mudler/LocalAI · error · ValueError
width and height must each be at least 256
Error message
width and height must each be at least 256
What it means
Raised by validate_dimensions() in longcat-video when either width or height is below 256px. Defaults are 832x480 when falsy, so this fires only when an explicit small value was passed. It is the first of four ordered checks (min size, max size, divisibility, pixel budget).
Source
Thrown at backend/python/longcat-video/longcat_utils.py:192
def avatar_segments_for_frames(frames):
if not frames or frames <= 93:
return 1
return 1 + math.ceil((frames - 93) / 80)
def avatar_segments_for_duration(duration_seconds, fps=25):
if duration_seconds <= 0:
return 1
return avatar_segments_for_frames(math.ceil(duration_seconds * fps))
def validate_dimensions(width, height):
width = width or 832
height = height or 480
if width < 256 or height < 256:
raise ValueError("width and height must each be at least 256")
if width > 1280 or height > 768:
raise ValueError("width and height must not exceed 1280x768")
if width % 16 != 0 or height % 16 != 0:
raise ValueError("width and height must be divisible by 16")
if width * height > 1280 * 768:
raise ValueError("requested video dimensions exceed the 1280x768 pixel limit")
return width, height
View on GitHub (pinned to 44413a9d06)
Solutions
- Set both dimensions to at least 256 (e.g. 256x256 minimum)
- Pass 0/None/empty to fall back to the 832x480 default rather than an explicit tiny value
- Scale up small source assets to >=256 before requesting generation
Example fix
# before validate_dimensions(192, 1080) # ValueError: at least 256 # after validate_dimensions(256, 1080)
Defensive patterns
Strategy: validation
Validate before calling
def clean_dims(w, h):
w = w or 832
h = h or 480
if w < 256 or h < 256:
raise ValueError('each dimension must be >= 256')
return w, h
w, h = clean_dims(request.width, request.height)
validate_dimensions(w, h) Type guard
def dims_ok(w: int, h: int) -> bool:
return (w or 832) >= 256 and (h or 480) >= 256 Try / catch
try:
w, h = validate_dimensions(request.width, request.height)
except ValueError as err:
return error_response(str(err), hint='minimum 256x256; default 832x480') Prevention
- Enforce a 256px floor in the request UI
- Pass empty/0 for defaults instead of tiny explicit values
- Unit-test dimension guards at the boundaries 255/256
When it happens
Trigger: Calling validate_dimensions(width, height) with width < 256 or height < 256, e.g. 128x720 thumbnails or 832x240 for a short video.
Common situations: Generating low-resolution previews/thumbnails, swapping width and height assumptions, or reusing image-generation dimensions (which allow smaller sizes) for the video pipeline.
Related errors
- width and height must not exceed 1280x768
- width and height must be divisible by 16
- requested video dimensions exceed the 1280x768 pixel limit
- resolution must be 480p or 720p
- start_image is not a readable staged file
AI-assisted analysis of mudler/LocalAI@44413a9d06 (2026-08-15).
Data as JSON: /api/errors/0a39f436abd4e4ba.
Report an issue: GitHub.