animatediff

.gitignore

+wandb/
+*debug*
+debugs/
+outputs/
+samples/
+__pycache__/
+ossutil_output/
+.ossutil_checkpoint/
+
+scripts/*
+!scripts/animate.py
+
+*.ipynb
+*.safetensors
+*.ckpt
+*.mp4
+*.csv
+
+models/*
+!models/StableDiffusion/
+models/StableDiffusion/*
+!models/StableDiffusion/*.txt
+!models/Motion_Module/
+!models/Motion_Module/*.txt
+!models/DreamBooth_LoRA/
+!models/DreamBooth_LoRA/*.txt
+!models/MotionLoRA/
+!models/MotionLoRA/*.txt
+openai/

Dockerfile

+FROM image.sourcefind.cn:5000/dcu/admin/base/pytorch:1.13.1-centos7.6-dtk-23.04.1-py39-latest

LICENSE.txt

+                                 Apache License
+                           Version 2.0, January 2004
+                        http://www.apache.org/licenses/
+
+   TERMS AND CONDITIONS FOR USE, REPRODUCTION, AND DISTRIBUTION
+
+   1. Definitions.
+
+      "License" shall mean the terms and conditions for use, reproduction,
+      and distribution as defined by Sections 1 through 9 of this document.
+
+      "Licensor" shall mean the copyright owner or entity authorized by
+      the copyright owner that is granting the License.
+
+      "Legal Entity" shall mean the union of the acting entity and all
+      other entities that control, are controlled by, or are under common
+      control with that entity. For the purposes of this definition,
+      "control" means (i) the power, direct or indirect, to cause the
+      direction or management of such entity, whether by contract or
+      otherwise, or (ii) ownership of fifty percent (50%) or more of the
+      outstanding shares, or (iii) beneficial ownership of such entity.
+
+      "You" (or "Your") shall mean an individual or Legal Entity
+      exercising permissions granted by this License.
+
+      "Source" form shall mean the preferred form for making modifications,
+      including but not limited to software source code, documentation
+      source, and configuration files.
+
+      "Object" form shall mean any form resulting from mechanical
+      transformation or translation of a Source form, including but
+      not limited to compiled object code, generated documentation,
+      and conversions to other media types.
+
+      "Work" shall mean the work of authorship, whether in Source or
+      Object form, made available under the License, as indicated by a
+      copyright notice that is included in or attached to the work
+      (an example is provided in the Appendix below).
+
+      "Derivative Works" shall mean any work, whether in Source or Object
+      form, that is based on (or derived from) the Work and for which the
+      editorial revisions, annotations, elaborations, or other modifications
+      represent, as a whole, an original work of authorship. For the purposes
+      of this License, Derivative Works shall not include works that remain
+      separable from, or merely link (or bind by name) to the interfaces of,
+      the Work and Derivative Works thereof.
+
+      "Contribution" shall mean any work of authorship, including
+      the original version of the Work and any modifications or additions
+      to that Work or Derivative Works thereof, that is intentionally
+      submitted to Licensor for inclusion in the Work by the copyright owner
+      or by an individual or Legal Entity authorized to submit on behalf of
+      the copyright owner. For the purposes of this definition, "submitted"
+      means any form of electronic, verbal, or written communication sent
+      to the Licensor or its representatives, including but not limited to
+      communication on electronic mailing lists, source code control systems,
+      and issue tracking systems that are managed by, or on behalf of, the
+      Licensor for the purpose of discussing and improving the Work, but
+      excluding communication that is conspicuously marked or otherwise
+      designated in writing by the copyright owner as "Not a Contribution."
+
+      "Contributor" shall mean Licensor and any individual or Legal Entity
+      on behalf of whom a Contribution has been received by Licensor and
+      subsequently incorporated within the Work.
+
+   2. Grant of Copyright License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      copyright license to reproduce, prepare Derivative Works of,
+      publicly display, publicly perform, sublicense, and distribute the
+      Work and such Derivative Works in Source or Object form.
+
+   3. Grant of Patent License. Subject to the terms and conditions of
+      this License, each Contributor hereby grants to You a perpetual,
+      worldwide, non-exclusive, no-charge, royalty-free, irrevocable
+      (except as stated in this section) patent license to make, have made,
+      use, offer to sell, sell, import, and otherwise transfer the Work,
+      where such license applies only to those patent claims licensable
+      by such Contributor that are necessarily infringed by their
+      Contribution(s) alone or by combination of their Contribution(s)
+      with the Work to which such Contribution(s) was submitted. If You
+      institute patent litigation against any entity (including a
+      cross-claim or counterclaim in a lawsuit) alleging that the Work
+      or a Contribution incorporated within the Work constitutes direct
+      or contributory patent infringement, then any patent licenses
+      granted to You under this License for that Work shall terminate
+      as of the date such litigation is filed.
+
+   4. Redistribution. You may reproduce and distribute copies of the
+      Work or Derivative Works thereof in any medium, with or without
+      modifications, and in Source or Object form, provided that You
+      meet the following conditions:
+
+      (a) You must give any other recipients of the Work or
+          Derivative Works a copy of this License; and
+
+      (b) You must cause any modified files to carry prominent notices
+          stating that You changed the files; and
+
+      (c) You must retain, in the Source form of any Derivative Works
+          that You distribute, all copyright, patent, trademark, and
+          attribution notices from the Source form of the Work,
+          excluding those notices that do not pertain to any part of
+          the Derivative Works; and
+
+      (d) If the Work includes a "NOTICE" text file as part of its
+          distribution, then any Derivative Works that You distribute must
+          include a readable copy of the attribution notices contained
+          within such NOTICE file, excluding those notices that do not
+          pertain to any part of the Derivative Works, in at least one
+          of the following places: within a NOTICE text file distributed
+          as part of the Derivative Works; within the Source form or
+          documentation, if provided along with the Derivative Works; or,
+          within a display generated by the Derivative Works, if and
+          wherever such third-party notices normally appear. The contents
+          of the NOTICE file are for informational purposes only and
+          do not modify the License. You may add Your own attribution
+          notices within Derivative Works that You distribute, alongside
+          or as an addendum to the NOTICE text from the Work, provided
+          that such additional attribution notices cannot be construed
+          as modifying the License.
+
+      You may add Your own copyright statement to Your modifications and
+      may provide additional or different license terms and conditions
+      for use, reproduction, or distribution of Your modifications, or
+      for any such Derivative Works as a whole, provided Your use,
+      reproduction, and distribution of the Work otherwise complies with
+      the conditions stated in this License.
+
+   5. Submission of Contributions. Unless You explicitly state otherwise,
+      any Contribution intentionally submitted for inclusion in the Work
+      by You to the Licensor shall be under the terms and conditions of
+      this License, without any additional terms or conditions.
+      Notwithstanding the above, nothing herein shall supersede or modify
+      the terms of any separate license agreement you may have executed
+      with Licensor regarding such Contributions.
+
+   6. Trademarks. This License does not grant permission to use the trade
+      names, trademarks, service marks, or product names of the Licensor,
+      except as required for reasonable and customary use in describing the
+      origin of the Work and reproducing the content of the NOTICE file.
+
+   7. Disclaimer of Warranty. Unless required by applicable law or
+      agreed to in writing, Licensor provides the Work (and each
+      Contributor provides its Contributions) on an "AS IS" BASIS,
+      WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
+      implied, including, without limitation, any warranties or conditions
+      of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A
+      PARTICULAR PURPOSE. You are solely responsible for determining the
+      appropriateness of using or redistributing the Work and assume any
+      risks associated with Your exercise of permissions under this License.
+
+   8. Limitation of Liability. In no event and under no legal theory,
+      whether in tort (including negligence), contract, or otherwise,
+      unless required by applicable law (such as deliberate and grossly
+      negligent acts) or agreed to in writing, shall any Contributor be
+      liable to You for damages, including any direct, indirect, special,
+      incidental, or consequential damages of any character arising as a
+      result of this License or out of the use or inability to use the
+      Work (including but not limited to damages for loss of goodwill,
+      work stoppage, computer failure or malfunction, or any and all
+      other commercial damages or losses), even if such Contributor
+      has been advised of the possibility of such damages.
+
+   9. Accepting Warranty or Additional Liability. While redistributing
+      the Work or Derivative Works thereof, You may choose to offer,
+      and charge a fee for, acceptance of support, warranty, indemnity,
+      or other liability obligations and/or rights consistent with this
+      License. However, in accepting such obligations, You may act only
+      on Your own behalf and on Your sole responsibility, not on behalf
+      of any other Contributor, and only if You agree to indemnify,
+      defend, and hold each Contributor harmless for any liability
+      incurred by, or claims asserted against, such Contributor by reason
+      of your accepting any such warranty or additional liability.
+
+   END OF TERMS AND CONDITIONS
+
+   APPENDIX: How to apply the Apache License to your work.
+
+      To apply the Apache License to your work, attach the following
+      boilerplate notice, with the fields enclosed by brackets "[]"
+      replaced with your own identifying information. (Don't include
+      the brackets!)  The text should be enclosed in the appropriate
+      comment syntax for the file format. We also recommend that a
+      file or class name and description of purpose be included on the
+      same "printed page" as the copyright notice for easier
+      identification within third-party archives.
+
+   Copyright [yyyy] [name of copyright owner]
+
+   Licensed under the Apache License, Version 2.0 (the "License");
+   you may not use this file except in compliance with the License.
+   You may obtain a copy of the License at
+
+       http://www.apache.org/licenses/LICENSE-2.0
+
+   Unless required by applicable law or agreed to in writing, software
+   distributed under the License is distributed on an "AS IS" BASIS,
+   WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
+   See the License for the specific language governing permissions and
+   limitations under the License.

README.md

+# AnimateDiff
+
+## 论文
+
+**AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without Specific Tuning**
+
+* https://arxiv.org/abs/2307.04725
+
+## 模型结构
+
+$`\mathcal{E}`$（Encoder，用于压缩原始图像），`Base T2I`（文本生成图像模型，如Stable Diffusion），`Motion Modeling Module`（运动模型模块），`Personalized T2I`（个性化图像生成模型，如使用DreamBoth训练得到的模型），$`\mathcal{D}`$（Decoder，用于恢复/生成图像）。
+
+![Alt text](readme_imgs/image-1.png)
+
+## 算法原理
+
+用途：概算法可以生成高质量的动画。
+
+原理：
+
+1.网络膨胀
+
+将原始图像模型中的每个2D卷积和注意力层转换为仅空间伪3D层，通过将帧轴重塑为批次轴，使网络能够独立处理每一帧。同时，新插入的运动模块在每个批次中跨帧操作，以实现动画剪辑中的运动平滑性和内容一致性。
+
+![Alt text](readme_imgs/image-2.png)
+
+2.注意力机制
+
+使用原始的时间注意力机制作为运动模块的设计，实现跨帧之间的有效信息交换。
+
+## 环境配置
+
+### Docker（方法一）
+
+    docker pull image.sourcefind.cn:5000/dcu/admin/base/pytorch:1.13.1-centos7.6-dtk-23.04.1-py39-latest
+    docker run --shm-size 10g --network=host --name=animatediff --privileged --device=/dev/kfd --device=/dev/dri --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined -v 项目地址(绝对路径):/home/ -it <your IMAGE ID> bash
+    pip install -r requirements.txt
+
+### Docker（方法二）
+
+    # 需要在对应的目录下
+    docker build -t <IMAGE_NAME>:<TAG> .
+    # <your IMAGE ID>用以上拉取的docker的镜像ID替换
+    docker run -it --shm-size 10g --network=host --name=animatediff --privileged --device=/dev/kfd --device=/dev/dri --group-add video --cap-add=SYS_PTRACE --security-opt seccomp=unconfined <your IMAGE ID> bash
+    pip install -r requirements.txt
+
+### Anaconda (方法三)
+1、关于本项目DCU显卡所需的特殊深度学习库可从光合开发者社区下载安装：
+https://developer.hpccube.com/tool/
+
+    DTK驱动：dtk23.04.1
+    python：python3.9
+    torch:1.13.1
+    torchvision:0.14.1
+    torchaudio:0.13.1
+    deepspeed:0.9.2
+    apex:0.1
+
+Tips：以上dtk驱动、python、torch等DCU相关工具版本需要严格一一对应
+
+2、其它非特殊库参照requirements.txt安装
+
+    pip install -r requirements.txt
+
+
+## 数据集
+
+2.5M - 包含2.5M个数据（prompt-video）
+
+http://www.robots.ox.ac.uk/~maxbain/webvid/results_2M_train.csv
+
+http://www.robots.ox.ac.uk/~maxbain/webvid/results_2M_val.csv
+
+10M - 包含10M个数据（prompt-video）
+
+http://www.robots.ox.ac.uk/~maxbain/webvid/results_10M_train.csv
+
+http://www.robots.ox.ac.uk/~maxbain/webvid/results_10M_val.csv
+
+详情参考： https://github.com/m-bain/webvid
+
+下载完上述`csv`文件后，需要执行`webvid`项目中的`download.py`下载相应的视频文件。
+
+注意：该数据集为训练数据集
+
+## 推理
+
+### 模型下载
+
+https://huggingface.co/guoyww/animatediff/tree/main
+
+https://civitai.com/models/4201?modelVersionId=130072
+
+https://civitai.com/models/30240?modelVersionId=125771
+
+https://huggingface.co/openai/clip-vit-large-patch14/tree/main
+
+    openai/
+    └── clip-vit-large-patch14
+        ├── config.json
+        ├── merges.txt
+        ├── preprocessor_config.json
+        ├── pytorch_model.bin
+        ├── special_tokens_map.json
+        ├── tokenizer_config.json
+        ├── tokenizer.json
+        └── vocab.json
+
+    models/
+    ├── DreamBooth_LoRA
+    │   ├── lyriel_v16.safetensors
+    │   ├── Put personalized T2I checkpoints here.txt
+    │   ├── realisticVisionV51_v51VAE.safetensors
+    │   ├── toonyou_beta3.safetensors
+    │   └── toonyou_beta6.safetensors
+    ├── MotionLoRA
+    │   ├── Put MotionLoRA checkpoints here.txt
+    │   └── v2_lora_ZoomIn.ckpt
+    ├── Motion_Module
+    │   ├── mm_sd_v14.ckpt
+    │   ├── mm_sd_v15.ckpt
+    │   ├── mm_sd_v15_v2.ckpt
+    │   ├── Put motion module checkpoints here.txt
+    │   ├── v3_sd15_adapter.ckpt
+    │   └── v3_sd15_mm.ckpt
+    ├── SparseCtrl
+    │   └── v3_sd15_sparsectrl_rgb.ckpt
+    └── StableDiffusion
+        ├── Put diffusers stable-diffusion-v1-5 repo here.txt
+        └── stable-diffusion-v1-5
+            ├── feature_extractor
+            │   └── preprocessor_config.json
+            ├── model_index.json
+            ├── scheduler
+            │   └── scheduler_config.json
+            ├── text_encoder
+            │   ├── config.json
+            │   └── pytorch_model.bin
+            ├── tokenizer
+            │   ├── merges.txt
+            │   ├── special_tokens_map.json
+            │   ├── tokenizer_config.json
+            │   └── vocab.json
+            ├── unet
+            │   ├── config.json
+            │   └── diffusion_pytorch_model.bin
+            ├── v1-5-pruned.ckpt
+            └── vae
+                ├── config.json
+                └── diffusion_pytorch_model.bin
+
+注意：以上模型并不是必选，仅提供文件结构，可根据需要自行选择部分或其他模型。
+
+### 命令
+
+    python -m scripts.animate --config configs/prompts/v1/v1-1-ToonYou.yaml --without-xformers
+
+    python -m scripts.animate --config configs/prompts/v1/v1-2-Lyriel.yaml --without-xformers
+
+    python -m scripts.animate --config configs/prompts/v2/v2-1-RealisticVision.yaml --without-xformers
+ 
+    python -m scripts.animate --config configs/prompts/v3/v3-1-T2V.yaml --without-xformers
+
+    python -m scripts.animate --config configs/prompts/v3/v3-2-animation-RealisticVision.yaml --without-xformers
+
+注意：以上仅是部分推理示例，可以自行修改或编写`yaml`文件。
+
+## 训练
+
+### 数据结构
+
+    data/
+    └── videos
+        ├── xxx.mp4
+        └── xxx.mp4
+    └── xxx.csv
+
+注意：数据准备完成后需要修改`configs/trainging`中`yaml`文件中数据路径。，如下所示。
+
+    train_data:
+    csv_path:        "data/results_2M_val.csv"
+    video_folder:    "data/videos"
+
+### 微调Unet原始层（image layers）
+
+    torchrun --nnodes=1 --nproc_per_node=1 train.py --config configs/training/v1/image_finetune.yaml
+
+### 训练motion modules
+
+    torchrun --nnodes=1 --nproc_per_node=1 train.py --config configs/training/v1/training.yaml
+
+## result
+
+![Alt text](readme_imgs/sample.gif)
+
+### 精度
+
+无
+
+## 应用场景
+
+### 算法类别
+
+`AIGC`
+
+### 热点应用行业
+
+`媒体,科研,教育`
+
+## 源码仓库及问题反馈
+
+https://developer.hpccube.com/codes/modelzoo/animatediff_pytorch
+
+## 参考资料
+
+* https://github.com/guoyww/AnimateDiff
+
+* https://github.com/m-bain/webvid
\ No newline at end of file