Comments (1)
maxin-cn
commented on July 21, 2024
Good job, but I have some questions on ffs ckpt inference experiment. 1）I set "ckpt" in ffs.sh to the folder related to https://huggingface.co/maxin-cn/Latte/blob/main/ffs.pt", set "pretrained_model_path" to the folder related to https://huggingface.co/maxin-cn/Latte/tree/main/vae. But the performance of video generation is bad. Is there anything wrong with my process?
sample.mp4
2）Besides, I edit the code in sample.py. If I keep the code "samples = vae.decode(samples / 0.18215).sample", I will get "Segmentation fault". Therefore, I replace the code with the following. Is there anything wrong with my process?
I just tested my code and didn't find anything unusual. For the second question, perhaps you could reinstall your environment? Thanks for your interest.
sample.mp4
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Related Issues (20)
- 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
- 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
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