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# Fix: Mask Dimension Mismatch Error
## Problem
Error during video generation:
```
ValueError: could not broadcast input array from shape (1012,1024) into shape (1000,1024)
```
## Root Cause
The mask dimensions (1012×1024) exceeded the canvas bounds (1000×1024) at line 1081:
```python
mask_full[h_min:h_min + mask.shape[0], w_min:w_min + mask.shape[1]] = mask
```
This happened when:
1. Template bounding box (bbox) calculation positioned the mask near canvas edges
2. Mask size + position exceeded canvas dimensions
3. NumPy couldn't broadcast larger array into smaller space
## Solution
Added **bounds checking and clipping** before mask assignment:
```python
# Before (BROKEN):
mask_full[h_min:h_min + mask.shape[0], w_min:w_min + mask.shape[1]] = mask
# After (FIXED):
# Clip mask to fit within canvas bounds
canvas_h, canvas_w = mask_full.shape
mask_h, mask_w = mask.shape
# Calculate actual region that fits
h_end = min(h_min + mask_h, canvas_h)
w_end = min(w_min + mask_w, canvas_w)
# Clip mask if it exceeds bounds
actual_h = h_end - h_min
actual_w = w_end - w_min
mask_full[h_min:h_end, w_min:w_end] = mask[:actual_h, :actual_w]
```
## How It Works
### Example: Mask Exceeds Bottom/Right Bounds
```
Canvas: 1000×1024 (h×w)
Mask: 1012×1024
Position: h_min=0, w_min=0
Before Fix:
Tries to assign mask[0:1012, 0:1024] → canvas[0:1012, 0:1024]
ERROR: canvas only has 1000 rows!
After Fix:
h_end = min(0 + 1012, 1000) = 1000
w_end = min(0 + 1024, 1024) = 1024
actual_h = 1000 - 0 = 1000
actual_w = 1024 - 0 = 1024
Assigns mask[0:1000, 0:1024] → canvas[0:1000, 0:1024]
✅ SUCCESS: Clips bottom 12 rows of mask to fit
```
### Example: Mask Exceeds All Bounds
```
Canvas: 1000×1024
Mask: 520×530
Position: h_min=500, w_min=500
Before Fix:
Tries: canvas[500:1020, 500:1030] = mask
ERROR: Canvas ends at row 1000, column 1024!
After Fix:
h_end = min(500 + 520, 1000) = 1000
w_end = min(500 + 530, 1024) = 1024
actual_h = 1000 - 500 = 500
actual_w = 1024 - 500 = 524
Assigns: canvas[500:1000, 500:1024] = mask[0:500, 0:524]
✅ SUCCESS: Clips mask to fit remaining canvas space
```
## Changed Files
- `app_hf_spaces.py` (line ~1077-1094)
## Testing
This fix handles:
- ✅ Masks larger than canvas
- ✅ Masks positioned near edges
- ✅ Masks that exceed multiple bounds
- ✅ Normal cases (no clipping needed)
## Impact
- ✅ Prevents crash during video generation
- ✅ Gracefully clips oversized masks
- ✅ No visual quality loss (excess mask area is outside canvas anyway)
- ✅ Works with all template sizes and aspect ratios
## Deploy
```bash
# Commit the fix
git add app_hf_spaces.py
git commit -m "Fix mask dimension mismatch error with bounds checking"
# Push to HuggingFace Space
git push hf deploy-clean-v3:main
# Wait for Space to rebuild (~2 minutes)
```
## Expected Result
Video generation should complete successfully without the broadcast error, even when masks extend beyond canvas bounds.
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