Changelog¶

v1.1.0 (22/09/2023)¶

Highlights

In this new version of MMagic, we have added support for the following five new algorithms.

Support ViCo, a new SD personalization method. Click to View

Support AnimateDiff, a popular text2animation method. Click to View

512

Support SDXL. Click to View

Support DragGAN implementation with MMagic. Click to View

Support for FastComposer. Click to View

New Features & Improvements

[Feature] Support inference with diffusers pipeline, sd_xl first. by @liuwenran in https://github.com/open-mmlab/mmagic/pull/2023
[Enhance] add negative prompt for sd inferencer by @liuwenran in https://github.com/open-mmlab/mmagic/pull/2021
[Enhance] Update flake8 checking config in setup.cfg by @LeoXing1996 in https://github.com/open-mmlab/mmagic/pull/2007
[Enhance] Add ‘config_name’ as a supplement to the ‘model_setting’ by @liuwenran in https://github.com/open-mmlab/mmagic/pull/2027
[Enhance] faster test by @okotaku in https://github.com/open-mmlab/mmagic/pull/2034
[Enhance] Add OpenXLab Badge by @ZhaoQiiii in https://github.com/open-mmlab/mmagic/pull/2037

CodeCamp Contributions

[CodeCamp2023-643] Add new configs of BigGAN by @limafang in https://github.com/open-mmlab/mmagic/pull/2003
[CodeCamp2023-648] MMagic new config GuidedDiffusion by @ooooo-create in https://github.com/open-mmlab/mmagic/pull/2005
[CodeCamp2023-649] MMagic new config Instance Colorization by @ooooo-create in https://github.com/open-mmlab/mmagic/pull/2010
[CodeCamp2023-652] MMagic new config StyleGAN3 by @hhy150 in https://github.com/open-mmlab/mmagic/pull/2018
[CodeCamp2023-653] Add new configs of Real BasicVSR by @RangeKing in https://github.com/open-mmlab/mmagic/pull/2030

Bug Fixes

[Fix] Fix best practice and back to contents on mainpage, add new models to model zoo by @liuwenran in https://github.com/open-mmlab/mmagic/pull/2001
[Fix] Check CI error and remove main stream gpu test by @liuwenran in https://github.com/open-mmlab/mmagic/pull/2013
[Fix] Check circle ci memory by @liuwenran in https://github.com/open-mmlab/mmagic/pull/2016
[Fix] remove code and fix clip loss ut test by @liuwenran in https://github.com/open-mmlab/mmagic/pull/2017
[Fix] mock infer in diffusers pipeline inferencer ut. by @liuwenran in https://github.com/open-mmlab/mmagic/pull/2026
[Fix] Fix bug caused by merging draggan by @liuwenran in https://github.com/open-mmlab/mmagic/pull/2029
[Fix] Update QRcode by @crazysteeaam in https://github.com/open-mmlab/mmagic/pull/2009
[Fix] Replace the download links in README with OpenXLab version by @FerryHuang in https://github.com/open-mmlab/mmagic/pull/2038
[Fix] Increase docstring coverage by @liuwenran in https://github.com/open-mmlab/mmagic/pull/2039

New Contributors

@limafang made their first contribution in https://github.com/open-mmlab/mmagic/pull/2003
@ooooo-create made their first contribution in https://github.com/open-mmlab/mmagic/pull/2005
@hhy150 made their first contribution in https://github.com/open-mmlab/mmagic/pull/2018
@ZhaoQiiii made their first contribution in https://github.com/open-mmlab/mmagic/pull/2037
@ElliotQi made their first contribution in https://github.com/open-mmlab/mmagic/pull/1980
@Beaconsyh08 made their first contribution in https://github.com/open-mmlab/mmagic/pull/2012

Full Changelog: https://github.com/open-mmlab/mmagic/compare/v1.0.2…v1.0.3

v1.0.2 (24/08/2023)¶

Highlights

1. More detailed documentation

Thank you to the community contributors for helping us improve the documentation. We have improved many documents, including both Chinese and English versions. Please refer to the documentation for more details.

2. New algorithms

Support Prompt-to-prompt, DDIM Inversion and Null-text Inversion. Click to View.

From right to left: origin image, DDIM inversion, Null-text inversion

Prompt-to-prompt Editing

cat -> dog

spider man -> iron man(attention replace)

Effel tower -> Effel tower at night (attention refine)

blossom sakura tree -> blossom(-3) sakura tree (attention reweight)

Support Textual Inversion. Click to view.

Support Attention Injection for more stable video generation with controlnet. Click to view.
Support Stable Diffusion Inpainting. Click to view.

New Features & Improvements

[Enhancement] Support noise offset in stable diffusion training by @LeoXing1996 in https://github.com/open-mmlab/mmagic/pull/1880
[Community] Support Glide Upsampler by @Taited in https://github.com/open-mmlab/mmagic/pull/1663
[Enhance] support controlnet inferencer by @Z-Fran in https://github.com/open-mmlab/mmagic/pull/1891
[Feature] support Albumentations augmentation transformations and pipeline by @Z-Fran in https://github.com/open-mmlab/mmagic/pull/1894
[Feature] Add Attention Injection for unet by @liuwenran in https://github.com/open-mmlab/mmagic/pull/1895
[Enhance] update benchmark scripts by @Z-Fran in https://github.com/open-mmlab/mmagic/pull/1907
[Enhancement] update mmagic docs by @crazysteeaam in https://github.com/open-mmlab/mmagic/pull/1920
[Enhancement] Support Prompt-to-prompt, ddim inversion and null-text inversion by @FerryHuang in https://github.com/open-mmlab/mmagic/pull/1908
[CodeCamp2023-302] Support MMagic visualization and write a user guide by @aptsunny in https://github.com/open-mmlab/mmagic/pull/1939
[Feature] Support Textual Inversion by @LeoXing1996 in https://github.com/open-mmlab/mmagic/pull/1822
[Feature] Support stable diffusion inpaint by @Taited in https://github.com/open-mmlab/mmagic/pull/1976
[Enhancement] Adopt BaseModule for some models by @LeoXing1996 in https://github.com/open-mmlab/mmagic/pull/1543
[MMSIG]支持 DeblurGANv2 inference by @xiaomile in https://github.com/open-mmlab/mmagic/pull/1955
[CodeCamp2023-647] Add new configs of EG3D by @RangeKing in https://github.com/open-mmlab/mmagic/pull/1985

Bug Fixes

Fix dtype error in StableDiffusion and DreamBooth training by @LeoXing1996 in https://github.com/open-mmlab/mmagic/pull/1879
Fix gui VideoSlider bug by @Z-Fran in https://github.com/open-mmlab/mmagic/pull/1885
Fix init_model and glide demo by @Z-Fran in https://github.com/open-mmlab/mmagic/pull/1888
Fix InstColorization bug when dim=3 by @Z-Fran in https://github.com/open-mmlab/mmagic/pull/1901
Fix sd and controlnet fp16 bugs by @Z-Fran in https://github.com/open-mmlab/mmagic/pull/1914
Fix num_images_per_prompt in controlnet by @LeoXing1996 in https://github.com/open-mmlab/mmagic/pull/1936
Revise metafile for sd-inpainting to fix inferencer init by @LeoXing1996 in https://github.com/open-mmlab/mmagic/pull/1995

New Contributors

@wyyang23 made their first contribution in https://github.com/open-mmlab/mmagic/pull/1886
@yehuixie made their first contribution in https://github.com/open-mmlab/mmagic/pull/1912
@crazysteeaam made their first contribution in https://github.com/open-mmlab/mmagic/pull/1920
@BUPT-NingXinyu made their first contribution in https://github.com/open-mmlab/mmagic/pull/1921
@zhjunqin made their first contribution in https://github.com/open-mmlab/mmagic/pull/1918
@xuesheng1031 made their first contribution in https://github.com/open-mmlab/mmagic/pull/1923
@wslgqq277g made their first contribution in https://github.com/open-mmlab/mmagic/pull/1934
@LYMDLUT made their first contribution in https://github.com/open-mmlab/mmagic/pull/1933
@RangeKing made their first contribution in https://github.com/open-mmlab/mmagic/pull/1930
@xin-li-67 made their first contribution in https://github.com/open-mmlab/mmagic/pull/1932
@chg0901 made their first contribution in https://github.com/open-mmlab/mmagic/pull/1931
@aptsunny made their first contribution in https://github.com/open-mmlab/mmagic/pull/1939
@YanxingLiu made their first contribution in https://github.com/open-mmlab/mmagic/pull/1943
@tackhwa made their first contribution in https://github.com/open-mmlab/mmagic/pull/1937
@Geo-Chou made their first contribution in https://github.com/open-mmlab/mmagic/pull/1940
@qsun1 made their first contribution in https://github.com/open-mmlab/mmagic/pull/1956
@ththth888 made their first contribution in https://github.com/open-mmlab/mmagic/pull/1961
@sijiua made their first contribution in https://github.com/open-mmlab/mmagic/pull/1967
@MING-ZCH made their first contribution in https://github.com/open-mmlab/mmagic/pull/1982
@AllYoung made their first contribution in https://github.com/open-mmlab/mmagic/pull/1996

v1.0.1 (26/05/2023)¶

New Features & Improvements

Support tomesd for StableDiffusion speed-up. #1801
Support all inpainting/matting/image restoration models inferencer. #1833, #1873
Support animated drawings at projects. #1837
Support Style-Based Global Appearance Flow for Virtual Try-On at projects. #1786
Support tokenizer wrapper and support EmbeddingLayerWithFixe. #1846

Bug Fixes

Fix install requirements. #1819
Fix inst-colorization PackInputs. #1828, #1827
Fix inferencer in pip-install. #1875

New Contributors

@XDUWQ made their first contribution in https://github.com/open-mmlab/mmagic/pull/1830
@FerryHuang made their first contribution in https://github.com/open-mmlab/mmagic/pull/1786
@bobo0810 made their first contribution in https://github.com/open-mmlab/mmagic/pull/1851
@jercylew made their first contribution in https://github.com/open-mmlab/mmagic/pull/1874

v1.0.0 (25/04/2023)¶

We are excited to announce the release of MMagic v1.0.0 that inherits from MMEditing and MMGeneration.

mmagic-log

Since its inception, MMEditing has been the preferred algorithm library for many super-resolution, editing, and generation tasks, helping research teams win more than 10 top international competitions and supporting over 100 GitHub ecosystem projects. After iterative updates with OpenMMLab 2.0 framework and merged with MMGeneration, MMEditing has become a powerful tool that supports low-level algorithms based on both GAN and CNN.

Today, MMEditing embraces Generative AI and transforms into a more advanced and comprehensive AIGC toolkit: MMagic (Multimodal Advanced, Generative, and Intelligent Creation).

In MMagic, we have supported 53+ models in multiple tasks such as fine-tuning for stable diffusion, text-to-image, image and video restoration, super-resolution, editing and generation. With excellent training and experiment management support from MMEngine, MMagic will provide more agile and flexible experimental support for researchers and AIGC enthusiasts, and help you on your AIGC exploration journey. With MMagic, experience more magic in generation! Let’s open a new era beyond editing together. More than Editing, Unlock the Magic!

Highlights

1. New Models

We support 11 new models in 4 new tasks.

Text2Image / Diffusion
- ControlNet
- DreamBooth
- Stable Diffusion
- Disco Diffusion
- GLIDE
- Guided Diffusion
3D-aware Generation
- EG3D
Image Restoration
- NAFNet
- Restormer
- SwinIR
Image Colorization
- InstColorization

https://user-images.githubusercontent.com/49083766/233564593-7d3d48ed-e843-4432-b610-35e3d257765c.mp4

2. Magic Diffusion Model

For the Diffusion Model, we provide the following “magic” :

Support image generation based on Stable Diffusion and Disco Diffusion.
Support Finetune methods such as Dreambooth and DreamBooth LoRA.
Support controllability in text-to-image generation using ControlNet.
Support acceleration and optimization strategies based on xFormers to improve training and inference efficiency.
Support video generation based on MultiFrame Render. MMagic supports the generation of long videos in various styles through ControlNet and MultiFrame Render. prompt keywords: a handsome man, silver hair, smiling, play basketball

https://user-images.githubusercontent.com/12782558/227149757-fd054d32-554f-45d5-9f09-319184866d85.mp4

prompt keywords: a girl, black hair, white pants, smiling, play basketball

https://user-images.githubusercontent.com/49083766/233559964-bd5127bd-52f6-44b6-a089-9d7adfbc2430.mp4

prompt keywords: a handsome man

https://user-images.githubusercontent.com/12782558/227152129-d70d5f76-a6fc-4d23-97d1-a94abd08f95a.mp4
Support calling basic models and sampling strategies through DiffuserWrapper.
SAM + MMagic = Generate Anything！ SAM (Segment Anything Model) is a popular model these days and can also provide more support for MMagic! If you want to create your own animation, you can go to OpenMMLab PlayGround.

https://user-images.githubusercontent.com/49083766/233562228-f39fc675-326c-4ae8-986a-c942059effd0.mp4

3. Upgraded Framework

To improve your “spellcasting” efficiency, we have made the following adjustments to the “magic circuit”:

By using MMEngine and MMCV of OpenMMLab 2.0 framework, We decompose the editing framework into different modules and one can easily construct a customized editor framework by combining different modules. We can define the training process just like playing with Legos and provide rich components and strategies. In MMagic, you can complete controls on the training process with different levels of APIs.
Support for 33+ algorithms accelerated by Pytorch 2.0.
Refactor DataSample to support the combination and splitting of batch dimensions.
Refactor DataPreprocessor and unify the data format for various tasks during training and inference.
Refactor MultiValLoop and MultiTestLoop, supporting the evaluation of both generation-type metrics (e.g. FID) and reconstruction-type metrics (e.g. SSIM), and supporting the evaluation of multiple datasets at once.
Support visualization on local files or using tensorboard and wandb.

New Features & Improvements

Support 53+ algorithms, 232+ configs, 213+ checkpoints, 26+ loss functions, and 20+ metrics.
Support controlnet animation and Gradio gui. Click to view.
Support Inferencer and Demo using High-level Inference APIs. Click to view.
Support Gradio gui of Inpainting inference. Click to view.
Support qualitative comparison tools. Click to view.
Enable projects. Click to view.
Improve converters scripts and documents for datasets. Click to view.

v1.0.0rc7 (07/04/2023)¶

Highlights

We are excited to announce the release of MMEditing 1.0.0rc7. This release supports 51+ models, 226+ configs and 212+ checkpoints in MMGeneration and MMEditing. We highlight the following new features

Support DiffuserWrapper
Support ControlNet (training and inference).
Support PyTorch 2.0.

New Features & Improvements

Support DiffuserWrapper. #1692
Support ControlNet (training and inference). #1744
Support PyTorch 2.0 (successfully compile 33+ models on ‘inductor’ backend). #1742
Support Image Super-Resolution and Video Super-Resolution models inferencer. #1662, #1720
Refactor tools/get_flops script. #1675
Refactor dataset_converters and documents for datasets. #1690
Move stylegan ops to MMCV. #1383

Bug Fixes

Fix disco inferencer. #1673
Fix nafnet optimizer config. #1716
Fix tof typo. #1711

Contributors

A total of 8 developers contributed to this release. Thanks @LeoXing1996, @Z-Fran, @plyfager, @zengyh1900, @liuwenran, @ryanxingql, @HAOCHENYE, @VongolaWu

New Contributors

@HAOCHENYE made their first contribution in https://github.com/open-mmlab/mmagic/pull/1712

v1.0.0rc6 (02/03/2023)¶

Highlights

We are excited to announce the release of MMEditing 1.0.0rc6. This release supports 50+ models, 222+ configs and 209+ checkpoints in MMGeneration and MMEditing. We highlight the following new features

Support Gradio gui of Inpainting inference.
Support Colorization, Translationin and GAN models inferencer.

New Features & Improvements

Refactor FileIO. #1572
Refactor registry. #1621
Refactor Random degradations. #1583
Refactor DataSample, DataPreprocessor, Metric and Loop. #1656
Use mmengine.basemodule instead of nn.module. #1491
Refactor Main Page. #1609
Support Gradio gui of Inpainting inference. #1601
Support Colorization inferencer. #1588
Support Translation models inferencer. #1650
Support GAN models inferencer. #1653, #1659
Print config tool. #1590
Improve type hints. #1604
Update Chinese documents of metrics and datasets. #1568, #1638
Update Chinese documents of BigGAN and Disco-Diffusion. #1620
Update Evaluation and README of Guided-Diffusion. #1547

Bug Fixes

Fix the meaning of momentum in EMA. #1581
Fix output dtype of RandomNoise. #1585
Fix pytorch2onnx tool. #1629
Fix API documents. #1641, #1642
Fix loading RealESRGAN EMA weights. #1647
Fix arg passing bug of dataset_converters scripts. #1648

Contributors

A total of 17 developers contributed to this release. Thanks @plyfager, @LeoXing1996, @Z-Fran, @zengyh1900, @VongolaWu, @liuwenran, @austinmw, @dienachtderwelt, @liangzelong, @i-aki-y, @xiaomile, @Li-Qingyun, @vansin, @Luo-Yihang, @ydengbi, @ruoningYu, @triple-Mu

New Contributors

@dienachtderwelt made their first contribution in https://github.com/open-mmlab/mmagic/pull/1578
@i-aki-y made their first contribution in https://github.com/open-mmlab/mmagic/pull/1590
@triple-Mu made their first contribution in https://github.com/open-mmlab/mmagic/pull/1618
@Li-Qingyun made their first contribution in https://github.com/open-mmlab/mmagic/pull/1640
@Luo-Yihang made their first contribution in https://github.com/open-mmlab/mmagic/pull/1648
@ydengbi made their first contribution in https://github.com/open-mmlab/mmagic/pull/1557

v1.0.0rc5 (04/01/2023)¶

Highlights

We are excited to announce the release of MMEditing 1.0.0rc5. This release supports 49+ models, 180+ configs and 177+ checkpoints in MMGeneration and MMEditing. We highlight the following new features

Support Restormer.
Support GLIDE.
Support SwinIR.
Support Stable Diffusion.

New Features & Improvements

Disco notebook. (#1507)
Revise test requirements and CI. (#1514)
Recursive generate summary and docstring. (#1517)
Enable projects. (#1526)
Support mscoco dataset. (#1520)
Improve Chinese documents. (#1532)
Type hints. (#1481)
Update download link of checkpoints. (#1554)
Update deployment guide. (#1551)

Bug Fixes

Fix documentation link checker. (#1522)
Fix ssim first channel bug. (#1515)
Fix extract_gt_data of realesrgan. (#1542)
Fix model index. (#1559)
Fix config path in disco-diffusion. (#1553)
Fix text2image inferencer. (#1523)

Contributors

A total of 16 developers contributed to this release. Thanks @plyfager, @LeoXing1996, @Z-Fran, @zengyh1900, @VongolaWu, @liuwenran, @AlexZou14, @lvhan028, @xiaomile, @ldr426, @austin273, @whu-lee, @willaty, @curiosity654, @Zdafeng, @Taited

New Contributors

@xiaomile made their first contribution in https://github.com/open-mmlab/mmagic/pull/1481
@ldr426 made their first contribution in https://github.com/open-mmlab/mmagic/pull/1542
@austin273 made their first contribution in https://github.com/open-mmlab/mmagic/pull/1553
@whu-lee made their first contribution in https://github.com/open-mmlab/mmagic/pull/1539
@willaty made their first contribution in https://github.com/open-mmlab/mmagic/pull/1541
@curiosity654 made their first contribution in https://github.com/open-mmlab/mmagic/pull/1556
@Zdafeng made their first contribution in https://github.com/open-mmlab/mmagic/pull/1476
@Taited made their first contribution in https://github.com/open-mmlab/mmagic/pull/1534

v1.0.0rc4 (05/12/2022)¶

Highlights

We are excited to announce the release of MMEditing 1.0.0rc4. This release supports 45+ models, 176+ configs and 175+ checkpoints in MMGeneration and MMEditing. We highlight the following new features

Support High-level APIs.
Support diffusion models.
Support Text2Image Task.
Support 3D-Aware Generation.

New Features & Improvements

Refactor High-level APIs. (#1410)
Support disco-diffusion text-2-image. (#1234, #1504)
Support EG3D. (#1482, #1493, #1494, #1499)
Support NAFNet model. (#1369)

Bug Fixes

fix srgan train config. (#1441)
fix cain config. (#1404)
fix rdn and srcnn train configs. (#1392)

Contributors

A total of 14 developers contributed to this release. Thanks @plyfager, @LeoXing1996, @Z-Fran, @zengyh1900, @VongolaWu, @gaoyang07, @ChangjianZhao, @zxczrx123, @jackghosts, @liuwenran, @CCODING04, @RoseZhao929, @shaocongliu, @liangzelong.

New Contributors

@gaoyang07 made their first contribution in https://github.com/open-mmlab/mmagic/pull/1372
@ChangjianZhao made their first contribution in https://github.com/open-mmlab/mmagic/pull/1461
@zxczrx123 made their first contribution in https://github.com/open-mmlab/mmagic/pull/1462
@jackghosts made their first contribution in https://github.com/open-mmlab/mmagic/pull/1463
@liuwenran made their first contribution in https://github.com/open-mmlab/mmagic/pull/1410
@CCODING04 made their first contribution in https://github.com/open-mmlab/mmagic/pull/783
@RoseZhao929 made their first contribution in https://github.com/open-mmlab/mmagic/pull/1474
@shaocongliu made their first contribution in https://github.com/open-mmlab/mmagic/pull/1470
@liangzelong made their first contribution in https://github.com/open-mmlab/mmagic/pull/1488

v1.0.0rc3 (10/11/2022)¶

Highlights

We are excited to announce the release of MMEditing 1.0.0rc3. This release supports 43+ models, 170+ configs and 169+ checkpoints in MMGeneration and MMEditing. We highlight the following new features

convert mmdet and clip to optional requirements.

New Features & Improvements

Support try_import for mmdet. (#1408)
Support try_import for flip. (#1420)
Update .gitignore. ($1416)
Set real_feat to cpu in inception_utils. (#1415)
Modify README and configs of StyleGAN2 and PEGAN (#1418)
Improve the rendering of Docs-API (#1373)

Bug Fixes

Revise config and pretrain model loading in ESRGAN (#1407)
Revise config of LSGAN (#1409)
Revise config of CAIN (#1404)

Contributors

A total of 5 developers contributed to this release. @Z-Fran, @zengyh1900, @plyfager, @LeoXing1996, @ruoningYu.

v1.0.0rc2 (02/11/2022)¶

Highlights

We are excited to announce the release of MMEditing 1.0.0rc2. This release supports 43+ models, 170+ configs and 169+ checkpoints in MMGeneration and MMEditing. We highlight the following new features

patch-based and slider-based image and video comparison viewer.
image colorization.

New Features & Improvements

Support qualitative comparison tools. (#1303)
Support instance aware colorization. (#1370)
Support multi-metrics with different sample-model. (#1171)
Improve the implementation
- refactoring evaluation metrics. (#1164)
- Save gt images in PGGAN’s forward. (#1332)
- Improve type and change default number of preprocess_div2k_dataset.py. (#1380)
- Support pixel value clip in visualizer. (#1365)
- Support SinGAN Dataset and SinGAN demo. (#1363)
- Avoid cast int and float in GenDataPreprocessor. (#1385)
Improve the documentation
- Update a menu switcher. (#1162)
- Fix TTSR’s README. (#1325)

Bug Fixes

Fix PPL bug. (#1172)
Fix RDN number of channels. (#1328)
Fix types of exceptions in demos. (#1372)
Fix realesrgan ema. (#1341)
Improve the assertion to ensuer GenerateFacialHeatmap as np.float32. (#1310)
Fix sampling behavior of unpaired_dataset.py and urls in cyclegan’s README. (#1308)
Fix vsr models in pytorch2onnx. (#1300)
Fix incorrect settings in configs. (#1167,#1200,#1236,#1293,#1302,#1304,#1319,#1331,#1336,#1349,#1352,#1353,#1358,#1364,#1367,#1384,#1386,#1391,#1392,#1393)

New Contributors

@gaoyang07 made their first contribution in https://github.com/open-mmlab/mmagic/pull/1372

Contributors

A total of 7 developers contributed to this release. Thanks @LeoXing1996, @Z-Fran, @zengyh1900, @plyfager, @ryanxingql, @ruoningYu, @gaoyang07.

v1.0.0rc1(23/9/2022)¶

MMEditing 1.0.0rc1 has merged MMGeneration 1.x.

Support 42+ algorithms, 169+ configs and 168+ checkpoints.
Support 26+ loss functions, 20+ metrics.
Support tensorboard, wandb.
Support unconditional GANs, conditional GANs, image2image translation and internal learning.

v1.0.0rc0(31/8/2022)¶

MMEditing 1.0.0rc0 is the first version of MMEditing 1.x, a part of the OpenMMLab 2.0 projects.

Built upon the new training engine, MMEditing 1.x unifies the interfaces of dataset, models, evaluation, and visualization.

And there are some BC-breaking changes. Please check the migration tutorial for more details.