magic-animate

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when will your densepose extractor be open-sourced

8

Thanks for your excellent work. I would like to ask, when will your densepose extractor be open-sourced? I used the densepose extractor in [Simple Magic Animate](https://github.com/JackChen890311/Simple-Magic-Animate) and the evaluation results...

yyyouy

建个群抱团取暖~

28

主要解决图片到视频过程中遇到的一系列问题：包括环境安装，图片到动作的提取，视频崩坏，显存爆满，多卡运行，底模更换等一些列问题，收集一些优秀作品案例。提高沟通效率，降低学习成本，推动项目发展。

laixiao

After launching, failed to run demo

6

 logs ``` File "E:\apps\magic-animate\demo\animate.py", line 157, in __call__ sample = self.pipeline( File "D:\ProgramData\anaconda3\envs\magic-animate-py\lib\site-packages\torch\utils\_contextlib.py", line 115, in decorate_context return func(*args, **kwargs) File "E:\apps\magic-animate\magicanimate\pipelines\pipeline_animation.py", line 592, in __call__ text_embeddings = self._encode_prompt(...

vvip2u

Easy to use Inference Code

6

If someone has tried inferencing the model using shell scripts provided by the authors you may have found that videos are not saved in output directory. I have a written...

Bilal143260

Easy-to-use colab notebook

1

I created an easy-to-use colab notebook, and I achieved nice results by tweaking the model parameters. I hope you find it useful :) [Colab Notebook](https://colab.research.google.com/drive/1_S2hXrgTe3EVgIHp_xVgSsiOHBY4VHdq?usp=sharing) https://github.com/magic-research/magic-animate/assets/18446486/3f6f6cb4-284d-42e1-9363-636ace7abd17

hugozanini

Hope can provide some tips on how to generate good results like demo

3

Hi, thanks for sharing this wonderful work, I have test this model but the results are bad. So hope you guys can give some tips! ,thanks~

visonpon

[**MagicAnimate: Temporally Consistent Human Image Animation using Diffusion Model - Full Tutorial**](https://youtu.be/HeXknItbMM8) [](https://youtu.be/HeXknItbMM8) 🌟 Welcome to this comprehensive tutorial video where I guide you through the process of installing and...

FurkanGozukara

encoded_inputs["attention_mask"] = encoded_inputs["attention_mask"] + [0] * difference OverflowError: cannot fit 'int' into an index-sized integer

3

zsszyx

LCM sampler

6

https://github.com/magic-research/magic-animate/assets/108554892/590e4986-1859-4008-be58-9e82e97bf70f This thing is 8 steps, guidance 4 with LCM trained checkpoint. Seems almost like usual generation with 25 steps. It should work a bit better if we use LCM...

Priestru

hugozanini