Comments (1)
@Tsingularity Thank you for recognizing our work! The hyperparameters in the algorithm are crucial for achieving good results. Regarding the repeat time, in our experiments, a higher number of repetitions usually does not harm the generation quality. Therefore, it is possible to search for a value that balances the computational cost and the quality of the generated results. However, the specific repeat time may vary depending on the dataset and conditions. As for setting the learning rate, it is a key factor in obtaining stable and high-quality generation results. The empirical strategies for its setting are relatively complex, and we are currently working on open-sourcing and sharing this part of the strategy (before the end of July). Please stay tuned for our future updates;)
from freedom.
Related Issues (19)
- What is the minimum VRAM required to run this? HOT 1
- code release HOT 1
- Question on Eq. 4 HOT 4
- A question on Eq.(1) in the paper HOT 1
- wired output HOT 1
- Questions about qualitative Results HOT 2
- Plan on releasing code HOT 1
- Is this only for 1.4 or is there a 1.5 version? HOT 1
- colab demo
- Is there an example how to use facial landmarks or human keypoints? HOT 2
- Could you please tell me why clip is used to calculate gram matrix instead of VGG.
- some question about coefficient "rho" HOT 1
- error in loading ckpt file
- error when running styled image conditioning demo HOT 1
- train code controlnet + face 有计划开源吗?
- Error(s) in loading state_dict for ControlLDM HOT 2
- 运行SD_style下的txt2img文件时报错,这个模型无法加载
- what does eta = 0.5 mean?
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from freedom.