Comments (4)
maxin-cn
commented on July 21, 2024
And the t2v model cannot recognize Chinese prompts
We may consider adding support for image-to-video conversion in the future. Currently, we utilize T5 as our text encoder, which may not support Chinese. Thanks for your interest.
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XGGNet
commented on July 21, 2024
@maxin-cn here, "image-to-video conversion" means a generalizable i2v?
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maxin-cn
commented on July 21, 2024
@maxin-cn here, "image-to-video conversion" means a generalizable i2v?
Sure!
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XGGNet
commented on July 21, 2024
@maxin-cn here, "image-to-video conversion" means a generalizable i2v?
Sure!
Thx! Looking forward to it!
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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 3
- No positional embeddings in LatteT2V?
- Is autoregression possible? HOT 3
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