animate-lightning

.gitignore

+*pyc*
+ComfyUI/

Dockerfile

+FROM image.sourcefind.cn:5000/dcu/admin/base/dtk:23.10-ubuntu20.04-py310
\ No newline at end of file

LICENSE.md

+Copyright (c) 2024 Bytedance Inc.
+
+CreativeML Open RAIL-M
+dated March 19, 2024
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+Attachment A
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+Use Restrictions
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\ No newline at end of file

README.md

+# AnimateDiff-Lightning
+
+## 论文
+
+**AnimateDiff-Lightning: Cross-Model Diffusion Distillation**
+
+* https://arxiv.org/abs/2403.12706
+
+## 模型结构
+
+模型由多个不同的基础`AnimateDiff`模型组成（不同`stable diffusion`模型），其中`motion module`为可训练的共享模块，`Base module`为不可训练的独立模块。
+
+![alt text](readme_imgs/image-1.png)
+
+
+## 算法原理
+
+该算法为蒸馏`distillation`算法，通过渐进式的蒸馏方式，将`Teacher`（教师模型）的知识（能力）转移至`Student`（学生模型），同时使用了对抗蒸馏的方法对采样质量和模型收敛性进行了平衡。
+
+![alt text](readme_imgs/image-2.png)
+
+
+## 环境配置
+
+### Docker（方法一）
+
+    docker pull image.sourcefind.cn:5000/dcu/admin/base/dtk:23.10-ubuntu20.04-py310
+
+    docker run --shm-size 10g --network=host --name=ad_lightning --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/ -v /opt/hyhal:/opt/hyhal:ro -it <your IMAGE ID> bash
+
+    pip install torch-2.1.0a0%2Bgit793d2b5.abi0.dtk2310-cp310-cp310-manylinux2014_x86_64.whl  (whl.zip文件中)
+
+    pip install torchvision-0.16.0+git267eff6.abi0.dtk2310.torch2.1.0-cp310-cp310-linux_x86_64.whl  (whl.zip文件中)
+
+    cd xformers && pip install xformers==0.0.23 --no-deps && bash patch_xformers.rocm.sh  （whl.zip文件中）
+
+    pip install -r requirements.txt
+
+    git clone https://github.com/comfyanonymous/ComfyUI.git 
+
+    cd ComfyUI
+
+    pip install -r requirements.txt
+
+    cd custom_nodes && git clone https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved && git clone https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite && git clone https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet && git clone https://github.com/Fannovel16/comfyui_controlnet_aux
+
+    apt-get update && apt-get install ffmpeg
+
+
+注意：所有github库都可手动下载并放入相应的位置。
+
+
+### Dockerfile（方法二）
+
+    # 需要在对应的目录下
+    docker build -t <IMAGE_NAME>:<TAG> .
+
+    docker run --shm-size 10g --network=host --name=ad_lightning --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/ -v /opt/hyhal:/opt/hyhal:ro -it <your IMAGE ID> bash
+
+    pip install torch-2.1.0a0%2Bgit793d2b5.abi0.dtk2310-cp310-cp310-manylinux2014_x86_64.whl  (whl.zip文件中)
+
+    pip install torchvision-0.16.0+git267eff6.abi0.dtk2310.torch2.1.0-cp310-cp310-linux_x86_64.whl  (whl.zip文件中)
+
+    pip install -r requirements.txt
+
+    git clone https://github.com/comfyanonymous/ComfyUI.git 
+
+    cd ComfyUI
+
+    pip install -r requirements.txt
+
+    cd custom_nodes && git clone https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved && git clone https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite && git clone https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet && git clone https://github.com/Fannovel16/comfyui_controlnet_aux
+
+    apt-get update && apt-get install ffmpeg
+
+
+注意：所有github库都可手动下载并放入相应的位置。
+
+
+### 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：dtk23.10.1
+    python：python3.10
+    torch:2.1.0
+    torchvision:0.16.0
+
+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 torch-2.1.0a0%2Bgit793d2b5.abi0.dtk2310-cp310-cp310-manylinux2014_x86_64.whl  (whl.zip文件中)
+
+    pip install torchvision-0.16.0+git267eff6.abi0.dtk2310.torch2.1.0-cp310-cp310-linux_x86_64.whl  (whl.zip文件中)
+
+    pip install -r requirements.txt
+
+    git clone https://github.com/comfyanonymous/ComfyUI.git 
+
+    cd ComfyUI
+
+    pip install -r requirements.txt
+
+    cd custom_nodes && git clone https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved && git clone https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite && git clone https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet && git clone https://github.com/Fannovel16/comfyui_controlnet_aux
+
+    conda install -c conda-forge ffmpeg
+    
+
+## 数据集
+
+无
+
+## 推理
+
+### 模型下载
+
+https://huggingface.co/ByteDance/AnimateDiff-Lightning/tree/main
+
+|名称+url|save_path|类型|
+|:---|:---|:---|
+|[1step](https://huggingface.co/ByteDance/AnimateDiff-Lightning/blob/main/animatediff_lightning_1step_comfyui.safetensors)|ComfyUI/custom_nodes/ComfyUI-AnimateDiff-Evolved/models/|运动模块|
+|[2step](https://huggingface.co/ByteDance/AnimateDiff-Lightning/blob/main/animatediff_lightning_2step_comfyui.safetensors)|ComfyUI/custom_nodes/ComfyUI-AnimateDiff-Evolved/models/|运动模块|
+|[4step](https://huggingface.co/ByteDance/AnimateDiff-Lightning/blob/main/animatediff_lightning_4step_comfyui.safetensors)|ComfyUI/custom_nodes/ComfyUI-AnimateDiff-Evolved/models/|运动模块|
+|[8step](https://huggingface.co/ByteDance/AnimateDiff-Lightning/blob/main/animatediff_lightning_8step_comfyui.safetensors)|ComfyUI/custom_nodes/ComfyUI-AnimateDiff-Evolved/models/|运动模块|
+|[emilianJR/epiCRealism](https://civitai.com/models/25694/epicrealism)|ComfyUI/models/checkpoints|基础模型|
+|[XXMix_9realistic](https://civitai.com/models/47274/xxmix9realistic?modelVersionId=102222)|ComfyUI/models/checkpoints|基础模型|
+
+以上模型可以按需下载，并放入相应的路径。这里仅列出部分基础模型，可以下载其他模型（sd1.5）使用，运动模块选择一个即可。
+
+除了手动下载这些模型并在`ComfyUI`中使用，也可以使用`diffuser`自动下载并以代码的方式调用。
+
+注意：可以使用`https://hf-mirror.com`加速下载相应的模型权重。
+
+
+### 命令行
+
+    # export HF_ENDPOINT=https://hf-mirror.com （按需）
+
+    # 快速测试
+    python scripts/quick_inference.py --step [1 2 4 8] --prompt <your prompt>
+
+### ComfyUI（建议）
+
+    cd ComfyUI
+
+    HIP_VISIBLE_DEVICES=0 python main.py --listen=0.0.0.0 --port=12341
+
+注意：关于ComfyUI的使用方法需自行学习，`comfyui_workflow`中提供了示例工作流，可在UI界面中加载使用。
+
+## result
+
+prompt: Red hair girl, red eyes, long hair, childish, white clothes, in a green grass field with a blue cloud sky, anime style, cute, smiling
+
+seed: 99999
+
+base model: Ether Real Mix
+
+
+|||1step|2step|4step|8step|
+|:---:|:---:|:---:|:---:|:---:|:---:|
+|time||<1s|2s|6s|14s|
+|结果||![alt text](readme_imgs/AnimateDiff_00023.gif)|![alt text](readme_imgs/AnimateDiff_00024.gif)|![alt text](readme_imgs/AnimateDiff_00020.gif)|![alt text](readme_imgs/AnimateDiff_00022.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-lightning_pytorch
+
+## 参考资料
+
+* https://huggingface.co/ByteDance/AnimateDiff-Lightning

README_official.md

+---
+license: creativeml-openrail-m
+tags:
+- text-to-video
+- stable-diffusion
+- animatediff
+library_name: diffusers
+inference: false
+---
+# AnimateDiff-Lightning
+
+<video src='https://huggingface.co/ByteDance/AnimateDiff-Lightning/resolve/main/animatediff_lightning_samples_t2v.mp4' width="100%" autoplay muted loop style='margin:0'></video>
+<video src='https://huggingface.co/ByteDance/AnimateDiff-Lightning/resolve/main/animatediff_lightning_samples_v2v.mp4' width="100%" autoplay muted loop style='margin:0'></video>
+
+AnimateDiff-Lightning is a lightning-fast text-to-video generation model. It can generate videos more than ten times faster than the original AnimateDiff. For more information, please refer to our research paper: [AnimateDiff-Lightning: Cross-Model Diffusion Distillation](https://arxiv.org/abs/2403.12706). We release the model as part of the research.
+
+Our models are distilled from [AnimateDiff SD1.5 v2](https://huggingface.co/guoyww/animatediff). This repository contains checkpoints for 1-step, 2-step, 4-step, and 8-step distilled models. The generation quality of our 2-step, 4-step, and 8-step model is great. Our 1-step model is only provided for research purposes.
+
+
+## Demo
+
+Try AnimateDiff-Lightning using our text-to-video generation [demo](https://huggingface.co/spaces/ByteDance/AnimateDiff-Lightning).
+
+
+## Recommendation
+
+AnimateDiff-Lightning produces the best results when used with stylized base models. We recommend using the following base models:
+
+Realistic
+- [epiCRealism](https://civitai.com/models/25694)
+- [Realistic Vision](https://civitai.com/models/4201)
+- [DreamShaper](https://civitai.com/models/4384)
+- [AbsoluteReality](https://civitai.com/models/81458)
+- [MajicMix Realistic](https://civitai.com/models/43331)
+
+Anime & Cartoon
+- [ToonYou](https://civitai.com/models/30240)
+- [IMP](https://civitai.com/models/56680)
+- [Mistoon Anime](https://civitai.com/models/24149)
+- [DynaVision](https://civitai.com/models/75549)
+- [RCNZ Cartoon 3d](https://civitai.com/models/66347)
+- [MajicMix Reverie](https://civitai.com/models/65055)
+
+Additionally, feel free to explore different settings. We find using 3 inference steps on the 2-step model produces great results. We find certain base models produces better results with CFG. We also recommend using [Motion LoRAs](https://huggingface.co/guoyww/animatediff/tree/main) as they produce stronger motion. We use Motion LoRAs with strength 0.7~0.8 to avoid watermark.
+
+## Diffusers Usage
+
+```python
+import torch
+from diffusers import AnimateDiffPipeline, MotionAdapter, EulerDiscreteScheduler
+from diffusers.utils import export_to_gif
+from huggingface_hub import hf_hub_download
+from safetensors.torch import load_file
+
+device = "cuda"
+dtype = torch.float16
+
+step = 4  # Options: [1,2,4,8]
+repo = "ByteDance/AnimateDiff-Lightning"
+ckpt = f"animatediff_lightning_{step}step_diffusers.safetensors"
+base = "emilianJR/epiCRealism"  # Choose to your favorite base model.
+
+adapter = MotionAdapter().to(device, dtype)
+adapter.load_state_dict(load_file(hf_hub_download(repo ,ckpt), device=device))
+pipe = AnimateDiffPipeline.from_pretrained(base, motion_adapter=adapter, torch_dtype=dtype).to(device)
+pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing", beta_schedule="linear")
+
+output = pipe(prompt="A girl smiling", guidance_scale=1.0, num_inference_steps=step)
+export_to_gif(output.frames[0], "animation.gif")
+```
+
+## ComfyUI Usage
+
+1. Download [animatediff_lightning_workflow.json](https://huggingface.co/ByteDance/AnimateDiff-Lightning/raw/main/comfyui/animatediff_lightning_workflow.json) and import it in ComfyUI.
+1. Install nodes. You can install them manually or use [ComfyUI-Manager](https://github.com/ltdrdata/ComfyUI-Manager).
+    * [ComfyUI-AnimateDiff-Evolved](https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved)
+    * [ComfyUI-VideoHelperSuite](https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite)
+1. Download your favorite base model checkpoint and put them under `/models/checkpoints/`
+1. Download AnimateDiff-Lightning checkpoint `animatediff_lightning_Nstep_comfyui.safetensors` and put them under `/custom_nodes/ComfyUI-AnimateDiff-Evolved/models/`
+
+
+![ComfyUI Workflow](https://huggingface.co/ByteDance/AnimateDiff-Lightning/resolve/main/comfyui/animatediff_lightning_workflow.jpg)
+
+
+## Video-to-Video Generation
+
+AnimateDiff-Lightning is great for video-to-video generation. We provide the simplist comfyui workflow using ControlNet.
+
+1. Download [animatediff_lightning_v2v_openpose_workflow.json](https://huggingface.co/ByteDance/AnimateDiff-Lightning/raw/main/comfyui/animatediff_lightning_v2v_openpose_workflow.json) and import it in ComfyUI.
+1. Install nodes. You can install them manually or use [ComfyUI-Manager](https://github.com/ltdrdata/ComfyUI-Manager).
+    * [ComfyUI-AnimateDiff-Evolved](https://github.com/Kosinkadink/ComfyUI-AnimateDiff-Evolved)
+    * [ComfyUI-VideoHelperSuite](https://github.com/Kosinkadink/ComfyUI-VideoHelperSuite)
+    * [ComfyUI-Advanced-ControlNet](https://github.com/Kosinkadink/ComfyUI-Advanced-ControlNet)
+    * [comfyui_controlnet_aux](https://github.com/Fannovel16/comfyui_controlnet_aux)
+1. Download your favorite base model checkpoint and put them under `/models/checkpoints/`
+1. Download AnimateDiff-Lightning checkpoint `animatediff_lightning_Nstep_comfyui.safetensors` and put them under `/custom_nodes/ComfyUI-AnimateDiff-Evolved/models/`
+1. Download [ControlNet OpenPose](https://huggingface.co/lllyasviel/ControlNet-v1-1/tree/main) `control_v11p_sd15_openpose.pth` checkpoint to `/models/controlnet/`
+1. Upload your video and run the pipeline.
+
+Additional notes:
+
+1. Video shouldn't be too long or too high resolution. We used 576x1024 8 second 30fps videos for testing.
+1. Set the frame rate to match your input video. This allows audio to match with the output video.
+1. DWPose will download checkpoint itself on its first run.
+1. DWPose may get stuck in UI, but the pipeline is actually still running in the background. Check ComfyUI log and your output folder.
+
+![ComfyUI OpenPose Workflow](https://huggingface.co/ByteDance/AnimateDiff-Lightning/resolve/main/comfyui/animatediff_lightning_v2v_openpose_workflow.jpg)
+
+# Cite Our Work
+```
+@misc{lin2024animatedifflightning,
+      title={AnimateDiff-Lightning: Cross-Model Diffusion Distillation}, 
+      author={Shanchuan Lin and Xiao Yang},
+      year={2024},
+      eprint={2403.12706},
+      archivePrefix={arXiv},
+      primaryClass={cs.CV}
+}
+```
\ No newline at end of file

comfyui_workflow/comfyui_animatediff_lightning_v2v_openpose_workflow.json

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+  "last_node_id": 35,
+  "last_link_id": 58,
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+      ],
+      "size": {
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+        "1": 58
+      },
+      "flags": {},
+      "order": 0,
+      "mode": 0,
+      "outputs": [
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+          "name": "CONTROL_NET",
+          "type": "CONTROL_NET",
+          "links": [
+            32
+          ],
+          "shape": 3,
+          "slot_index": 0
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "ControlNetLoader"
+      },
+      "widgets_values": [
+        "control_v11p_sd15_openpose.pth"
+      ]
+    },
+    {
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+      "size": {
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+      },
+      "flags": {},
+      "order": 1,
+      "mode": 0,
+      "outputs": [
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+          "type": "MODEL",
+          "links": [
+            35
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "CLIP",
+          "type": "CLIP",
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+            26,
+            27
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+          "shape": 3,
+          "slot_index": 1
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+        {
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+          "shape": 3,
+          "slot_index": 2
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "CheckpointLoaderSimple"
+      },
+      "widgets_values": [
+        "toonyou_beta6.safetensors"
+      ]
+    },
+    {
+      "id": 21,
+      "type": "CLIPTextEncode",
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+        360
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+      "order": 7,
+      "mode": 0,
+      "inputs": [
+        {
+          "name": "clip",
+          "type": "CLIP",
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+      ],
+      "outputs": [
+        {
+          "name": "CONDITIONING",
+          "type": "CONDITIONING",
+          "links": [
+            31
+          ],
+          "shape": 3,
+          "slot_index": 0
+        }
+      ],
+      "properties": {
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+      },
+      "widgets_values": [
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+    {
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+        },
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+          "type": "IMAGE",
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+        },
+        {
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+          "type": "MASK",
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+        {
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+          "type": "TIMESTEP_KEYFRAME",
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+          "type": "CONTROL_NET_WEIGHTS",
+          "link": null
+        },
+        {
+          "name": "model_optional",
+          "type": "MODEL",
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+      ],
+      "outputs": [
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+          ],
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+        },
+        {
+          "name": "latent_image",
+          "type": "LATENT",
+          "link": 56
+        }
+      ],
+      "outputs": [
+        {
+          "name": "LATENT",
+          "type": "LATENT",
+          "links": [
+            44
+          ],
+          "shape": 3,
+          "slot_index": 0
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+          "type": "IMAGE",
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+        {
+          "name": "audio",
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+        },
+        {
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+      ],
+      "outputs": [
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+          "type": "CONDITIONING",
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+          ],
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+        },
+        {
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+          "type": "AD_SETTINGS",
+          "link": null
+        },
+        {
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+          "type": "SAMPLE_SETTINGS",
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+        },
+        {
+          "name": "effect_multival",
+          "type": "MULTIVAL",
+          "link": null
+        }
+      ],
+      "outputs": [
+        {
+          "name": "MODEL",
+          "type": "MODEL",
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+            36
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+          "type": "INT",
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+          "widget": {
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+          }
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+          "type": "SAMPLE_SETTINGS",
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+            58
+          ],
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+      "mode": 0,
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+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE_GEN_WIDTH (INT)",
+          "type": "INT",
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+          ],
+          "shape": 3,
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+      ],
+      "properties": {
+        "Node name for S&R": "ImageGenResolutionFromImage"
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+    },
+    {
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+      "type": "DWPreprocessor",
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+      "mode": 0,
+      "inputs": [
+        {
+          "name": "image",
+          "type": "IMAGE",
+          "link": 21
+        }
+      ],
+      "outputs": [
+        {
+          "name": "IMAGE",
+          "type": "IMAGE",
+          "links": [
+            23
+          ],
+          "shape": 3,
+          "slot_index": 0
+        },
+        {
+          "name": "POSE_KEYPOINT",
+          "type": "POSE_KEYPOINT",
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+          "shape": 3
+        }
+      ],
+      "properties": {
+        "Node name for S&R": "DWPreprocessor"
+      },
+      "widgets_values": [
+        "enable",
+        "enable",
+        "enable",
+        256,
+        "yolox_l.onnx",
+        "dw-ll_ucoco.onnx"
+      ]
+    },
+    {
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+        },
+        {
+          "name": "audio",
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+        },
+        {
+          "name": "batch_manager",
+          "type": "VHS_BatchManager",
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+        },
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+          "type": "INT",
+          "link": 49,
+          "widget": {
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\ No newline at end of file

comfyui_workflow/comfyui_animatediff_lightning_workflow.json

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\ No newline at end of file

model.properties

+# 模型唯一标识
+modelCode = 592
+# 模型名称
+modelName = animatediff-lightning_pytorch
+# 模型描述
+modelDescription = animatediff-lightning可以将文本转为动图。
+# 应用场景
+appScenario = 推理,AIGC,媒体,科研,教育
+# 框架类型
+frameType = pytorch

requirements.txt

+diffusers
+huggingface_hub
+safetensors
+transformers
+accelerate
+opencv-python
+imageio_ffmpeg
\ No newline at end of file

scripts/quick_inference.py

+import torch
+from diffusers import AnimateDiffPipeline, MotionAdapter, EulerDiscreteScheduler
+from diffusers.utils import export_to_gif
+from huggingface_hub import hf_hub_download
+from safetensors.torch import load_file
+
+
+def inference(step,
+              base="emilianJR/epiCRealism",
+              prompt="A girl smiling"):
+    
+    device = "cuda"
+    dtype = torch.float16
+
+    # step = 4  # Options: [1,2,4,8]
+    repo = "ByteDance/AnimateDiff-Lightning"
+    ckpt = f"animatediff_lightning_{step}step_diffusers.safetensors"
+    # base = "emilianJR/epiCRealism"  # Choose to your favorite base model.
+    
+    adapter = MotionAdapter().to(device, dtype)
+    adapter.load_state_dict(load_file(hf_hub_download(repo, ckpt), device=device))
+    pipe = AnimateDiffPipeline.from_pretrained(base, motion_adapter=adapter, torch_dtype=dtype).to(device)
+    pipe.scheduler = EulerDiscreteScheduler.from_config(pipe.scheduler.config, timestep_spacing="trailing", beta_schedule="linear")
+
+    output = pipe(prompt=prompt, guidance_scale=1.0, num_inference_steps=step)
+    export_to_gif(output.frames[0], "animation.gif")
+
+
+if __name__ == "__main__":
+    import argparse
+    
+    parser = argparse.ArgumentParser()
+    
+    parser.add_argument("--step", type=int, choices=[1,2,4,8], default=4)
+    
+    parser.add_argument("--base", type=str, default="emilianJR/epiCRealism")
+    
+    parser.add_argument("--prompt", type=str, default="A girl smiling")
+    
+    args = parser.parse_args()
+    
+    inference(args.step, args.base, args.prompt)
+    
+    
\ No newline at end of file