Comments (1)
I was trying to train for the text to video generation can you please provide any code base as in the train.py it is said that T2V training is not supported at this moment so how can I do that ?
We currently have no plans to release text-to-video training code. However, I think it should be relatively easy to change the text-to-video inference code to training code. You can refer to our train.py
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Related Issues (20)
- Train code of t2v? HOT 2
- 如何复现主页展示的t2v效果? HOT 3
- t2v只支持16帧吗?我改成更多比如32帧就啥都看不到了 HOT 1
- Implementation of compression frame patch embedding (Fig. 3b) HOT 2
- diffusion noise modify HOT 1
- About Training Speed HOT 3
- About resume checkpoint HOT 2
- Extra key in ucf101.pt HOT 7
- Why choose these datasets and why not compare with pika, SVD or Gen2? HOT 1
- trained and sample result very strange (我自己训练复现的效果很奇怪) HOT 20
- What is the difference between Latte and ViViT? HOT 2
- RuntimeError: "LayerNormKernelImpl" not implemented for 'Half' HOT 1
- RuntimeError: "slow_conv2d_cpu" not implemented for 'Half' HOT 2
- image_size = [256,512] HOT 4
- CUDA out of memory HOT 4
- Evaluate the FVD? HOT 5
- Some weights of AutoencoderKL were not initialized from the model checkpoint at /path/to/Latte/t2v_required_models/ and are newly initialized because the shapes did not match: HOT 2
- FaceForensics数据集 HOT 2
- No positional embeddings in LatteT2V?
- Is autoregression possible? HOT 3
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