lllyasviel / lllyasviel/ControlNet
dataset include different sizes
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Description
Can the model only accept that the input images are all the same size? My data set is guaranteed to be a multiple of 64 in width and height (obtained from the canny preprocessing codes in this repository), but an error is reported：
RuntimeError: stack expects each tensor to be equal size, but got [512, 896, 3] at entry 0 and [512, 1152, 3] at entry 1
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- Read the whole issue, then the project's contributing guide.
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Research direction
Start by tracing the dataset loading and batching entry points used for the canny-preprocessed images, then reproduce the reported failure with 512×896 and 512×1152 inputs. Check how batches handle tensors with different spatial sizes and verify the behavior with image dimensions that are multiples of 64.
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Assessment
- Tech stack
- python
- Domain
- computer-vision, machine-learning
- Issue type
- Bug
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 35/100