Comments (6)
Hi, thanks for your attention. I am actually considering doing that. But I am currently busy with other projects (e.g., my bachelor thesis) and making more demos.
The core idea of Gen-L-Video is very simple and straightforward. Here's what I am planning to do in the future.
- A tutorial to demonstrate the core idea of Gen-L-Video.
- Release more demos and their corresponding scripts.
from gen-l-video.
Very exciting.
Currently testing SD/CN and have gotten some interesting results, but this looks quite promising.
Second the idea of a tutorial - I'm sure it won't be too difficult to get it all going but if there is any expectation for some of the newer people just figuring this stuff out it will likely be a nightmare for them lol.
Thanks, looking forwards to getting that one-shot-tuning-mix available!
from gen-l-video.
Thank you very much for this great demo. I really liked the anime video you made. Can you share the sample code here to do just that?
Or what Python files should I examine to do this?
from gen-l-video.
That demo was generated with one-shot-tuning-mix
, which has not been uploaded or thoroughly checked to ensure everything is fine. I will upload it as soon as possible.
from gen-l-video.
Hi, Can you guide me on why do I get an error when I change the video for tuning-free-mix? What are assert len(prompt) == video_length//clip_length.
from gen-l-video.
Nice work! When will you release the instructions for reproduce https://github.com/G-U-N/Gen-L-Video#multi-text-conditioned-long-video-generation? Thank you in advance!
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Related Issues (19)
- Inquiry about Minimum VRAM Requirement for Text-to-Video Model HOT 1
- accelerate launch one-shot-tuning.py --control=pose HOT 4
- code with videocrafter HOT 1
- Question about the One-shot tuning Text-to-Video algorithm HOT 1
- UserWarning: None of the inputs have requires_grad=True. Gradients will be None HOT 2
- Question about LORA
- ValueError: __len__() should return >= 0
- Adapting existing ModelScope architectures to generate long videos HOT 1
- Image guided video editing
- git clone https://huggingface.co/andite/anything-v4.0. This address is currently inaccessible and cannot download relevant weight files. What should I do HOT 1
- different samplers in the temporal co-denoising
- unknown mid_block_type : UNetMidBlock2DCrossAttn HOT 1
- What is the VRAM Requirements? HOT 1
- scheduler_config.json is missing
- Failed to follow the setup instructions on the ubuntu:latest docker image
- RuntimeError: CUDA error: invalid argument HOT 6
- _pickle.UnpicklingError: invalid load key, 'v'.
- TypeError: 'NoneType' object is not subscriptable
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