Comments (2)
pHaeusler
commented on June 24, 2024
2
@rainsoulsrx - I implemented batched processing here https://github.com/pHaeusler/codef-experiments
It's not a complete implementation though (no masking)
https://philliphaeusler.com/posts/codef/
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ken-ouyang
commented on June 24, 2024
It is possible to increase the batch size during training. However, please note that we have not specifically tested this in our current setup. Larger batch sizes could potentially impact the learning dynamics and convergence of the model. The hyperparameter should be adjusted too.
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Related Issues (20)
- 错误似乎是在尝试使用skvideo库的ffmpeg模块写入视频帧时发生的。具体来说，您遇到了一个BrokenPipeError，这通常意味着子进程（在这种情况下是ffmpeg）在父进程尝试写入数据时已经终止或崩溃 HOT 1
- 重建视频很清楚，但是canonical图片很模糊 HOT 1
- No such file or directory: 'configs/StrangerThings/base.yaml'
- CUDA error: out of memory HOT 1
- 重建的transfomed视频是黑色的
- Question about the flow HOT 1
- How can I reduce the blur in my canonical image?
- Regarding pe_deformed_grid = (deformed_grid + 0.3) / 1.6 HOT 1
- 【BUG ?】 Problems about the background loss when `self_bg=False`
- a question about train code? HOT 1
- Some confusions about the code HOT 2
- why can't i run this application on windows10 OS?
- 请问一个不同视频就得训练一个模型吗 HOT 2
- problem of reconstruction by canonical image HOT 1
- i met some errors when run train step 1 in colab
- video translation 测试这一步具体是怎么实现的，该对哪个图片使用controlnet。那这个视频风格迁移的效果是取决于controlnet生图的效果吗
- Codef
- 在哪里指定prompt?
- 如何改变transform后的视频的风格呢？
- 视频中人物动作变化太快，训练出来的 canonical image 非常的模糊
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