Comments (4)
how large was your dataset?
from controlnet.
Controlnet is not the right arch for this, instead play around with inpainting methods.
from controlnet.
@innat-asj can you elaborate a bit? ty!
from controlnet.
It's only my understanding about the architecture. The control-net doesn't required for the removal operations. Coz, there is nothing to control. Instead, there are few option we could try to remove the object.
- SD Inpainting - check this article.
- Mi-GAN - more.
I tried Mi-GAN out of the box with the given checkpoint and its promising. Hence, if it could be trained for specific task, it would be better. I also tried LaMa and MAT, but I found MI-GAN better in terms of simplicity and performance.
Lastly, reversing the above process won't work for empty room to furnished room. It requires additional stuff. In that case, control-net will be required.
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Related Issues (20)
- Pruning Controlnet 1.1
- self-trained ControlNet is slower than standard
- How to Focus on local part
- Slow convergence on training on toy dataset that you provided HOT 1
- Can someone point me to the mask embedder?
- Issue with controling output shape
- Question : Typically how much images (minimum) will be needed to train a good controlnet ?
- freeze all sd-decoder modules?
- add segment supervision and depth supervision at the same time to control the content together?
- Question about the environment HOT 1
- how to Re-train the openpose ControlNet model ?
- JSON格式不一样
- Why is the control force so strong
- Latent controlnet discussion
- Hollow objects, the canny controlnett generated in the middle is incompatible with other backgrounds
- different setup of input_hint_block compared to paper?
- [Question] Training a camera position controlnet ?
- ControlNet Tab Disapeared after Automatic1111 update to 1.10.1 + controlnet extension update HOT 1
- UNetModel in openaimodel.py
- What data was used to train each controlnet?
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from controlnet.