lllyasviel / lllyasviel/ControlNet
I would like to ask why I can achieve the desired effect on the sample during training, but when the trained model is tested on the training data set, it produces bad results.
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- Dominant language
- Python
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The issue contains no files, tests, configuration, or reproducible example. Start by comparing the sample-training and trained-model evaluation workflows, then gather the model, dataset, settings, and outputs needed to define the expected result and reproduce the failure.
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Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 10/100