lllyasviel / lllyasviel/ControlNet
Weird training results
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Description
Hi, thank you for your great work.
I hava a question for the ControlNet training
I am just trying to train ControlNet with canny edge condition using OpenImage Dataset to reproduce or mimic your traning scheme. I preserve all training setting with the tutorial you gave us. However, the results is so weird like below and that was not recovered even after many training iterations.
Did you have a experience like me during training? or is there any opinion to this phenomenon?
I just want to get some opinion or intuition about this from you.
Thank you.
The prompt is fixed by "a high-quality, detailed, and professional image"
**Input**
**Ourput**
**Recon**
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Research direction
The issue mentions ControlNet training with canny-edge conditioning on the OpenImage Dataset, but provides no files, commands, tests, or specific configuration to inspect. Start by comparing the tutorial settings with the reported training setup and the Input, Output, and Recon images; done requires identifying a concrete cause or reproducible defect and documenting the findings.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100