lllyasviel / lllyasviel/ControlNet
Issues with Training Data
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- Dominant language
- Python
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Description
Is it feasible to use a dataset that consists of images with sizes like 512x832, 512x576, 1536x512, etc. for training?
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start by tracing ControlNet's training-data handling and how it processes image dimensions. Evaluate the reported 512x832, 512x576, and 1536x512 cases against the training pipeline, and document whether these dimensions are supported or what constraints apply.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Feature
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100