Comments (1)
What are the difference between the model of those two?
Training with images can improve the quality of generated videos. More details can be found in our paper.
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Related Issues (20)
- 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
- Questions about the *0.18215 and /0.18215 operation HOT 2
- About video VAE HOT 2
- 有关时长的问题。 HOT 4
- question on t2v model training HOT 2
- 视频帧率 HOT 2
- Question: model code and design choices HOT 2
- how to place and preprocess these datasets HOT 7
- the code of variant 4 HOT 1
- Question: evaluate the FVD HOT 6
- Error once speed up training HOT 2
- How to get preprocessed_ffs HOT 4
- Any plan to implement Latte in HuggingFace's diffusers library? HOT 3
- 模型在ucf101上无法收敛 HOT 5
- Can Latte train for I2V tasks? HOT 2
- Batch Size Ablations HOT 1
- what the param <input_sq_size> stands for? HOT 2
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