Comments (4)
我是先跑 test_multi.sh, 然后里面会有个 canonical_0.png 然后把这个图 , 拿到扩散模型里面, 用ControlNet 生成一张你喜欢的风格的, 然后放到这个里面, 跑test_canonical.sh
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我是先跑 test_multi.sh, 然后里面会有个 canonical_0.png 然后把这个图 , 拿到扩散模型里面, 用ControlNet 生成一张你喜欢的风格的, 然后放到这个里面, 跑test_canonical.sh
是这样的吗?我经常跑出来canonical都很模糊,这怎么放到control net
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你找个背景简单点的先试试看, 复杂的我也模糊,再看怎么解决
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风格转换可以用controlNet,也可以用其他的,但是比较推荐controlNet,因为对的比较齐而且texture质量比较高。现在对一些复杂场景和长视频,我们也在做更多的improvement,请期待之后的更新。
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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? HOT 1
- 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
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- 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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