Comfy-Org/ComfyUI · error · ValueError
Aleph2 supports at most 5 keyframes.
Error message
Aleph2 supports at most 5 keyframes.
What it means
Raised by the Aleph2 node when the keyframes collection contains more than 5 items. The Runway Aleph2 API caps keyframe guidance at 5 images per request, and the node enforces this before uploading any of the keyframe images.
Source
Thrown at comfy_api_nodes/nodes_runway.py:796
if (keyframes and keyframes.items) and (prompt_images and prompt_images.items):
raise ValueError("Aleph2 accepts either keyframes or prompt images, not both.")
video_duration: float | None = None
try:
video_duration = video.get_duration()
except Exception:
video_duration = None
def _check_seconds(value: float, label: str) -> None:
if video_duration is not None and value > video_duration + 0.0001:
raise ValueError(f"{label} {value:.2f}s exceeds the input video duration ({video_duration:.2f}s).")
video_url = await upload_video_to_comfyapi(cls, video)
keyframe_models: list[RunwayAleph2KeyframeSeconds | RunwayAleph2KeyframeAt] = []
if keyframes is not None:
if len(keyframes.items) > 5:
raise ValueError("Aleph2 supports at most 5 keyframes.")
for item in keyframes.items:
image_url = await upload_image_to_comfyapi(cls, item.image, mime_type="image/png")
if item.mode == KEYFRAME_MODE_SECONDS:
_check_seconds(item.value, "Keyframe timestamp")
keyframe_models.append(RunwayAleph2KeyframeSeconds(seconds=item.value, uri=image_url))
else:
keyframe_models.append(RunwayAleph2KeyframeAt(at=item.value, uri=image_url))
prompt_image_models: list[RunwayAleph2PromptImage] = []
if prompt_images is not None:
if len(prompt_images.items) > 5:
raise ValueError("Aleph2 supports at most 5 prompt images.")
for item in prompt_images.items:
image_url = await upload_image_to_comfyapi(cls, item.image, mime_type="image/png")
position: RunwayAleph2TimestampPosition | RunwayAleph2RelativePosition
if item.mode == PROMPT_IMAGE_MODE_TIMESTAMP:
_check_seconds(item.value, "Prompt image timestamp")
position = RunwayAleph2TimestampPosition(timestampSeconds=item.value)View on GitHub (pinned to 1c6d8d45b3)
Solutions
- Trim the keyframe list to at most 5 items, keeping the most temporally significant frames
- If more coverage is needed, split into two Aleph2 runs over sub-clips
Example fix
// before aleph2(prompt, video, keyframes=all_9_keyframes) // after aleph2(prompt, video, keyframes=all_9_keyframes[:5])
Defensive patterns
Strategy: validation
Validate before calling
assert keyframes is None or len(keyframes.items) <= 5, "Aleph2: at most 5 keyframes"
Type guard
def keyframe_count_ok(keyframes) -> bool:
return keyframes is None or len(keyframes.items) <= 5 Try / catch
try:
await aleph2_execute(...)
except ValueError as e:
if "at most 5 keyframes" in str(e):
keyframes.items = keyframes.items[:5]
await aleph2_execute(...)
else:
raise Prevention
- Cap keyframe aggregations at 5 upstream of the node
- Choose the 5 most distinct poses/scenes rather than consecutive frames
When it happens
Trigger: Connecting a keyframes aggregation with 6+ items (each item = one image + timestamp) to the Aleph2 node's keyframes input.
Common situations: Dense keyframing workflows that mark every scene change; aggregating multiple RunwayAleph2KeyframeNode outputs into one list.
Related errors
- Aleph2 supports at most 5 prompt images.
- Input video frame rate ({fps:.2f} fps) exceeds Aleph2's maxi
- Aleph2 accepts either keyframes or prompt images, not both.
- {label} {value:.2f}s exceeds the input video duration ({vide
- Unrecognized interpolation method '{method}'.
AI-assisted analysis of Comfy-Org/ComfyUI@1c6d8d45b3 (2026-08-14).
Data as JSON: /api/errors/a832647e8aa4c084.
Report an issue: GitHub.