Trying Out MagicAnimate
Magic Animate is an open-source project that turns still images into videos.
In this article, we try it out using the Windows version.
The test environment is a Core i7 + 64 GB RAM + RTX 3090.
Note that installation takes about 30 minutes and consumes roughly 32 GB of storage.
Creating a working directory
We create a directory called ai_experiment on d:/ and work under it.
Open PowerShell and run the following.
d:
mkdir ai_experimentOutput
Windows PowerShell
Copyright (C) Microsoft Corporation. All rights reserved.
PS D:\> mkdir ai_experiment
Directory: D:\
Mode LastWriteTime Length Name
---- ------------- ------ ----
d----- 2024/01/16 17:10 ai_experiment
Cloning the project
Enter the experiment directory and clone the project with the following commands.
cd .\ai_experiment\
git clone https://github.com/sdbds/magic-animate-for-windows.git
Output
PS D:\> cd .\ai_experiment\
PS D:\ai_experiment> git clone https://github.com/sdbds/magic-animate-for-windows.git
Cloning into 'magic-animate-for-windows'...
remote: Enumerating objects: 272, done.
remote: Counting objects: 100% (272/272), done.
remote: Compressing objects: 100% (167/167), done.
remote: Total 272 (delta 133), reused 221 (delta 94), pack-reused 0
Receiving objects: 100% (272/272), 24.99 MiB | 22.34 MiB/s, done.
Resolving deltas: 100% (133/133), done.
Changing the PowerShell execution policy
Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope Process
Creating a virtual environment
Move into the cloned project directory and create a virtual environment.
PS D:\ai_experiment> cd .\magic-animate-for-windows\
PS D:\ai_experiment\magic-animate-for-windows> python -m venv venv
Activating the virtual environment
venv\Scripts\activate.ps1
Output
PS D:\ai_experiment\magic-animate-for-windows> venv\Scripts\activate.ps1
Installing PyTorch into the virtual environment
pip3 install torch torchvision torchaudio --index-url https://download.pytorch.org/whl/cu118
Looking in indexes: https://download.pytorch.org/whl/cu118
Output
Collecting torch
Using cached https://download.pytorch.org/whl/cu118/torch-2.3.1%2Bcu118-cp311-cp311-win_amd64.whl (2673.0 MB)
Collecting torchvision
Using cached https://download.pytorch.org/whl/cu118/torchvision-0.18.1%2Bcu118-cp311-cp311-win_amd64.whl (4.9 MB)
Collecting torchaudio
Using cached https://download.pytorch.org/whl/cu118/torchaudio-2.3.1%2Bcu118-cp311-cp311-win_amd64.whl (4.0 MB)
Collecting filelock (from torch)
Using cached https://download.pytorch.org/whl/filelock-3.13.1-py3-none-any.whl (11 kB)
Collecting typing-extensions>=4.8.0 (from torch)
Using cached https://download.pytorch.org/whl/typing_extensions-4.9.0-py3-none-any.whl (32 kB)
Collecting sympy (from torch)
Using cached https://download.pytorch.org/whl/sympy-1.12-py3-none-any.whl (5.7 MB)
Collecting networkx (from torch)
Using cached https://download.pytorch.org/whl/networkx-3.2.1-py3-none-any.whl (1.6 MB)
Collecting jinja2 (from torch)
Using cached https://download.pytorch.org/whl/Jinja2-3.1.3-py3-none-any.whl (133 kB)
Collecting fsspec (from torch)
Using cached https://download.pytorch.org/whl/fsspec-2024.2.0-py3-none-any.whl (170 kB)
Collecting mkl<=2021.4.0,>=2021.1.1 (from torch)
Using cached https://download.pytorch.org/whl/mkl-2021.4.0-py2.py3-none-win_amd64.whl (228.5 MB)
Collecting numpy (from torchvision)
Using cached https://download.pytorch.org/whl/numpy-1.26.3-cp311-cp311-win_amd64.whl (15.8 MB)
Collecting pillow!=8.3.*,>=5.3.0 (from torchvision)
Using cached https://download.pytorch.org/whl/pillow-10.2.0-cp311-cp311-win_amd64.whl (2.6 MB)
Collecting intel-openmp==2021.* (from mkl<=2021.4.0,>=2021.1.1->torch)
Using cached https://download.pytorch.org/whl/intel_openmp-2021.4.0-py2.py3-none-win_amd64.whl (3.5 MB)
Collecting tbb==2021.* (from mkl<=2021.4.0,>=2021.1.1->torch)
Using cached https://download.pytorch.org/whl/tbb-2021.11.0-py3-none-win_amd64.whl (298 kB)
Collecting MarkupSafe>=2.0 (from jinja2->torch)
Using cached https://download.pytorch.org/whl/MarkupSafe-2.1.5-cp311-cp311-win_amd64.whl (17 kB)
Collecting mpmath>=0.19 (from sympy->torch)
Using cached https://download.pytorch.org/whl/mpmath-1.3.0-py3-none-any.whl (536 kB)
Installing collected packages: tbb, mpmath, intel-openmp, typing-extensions, sympy, pillow, numpy, networkx, mkl, MarkupSafe, fsspec, filelock, jinja2, torch, torchvision, torchaudio
Successfully installed MarkupSafe-2.1.5 filelock-3.13.1 fsspec-2024.2.0 intel-openmp-2021.4.0 jinja2-3.1.3 mkl-2021.4.0 mpmath-1.3.0 networkx-3.2.1 numpy-1.26.3 pillow-10.2.0 sympy-1.12 tbb-2021.11.0 torch-2.3.1+cu118 torchaudio-2.3.1+cu118 torchvision-0.18.1+cu118 typing-extensions-4.9.0
Running the install script
Next, run the following to start installing and building the related packages.
This takes about 20 minutes.
.\install.ps1
Output
Installing deps...
Looking in indexes: https://pypi.org/simple, https://download.pytorch.org/whl/cu118
Collecting absl-py==1.4.0 (from -r requirements-windows.txt (line 2))
Using cached absl_py-1.4.0-py3-none-any.whl (126 kB)
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Using cached accelerate-0.22.0-py3-none-any.whl (251 kB)
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Using cached aiofiles-23.2.1-py3-none-any.whl (15 kB)
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Using cached aiohttp-3.8.5-cp311-cp311-win_amd64.whl (320 kB)
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Using cached aiosignal-1.3.1-py3-none-any.whl (7.6 kB)
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Using cached altair-5.0.1-py3-none-any.whl (471 kB)
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Using cached cachetools-5.3.1-py3-none-any.whl (9.3 kB)
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Using cached filelock-3.12.2-py3-none-any.whl (10 kB)
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Using cached fonttools-4.42.1-cp311-cp311-win_amd64.whl (2.1 MB)
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Using cached fsspec-2023.6.0-py3-none-any.whl (163 kB)
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Using cached huggingface_hub-0.16.4-py3-none-any.whl (268 kB)
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Using cached https://download.pytorch.org/whl/Jinja2-3.1.2-py3-none-any.whl (133 kB)
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Using cached joblib-1.3.2-py3-none-any.whl (302 kB)
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Using cached jsonschema-4.19.0-py3-none-any.whl (83 kB)
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Using cached https://download.pytorch.org/whl/MarkupSafe-2.1.3-cp311-cp311-win_amd64.whl (17 kB)
Collecting matplotlib==3.7.2 (from -r requirements-windows.txt (line 51))
Using cached matplotlib-3.7.2-cp311-cp311-win_amd64.whl (7.5 MB)
Requirement already satisfied: mpmath==1.3.0 in d:\ai_experiment\magic-animate-for-windows\venv\lib\site-packages (from -r requirements-windows.txt (line 52)) (1.3.0)
Collecting multidict==6.0.4 (from -r requirements-windows.txt (line 53))
Using cached multidict-6.0.4-cp311-cp311-win_amd64.whl (28 kB)
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Using cached networkx-3.1-py3-none-any.whl (2.1 MB)
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Using cached numpy-1.24.4-cp311-cp311-win_amd64.whl (14.8 MB)
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Requirement already satisfied: sympy==1.12 in d:\ai_experiment\magic-animate-for-windows\venv\lib\site-packages (from -r requirements-windows.txt (line 87)) (1.12)
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Installing collected packages: tokenizers, safetensors, pytz, pydub, lit, ffmpy, cmake, antlr4-python3-runtime, zipp, xxhash, wheel, websockets, urllib3, tzdata, toolz, tomlkit, tensorboard-data-server, sniffio, six, shellingham, semantic-version, rpds-py, regex, pyyaml, python-multipart, pyparsing, pygments, pydantic-core, pyasn1, psutil, protobuf, pkgutil-resolve-name, pillow, packaging, orjson, oauthlib, numpy, networkx, multidict, mdurl, markupsafe, markdown, kiwisolver, joblib, importlib-resources, imageio-ffmpeg, idna, h11, grpcio, future, fsspec, frozenlist, fonttools, filelock, exceptiongroup, einops, dill, cycler, colorama, charset-normalizer, certifi, cachetools, av, attrs, async-timeout, annotated-types, aiofiles, absl-py, yarl, werkzeug, tqdm, tifffile, Shapely, scipy, rsa, requests, referencing, PyWavelets, python-dateutil, pydantic, pyasn1-modules, pyarrow, opencv-python, omegaconf, multiprocess, markdown-it-py, lightning-utilities, lazy_loader, jinja2, importlib-metadata, imageio, ffmpeg-python, decord, contourpy, click, anyio, aiosignal, uvicorn, torch, starlette, scikit-image, rich, requests-oauthlib, pandas, matplotlib, jsonschema-specifications, huggingface-hub, httpcore, google-auth, aiohttp, xformers, typer, transformers, torchvision, torchmetrics, jsonschema, imgaug, httpx, google-auth-oauthlib, fastapi, diffusers, accelerate, timm, tensorboard, pytorch-lightning, lpips, gradio-client, datasets, altair, gradio
Attempting uninstall: pillow
Found existing installation: pillow 10.2.0
Uninstalling pillow-10.2.0:
Successfully uninstalled pillow-10.2.0
Attempting uninstall: numpy
Found existing installation: numpy 1.26.3
Uninstalling numpy-1.26.3:
Successfully uninstalled numpy-1.26.3
Attempting uninstall: networkx
Found existing installation: networkx 3.2.1
Uninstalling networkx-3.2.1:
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Attempting uninstall: markupsafe
Found existing installation: MarkupSafe 2.1.5
Uninstalling MarkupSafe-2.1.5:
Successfully uninstalled MarkupSafe-2.1.5
Attempting uninstall: fsspec
Found existing installation: fsspec 2024.2.0
Uninstalling fsspec-2024.2.0:
Successfully uninstalled fsspec-2024.2.0
Attempting uninstall: filelock
Found existing installation: filelock 3.13.1
Uninstalling filelock-3.13.1:
Successfully uninstalled filelock-3.13.1
Attempting uninstall: jinja2
Found existing installation: Jinja2 3.1.3
Uninstalling Jinja2-3.1.3:
Successfully uninstalled Jinja2-3.1.3
Attempting uninstall: torch
Found existing installation: torch 2.3.1+cu118
Uninstalling torch-2.3.1+cu118:
Successfully uninstalled torch-2.3.1+cu118
Attempting uninstall: torchvision
Found existing installation: torchvision 0.18.1+cu118
Uninstalling torchvision-0.18.1+cu118:
Successfully uninstalled torchvision-0.18.1+cu118
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
torchaudio 2.3.1+cu118 requires torch==2.3.1+cu118, but you have torch 2.0.1+cu118 which is incompatible.
Successfully installed PyWavelets-1.6.0 Shapely-2.0.4 absl-py-1.4.0 accelerate-0.22.0 aiofiles-23.2.1 aiohttp-3.8.5 aiosignal-1.3.1 altair-5.0.1 annotated-types-0.5.0 antlr4-python3-runtime-4.9.3 anyio-3.7.1 async-timeout-4.0.3 attrs-23.1.0 av-12.1.0 cachetools-5.3.1 certifi-2023.7.22 charset-normalizer-3.2.0 click-8.1.7 cmake-3.27.2 colorama-0.4.6 contourpy-1.1.0 cycler-0.11.0 datasets-2.14.4 decord-0.6.0 diffusers-0.21.4 dill-0.3.7 einops-0.6.1 exceptiongroup-1.1.3 fastapi-0.103.0 ffmpeg-python-0.2.0 ffmpy-0.3.1 filelock-3.12.2 fonttools-4.42.1 frozenlist-1.4.0 fsspec-2023.6.0 future-1.0.0 google-auth-2.22.0 google-auth-oauthlib-1.0.0 gradio-4.8.0 gradio-client-0.7.1 grpcio-1.57.0 h11-0.14.0 httpcore-0.17.3 httpx-0.24.1 huggingface-hub-0.16.4 idna-3.4 imageio-2.9.0 imageio-ffmpeg-0.4.3 imgaug-0.4.0 importlib-metadata-6.8.0 importlib-resources-6.0.1 jinja2-3.1.2 joblib-1.3.2 jsonschema-4.19.0 jsonschema-specifications-2023.7.1 kiwisolver-1.4.5 lazy_loader-0.4 lightning-utilities-0.9.0 lit-16.0.6 lpips-0.1.4 markdown-3.4.4 markdown-it-py-3.0.0 markupsafe-2.1.3 matplotlib-3.7.2 mdurl-0.1.2 multidict-6.0.4 multiprocess-0.70.15 networkx-3.1 numpy-1.24.4 oauthlib-3.2.2 omegaconf-2.3.0 opencv-python-4.8.0.76 orjson-3.9.5 packaging-24.1 pandas-2.0.3 pillow-9.5.0 pkgutil-resolve-name-1.3.10 protobuf-4.24.2 psutil-5.9.5 pyarrow-13.0.0 pyasn1-0.5.0 pyasn1-modules-0.3.0 pydantic-2.3.0 pydantic-core-2.6.3 pydub-0.25.1 pygments-2.18.0 pyparsing-3.0.9 python-dateutil-2.9.0.post0 python-multipart-0.0.6 pytorch-lightning-2.0.7 pytz-2023.3 pyyaml-6.0.1 referencing-0.30.2 regex-2023.8.8 requests-2.31.0 requests-oauthlib-1.3.1 rich-13.7.1 rpds-py-0.9.2 rsa-4.9 safetensors-0.3.3 scikit-image-0.20.0 scipy-1.13.1 semantic-version-2.10.0 shellingham-1.5.4 six-1.16.0 sniffio-1.3.0 starlette-0.27.0 tensorboard-2.14.0 tensorboard-data-server-0.7.1 tifffile-2024.5.22 timm-1.0.3 tokenizers-0.13.3 tomlkit-0.12.0 toolz-0.12.0 torch-2.0.1+cu118 torchmetrics-1.1.0 torchvision-0.15.2+cu118 tqdm-4.66.1 transformers-4.32.0 typer-0.12.3 tzdata-2023.3 urllib3-1.26.16 uvicorn-0.23.2 websockets-11.0.3 werkzeug-2.3.7 wheel-0.43.0 xformers-0.0.22 xxhash-3.3.0 yarl-1.9.2 zipp-3.16.2
Checking models...
Creating pretrained_models...
Directory: D:\ai_experiment\magic-animate-for-windows
Mode LastWriteTime Length Name
---- ------------- ------ ----
d----- 2024/01/16 17:21 pretrained_models
Downloading MagicAnimate models...
Updated Git hooks.
Git LFS initialized.
WARNING: `git lfs clone` is deprecated and will not be updated
with new flags from `git clone`
`git clone` has been updated in upstream Git to have comparable
speeds to `git lfs clone`.
Cloning into 'MagicAnimate'...
remote: Enumerating objects: 17, done.
remote: Counting objects: 100% (13/13), done.
remote: Compressing objects: 100% (13/13), done.
remote: Total 17 (delta 2), reused 0 (delta 0), pack-reused 4 (from 1)
Unpacking objects: 100% (17/17), 2.84 KiB | 24.00 KiB/s, done.
Partway through, you will be asked
**Do you need to download SD15? If you don't have any SD15 model locally select y, if you want to change to another SD1.5 model select n. [y/n] (Default is y): **
so enter y.
Output (continued)
Downloading stable-diffusion-v1-5 models...
WARNING: `git lfs clone` is deprecated and will not be updated
with new flags from `git clone`
`git clone` has been updated in upstream Git to have comparable
speeds to `git lfs clone`.
Cloning into 'stable-diffusion-v1-5'...
remote: Enumerating objects: 28, done.
remote: Total 28 (delta 0), reused 0 (delta 0), pack-reused 28 (from 1)
Unpacking objects: 100% (28/28), 520.99 KiB | 1.30 MiB/s, done.
Then you will be asked again
Do you need to download control_v11p_sd15_openpose? If you want use it select y, if you dont want select n. [y/n] (Default is y):
so choose y.
Output
Downloading control_v11p_sd15_openpose models...
WARNING: `git lfs clone` is deprecated and will not be updated
with new flags from `git clone`
`git clone` has been updated in upstream Git to have comparable
speeds to `git lfs clone`.
Cloning into 'control_v11p_sd15_openpose'...
remote: Enumerating objects: 8, done.
remote: Total 8 (delta 0), reused 0 (delta 0), pack-reused 8 (from 1)
Unpacking objects: 100% (8/8), 1.34 KiB | 20.00 KiB/s, done.
Installing Video_controlnet_aux...), 723 MB | 68 MB/s
Submodule 'video_controlnet_aux' (https://github.com/sdbds/video_controlnet_aux) registered for path '../video_controlnet_aux'
Cloning into 'D:/ai_experiment/magic-animate-for-windows/video_controlnet_aux'...
Submodule path '../video_controlnet_aux': checked out '9a86fb8077e0fae573ad5240d615bb0a08765874'
Looking in indexes: https://mirror.baidu.com/pypi/simple, https://download.pytorch.org/whl/cu118
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Building wheel for aliyun-python-sdk-core (setup.py) ... done
Created wheel for aliyun-python-sdk-core: filename=aliyun_python_sdk_core-2.15.1-py3-none-any.whl size=535341 sha256=e69edbfd184130357017f4089f45c65e9e6fa6161bc02b97f4073b92eb641d03
Stored in directory: c:\users\ml\appdata\local\pip\cache\wheels\37\ff\46\20b55b0ffac0b896afb4c52c46f2bd07a3225cf6f509ffe33e
Building wheel for crcmod (setup.py) ... done
Created wheel for crcmod: filename=crcmod-1.7-cp311-cp311-win_amd64.whl size=25025 sha256=e96c545ef71581e9f9e778cb3c40b0b87a4d79f859fa92616bea572a17044dca
Stored in directory: c:\users\ml\appdata\local\pip\cache\wheels\4e\f0\4b\0f8f16d092db2f224476aa182963488cc25a30a87ea329661b
Successfully built moviepy oss2 aliyun-python-sdk-core crcmod
Installing collected packages: crcmod, tqdm, setuptools, requests, pycryptodome, ordered-set, jmespath, filelock, decorator, rich, proglog, model-index, cryptography, moviepy, aliyun-python-sdk-core, aliyun-python-sdk-kms, oss2, openxlab, opendatalab, openmim
Attempting uninstall: tqdm
Found existing installation: tqdm 4.66.1
Uninstalling tqdm-4.66.1:
Successfully uninstalled tqdm-4.66.1
Attempting uninstall: setuptools
Found existing installation: setuptools 65.5.0
Uninstalling setuptools-65.5.0:
Successfully uninstalled setuptools-65.5.0
Attempting uninstall: requests
Found existing installation: requests 2.31.0
Uninstalling requests-2.31.0:
Successfully uninstalled requests-2.31.0
Attempting uninstall: filelock
Found existing installation: filelock 3.12.2
Uninstalling filelock-3.12.2:
Successfully uninstalled filelock-3.12.2
Attempting uninstall: rich
Found existing installation: rich 13.7.1
Uninstalling rich-13.7.1:
Successfully uninstalled rich-13.7.1
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
torchaudio 2.3.1+cu118 requires torch==2.3.1+cu118, but you have torch 2.0.1+cu118 which is incompatible.
Successfully installed aliyun-python-sdk-core-2.15.1 aliyun-python-sdk-kms-2.16.3 crcmod-1.7 cryptography-42.0.8 decorator-4.4.2 filelock-3.14.0 jmespath-0.10.0 model-index-0.1.11 moviepy-1.0.3 opendatalab-0.0.10 openmim-0.3.9 openxlab-0.1.0 ordered-set-4.1.0 oss2-2.17.0 proglog-0.1.10 pycryptodome-3.20.0 requests-2.28.2 rich-13.4.2 setuptools-60.2.0 tqdm-4.65.2
Install completed
Some error messages may appear along the way, but as a rule you can safely ignore them.
Running it
When the installation finishes, the current directory will have changed, so move back up one level.
PS D:\ai_experiment\magic-animate-for-windows\video_controlnet_aux> cd..
Then run
.\run_gui.ps1
there.
Output
(venv) PS D:\ai_experiment\magic-animate-for-windows\video_controlnet_aux> cd..
(venv) PS D:\ai_experiment\magic-animate-for-windows> .\run_gui.ps1
D:\ai_experiment\magic-animate-for-windows\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
Initializing MagicAnimate Pipeline...
Downloading tokenizer/vocab.json: 100%|███████████████████████████████████████████| 1.06M/1.06M [00:00<00:00, 2.50MB/s]
Downloading tokenizer/merges.txt: 100%|█████████████████████████████████████████████| 525k/525k [00:00<00:00, 1.23MB/s]
Downloading (…)cial_tokens_map.json: 100%|████████████████████████████████████████████████████| 472/472 [00:00<?, ?B/s]
Downloading (…)okenizer_config.json: 100%|████████████████████████████████████████████████████| 806/806 [00:00<?, ?B/s]
### missing keys: 1246;
### unexpected keys: 51;
The config attributes {'addition_embed_type': None, 'addition_embed_type_num_heads': 64, 'addition_time_embed_dim': None, 'conditioning_channels': 3, 'encoder_hid_dim': None, 'encoder_hid_dim_type': None, 'global_pool_conditions': False, 'num_attention_heads': None, 'transformer_layers_per_block': 1} were passed to ControlNetModel, but are not expected and will be ignored. Please verify your config.json configuration file.
It is recommended to provide `attention_head_dim` when calling `get_down_block`. Defaulting `attention_head_dim` to 8.
It is recommended to provide `attention_head_dim` when calling `get_down_block`. Defaulting `attention_head_dim` to 8.
It is recommended to provide `attention_head_dim` when calling `get_down_block`. Defaulting `attention_head_dim` to 8.
It is recommended to provide `attention_head_dim` when calling `get_down_block`. Defaulting `attention_head_dim` to 8.
Using Densepose ControlNet
D:\ai_experiment\magic-animate-for-windows\magicanimate\pipelines\pipeline_animation.py:103: FutureWarning: The configuration file of this scheduler: DDIMScheduler {
"_class_name": "DDIMScheduler",
"_diffusers_version": "0.21.4",
"beta_end": 0.012,
"beta_schedule": "linear",
"beta_start": 0.00085,
"clip_sample": true,
"clip_sample_range": 1.0,
"dynamic_thresholding_ratio": 0.995,
"num_train_timesteps": 1000,
"prediction_type": "epsilon",
"rescale_betas_zero_snr": false,
"sample_max_value": 1.0,
"set_alpha_to_one": true,
"steps_offset": 0,
"thresholding": false,
"timestep_spacing": "leading",
"trained_betas": null
}
is outdated. `steps_offset` should be set to 1 instead of 0. Please make sure to update the config accordingly as leaving `steps_offset` might led to incorrect results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json` file
deprecate("steps_offset!=1", "1.0.0", deprecation_message, standard_warn=False)
D:\ai_experiment\magic-animate-for-windows\magicanimate\pipelines\pipeline_animation.py:116: FutureWarning: The configuration file of this scheduler: DDIMScheduler {
"_class_name": "DDIMScheduler",
"_diffusers_version": "0.21.4",
"beta_end": 0.012,
"beta_schedule": "linear",
"beta_start": 0.00085,
"clip_sample": true,
"clip_sample_range": 1.0,
"dynamic_thresholding_ratio": 0.995,
"num_train_timesteps": 1000,
"prediction_type": "epsilon",
"rescale_betas_zero_snr": false,
"sample_max_value": 1.0,
"set_alpha_to_one": true,
"steps_offset": 1,
"thresholding": false,
"timestep_spacing": "leading",
"trained_betas": null
}
has not set the configuration `clip_sample`. `clip_sample` should be set to False in the configuration file. Please make sure to update the config accordingly as not setting `clip_sample` in the config might lead to incorrect results in future versions. If you have downloaded this checkpoint from the Hugging Face Hub, it would be very nice if you could open a Pull request for the `scheduler/scheduler_config.json` file
deprecate("clip_sample not set", "1.0.0", deprecation_message, standard_warn=False)
Initialization Done!
IMPORTANT: You are using gradio version 4.8.0, however version 4.29.0 is available, please upgrade.
--------
Running on local URL: http://127.0.0.1:7860
Running on public URL: https://78b5770dd2028aa648.gradio.live
The server starts up like this.
It appears that a public URL is also set up.
Trying out video generation
Now let's try feeding in the following image.
URL http://127.0.0.1:7860/ — open it in your browser and upload the image.
After waiting about four minutes, the following video was generated. That is all it takes.
Output
This share link expires in 72 hours. For free permanent hosting and GPU upgrades, run `gradio deploy` from Terminal to deploy to Spaces (https://huggingface.co/spaces)
D:\ai_experiment\magic-animate-for-windows\magicanimate\pipelines\pipeline_animation.py:624: FutureWarning: Accessing config attribute `in_channels` directly via 'UNet3DConditionModel' object attribute is deprecated. Please access 'in_channels' over 'UNet3DConditionModel's config object instead, e.g. 'unet.config.in_channels'.
num_channels_latents = self.unet.in_channels
100%|██████████████████████████████████████████████████████████████████████████████████| 25/25 [04:13<00:00, 10.12s/it]
100%|████████████████████████████████████████████████████████████████████████████████| 112/112 [00:06<00:00, 16.08it/s]
IMAGEIO FFMPEG_WRITER WARNING: input image is not divisible by macro_block_size=16, resizing from (1544, 516) to (1552, 528) to ensure video compatibility with most codecs and players. To prevent resizing, make your input image divisible by the macro_block_size or set the macro_block_size to 1 (risking incompatibility).
