Comments (17)
https://github.com/sdbds/magic-animate-for-windows
Here is a one click solution without any paywalls.
I think it's bad taste to use the issue section for promoting oneself economic endeavors because it goes against the spirit of open source. You cannot take open source content and put it behind a paywall in good faith. It doesn't matter if you worked 24hours straight. The project creators have probably worked much longer.
from magic-animate.
Is there no way to install it without utilizing WSL2? I've been trying for around 2 hours to get it to work via Anaconda and/or Powershell on Windows 11, but it always come up with errors.
I'm wanting to run it on my cloud PC, but the service I use (Shadow) does not allow nested virtualization, so I can't utilize WSL2. Super frustrating.
there is a way
i spent hours to make it work yesterday like more than 6 hours
works with regular venv and python 3.10.x
can be downloaded from here i am preparing a tutorial and working on automatic dense pose generator right now
from magic-animate.
DensePose
ok how we gonna generate DensePose video?
Thanks opened an issue thread there
Do you know how?
facebookresearch/detectron2#5167
from magic-animate.
Is there no way to install it without utilizing WSL2? I've been trying for around 2 hours to get it to work via Anaconda and/or Powershell on Windows 11, but it always come up with errors.
I'm wanting to run it on my cloud PC, but the service I use (Shadow) does not allow nested virtualization, so I can't utilize WSL2. Super frustrating.
from magic-animate.
can you try with this raw video instead of pre shared motion video
ex2.mp4
from magic-animate.
can you try with this raw video instead of pre shared motion video
ex2.mp4
But this is not a DensePose video. This definitely won't work.
from magic-animate.
DensePose
ok how we gonna generate DensePose video?
from magic-animate.
DensePose
ok how we gonna generate DensePose video?
Whit this: https://github.com/facebookresearch/detectron2
from magic-animate.
Hi, we acutally don't have window platform to test the installation and inference. You can refer to #18 for generating your own DensePose seuqnces. Thanks.
from magic-animate.
I tried installing it natively with 0 luck. The anaconda way fails, as there are about 10 libraries missing. As for the pip way pip3 install -r requirements.txt
it fails with:
ERROR: Could not find a version that satisfies the requirement nvidia-cudnn-cu11==8.5.0.96 (from versions: 0.0.1.dev5, 8.9.4.19, 8.9.4.25, 8.9.5.29)
ERROR: No matching distribution found for nvidia-cudnn-cu11==8.5.0.96
They dropped windows support in tensorflow (talk about being out of touch), so the only way to fix this would be to install an older version of tensorflow. I'm no python developer, and I haven't found where the package version is specified. Thus, this is all the progress I made.
from magic-animate.
urgh
/home/yuuru/magic-animate/magicanimate/pipelines/pipeline_animation.py:43: FutureWarning: Importing `DiffusionPipeline` or `ImagePipelineOutput` from diffusers.pipeline_utils is deprecated. Please import from diffusers.pipelines.pipeline_utils instead.
from diffusers.pipeline_utils import DiffusionPipeline
Traceback (most recent call last):
File "/home/yuuru/miniconda3/envs/manimate/lib/python3.8/runpy.py", line 194, in _run_module_as_main
return _run_code(code, main_globals, None,
File "/home/yuuru/miniconda3/envs/manimate/lib/python3.8/runpy.py", line 87, in _run_code
exec(code, run_globals)
File "/home/yuuru/magic-animate/magicanimate/pipelines/animation.py", line 282, in <module>
run(args)
File "/home/yuuru/magic-animate/magicanimate/pipelines/animation.py", line 271, in run
main(args)
File "/home/yuuru/magic-animate/magicanimate/pipelines/animation.py", line 75, in main
tokenizer = CLIPTokenizer.from_pretrained(config.pretrained_model_path, subfolder="tokenizer")
File "/home/yuuru/miniconda3/envs/manimate/lib/python3.8/site-packages/transformers/tokenization_utils_base.py", line 1838, in from_pretrained
raise EnvironmentError(
OSError: Can't load tokenizer for 'pretrained_models/stable-diffusion-v1-5'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't have a local directory with the same name. Otherwise, make sure 'pretrained_models/stable-diffusion-v1-5' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.
from magic-animate.
urgh
File "/home/yuuru/magic-animate/magicanimate/pipelines/animation.py", line 75, in main
tokenizer = CLIPTokenizer.from_pretrained(config.pretrained_model_path, subfolder="tokenizer")
'pretrained_models/stable-diffusion-v1-5' is the correct path to a directory containing all relevant files for a CLIPTokenizer tokenizer.
Please read back! I described that you need to download the tokenizer folder.
from magic-animate.
Please read back! I described that you need to download the tokenizer folder.
Yeah, I sure did. Trying again from scratch.
Okay, git clones helped. I think it's about different line endings
from magic-animate.
finally released full scripts including auto DensePose maker : #44
from magic-animate.
There is an issue with installing on Windows, you can view this video:
https://www.bilibili.com/video/BV1ig4y1f7BQ/?share_source=copy_web&vd_source=842db193ae3e8fc29019a57821e30000
from magic-animate.
urgh
文件“/home/yuuru/magic-animate/magicanimate/pipelines/animation.py”,第 75 行,在主
tokenizer = CLIPTokenizer.from_pretrained(config.pretrained_model_path, subfolder="tokenizer")
'pretrained_models/stable-diffusion-v1 -5' 是包含 CLIPTokenizer 分词器所有相关文件的目录的正确路径。
from magic-animate.
urgh
文件“/home/yuuru/magic-animate/magicanimate/pipelines/animation.py”,第 75 行,在主
tokenizer = CLIPTokenizer.from_pretrained(config.pretrained_model_path, subfolder="tokenizer")
'pretrained_models/stable-diffusion-v1 -5' 是包含 CLIPTokenizer 分词器所有相关文件的目录的正确路径。
open an issue here
https://github.com/sdbds/magic-animate-for-windows/issues
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Related Issues (20)
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