Comments (3)
Our used training set DESOBAv2 does not contain such images with white backgrounds. To adapt to your problem, you are recommended to construct your own dataset and train ControlNet.
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Thanks for your apprecitation! Yes, I mean that.You can try this simple method first and observe the results.
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Our used training set DESOBAv2 does not contain such images with white backgrounds. To adapt to your problem, you are recommended to construct your own dataset and train ControlNet.
Thank you so much! I still use libcom for image composition and love it! Back to the original question - do you mean build my own dataset and train directly ControlNet? Is it enough? Do you have any other recommendations? Do I need to consider something else?
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Related Issues (20)
- How could i do image harmonization like demo_image_composition? HOT 1
- 处理后的图像,细节部分处理不行,如何改善? HOT 1
- Failed to produce desired output HOT 1
- Pretrained model AutoDownload error HOT 3
- Getting out of memory HOT 1
- pip install problem HOT 3
- 'Segmentation fault (core dumped)' in image_harmonization HOT 5
- training HOT 1
- pip install libcom error HOT 1
- CudaCheckError when applying CDTNet for image harmonization HOT 1
- 您好,controllable_composition生成的图像分辨率是512*512,看起来比较模糊,请问有办法生成分辨率更大或更清晰的图片吗? HOT 1
- Pip Installation Error: opencv_python==4.1.2.30: No Matching Distribution Found HOT 1
- 阴影生成模型SGDiffusion HOT 3
- pip install libcom fails HOT 1
- Resolution is too low HOT 1
- Import error for trilinear package HOT 1
- Unexpected harmonization results HOT 1
- opa_score报错 HOT 1
- high CPU consumption when using PCTNet HOT 1
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