---------------------------------------- sd_v1-5 ----------------------------------------
sd_v1-5 |
quality_level |
SSIM |
Conv-Count |
Linear-Count |
sd_v1-5 |
0 |
0.8165556563837066 |
98 |
184 |
sd_v1-5 |
1 |
0.8323949474268865 |
96 |
160 |
sd_v1-5 |
2 |
0.8348702314076454 |
88 |
142 |
sd_v1-5 |
3 |
0.8662256561375715 |
84 |
139 |
sd_v1-5 |
4 |
0.8707190288604787 |
62 |
113 |
---------------------------------------- end ---------------------------------------- |
|
|
|
|
---------------------------------------- sdxl ---------------------------------------- |
|
|
|
|
sdxl |
quality_level |
SSIM |
Conv-Count |
Linear-Count |
---- |
------------- |
------------------ |
---------- |
------------ |
sdxl |
0 |
0.9426063189586985 |
51 |
743 |
sdxl |
1 |
0.9531199491728994 |
49 |
722 |
sdxl |
2 |
0.9615541090957868 |
45 |
659 |
sdxl |
3 |
0.960556455965684 |
42 |
687 |
sdxl |
4 |
0.9626790998577764 |
34 |
500 |
---------------------------------------- end ---------------------------------------- |
|
|
|
|
---------------------------------------- sd_v1-5_deepcache ---------------------------------------- |
|
|
|
|
sd_v1-5_deepcache |
quality_level |
SSIM |
Conv-Count |
Linear-Count |
----------------- |
------------- |
------------------ |
---------- |
------------ |
sd_v1-5_deepcache |
0 |
0.8517729834085559 |
0 |
184 |
sd_v1-5_deepcache |
1 |
0.8469390501432797 |
0 |
160 |
sd_v1-5_deepcache |
2 |
0.8460595799988786 |
0 |
141 |
sd_v1-5_deepcache |
3 |
0.852704767430985 |
0 |
116 |
sd_v1-5_deepcache |
4 |
0.8509655270067743 |
0 |
109 |
---------------------------------------- end ---------------------------------------- |
|
|
|
|
---------------------------------------- sdxl_deepcache ---------------------------------------- |
|
|
|
|
sdxl_deepcache |
quality_level |
SSIM |
Conv-Count |
Linear-Count |
-------------- |
------------- |
------------------ |
---------- |
------------ |
sdxl_deepcache |
0 |
0.8990330836320674 |
0 |
743 |
sdxl_deepcache |
1 |
0.9007828115010863 |
0 |
722 |
sdxl_deepcache |
2 |
0.9045531115486659 |
0 |
653 |
sdxl_deepcache |
3 |
0.9066207210614762 |
0 |
561 |
sdxl_deepcache |
4 |
0.9074547844675099 |
0 |
504 |
---------------------------------------- end ---------------------------------------- |
|
|
|
|
sd_v1-5_deepcache |
PyTorch |
OneDiff |
SSIM |
|
![](https://camo.githubusercontent.com/fc93111758e2ea368025c006a9cea525659507a9c380f90e0c8f1ed50834ff28/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f73645f76312d355f746f7263682e706e67) |
![](https://camo.githubusercontent.com/fc93111758e2ea368025c006a9cea525659507a9c380f90e0c8f1ed50834ff28/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f73645f76312d355f746f7263682e706e67) |
0.8682 |
quality_level: 0 |
![](https://camo.githubusercontent.com/fc93111758e2ea368025c006a9cea525659507a9c380f90e0c8f1ed50834ff28/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f73645f76312d355f746f7263682e706e67) |
![](https://camo.githubusercontent.com/6f41c82d2cc0a245de8c13798cf9ef6585b48093846c8b3066b7c0f2dcfe71c2/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f73645f76312d355f6465657063616368655f302e706e67) |
0.8518 |
quality_level: 1 |
![](https://camo.githubusercontent.com/fc93111758e2ea368025c006a9cea525659507a9c380f90e0c8f1ed50834ff28/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f73645f76312d355f746f7263682e706e67) |
![](https://camo.githubusercontent.com/0a6377a24a5404a72dd7fb95ec84d569d6dc7afb6e137cd6292bcd7759c3e57f/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f73645f76312d355f6465657063616368655f312e706e67) |
0.8469 |
quality_level: 2 |
![](https://camo.githubusercontent.com/fc93111758e2ea368025c006a9cea525659507a9c380f90e0c8f1ed50834ff28/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f73645f76312d355f746f7263682e706e67) |
![](https://camo.githubusercontent.com/7be47b950b5efdc8908bbe737fb6c962f8f9cafb7e5f0a31aba2a6826913eb28/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f73645f76312d355f6465657063616368655f322e706e67) |
0.8461 |
quality_level: 3 |
![](https://camo.githubusercontent.com/fc93111758e2ea368025c006a9cea525659507a9c380f90e0c8f1ed50834ff28/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f73645f76312d355f746f7263682e706e67) |
![](https://camo.githubusercontent.com/42bdf60df7b2301d03fbec30512c907f3f603dfd13925de8c2fb3d3c984cd071/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f73645f76312d355f6465657063616368655f332e706e67) |
0.8527 |
quality_level: 4 |
![](https://camo.githubusercontent.com/fc93111758e2ea368025c006a9cea525659507a9c380f90e0c8f1ed50834ff28/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f73645f76312d355f746f7263682e706e67) |
![](https://camo.githubusercontent.com/ce21a56b0d7603ec2966c19a97b883a965f2085ca48f75ccca39c4e89a7a8563/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f73645f76312d355f6465657063616368655f342e706e67) |
0.8510 |
sdxl_deepcache |
PyTorch |
OneDiff |
SSIM |
|
![](https://camo.githubusercontent.com/b58b1b16e5163c543d78b1bee35088470fbd5e06b33c29766880e889707b9a10/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f7364786c5f746f7263682e706e67) |
![](https://camo.githubusercontent.com/b58b1b16e5163c543d78b1bee35088470fbd5e06b33c29766880e889707b9a10/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f7364786c5f746f7263682e706e67) |
0.9061 |
quality_level: 0 |
![](https://camo.githubusercontent.com/b58b1b16e5163c543d78b1bee35088470fbd5e06b33c29766880e889707b9a10/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f7364786c5f746f7263682e706e67) |
![](https://camo.githubusercontent.com/6612d877bc15d8364604aea6f289cca75a0bd0483d97cc2b242f0ebb419d148c/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f7364786c5f6465657063616368655f302e706e67) |
0.8990 |
quality_level: 1 |
![](https://camo.githubusercontent.com/b58b1b16e5163c543d78b1bee35088470fbd5e06b33c29766880e889707b9a10/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f7364786c5f746f7263682e706e67) |
![](https://camo.githubusercontent.com/1db90e1eb4599b92d411eb062124d73895ef5da1d5fd17fe5bfc0ce5250d02db/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f7364786c5f6465657063616368655f312e706e67) |
0.9008 |
quality_level: 2 |
![](https://camo.githubusercontent.com/b58b1b16e5163c543d78b1bee35088470fbd5e06b33c29766880e889707b9a10/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f7364786c5f746f7263682e706e67) |
![](https://camo.githubusercontent.com/6f04b7c3eca7ee1419e24e0ed5cdd36bf41c29f123bdc473af8f95106875fe68/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f7364786c5f6465657063616368655f322e706e67) |
0.9046 |
quality_level: 3 |
![](https://camo.githubusercontent.com/b58b1b16e5163c543d78b1bee35088470fbd5e06b33c29766880e889707b9a10/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f7364786c5f746f7263682e706e67) |
![](https://camo.githubusercontent.com/8e48382feabda43a8b20ecc6fd3bb72dcf0d45481a806827de77bbe619dcb174/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f7364786c5f6465657063616368655f332e706e67) |
0.9066 |
quality_level: 4 |
![](https://camo.githubusercontent.com/b58b1b16e5163c543d78b1bee35088470fbd5e06b33c29766880e889707b9a10/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f7364786c5f746f7263682e706e67) |
![](https://camo.githubusercontent.com/df6d3348348ceeafd845f0308a2e9839d5efd299f4645ccc5a278382522c6d18/68747470733a2f2f63637373752e6769746875622e696f2f6769745f70616765732e696f2f7364786c5f6465657063616368655f342e706e67) |
0.9075 |