 @@ class TSC_ImageOverlay:
samples = overlay_image.movedim(-1, 1)
overlay_image = comfy.utils.common_upscale(samples, overlay_image_size[0], overlay_image_size[1], resize_method, False)
overlay_image = overlay_image.movedim(1, -1)
# Handle batch dimension - use first image if overlay_image is a batch
if len(overlay_image.shape) == 4:
if overlay_image.shape[0] > 1:
print(f"{warning('Image Overlay Warning:')} Multiple overlay images detected ({overlay_image.shape[0]}), using only the first image.")
overlay_image = overlay_image[0]
overlay_image = tensor2pil(overlay_image)