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Use separate reference image inputs instead

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Since sizes don't have to match
This commit is contained in:
kijai 2026-06-02 19:10:42 +03:00
parent d9a28a9b3c
commit 471a20ac8d
1 changed files with 22 additions and 8 deletions
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30
comfy_extras/nodes_bernini.py
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@ -8,7 +8,8 @@ from comfy_api.latest import ComfyExtension, io
def _resize_long_edge(image, max_size, stride=16): def _resize_long_edge(image, max_size, stride=16):
"""Resize (preserve aspect) so the long edge <= max_size, snapped to `stride`.""" """Resize (preserve aspect) so the long edge <= max_size, then snap each side to `stride`
(snapping can nudge a side up/down by < stride, so it never scales up by more than that)."""
h, w = image.shape[1], image.shape[2] h, w = image.shape[1], image.shape[2]
scale = min(max_size / max(h, w), 1.0) scale = min(max_size / max(h, w), 1.0)
nh = max(stride, round(h * scale / stride) * stride) nh = max(stride, round(h * scale / stride) * stride)
@ -58,10 +59,17 @@ class BerniniConditioning(io.ComfyNode):
io.Image.Input("reference_video", optional=True, tooltip=( io.Image.Input("reference_video", optional=True, tooltip=(
"Moving content to composite into the source video (video insertion / ads2v)," "Moving content to composite into the source video (video insertion / ads2v),"
"e.g. a clip to play on a screen. Kept at native aspect (long edge capped at ref_max_size), trimmed to length.")), "e.g. a clip to play on a screen. Kept at native aspect (long edge capped at ref_max_size), trimmed to length.")),
io.Image.Input("reference_images", optional=True, tooltip=( io.Autogrow.Input("reference_images", optional=True,
"Reference image(s) injected as in-context tokens (task r2v or rv2v). Each is kept at its native aspect ratio, long edge capped at ref_max_size.")), template=io.Autogrow.TemplatePrefix(
input=io.Image.Input("reference_image", tooltip=(
"A reference image injected as an in-context token (task r2v or rv2v).")),
prefix="reference_image_", min=0, max=8),
tooltip=(
"Reference image(s) injected as in-context tokens (task r2v or rv2v). Each slot is "
"encoded independently at its own native aspect ratio (long edge capped at "
"ref_max_size), so connect mixed-size references to separate slots.")),
io.Int.Input("ref_max_size", default=848, min=16, max=8192, step=16, optional=True, tooltip=( io.Int.Input("ref_max_size", default=848, min=16, max=8192, step=16, optional=True, tooltip=(
"Max size for the long edge of reference_video and reference_images. Resized with preserved aspect ratio, snapped to 16px, and no upscaling.")), "Max size for the long edge of reference_video and reference_images. Resized with preserved aspect ratio and snapped to 16px (snapping may nudge a side by <16px).")),
], ],
outputs=[ outputs=[
io.Conditioning.Output(display_name="positive"), io.Conditioning.Output(display_name="positive"),
@ -87,10 +95,16 @@ class BerniniConditioning(io.ComfyNode):
ref_vid = _resize_long_edge(reference_video[:length], ref_max_size) # moving content, native aspect ref_vid = _resize_long_edge(reference_video[:length], ref_max_size) # moving content, native aspect
context.append(vae.encode(ref_vid[:, :, :, :3])) context.append(vae.encode(ref_vid[:, :, :, :3]))
if reference_images is not None: # reference_images is an autogrow dict {reference_image_0: IMAGE, ...}; each slot is a
for i in range(reference_images.shape[0]): # separate stream at its own native aspect (a multi-image batch in one slot -> one stream per frame).
img = _resize_long_edge(reference_images[i:i + 1], ref_max_size) # native aspect per ref if reference_images:
context.append(vae.encode(img[:, :, :, :3])) for name in sorted(reference_images):
imgs = reference_images[name]
if imgs is None:
continue
for i in range(imgs.shape[0]):
img = _resize_long_edge(imgs[i:i + 1], ref_max_size) # native aspect per ref
context.append(vae.encode(img[:, :, :, :3]))
if context: if context:
positive = node_helpers.conditioning_set_values(positive, {"context_latents": context}) positive = node_helpers.conditioning_set_values(positive, {"context_latents": context})