Comments (8)
i have bug in line save video i have bug PyAVPlugin.write() got an unexpected keyword argument 'quality' I cant save output
Please run pip install imageio-ffmpeg
.
from latte.
It work, thank you so much. Great!! But when I change video_length prameter in t2v_sample.yaml from 16 to 32, its wrong : RuntimeError: The size of tensor a (32) must match the size of tensor b (16) at non-singleton dimension 1. How to make longer video
I have updated the code to support video generation larger than 16 frames. Since our t2v model is trained on a 16-frame video dataset, direct generation of video larger than 16 frames will result in low-quality generated video results. We will release a long video generation model in the future.
Great! Can you give me the new inference for video generation large than 16 frames?
Just update your code, then run bash sample/t2v.sh
.
from latte.
Thanks so much. But that repo Can generate video from images? I want to use generate video by image to improve from output t2v. I want to make video longer and highly quality. Thanks
Thank you for your interest, but image-to-video is not currently supported.
from latte.
It work, thank you so much. Great!!
But when I change video_length prameter in t2v_sample.yaml from 16 to 32, its wrong :
RuntimeError: The size of tensor a (32) must match the size of tensor b (16) at non-singleton dimension 1.
How to make longer video
from latte.
It work, thank you so much. Great!! But when I change video_length prameter in t2v_sample.yaml from 16 to 32, its wrong : RuntimeError: The size of tensor a (32) must match the size of tensor b (16) at non-singleton dimension 1. How to make longer video
I have updated the code to support video generation larger than 16 frames. Since our t2v model is trained on a 16-frame video dataset, direct generation of video larger than 16 frames will result in low-quality generated video results. We will release a long video generation model in the future.
from latte.
It work, thank you so much. Great!! But when I change video_length prameter in t2v_sample.yaml from 16 to 32, its wrong : RuntimeError: The size of tensor a (32) must match the size of tensor b (16) at non-singleton dimension 1. How to make longer video
I have updated the code to support video generation larger than 16 frames. Since our t2v model is trained on a 16-frame video dataset, direct generation of video larger than 16 frames will result in low-quality generated video results. We will release a long video generation model in the future.
Great! Can you give me the new inference for video generation large than 16 frames?
from latte.
Thanks so much. But that repo Can generate video from images? I want to use generate video by image to improve from output t2v. I want to make video longer and highly quality. Thanks
from latte.
Oh, thank you so much.
from latte.
Related Issues (20)
- 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
- 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
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