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126 lines
7.3 KiB
Markdown
126 lines
7.3 KiB
Markdown
# DiffSynth Studio
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## Introduction
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DiffSynth Studio is a Diffusion engine. We have restructured architectures including Text Encoder, UNet, VAE, among others, maintaining compatibility with models from the open-source community while enhancing computational performance. We provide many interesting features. Enjoy the magic of Diffusion models!
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## Roadmap
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* Aug 29, 2023. We propose DiffSynth, a video synthesis framework.
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* [Project Page](https://ecnu-cilab.github.io/DiffSynth.github.io/).
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* The source codes are released in [EasyNLP](https://github.com/alibaba/EasyNLP/tree/master/diffusion/DiffSynth).
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* The technical report (ECML PKDD 2024) is released on [arXiv](https://arxiv.org/abs/2308.03463).
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* Oct 1, 2023. We release an early version of this project, namely FastSDXL. A try for building a diffusion engine.
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* The source codes are released on [GitHub](https://github.com/Artiprocher/FastSDXL).
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* FastSDXL includes a trainable OLSS scheduler for efficiency improvement.
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* The original repo of OLSS is [here](https://github.com/alibaba/EasyNLP/tree/master/diffusion/olss_scheduler).
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* The technical report (CIKM 2023) is released on [arXiv](https://arxiv.org/abs/2305.14677).
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* A demo video is shown on [Bilibili](https://www.bilibili.com/video/BV1w8411y7uj).
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* Since OLSS requires additional training, we don't implement it in this project.
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* Nov 15, 2023. We propose FastBlend, a powerful video deflickering algorithm.
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* The sd-webui extension is released on [GitHub](https://github.com/Artiprocher/sd-webui-fastblend).
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* Demo videos are shown on Bilibili, including three tasks.
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* [Video deflickering](https://www.bilibili.com/video/BV1d94y1W7PE)
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* [Video interpolation](https://www.bilibili.com/video/BV1Lw411m71p)
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* [Image-driven video rendering](https://www.bilibili.com/video/BV1RB4y1Z7LF)
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* The technical report is released on [arXiv](https://arxiv.org/abs/2311.09265).
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* An unofficial ComfyUI extension developed by other users is released on [GitHub](https://github.com/AInseven/ComfyUI-fastblend).
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* Dec 8, 2023. We decide to develop a new Project, aiming to release the potential of diffusion models, especially in video synthesis. The development of this project is started.
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* Jan 29, 2024. We propose Diffutoon, a fantastic solution for toon shading.
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* [Project Page](https://ecnu-cilab.github.io/DiffutoonProjectPage/).
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* The source codes are released in this project.
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* The technical report (IJCAI 2024) is released on [arXiv](https://arxiv.org/abs/2401.16224).
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* June 13, 2024. DiffSynth Studio is transfered to ModelScope. The developers have transitioned from "I" to "we". Of course, I will still participate in development and maintenance.
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* June 21, 2024. We propose ExVideo, a post-tuning technique aimed at enhancing the capability of video generation models. We have extended Stable Video Diffusion to achieve the generation of long videos up to 128 frames.
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* [Project Page](https://ecnu-cilab.github.io/ExVideoProjectPage/).
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* Source code is released in this repo. See [`examples/ExVideo`](./examples/ExVideo/).
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* Models are released on [HuggingFace](https://huggingface.co/ECNU-CILab/ExVideo-SVD-128f-v1) and [ModelScope](https://modelscope.cn/models/ECNU-CILab/ExVideo-SVD-128f-v1).
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* Technical report is released on [arXiv](https://arxiv.org/abs/2406.14130).
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* Until now, DiffSynth Studio has supported the following models:
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* [Stable Diffusion](https://huggingface.co/runwayml/stable-diffusion-v1-5)
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* [Stable Diffusion XL](https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0)
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* [ControlNet](https://github.com/lllyasviel/ControlNet)
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* [AnimateDiff](https://github.com/guoyww/animatediff/)
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* [Ip-Adapter](https://github.com/tencent-ailab/IP-Adapter)
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* [ESRGAN](https://github.com/xinntao/ESRGAN)
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* [RIFE](https://github.com/hzwer/ECCV2022-RIFE)
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* [Hunyuan-DiT](https://github.com/Tencent/HunyuanDiT)
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* [Stable Video Diffusion](https://huggingface.co/stabilityai/stable-video-diffusion-img2vid-xt)
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* [ExVideo](https://huggingface.co/ECNU-CILab/ExVideo-SVD-128f-v1)
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## Installation
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Create Python environment:
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```
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conda env create -f environment.yml
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```
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We find that sometimes `conda` cannot install `cupy` correctly, please install it manually. See [this document](https://docs.cupy.dev/en/stable/install.html) for more details.
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Enter the Python environment:
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```
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conda activate DiffSynthStudio
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```
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## Usage (in Python code)
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The Python examples are in [`examples`](./examples/). We provide an overview here.
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### Long Video Synthesis
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We trained an extended video synthesis model, which can generate 128 frames. [`examples/ExVideo`](./examples/ExVideo/)
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https://github.com/modelscope/DiffSynth-Studio/assets/35051019/d97f6aa9-8064-4b5b-9d49-ed6001bb9acc
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### Image Synthesis
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Generate high-resolution images, by breaking the limitation of diffusion models! [`examples/image_synthesis`](./examples/image_synthesis/)
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|512*512|1024*1024|2048*2048|4096*4096|
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|1024*1024|2048*2048|
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### Toon Shading
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Render realistic videos in a flatten style and enable video editing features. [`examples/Diffutoon`](./examples/Diffutoon/)
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https://github.com/Artiprocher/DiffSynth-Studio/assets/35051019/b54c05c5-d747-4709-be5e-b39af82404dd
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https://github.com/Artiprocher/DiffSynth-Studio/assets/35051019/20528af5-5100-474a-8cdc-440b9efdd86c
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### Video Stylization
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Video stylization without video models. [`examples/diffsynth`](./examples/diffsynth/)
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https://github.com/Artiprocher/DiffSynth-Studio/assets/35051019/59fb2f7b-8de0-4481-b79f-0c3a7361a1ea
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### Chinese Models
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Use Hunyuan-DiT to generate images with Chinese prompts. We also support LoRA fine-tuning of this model. [`examples/hunyuan_dit`](./examples/hunyuan_dit/)
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Prompt: 少女手捧鲜花，坐在公园的长椅上，夕阳的余晖洒在少女的脸庞，整个画面充满诗意的美感
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|1024x1024|2048x2048 (highres-fix)|
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Prompt: 一只小狗蹦蹦跳跳，周围是姹紫嫣红的鲜花，远处是山脉
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|Without LoRA|With LoRA|
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## Usage (in WebUI)
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```
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python -m streamlit run DiffSynth_Studio.py
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```
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https://github.com/Artiprocher/DiffSynth-Studio/assets/35051019/93085557-73f3-4eee-a205-9829591ef954
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