Spaces:
Running
on
Zero
Running
on
Zero
Merge branch 'main' of https://huggingface.co/spaces/TIGER-Lab/GenAI-Arena
Browse files- arena_elo/results/20240525/clean_battle_image_editing.json +0 -0
- arena_elo/results/20240525/clean_battle_t2i_generation.json +0 -0
- arena_elo/results/20240525/elo_results_image_editing.pkl +3 -0
- arena_elo/results/20240525/elo_results_t2i_generation.pkl +3 -0
- arena_elo/results/20240525/image_editing_leaderboard.csv +10 -0
- arena_elo/results/20240525/t2i_generation_leaderboard.csv +12 -0
- arena_elo/results/latest/clean_battle_image_editing.json +3144 -0
- arena_elo/results/latest/clean_battle_t2i_generation.json +3800 -0
- arena_elo/results/latest/elo_results_image_editing.pkl +2 -2
- arena_elo/results/latest/elo_results_t2i_generation.pkl +2 -2
- arena_elo/results/latest/image_editing_leaderboard.csv +9 -9
- arena_elo/results/latest/t2i_generation_leaderboard.csv +11 -11
- model/fetch_museum_results/__init__.py +34 -1
- model/fetch_museum_results/imagen_museum/__init__.py +4 -0
- model/model_manager.py +22 -5
- requirements.txt +2 -0
- serve/gradio_web_video_generation.py +46 -0
- serve/vote_utils.py +175 -1
arena_elo/results/20240525/clean_battle_image_editing.json
ADDED
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arena_elo/results/20240525/clean_battle_t2i_generation.json
ADDED
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arena_elo/results/20240525/elo_results_image_editing.pkl
ADDED
|
@@ -0,0 +1,3 @@
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| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
+
oid sha256:a90694074e1b68a62bd75cdf0c81eb545dfcc115da34e9efdb215d668bd13196
|
| 3 |
+
size 62502
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arena_elo/results/20240525/elo_results_t2i_generation.pkl
ADDED
|
@@ -0,0 +1,3 @@
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7172486b8454e25f9b3a9df84e55d2dcce923a3b63e091fd8d165b63bbde7bc4
|
| 3 |
+
size 68170
|
arena_elo/results/20240525/image_editing_leaderboard.csv
ADDED
|
@@ -0,0 +1,10 @@
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|
| 1 |
+
key,Model,Arena Elo rating (anony),Arena Elo rating (full),License,Organization,Link
|
| 2 |
+
MagicBrush,MagicBrush,1104.9607793254968,1108.3641351499255,CC-BY-4.0,"The Ohio State University, University of Waterloo",https://osu-nlp-group.github.io/MagicBrush
|
| 3 |
+
CosXLEdit,CosXLEdit,1082.1149733184666,1082.6518457302682,cosxl-nc-community,Stability AI,https://huggingface.co/spaces/multimodalart/cosxl
|
| 4 |
+
InfEdit,InfEdit,1044.3184923378735,1048.265511270266,Apache-2.0,"University of Michigan, University of California, Berkeley",https://huggingface.co/spaces/sled-umich/InfEdit
|
| 5 |
+
InstructPix2Pix,InstructPix2Pix,1038.4196348911762,1033.9384244494888,"Copyright 2023 Timothy Brooks, Aleksander Holynski, Alexei A. Efros","University of California, Berkeley",https://www.timothybrooks.com/instruct-pix2pix
|
| 6 |
+
Prompt2prompt,Prompt2prompt,1008.6680807257849,1009.6489502670348,Apache-2.0,"Google, Tel Aviv University",https://prompt-to-prompt.github.io
|
| 7 |
+
PNP,PNP,996.2773547131053,1006.4720172502705,-,Weizmann Institute of Science,https://github.com/MichalGeyer/plug-and-play
|
| 8 |
+
SDEdit,SDEdit,922.8193215180083,920.654664379804,MIT License,Stanford University,https://sde-image-editing.github.io
|
| 9 |
+
CycleDiffusion,CycleDiffusion,921.2482813177639,911.3052609726248,X11,Carnegie Mellon University,https://github.com/ChenWu98/cycle-diffusion
|
| 10 |
+
Pix2PixZero,Pix2PixZero,881.1730818523246,878.6991905303175,MIT License,"Carnegie Mellon University, Adobe Research",https://pix2pixzero.github.io
|
arena_elo/results/20240525/t2i_generation_leaderboard.csv
ADDED
|
@@ -0,0 +1,12 @@
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|
| 1 |
+
key,Model,Arena Elo rating (anony),Arena Elo rating (full),License,Organization,Link
|
| 2 |
+
PlayGround V2.5,PlayGround V2.5,1140.4931116583339,1084.2088555290354,Playground v2.5 Community License,Playground,https://huggingface.co/playgroundai/playground-v2.5-1024px-aesthetic
|
| 3 |
+
PlayGround V2,PlayGround V2,1098.7388948915252,1040.0265968382582,Playground v2 Community License,Playground,https://huggingface.co/playgroundai/playground-v2-1024px-aesthetic
|
| 4 |
+
SDXLLightning,SDXLLightning,1066.3011205806156,1008.6669754414712,openrail++,ByteDance,https://huggingface.co/ByteDance/SDXL-Lightning
|
| 5 |
+
StableCascade,StableCascade,1055.3876736984168,996.1397647071996,stable-cascade-nc-community (other),Stability AI,https://huggingface.co/stabilityai/stable-cascade
|
| 6 |
+
PixArtSigma,PixArtSigma,1053.6017437756345,992.1932737107034,openrail++,PixArt-alpha,https://fal.ai/models/fal-ai/pixart-sigma
|
| 7 |
+
PixArtAlpha,PixArtAlpha,1052.587961133323,980.7401960586495,openrail++,PixArt-alpha,https://huggingface.co/PixArt-alpha/PixArt-XL-2-1024-MS
|
| 8 |
+
SDXL,SDXL,997.5178756677587,938.0490630458108,openrail++,Stability AI,https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0
|
| 9 |
+
LCM(v1.5/XL),LCM(v1.5/XL),932.5384181723202,867.2098600891867,openrail++,Latent Consistency,https://fal.ai/models/fal-ai/fast-lcm-diffusion/api
|
| 10 |
+
SDXLTurbo,SDXLTurbo,931.9053470850187,871.7597877802655,sai-nc-community (other),Stability AI,https://huggingface.co/stabilityai/sdxl-turbo
|
| 11 |
+
OpenJourney,OpenJourney,854.5381628850578,789.57778153393,creativeml-openrail-m,PromptHero,https://huggingface.co/prompthero/openjourney
|
| 12 |
+
LCM,LCM,816.3896904519953,770.4870944721403,MIT License,Tsinghua University,https://huggingface.co/SimianLuo/LCM_Dreamshaper_v7
|
arena_elo/results/latest/clean_battle_image_editing.json
CHANGED
|
@@ -1574,5 +1574,3149 @@
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|
| 1574 |
"judge": "arena_user_10.16.41.118",
|
| 1575 |
"anony": true,
|
| 1576 |
"tstamp": 1715913098.6617
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|
| 1577 |
}
|
| 1578 |
]
|
|
|
|
| 1574 |
"judge": "arena_user_10.16.41.118",
|
| 1575 |
"anony": true,
|
| 1576 |
"tstamp": 1715913098.6617
|
| 1577 |
+
},
|
| 1578 |
+
{
|
| 1579 |
+
"model_a": "CosXLEdit",
|
| 1580 |
+
"model_b": "Pix2PixZero",
|
| 1581 |
+
"winner": "model_a",
|
| 1582 |
+
"judge": "arena_user_10.16.9.183",
|
| 1583 |
+
"anony": true,
|
| 1584 |
+
"tstamp": 1716541099.5281
|
| 1585 |
+
},
|
| 1586 |
+
{
|
| 1587 |
+
"model_a": "SDEdit",
|
| 1588 |
+
"model_b": "CosXLEdit",
|
| 1589 |
+
"winner": "model_a",
|
| 1590 |
+
"judge": "arena_user_10.16.27.38",
|
| 1591 |
+
"anony": true,
|
| 1592 |
+
"tstamp": 1716604696.0584
|
| 1593 |
+
},
|
| 1594 |
+
{
|
| 1595 |
+
"model_a": "MagicBrush",
|
| 1596 |
+
"model_b": "InfEdit",
|
| 1597 |
+
"winner": "model_a",
|
| 1598 |
+
"judge": "arena_user_10.16.3.14",
|
| 1599 |
+
"anony": true,
|
| 1600 |
+
"tstamp": 1716604715.0998
|
| 1601 |
+
},
|
| 1602 |
+
{
|
| 1603 |
+
"model_a": "InfEdit",
|
| 1604 |
+
"model_b": "CycleDiffusion",
|
| 1605 |
+
"winner": "tie (bothbad)",
|
| 1606 |
+
"judge": "arena_user_10.16.27.38",
|
| 1607 |
+
"anony": true,
|
| 1608 |
+
"tstamp": 1716604747.7838
|
| 1609 |
+
},
|
| 1610 |
+
{
|
| 1611 |
+
"model_a": "InstructPix2Pix",
|
| 1612 |
+
"model_b": "Prompt2prompt",
|
| 1613 |
+
"winner": "tie (bothbad)",
|
| 1614 |
+
"judge": "arena_user_10.16.27.38",
|
| 1615 |
+
"anony": true,
|
| 1616 |
+
"tstamp": 1716604763.4297
|
| 1617 |
+
},
|
| 1618 |
+
{
|
| 1619 |
+
"model_a": "CosXLEdit",
|
| 1620 |
+
"model_b": "InstructPix2Pix",
|
| 1621 |
+
"winner": "tie (bothbad)",
|
| 1622 |
+
"judge": "arena_user_10.16.27.38",
|
| 1623 |
+
"anony": true,
|
| 1624 |
+
"tstamp": 1716604782.4706
|
| 1625 |
+
},
|
| 1626 |
+
{
|
| 1627 |
+
"model_a": "Prompt2prompt",
|
| 1628 |
+
"model_b": "CosXLEdit",
|
| 1629 |
+
"winner": "model_b",
|
| 1630 |
+
"judge": "arena_user_10.16.9.183",
|
| 1631 |
+
"anony": true,
|
| 1632 |
+
"tstamp": 1716604802.0201
|
| 1633 |
+
},
|
| 1634 |
+
{
|
| 1635 |
+
"model_a": "Prompt2prompt",
|
| 1636 |
+
"model_b": "Pix2PixZero",
|
| 1637 |
+
"winner": "tie (bothbad)",
|
| 1638 |
+
"judge": "arena_user_10.16.27.38",
|
| 1639 |
+
"anony": true,
|
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|
| 4565 |
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| 4566 |
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| 4574 |
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| 4575 |
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| 4577 |
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| 4579 |
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| 4580 |
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| 4581 |
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| 4582 |
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| 4583 |
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| 4587 |
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| 4589 |
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| 4590 |
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| 4591 |
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| 4593 |
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| 4595 |
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| 4635 |
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| 4639 |
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| 4660 |
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| 4663 |
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| 4670 |
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| 4675 |
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| 4679 |
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| 4680 |
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| 4681 |
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| 4683 |
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| 4684 |
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| 4685 |
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|
| 4686 |
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| 4687 |
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| 4688 |
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| 4689 |
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| 4690 |
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| 4691 |
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| 4693 |
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| 4695 |
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| 4699 |
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| 4700 |
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| 4701 |
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| 4702 |
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| 4703 |
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| 4706 |
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| 4711 |
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| 4715 |
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| 4717 |
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| 4719 |
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|
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|
| 4721 |
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|
| 4722 |
]
|
arena_elo/results/latest/clean_battle_t2i_generation.json
CHANGED
|
@@ -36806,5 +36806,3805 @@
|
|
| 36806 |
"judge": "arena_user_10.16.2.201",
|
| 36807 |
"anony": true,
|
| 36808 |
"tstamp": 1716005809.1647
|
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|
| 36809 |
}
|
| 36810 |
]
|
|
|
|
| 36806 |
"judge": "arena_user_10.16.2.201",
|
| 36807 |
"anony": true,
|
| 36808 |
"tstamp": 1716005809.1647
|
| 36809 |
+
},
|
| 36810 |
+
{
|
| 36811 |
+
"model_a": "PixArtSigma",
|
| 36812 |
+
"model_b": "SDXLLightning",
|
| 36813 |
+
"winner": "model_a",
|
| 36814 |
+
"judge": "arena_user_10.16.25.191",
|
| 36815 |
+
"anony": true,
|
| 36816 |
+
"tstamp": 1716024927.1115
|
| 36817 |
+
},
|
| 36818 |
+
{
|
| 36819 |
+
"model_a": "LCM(v1.5/XL)",
|
| 36820 |
+
"model_b": "OpenJourney",
|
| 36821 |
+
"winner": "model_a",
|
| 36822 |
+
"judge": "arena_user_10.16.41.118",
|
| 36823 |
+
"anony": true,
|
| 36824 |
+
"tstamp": 1716024976.7221
|
| 36825 |
+
},
|
| 36826 |
+
{
|
| 36827 |
+
"model_a": "PlayGround V2.5",
|
| 36828 |
+
"model_b": "PlayGround V2",
|
| 36829 |
+
"winner": "model_b",
|
| 36830 |
+
"judge": "arena_user_10.16.41.118",
|
| 36831 |
+
"anony": true,
|
| 36832 |
+
"tstamp": 1716025010.7673
|
| 36833 |
+
},
|
| 36834 |
+
{
|
| 36835 |
+
"model_a": "LCM(v1.5/XL)",
|
| 36836 |
+
"model_b": "PixArtAlpha",
|
| 36837 |
+
"winner": "model_b",
|
| 36838 |
+
"judge": "arena_user_10.16.2.201",
|
| 36839 |
+
"anony": true,
|
| 36840 |
+
"tstamp": 1716027377.3351
|
| 36841 |
+
},
|
| 36842 |
+
{
|
| 36843 |
+
"model_a": "PixArtSigma",
|
| 36844 |
+
"model_b": "SDXL",
|
| 36845 |
+
"winner": "model_b",
|
| 36846 |
+
"judge": "arena_user_10.16.15.199",
|
| 36847 |
+
"anony": true,
|
| 36848 |
+
"tstamp": 1716027899.644
|
| 36849 |
+
},
|
| 36850 |
+
{
|
| 36851 |
+
"model_a": "PlayGround V2",
|
| 36852 |
+
"model_b": "SDXLLightning",
|
| 36853 |
+
"winner": "model_b",
|
| 36854 |
+
"judge": "arena_user_10.16.15.199",
|
| 36855 |
+
"anony": true,
|
| 36856 |
+
"tstamp": 1716028822.8275
|
| 36857 |
+
},
|
| 36858 |
+
{
|
| 36859 |
+
"model_a": "PixArtAlpha",
|
| 36860 |
+
"model_b": "LCM(v1.5/XL)",
|
| 36861 |
+
"winner": "tie (bothbad)",
|
| 36862 |
+
"judge": "arena_user_10.16.41.118",
|
| 36863 |
+
"anony": true,
|
| 36864 |
+
"tstamp": 1716028857.7321
|
| 36865 |
+
},
|
| 36866 |
+
{
|
| 36867 |
+
"model_a": "SDXLTurbo",
|
| 36868 |
+
"model_b": "LCM(v1.5/XL)",
|
| 36869 |
+
"winner": "model_b",
|
| 36870 |
+
"judge": "arena_user_10.16.41.118",
|
| 36871 |
+
"anony": true,
|
| 36872 |
+
"tstamp": 1716036421.4086
|
| 36873 |
+
},
|
| 36874 |
+
{
|
| 36875 |
+
"model_a": "PlayGround V2.5",
|
| 36876 |
+
"model_b": "OpenJourney",
|
| 36877 |
+
"winner": "model_a",
|
| 36878 |
+
"judge": "arena_user_10.16.41.118",
|
| 36879 |
+
"anony": true,
|
| 36880 |
+
"tstamp": 1716040333.7351
|
| 36881 |
+
},
|
| 36882 |
+
{
|
| 36883 |
+
"model_a": "LCM(v1.5/XL)",
|
| 36884 |
+
"model_b": "PlayGround V2",
|
| 36885 |
+
"winner": "model_b",
|
| 36886 |
+
"judge": "arena_user_10.16.15.199",
|
| 36887 |
+
"anony": true,
|
| 36888 |
+
"tstamp": 1716043972.3967
|
| 36889 |
+
},
|
| 36890 |
+
{
|
| 36891 |
+
"model_a": "LCM(v1.5/XL)",
|
| 36892 |
+
"model_b": "PlayGround V2",
|
| 36893 |
+
"winner": "model_b",
|
| 36894 |
+
"judge": "arena_user_10.16.25.191",
|
| 36895 |
+
"anony": true,
|
| 36896 |
+
"tstamp": 1716043995.1703
|
| 36897 |
+
},
|
| 36898 |
+
{
|
| 36899 |
+
"model_a": "SDXLLightning",
|
| 36900 |
+
"model_b": "OpenJourney",
|
| 36901 |
+
"winner": "model_a",
|
| 36902 |
+
"judge": "arena_user_10.16.41.118",
|
| 36903 |
+
"anony": true,
|
| 36904 |
+
"tstamp": 1716044508.3229
|
| 36905 |
+
},
|
| 36906 |
+
{
|
| 36907 |
+
"model_a": "PlayGround V2",
|
| 36908 |
+
"model_b": "PlayGround V2.5",
|
| 36909 |
+
"winner": "tie (bothbad)",
|
| 36910 |
+
"judge": "arena_user_10.16.41.118",
|
| 36911 |
+
"anony": true,
|
| 36912 |
+
"tstamp": 1716045340.1223
|
| 36913 |
+
},
|
| 36914 |
+
{
|
| 36915 |
+
"model_a": "StableCascade",
|
| 36916 |
+
"model_b": "SDXLTurbo",
|
| 36917 |
+
"winner": "model_b",
|
| 36918 |
+
"judge": "arena_user_10.16.41.118",
|
| 36919 |
+
"anony": true,
|
| 36920 |
+
"tstamp": 1716045370.1669
|
| 36921 |
+
},
|
| 36922 |
+
{
|
| 36923 |
+
"model_a": "PlayGround V2",
|
| 36924 |
+
"model_b": "SDXL",
|
| 36925 |
+
"winner": "model_a",
|
| 36926 |
+
"judge": "arena_user_10.16.41.118",
|
| 36927 |
+
"anony": true,
|
| 36928 |
+
"tstamp": 1716045434.8063
|
| 36929 |
+
},
|
| 36930 |
+
{
|
| 36931 |
+
"model_a": "PixArtAlpha",
|
| 36932 |
+
"model_b": "PlayGround V2.5",
|
| 36933 |
+
"winner": "model_a",
|
| 36934 |
+
"judge": "arena_user_10.16.17.217",
|
| 36935 |
+
"anony": true,
|
| 36936 |
+
"tstamp": 1716045536.284
|
| 36937 |
+
},
|
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| 40537 |
+
},
|
| 40538 |
+
{
|
| 40539 |
+
"model_a": "PixArtSigma",
|
| 40540 |
+
"model_b": "StableCascade",
|
| 40541 |
+
"winner": "tie",
|
| 40542 |
+
"judge": "arena_user_10.16.27.38",
|
| 40543 |
+
"anony": true,
|
| 40544 |
+
"tstamp": 1716648496.2293
|
| 40545 |
+
},
|
| 40546 |
+
{
|
| 40547 |
+
"model_a": "PlayGround V2",
|
| 40548 |
+
"model_b": "OpenJourney",
|
| 40549 |
+
"winner": "model_b",
|
| 40550 |
+
"judge": "arena_user_10.16.9.183",
|
| 40551 |
+
"anony": true,
|
| 40552 |
+
"tstamp": 1716650144.5433
|
| 40553 |
+
},
|
| 40554 |
+
{
|
| 40555 |
+
"model_a": "PlayGround V2",
|
| 40556 |
+
"model_b": "StableCascade",
|
| 40557 |
+
"winner": "model_b",
|
| 40558 |
+
"judge": "arena_user_10.16.3.14",
|
| 40559 |
+
"anony": true,
|
| 40560 |
+
"tstamp": 1716650252.1683
|
| 40561 |
+
},
|
| 40562 |
+
{
|
| 40563 |
+
"model_a": "PlayGround V2.5",
|
| 40564 |
+
"model_b": "SDXLLightning",
|
| 40565 |
+
"winner": "model_a",
|
| 40566 |
+
"judge": "arena_user_10.16.3.14",
|
| 40567 |
+
"anony": true,
|
| 40568 |
+
"tstamp": 1716654002.8058
|
| 40569 |
+
},
|
| 40570 |
+
{
|
| 40571 |
+
"model_a": "OpenJourney",
|
| 40572 |
+
"model_b": "StableCascade",
|
| 40573 |
+
"winner": "model_a",
|
| 40574 |
+
"judge": "arena_user_10.16.9.183",
|
| 40575 |
+
"anony": true,
|
| 40576 |
+
"tstamp": 1716657661.8542
|
| 40577 |
+
},
|
| 40578 |
+
{
|
| 40579 |
+
"model_a": "PixArtSigma",
|
| 40580 |
+
"model_b": "PlayGround V2",
|
| 40581 |
+
"winner": "tie (bothbad)",
|
| 40582 |
+
"judge": "arena_user_10.16.9.183",
|
| 40583 |
+
"anony": true,
|
| 40584 |
+
"tstamp": 1716661364.0162
|
| 40585 |
+
},
|
| 40586 |
+
{
|
| 40587 |
+
"model_a": "LCM(v1.5/XL)",
|
| 40588 |
+
"model_b": "SDXL",
|
| 40589 |
+
"winner": "model_b",
|
| 40590 |
+
"judge": "arena_user_10.16.3.14",
|
| 40591 |
+
"anony": true,
|
| 40592 |
+
"tstamp": 1716672582.8741
|
| 40593 |
+
},
|
| 40594 |
+
{
|
| 40595 |
+
"model_a": "PlayGround V2.5",
|
| 40596 |
+
"model_b": "PixArtSigma",
|
| 40597 |
+
"winner": "model_a",
|
| 40598 |
+
"judge": "arena_user_10.16.27.38",
|
| 40599 |
+
"anony": true,
|
| 40600 |
+
"tstamp": 1716675304.6869
|
| 40601 |
+
},
|
| 40602 |
+
{
|
| 40603 |
+
"model_a": "SDXL",
|
| 40604 |
+
"model_b": "PixArtSigma",
|
| 40605 |
+
"winner": "tie",
|
| 40606 |
+
"judge": "arena_user_10.16.9.183",
|
| 40607 |
+
"anony": true,
|
| 40608 |
+
"tstamp": 1716675360.5552
|
| 40609 |
}
|
| 40610 |
]
|
arena_elo/results/latest/elo_results_image_editing.pkl
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:a90694074e1b68a62bd75cdf0c81eb545dfcc115da34e9efdb215d668bd13196
|
| 3 |
+
size 62502
|
arena_elo/results/latest/elo_results_t2i_generation.pkl
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
-
size
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:7172486b8454e25f9b3a9df84e55d2dcce923a3b63e091fd8d165b63bbde7bc4
|
| 3 |
+
size 68170
|
arena_elo/results/latest/image_editing_leaderboard.csv
CHANGED
|
@@ -1,10 +1,10 @@
|
|
| 1 |
key,Model,Arena Elo rating (anony),Arena Elo rating (full),License,Organization,Link
|
| 2 |
-
|
| 3 |
-
|
| 4 |
-
InfEdit,InfEdit,
|
| 5 |
-
|
| 6 |
-
|
| 7 |
-
PNP,PNP,
|
| 8 |
-
|
| 9 |
-
|
| 10 |
-
|
|
|
|
| 1 |
key,Model,Arena Elo rating (anony),Arena Elo rating (full),License,Organization,Link
|
| 2 |
+
MagicBrush,MagicBrush,1104.9607793254968,1108.3641351499255,CC-BY-4.0,"The Ohio State University, University of Waterloo",https://osu-nlp-group.github.io/MagicBrush
|
| 3 |
+
CosXLEdit,CosXLEdit,1082.1149733184666,1082.6518457302682,cosxl-nc-community,Stability AI,https://huggingface.co/spaces/multimodalart/cosxl
|
| 4 |
+
InfEdit,InfEdit,1044.3184923378735,1048.265511270266,Apache-2.0,"University of Michigan, University of California, Berkeley",https://huggingface.co/spaces/sled-umich/InfEdit
|
| 5 |
+
InstructPix2Pix,InstructPix2Pix,1038.4196348911762,1033.9384244494888,"Copyright 2023 Timothy Brooks, Aleksander Holynski, Alexei A. Efros","University of California, Berkeley",https://www.timothybrooks.com/instruct-pix2pix
|
| 6 |
+
Prompt2prompt,Prompt2prompt,1008.6680807257849,1009.6489502670348,Apache-2.0,"Google, Tel Aviv University",https://prompt-to-prompt.github.io
|
| 7 |
+
PNP,PNP,996.2773547131053,1006.4720172502705,-,Weizmann Institute of Science,https://github.com/MichalGeyer/plug-and-play
|
| 8 |
+
SDEdit,SDEdit,922.8193215180083,920.654664379804,MIT License,Stanford University,https://sde-image-editing.github.io
|
| 9 |
+
CycleDiffusion,CycleDiffusion,921.2482813177639,911.3052609726248,X11,Carnegie Mellon University,https://github.com/ChenWu98/cycle-diffusion
|
| 10 |
+
Pix2PixZero,Pix2PixZero,881.1730818523246,878.6991905303175,MIT License,"Carnegie Mellon University, Adobe Research",https://pix2pixzero.github.io
|
arena_elo/results/latest/t2i_generation_leaderboard.csv
CHANGED
|
@@ -1,12 +1,12 @@
|
|
| 1 |
key,Model,Arena Elo rating (anony),Arena Elo rating (full),License,Organization,Link
|
| 2 |
-
PlayGround V2.5,PlayGround V2.5,
|
| 3 |
-
PlayGround V2,PlayGround V2,
|
| 4 |
-
SDXLLightning,SDXLLightning,
|
| 5 |
-
StableCascade,StableCascade,
|
| 6 |
-
|
| 7 |
-
|
| 8 |
-
SDXL,SDXL,
|
| 9 |
-
|
| 10 |
-
|
| 11 |
-
OpenJourney,OpenJourney,
|
| 12 |
-
LCM,LCM,
|
|
|
|
| 1 |
key,Model,Arena Elo rating (anony),Arena Elo rating (full),License,Organization,Link
|
| 2 |
+
PlayGround V2.5,PlayGround V2.5,1140.4931116583339,1084.2088555290354,Playground v2.5 Community License,Playground,https://huggingface.co/playgroundai/playground-v2.5-1024px-aesthetic
|
| 3 |
+
PlayGround V2,PlayGround V2,1098.7388948915252,1040.0265968382582,Playground v2 Community License,Playground,https://huggingface.co/playgroundai/playground-v2-1024px-aesthetic
|
| 4 |
+
SDXLLightning,SDXLLightning,1066.3011205806156,1008.6669754414712,openrail++,ByteDance,https://huggingface.co/ByteDance/SDXL-Lightning
|
| 5 |
+
StableCascade,StableCascade,1055.3876736984168,996.1397647071996,stable-cascade-nc-community (other),Stability AI,https://huggingface.co/stabilityai/stable-cascade
|
| 6 |
+
PixArtSigma,PixArtSigma,1053.6017437756345,992.1932737107034,openrail++,PixArt-alpha,https://fal.ai/models/fal-ai/pixart-sigma
|
| 7 |
+
PixArtAlpha,PixArtAlpha,1052.587961133323,980.7401960586495,openrail++,PixArt-alpha,https://huggingface.co/PixArt-alpha/PixArt-XL-2-1024-MS
|
| 8 |
+
SDXL,SDXL,997.5178756677587,938.0490630458108,openrail++,Stability AI,https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0
|
| 9 |
+
LCM(v1.5/XL),LCM(v1.5/XL),932.5384181723202,867.2098600891867,openrail++,Latent Consistency,https://fal.ai/models/fal-ai/fast-lcm-diffusion/api
|
| 10 |
+
SDXLTurbo,SDXLTurbo,931.9053470850187,871.7597877802655,sai-nc-community (other),Stability AI,https://huggingface.co/stabilityai/sdxl-turbo
|
| 11 |
+
OpenJourney,OpenJourney,854.5381628850578,789.57778153393,creativeml-openrail-m,PromptHero,https://huggingface.co/prompthero/openjourney
|
| 12 |
+
LCM,LCM,816.3896904519953,770.4870944721403,MIT License,Tsinghua University,https://huggingface.co/SimianLuo/LCM_Dreamshaper_v7
|
model/fetch_museum_results/__init__.py
CHANGED
|
@@ -1,5 +1,5 @@
|
|
| 1 |
from .imagen_museum import TASK_DICT, DOMAIN
|
| 2 |
-
from .imagen_museum import fetch_indexes
|
| 3 |
import random
|
| 4 |
|
| 5 |
ARENA_TO_IG_MUSEUM = {"LCM(v1.5/XL)":"LCM",
|
|
@@ -56,3 +56,36 @@ def draw_from_imagen_museum(task, model_name):
|
|
| 56 |
return [[source_image_link, image_link], [input_caption, output_caption, instruction]]
|
| 57 |
else:
|
| 58 |
raise ValueError("Task not supported")
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
from .imagen_museum import TASK_DICT, DOMAIN
|
| 2 |
+
from .imagen_museum import fetch_indexes, fetch_indexes_no_csv
|
| 3 |
import random
|
| 4 |
|
| 5 |
ARENA_TO_IG_MUSEUM = {"LCM(v1.5/XL)":"LCM",
|
|
|
|
| 56 |
return [[source_image_link, image_link], [input_caption, output_caption, instruction]]
|
| 57 |
else:
|
| 58 |
raise ValueError("Task not supported")
|
| 59 |
+
|
| 60 |
+
def draw2_from_videogen_museum(task, model_name1, model_name2):
|
| 61 |
+
domain = "https://github.com/ChromAIca/VideoGenMuseum/raw/main/Museum/"
|
| 62 |
+
baselink = domain + "VideoGenHub_Text-Guided_VG"
|
| 63 |
+
|
| 64 |
+
matched_results = fetch_indexes_no_csv(baselink)
|
| 65 |
+
r = random.Random()
|
| 66 |
+
uid, value = r.choice(list(matched_results.items()))
|
| 67 |
+
video_link_1 = baselink + "/" + model_name1 + "/" + uid
|
| 68 |
+
video_link_2 = baselink + "/" + model_name2 + "/" + uid
|
| 69 |
+
|
| 70 |
+
if task == "t2v": # Video Gen
|
| 71 |
+
prompt = value['prompt_en']
|
| 72 |
+
return [[video_link_1, video_link_2], [prompt]]
|
| 73 |
+
else:
|
| 74 |
+
raise ValueError("Task not supported")
|
| 75 |
+
|
| 76 |
+
def draw_from_videogen_museum(task, model_name):
|
| 77 |
+
domain = "https://github.com/ChromAIca/VideoGenMuseum/raw/main/Museum/"
|
| 78 |
+
baselink = domain + "VideoGenHub_Text-Guided_VG"
|
| 79 |
+
|
| 80 |
+
matched_results = fetch_indexes_no_csv(baselink)
|
| 81 |
+
r = random.Random()
|
| 82 |
+
uid, value = r.choice(list(matched_results.items()))
|
| 83 |
+
model = model_name
|
| 84 |
+
video_link = baselink + "/" + model + "/" + uid
|
| 85 |
+
print(video_link)
|
| 86 |
+
|
| 87 |
+
if task == "t2v": # Video Gen
|
| 88 |
+
prompt = value['prompt_en']
|
| 89 |
+
return [video_link, prompt]
|
| 90 |
+
else:
|
| 91 |
+
raise ValueError("Task not supported")
|
model/fetch_museum_results/imagen_museum/__init__.py
CHANGED
|
@@ -116,6 +116,10 @@ def fetch_indexes(baselink):
|
|
| 116 |
matched_results = fetch_data_and_match(baselink+"/dataset_lookup.csv", baselink+"/dataset_lookup.json")
|
| 117 |
return matched_results
|
| 118 |
|
|
|
|
|
|
|
|
|
|
|
|
|
| 119 |
if __name__ == "__main__":
|
| 120 |
domain = "https://chromaica.github.io/Museum/"
|
| 121 |
baselink = domain + "ImagenHub_Text-Guided_IE"
|
|
|
|
| 116 |
matched_results = fetch_data_and_match(baselink+"/dataset_lookup.csv", baselink+"/dataset_lookup.json")
|
| 117 |
return matched_results
|
| 118 |
|
| 119 |
+
def fetch_indexes_no_csv(baselink):
|
| 120 |
+
matched_results = fetch_json_data(baselink+"/dataset_lookup.json")
|
| 121 |
+
return matched_results
|
| 122 |
+
|
| 123 |
if __name__ == "__main__":
|
| 124 |
domain = "https://chromaica.github.io/Museum/"
|
| 125 |
baselink = domain + "ImagenHub_Text-Guided_IE"
|
model/model_manager.py
CHANGED
|
@@ -6,7 +6,7 @@ import io, base64, json
|
|
| 6 |
import spaces
|
| 7 |
from PIL import Image
|
| 8 |
from .models import IMAGE_GENERATION_MODELS, IMAGE_EDITION_MODELS, VIDEO_GENERATION_MODELS, load_pipeline
|
| 9 |
-
from .fetch_museum_results import draw_from_imagen_museum, draw2_from_imagen_museum
|
| 10 |
|
| 11 |
class ModelManager:
|
| 12 |
def __init__(self):
|
|
@@ -161,7 +161,12 @@ class ModelManager:
|
|
| 161 |
return result
|
| 162 |
|
| 163 |
def generate_video_vg_museum(self, model_name):
|
| 164 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 165 |
|
| 166 |
def generate_video_vg_parallel_anony(self, prompt, model_A, model_B):
|
| 167 |
if model_A == "" and model_B == "":
|
|
@@ -181,7 +186,14 @@ class ModelManager:
|
|
| 181 |
else:
|
| 182 |
model_names = [model_A, model_B]
|
| 183 |
|
| 184 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 185 |
|
| 186 |
def generate_video_vg_parallel(self, prompt, model_A, model_B):
|
| 187 |
model_names = [model_A, model_B]
|
|
@@ -193,5 +205,10 @@ class ModelManager:
|
|
| 193 |
|
| 194 |
def generate_video_vg_museum_parallel(self, model_A, model_B):
|
| 195 |
model_names = [model_A, model_B]
|
| 196 |
-
|
| 197 |
-
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 6 |
import spaces
|
| 7 |
from PIL import Image
|
| 8 |
from .models import IMAGE_GENERATION_MODELS, IMAGE_EDITION_MODELS, VIDEO_GENERATION_MODELS, load_pipeline
|
| 9 |
+
from .fetch_museum_results import draw_from_imagen_museum, draw2_from_imagen_museum, draw_from_videogen_museum, draw2_from_videogen_museum
|
| 10 |
|
| 11 |
class ModelManager:
|
| 12 |
def __init__(self):
|
|
|
|
| 161 |
return result
|
| 162 |
|
| 163 |
def generate_video_vg_museum(self, model_name):
|
| 164 |
+
model_name = model_name.split('_')[1]
|
| 165 |
+
result_list = draw_from_videogen_museum("t2v", model_name)
|
| 166 |
+
video_link = result_list[0]
|
| 167 |
+
prompt = result_list[1]
|
| 168 |
+
|
| 169 |
+
return video_link, prompt
|
| 170 |
|
| 171 |
def generate_video_vg_parallel_anony(self, prompt, model_A, model_B):
|
| 172 |
if model_A == "" and model_B == "":
|
|
|
|
| 186 |
else:
|
| 187 |
model_names = [model_A, model_B]
|
| 188 |
|
| 189 |
+
with concurrent.futures.ThreadPoolExecutor() as executor:
|
| 190 |
+
model_1 = model_names[0].split('_')[1]
|
| 191 |
+
model_2 = model_names[1].split('_')[1]
|
| 192 |
+
result_list = draw2_from_videogen_museum("t2v", model_1, model_2)
|
| 193 |
+
video_links = result_list[0]
|
| 194 |
+
prompt_list = result_list[1]
|
| 195 |
+
|
| 196 |
+
return video_links[0], video_links[1], model_names[0], model_names[1], prompt_list[0]
|
| 197 |
|
| 198 |
def generate_video_vg_parallel(self, prompt, model_A, model_B):
|
| 199 |
model_names = [model_A, model_B]
|
|
|
|
| 205 |
|
| 206 |
def generate_video_vg_museum_parallel(self, model_A, model_B):
|
| 207 |
model_names = [model_A, model_B]
|
| 208 |
+
with concurrent.futures.ThreadPoolExecutor() as executor:
|
| 209 |
+
model_1 = model_A.split('_')[1]
|
| 210 |
+
model_2 = model_B.split('_')[1]
|
| 211 |
+
result_list = draw2_from_videogen_museum("t2v", model_1, model_2)
|
| 212 |
+
video_links = result_list[0]
|
| 213 |
+
prompt_list = result_list[1]
|
| 214 |
+
return video_links[0], video_links[1], prompt_list[0]
|
requirements.txt
CHANGED
|
@@ -69,3 +69,5 @@ timm
|
|
| 69 |
pandarallel
|
| 70 |
wandb
|
| 71 |
|
|
|
|
|
|
|
|
|
| 69 |
pandarallel
|
| 70 |
wandb
|
| 71 |
|
| 72 |
+
|
| 73 |
+
|
serve/gradio_web_video_generation.py
CHANGED
|
@@ -9,8 +9,11 @@ from .vote_utils import (
|
|
| 9 |
bothbad_vote_last_response_vgm as bothbad_vote_last_response,
|
| 10 |
# share_click_vgm as share_click,
|
| 11 |
generate_vg,
|
|
|
|
| 12 |
generate_vgm,
|
|
|
|
| 13 |
generate_vgm_annoy,
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| 14 |
share_js
|
| 15 |
)
|
| 16 |
from functools import partial
|
|
@@ -38,6 +41,7 @@ Find out who is the 🥇conditional video generation models! More models are goi
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|
| 38 |
state0 = gr.State()
|
| 39 |
state1 = gr.State()
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| 40 |
gen_func = partial(generate_vgm_annoy, models.generate_video_vg_parallel_anony)
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| 41 |
|
| 42 |
gr.Markdown(notice_markdown, elem_id="notice_markdown")
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| 43 |
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@@ -79,6 +83,8 @@ Find out who is the 🥇conditional video generation models! More models are goi
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|
| 79 |
elem_id="input_box",
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| 80 |
)
|
| 81 |
send_btn = gr.Button(value="Send", variant="primary", scale=0)
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| 82 |
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| 83 |
with gr.Row():
|
| 84 |
clear_btn = gr.Button(value="🎲 New Round", interactive=False)
|
|
@@ -120,6 +126,17 @@ Find out who is the 🥇conditional video generation models! More models are goi
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| 120 |
outputs=btn_list
|
| 121 |
)
|
| 122 |
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| 123 |
clear_btn.click(
|
| 124 |
clear_history_side_by_side_anony,
|
| 125 |
inputs=None,
|
|
@@ -190,6 +207,7 @@ def build_side_by_side_ui_named_vg(models):
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| 190 |
state0 = gr.State()
|
| 191 |
state1 = gr.State()
|
| 192 |
gen_func = partial(generate_vgm, models.generate_video_vg_parallel)
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| 193 |
gr.Markdown(notice_markdown, elem_id="notice_markdown")
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| 194 |
|
| 195 |
with gr.Group(elem_id="share-region-named"):
|
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@@ -239,6 +257,8 @@ def build_side_by_side_ui_named_vg(models):
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| 239 |
elem_id="input_box"
|
| 240 |
)
|
| 241 |
send_btn = gr.Button(value="Send", variant="primary", scale=0)
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|
| 242 |
|
| 243 |
with gr.Row():
|
| 244 |
clear_btn = gr.Button(value="🗑️ Clear history", interactive=False)
|
|
@@ -289,6 +309,17 @@ def build_side_by_side_ui_named_vg(models):
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| 289 |
inputs=None,
|
| 290 |
outputs=btn_list
|
| 291 |
)
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| 292 |
regenerate_btn.click(
|
| 293 |
gen_func,
|
| 294 |
inputs=[state0, state1, textbox, model_selector_left, model_selector_right],
|
|
@@ -358,6 +389,7 @@ def build_single_model_ui_vg(models, add_promotion_links=False):
|
|
| 358 |
|
| 359 |
state = gr.State()
|
| 360 |
gen_func = partial(generate_vg, models.generate_video_vg)
|
|
|
|
| 361 |
gr.Markdown(notice_markdown, elem_id="notice_markdown")
|
| 362 |
|
| 363 |
model_list = models.model_vg_list
|
|
@@ -387,6 +419,8 @@ def build_single_model_ui_vg(models, add_promotion_links=False):
|
|
| 387 |
)
|
| 388 |
|
| 389 |
send_btn = gr.Button(value="Send", variant="primary", scale=0)
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|
| 390 |
|
| 391 |
with gr.Row():
|
| 392 |
chatbot = gr.Video(width=512, autoplay=True)
|
|
@@ -442,6 +476,18 @@ def build_single_model_ui_vg(models, add_promotion_links=False):
|
|
| 442 |
outputs=btn_list
|
| 443 |
)
|
| 444 |
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|
| 445 |
upvote_btn.click(
|
| 446 |
upvote_last_response,
|
| 447 |
inputs=[state, model_selector],
|
|
|
|
| 9 |
bothbad_vote_last_response_vgm as bothbad_vote_last_response,
|
| 10 |
# share_click_vgm as share_click,
|
| 11 |
generate_vg,
|
| 12 |
+
generate_vg_museum,
|
| 13 |
generate_vgm,
|
| 14 |
+
generate_vgm_museum,
|
| 15 |
generate_vgm_annoy,
|
| 16 |
+
generate_vgm_annoy_museum,
|
| 17 |
share_js
|
| 18 |
)
|
| 19 |
from functools import partial
|
|
|
|
| 41 |
state0 = gr.State()
|
| 42 |
state1 = gr.State()
|
| 43 |
gen_func = partial(generate_vgm_annoy, models.generate_video_vg_parallel_anony)
|
| 44 |
+
gen_func_random = partial(generate_vgm_annoy_museum, models.generate_video_vg_museum_parallel_anony)
|
| 45 |
|
| 46 |
gr.Markdown(notice_markdown, elem_id="notice_markdown")
|
| 47 |
|
|
|
|
| 83 |
elem_id="input_box",
|
| 84 |
)
|
| 85 |
send_btn = gr.Button(value="Send", variant="primary", scale=0)
|
| 86 |
+
draw_btn = gr.Button(value="🎲 Random sample", variant="primary", scale=0)
|
| 87 |
+
|
| 88 |
|
| 89 |
with gr.Row():
|
| 90 |
clear_btn = gr.Button(value="🎲 New Round", interactive=False)
|
|
|
|
| 126 |
outputs=btn_list
|
| 127 |
)
|
| 128 |
|
| 129 |
+
draw_btn.click(
|
| 130 |
+
gen_func_random,
|
| 131 |
+
inputs=[state0, state1, model_selector_left, model_selector_right],
|
| 132 |
+
outputs=[state0, state1, chatbot_left, chatbot_right, textbox, model_selector_left, model_selector_right],
|
| 133 |
+
api_name="draw_btn_annony"
|
| 134 |
+
).then(
|
| 135 |
+
enable_buttons_side_by_side,
|
| 136 |
+
inputs=None,
|
| 137 |
+
outputs=btn_list
|
| 138 |
+
)
|
| 139 |
+
|
| 140 |
clear_btn.click(
|
| 141 |
clear_history_side_by_side_anony,
|
| 142 |
inputs=None,
|
|
|
|
| 207 |
state0 = gr.State()
|
| 208 |
state1 = gr.State()
|
| 209 |
gen_func = partial(generate_vgm, models.generate_video_vg_parallel)
|
| 210 |
+
gen_func_random = partial(generate_vgm_museum, models.generate_video_vg_museum_parallel)
|
| 211 |
gr.Markdown(notice_markdown, elem_id="notice_markdown")
|
| 212 |
|
| 213 |
with gr.Group(elem_id="share-region-named"):
|
|
|
|
| 257 |
elem_id="input_box"
|
| 258 |
)
|
| 259 |
send_btn = gr.Button(value="Send", variant="primary", scale=0)
|
| 260 |
+
draw_btn = gr.Button(value="🎲 Random sample", variant="primary", scale=0)
|
| 261 |
+
|
| 262 |
|
| 263 |
with gr.Row():
|
| 264 |
clear_btn = gr.Button(value="🗑️ Clear history", interactive=False)
|
|
|
|
| 309 |
inputs=None,
|
| 310 |
outputs=btn_list
|
| 311 |
)
|
| 312 |
+
draw_btn.click(
|
| 313 |
+
gen_func_random,
|
| 314 |
+
inputs=[state0, state1, model_selector_left, model_selector_right],
|
| 315 |
+
outputs=[state0, state1, chatbot_left, chatbot_right, textbox],
|
| 316 |
+
api_name="draw_side_by_side"
|
| 317 |
+
).then(
|
| 318 |
+
enable_buttons_side_by_side,
|
| 319 |
+
inputs=None,
|
| 320 |
+
outputs=btn_list
|
| 321 |
+
)
|
| 322 |
+
|
| 323 |
regenerate_btn.click(
|
| 324 |
gen_func,
|
| 325 |
inputs=[state0, state1, textbox, model_selector_left, model_selector_right],
|
|
|
|
| 389 |
|
| 390 |
state = gr.State()
|
| 391 |
gen_func = partial(generate_vg, models.generate_video_vg)
|
| 392 |
+
gen_func_random = partial(generate_vg_museum, models.generate_video_vg_museum)
|
| 393 |
gr.Markdown(notice_markdown, elem_id="notice_markdown")
|
| 394 |
|
| 395 |
model_list = models.model_vg_list
|
|
|
|
| 419 |
)
|
| 420 |
|
| 421 |
send_btn = gr.Button(value="Send", variant="primary", scale=0)
|
| 422 |
+
draw_btn = gr.Button(value="🎲 Random sample", variant="primary", scale=0)
|
| 423 |
+
|
| 424 |
|
| 425 |
with gr.Row():
|
| 426 |
chatbot = gr.Video(width=512, autoplay=True)
|
|
|
|
| 476 |
outputs=btn_list
|
| 477 |
)
|
| 478 |
|
| 479 |
+
draw_btn.click(
|
| 480 |
+
gen_func_random,
|
| 481 |
+
inputs=[state, model_selector],
|
| 482 |
+
outputs=[state, chatbot, textbox],
|
| 483 |
+
api_name="draw_btn_single",
|
| 484 |
+
show_progress="full"
|
| 485 |
+
).success(
|
| 486 |
+
enable_buttons,
|
| 487 |
+
inputs=None,
|
| 488 |
+
outputs=btn_list
|
| 489 |
+
)
|
| 490 |
+
|
| 491 |
upvote_btn.click(
|
| 492 |
upvote_last_response,
|
| 493 |
inputs=[state, model_selector],
|
serve/vote_utils.py
CHANGED
|
@@ -10,6 +10,7 @@ from .log_utils import build_logger
|
|
| 10 |
from .constants import IMAGE_DIR, VIDEO_DIR
|
| 11 |
import imageio
|
| 12 |
from diffusers.utils import load_image
|
|
|
|
| 13 |
|
| 14 |
ig_logger = build_logger("gradio_web_server_image_generation", "gr_web_image_generation.log") # ig = image generation, loggers for single model direct chat
|
| 15 |
igm_logger = build_logger("gradio_web_server_image_generation_multi", "gr_web_image_generation_multi.log") # igm = image generation multi, loggers for side-by-side and battle
|
|
@@ -144,10 +145,14 @@ def vote_last_response_vgm(states, vote_type, model_selectors, request: gr.Reque
|
|
| 144 |
r = requests.get(state.output)
|
| 145 |
with open(output_file, 'wb') as outfile:
|
| 146 |
outfile.write(r.content)
|
| 147 |
-
|
| 148 |
print("======== video shape: ========")
|
| 149 |
print(state.output.shape)
|
| 150 |
imageio.mimwrite(output_file, state.output, fps=8, quality=9)
|
|
|
|
|
|
|
|
|
|
|
|
|
| 151 |
save_video_file_on_log_server(output_file)
|
| 152 |
|
| 153 |
|
|
@@ -1249,6 +1254,46 @@ def generate_vg(gen_func, state, text, model_name, request: gr.Request):
|
|
| 1249 |
save_video_file_on_log_server(output_file)
|
| 1250 |
yield state, output_file
|
| 1251 |
|
|
|
|
|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
| 1252 |
def generate_vgm(gen_func, state0, state1, text, model_name0, model_name1, request: gr.Request):
|
| 1253 |
if not text:
|
| 1254 |
raise gr.Warning("Prompt cannot be empty.")
|
|
@@ -1326,6 +1371,72 @@ def generate_vgm(gen_func, state0, state1, text, model_name0, model_name1, reque
|
|
| 1326 |
save_video_file_on_log_server(output_file)
|
| 1327 |
yield state0, state1, f'{VIDEO_DIR}/generation/{state0.conv_id}.mp4', f'{VIDEO_DIR}/generation/{state1.conv_id}.mp4'
|
| 1328 |
|
|
|
|
|
|
|
|
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|
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|
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|
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|
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|
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|
|
|
|
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|
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|
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|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1329 |
|
| 1330 |
def generate_vgm_annoy(gen_func, state0, state1, text, model_name0, model_name1, request: gr.Request):
|
| 1331 |
if not text:
|
|
@@ -1393,4 +1504,67 @@ def generate_vgm_annoy(gen_func, state0, state1, text, model_name0, model_name1,
|
|
| 1393 |
save_video_file_on_log_server(output_file)
|
| 1394 |
|
| 1395 |
yield state0, state1, f'{VIDEO_DIR}/generation/{state0.conv_id}.mp4', f'{VIDEO_DIR}/generation/{state1.conv_id}.mp4', \
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
|
|
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|
|
|
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|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
| 1396 |
gr.Markdown(f"### Model A: {model_name0}", visible=False), gr.Markdown(f"### Model B: {model_name1}", visible=False)
|
|
|
|
| 10 |
from .constants import IMAGE_DIR, VIDEO_DIR
|
| 11 |
import imageio
|
| 12 |
from diffusers.utils import load_image
|
| 13 |
+
import torch
|
| 14 |
|
| 15 |
ig_logger = build_logger("gradio_web_server_image_generation", "gr_web_image_generation.log") # ig = image generation, loggers for single model direct chat
|
| 16 |
igm_logger = build_logger("gradio_web_server_image_generation_multi", "gr_web_image_generation_multi.log") # igm = image generation multi, loggers for side-by-side and battle
|
|
|
|
| 145 |
r = requests.get(state.output)
|
| 146 |
with open(output_file, 'wb') as outfile:
|
| 147 |
outfile.write(r.content)
|
| 148 |
+
elif isinstance(state.output, torch.Tensor):
|
| 149 |
print("======== video shape: ========")
|
| 150 |
print(state.output.shape)
|
| 151 |
imageio.mimwrite(output_file, state.output, fps=8, quality=9)
|
| 152 |
+
else:
|
| 153 |
+
r = requests.get(state.output)
|
| 154 |
+
with open(output_file, 'wb') as outfile:
|
| 155 |
+
outfile.write(r.content)
|
| 156 |
save_video_file_on_log_server(output_file)
|
| 157 |
|
| 158 |
|
|
|
|
| 1254 |
save_video_file_on_log_server(output_file)
|
| 1255 |
yield state, output_file
|
| 1256 |
|
| 1257 |
+
def generate_vg_museum(gen_func, state, model_name, request: gr.Request):
|
| 1258 |
+
if state is None:
|
| 1259 |
+
state = VideoStateVG(model_name)
|
| 1260 |
+
ip = get_ip(request)
|
| 1261 |
+
vg_logger.info(f"generate. ip: {ip}")
|
| 1262 |
+
start_tstamp = time.time()
|
| 1263 |
+
generated_video, text = gen_func(model_name)
|
| 1264 |
+
state.prompt = text
|
| 1265 |
+
state.output = generated_video
|
| 1266 |
+
state.model_name = model_name
|
| 1267 |
+
|
| 1268 |
+
# yield state, generated_video
|
| 1269 |
+
|
| 1270 |
+
finish_tstamp = time.time()
|
| 1271 |
+
|
| 1272 |
+
with open(get_conv_log_filename(), "a") as fout:
|
| 1273 |
+
data = {
|
| 1274 |
+
"tstamp": round(finish_tstamp, 4),
|
| 1275 |
+
"type": "chat",
|
| 1276 |
+
"model": model_name,
|
| 1277 |
+
"gen_params": {},
|
| 1278 |
+
"start": round(start_tstamp, 4),
|
| 1279 |
+
"finish": round(finish_tstamp, 4),
|
| 1280 |
+
"state": state.dict(),
|
| 1281 |
+
"ip": get_ip(request),
|
| 1282 |
+
}
|
| 1283 |
+
fout.write(json.dumps(data) + "\n")
|
| 1284 |
+
append_json_item_on_log_server(data, get_conv_log_filename())
|
| 1285 |
+
|
| 1286 |
+
output_file = f'{VIDEO_DIR}/generation/{state.conv_id}.mp4'
|
| 1287 |
+
os.makedirs(os.path.dirname(output_file), exist_ok=True)
|
| 1288 |
+
|
| 1289 |
+
r = requests.get(state.output)
|
| 1290 |
+
with open(output_file, 'wb') as outfile:
|
| 1291 |
+
outfile.write(r.content)
|
| 1292 |
+
|
| 1293 |
+
save_video_file_on_log_server(output_file)
|
| 1294 |
+
yield state, output_file, text
|
| 1295 |
+
|
| 1296 |
+
|
| 1297 |
def generate_vgm(gen_func, state0, state1, text, model_name0, model_name1, request: gr.Request):
|
| 1298 |
if not text:
|
| 1299 |
raise gr.Warning("Prompt cannot be empty.")
|
|
|
|
| 1371 |
save_video_file_on_log_server(output_file)
|
| 1372 |
yield state0, state1, f'{VIDEO_DIR}/generation/{state0.conv_id}.mp4', f'{VIDEO_DIR}/generation/{state1.conv_id}.mp4'
|
| 1373 |
|
| 1374 |
+
def generate_vgm_museum(gen_func, state0, state1, model_name0, model_name1, request: gr.Request):
|
| 1375 |
+
if state0 is None:
|
| 1376 |
+
state0 = VideoStateVG(model_name0)
|
| 1377 |
+
if state1 is None:
|
| 1378 |
+
state1 = VideoStateVG(model_name1)
|
| 1379 |
+
ip = get_ip(request)
|
| 1380 |
+
igm_logger.info(f"generate. ip: {ip}")
|
| 1381 |
+
start_tstamp = time.time()
|
| 1382 |
+
# Remove ### Model (A|B): from model name
|
| 1383 |
+
model_name0 = re.sub(r"### Model A: ", "", model_name0)
|
| 1384 |
+
model_name1 = re.sub(r"### Model B: ", "", model_name1)
|
| 1385 |
+
generated_video0, generated_video1, text = gen_func(model_name0, model_name1)
|
| 1386 |
+
state0.prompt = text
|
| 1387 |
+
state1.prompt = text
|
| 1388 |
+
state0.output = generated_video0
|
| 1389 |
+
state1.output = generated_video1
|
| 1390 |
+
state0.model_name = model_name0
|
| 1391 |
+
state1.model_name = model_name1
|
| 1392 |
+
|
| 1393 |
+
# yield state0, state1, generated_video0, generated_video1
|
| 1394 |
+
print("====== model name =========")
|
| 1395 |
+
print(state0.model_name)
|
| 1396 |
+
print(state1.model_name)
|
| 1397 |
+
|
| 1398 |
+
|
| 1399 |
+
finish_tstamp = time.time()
|
| 1400 |
+
|
| 1401 |
+
|
| 1402 |
+
with open(get_conv_log_filename(), "a") as fout:
|
| 1403 |
+
data = {
|
| 1404 |
+
"tstamp": round(finish_tstamp, 4),
|
| 1405 |
+
"type": "chat",
|
| 1406 |
+
"model": model_name0,
|
| 1407 |
+
"gen_params": {},
|
| 1408 |
+
"start": round(start_tstamp, 4),
|
| 1409 |
+
"finish": round(finish_tstamp, 4),
|
| 1410 |
+
"state": state0.dict(),
|
| 1411 |
+
"ip": get_ip(request),
|
| 1412 |
+
}
|
| 1413 |
+
fout.write(json.dumps(data) + "\n")
|
| 1414 |
+
append_json_item_on_log_server(data, get_conv_log_filename())
|
| 1415 |
+
data = {
|
| 1416 |
+
"tstamp": round(finish_tstamp, 4),
|
| 1417 |
+
"type": "chat",
|
| 1418 |
+
"model": model_name1,
|
| 1419 |
+
"gen_params": {},
|
| 1420 |
+
"start": round(start_tstamp, 4),
|
| 1421 |
+
"finish": round(finish_tstamp, 4),
|
| 1422 |
+
"state": state1.dict(),
|
| 1423 |
+
"ip": get_ip(request),
|
| 1424 |
+
}
|
| 1425 |
+
fout.write(json.dumps(data) + "\n")
|
| 1426 |
+
append_json_item_on_log_server(data, get_conv_log_filename())
|
| 1427 |
+
|
| 1428 |
+
for i, state in enumerate([state0, state1]):
|
| 1429 |
+
output_file = f'{VIDEO_DIR}/generation/{state.conv_id}.mp4'
|
| 1430 |
+
os.makedirs(os.path.dirname(output_file), exist_ok=True)
|
| 1431 |
+
print(state.model_name)
|
| 1432 |
+
|
| 1433 |
+
r = requests.get(state.output)
|
| 1434 |
+
with open(output_file, 'wb') as outfile:
|
| 1435 |
+
outfile.write(r.content)
|
| 1436 |
+
|
| 1437 |
+
save_video_file_on_log_server(output_file)
|
| 1438 |
+
yield state0, state1, f'{VIDEO_DIR}/generation/{state0.conv_id}.mp4', f'{VIDEO_DIR}/generation/{state1.conv_id}.mp4', text
|
| 1439 |
+
|
| 1440 |
|
| 1441 |
def generate_vgm_annoy(gen_func, state0, state1, text, model_name0, model_name1, request: gr.Request):
|
| 1442 |
if not text:
|
|
|
|
| 1504 |
save_video_file_on_log_server(output_file)
|
| 1505 |
|
| 1506 |
yield state0, state1, f'{VIDEO_DIR}/generation/{state0.conv_id}.mp4', f'{VIDEO_DIR}/generation/{state1.conv_id}.mp4', \
|
| 1507 |
+
gr.Markdown(f"### Model A: {model_name0}", visible=False), gr.Markdown(f"### Model B: {model_name1}", visible=False)
|
| 1508 |
+
|
| 1509 |
+
def generate_vgm_annoy_museum(gen_func, state0, state1, model_name0, model_name1, request: gr.Request):
|
| 1510 |
+
if state0 is None:
|
| 1511 |
+
state0 = VideoStateVG(model_name0)
|
| 1512 |
+
if state1 is None:
|
| 1513 |
+
state1 = VideoStateVG(model_name1)
|
| 1514 |
+
ip = get_ip(request)
|
| 1515 |
+
vgm_logger.info(f"generate. ip: {ip}")
|
| 1516 |
+
start_tstamp = time.time()
|
| 1517 |
+
model_name0 = ""
|
| 1518 |
+
model_name1 = ""
|
| 1519 |
+
generated_video0, generated_video1, model_name0, model_name1, text = gen_func(model_name0, model_name1)
|
| 1520 |
+
state0.prompt = text
|
| 1521 |
+
state1.prompt = text
|
| 1522 |
+
state0.output = generated_video0
|
| 1523 |
+
state1.output = generated_video1
|
| 1524 |
+
state0.model_name = model_name0
|
| 1525 |
+
state1.model_name = model_name1
|
| 1526 |
+
|
| 1527 |
+
# yield state0, state1, generated_video0, generated_video1, \
|
| 1528 |
+
# gr.Markdown(f"### Model A: {model_name0}"), gr.Markdown(f"### Model B: {model_name1}")
|
| 1529 |
+
|
| 1530 |
+
finish_tstamp = time.time()
|
| 1531 |
+
# logger.info(f"===output===: {output}")
|
| 1532 |
+
|
| 1533 |
+
with open(get_conv_log_filename(), "a") as fout:
|
| 1534 |
+
data = {
|
| 1535 |
+
"tstamp": round(finish_tstamp, 4),
|
| 1536 |
+
"type": "chat",
|
| 1537 |
+
"model": model_name0,
|
| 1538 |
+
"gen_params": {},
|
| 1539 |
+
"start": round(start_tstamp, 4),
|
| 1540 |
+
"finish": round(finish_tstamp, 4),
|
| 1541 |
+
"state": state0.dict(),
|
| 1542 |
+
"ip": get_ip(request),
|
| 1543 |
+
}
|
| 1544 |
+
fout.write(json.dumps(data) + "\n")
|
| 1545 |
+
append_json_item_on_log_server(data, get_conv_log_filename())
|
| 1546 |
+
data = {
|
| 1547 |
+
"tstamp": round(finish_tstamp, 4),
|
| 1548 |
+
"type": "chat",
|
| 1549 |
+
"model": model_name1,
|
| 1550 |
+
"gen_params": {},
|
| 1551 |
+
"start": round(start_tstamp, 4),
|
| 1552 |
+
"finish": round(finish_tstamp, 4),
|
| 1553 |
+
"state": state1.dict(),
|
| 1554 |
+
"ip": get_ip(request),
|
| 1555 |
+
}
|
| 1556 |
+
fout.write(json.dumps(data) + "\n")
|
| 1557 |
+
append_json_item_on_log_server(data, get_conv_log_filename())
|
| 1558 |
+
|
| 1559 |
+
for i, state in enumerate([state0, state1]):
|
| 1560 |
+
output_file = f'{VIDEO_DIR}/generation/{state.conv_id}.mp4'
|
| 1561 |
+
os.makedirs(os.path.dirname(output_file), exist_ok=True)
|
| 1562 |
+
|
| 1563 |
+
r = requests.get(state.output)
|
| 1564 |
+
with open(output_file, 'wb') as outfile:
|
| 1565 |
+
outfile.write(r.content)
|
| 1566 |
+
|
| 1567 |
+
save_video_file_on_log_server(output_file)
|
| 1568 |
+
|
| 1569 |
+
yield state0, state1, f'{VIDEO_DIR}/generation/{state0.conv_id}.mp4', f'{VIDEO_DIR}/generation/{state1.conv_id}.mp4', text,\
|
| 1570 |
gr.Markdown(f"### Model A: {model_name0}", visible=False), gr.Markdown(f"### Model B: {model_name1}", visible=False)
|