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Add reference OpenVINO IRs Generated with: - transformers==5.10.4 - optimum-intel==2.3.0.dev0+3329b15b - openvino==2026.5.0-23326

#3
by h0witended - opened
base: refs/heads/ov
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from: refs/pr/3
Discussion Files changed
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Files changed (23) hide show
  1. README.md +0 -3
  2. metadata.json +3 -3
  3. model_index.json +0 -24
  4. scheduler/scheduler_config.json +0 -18
  5. text_encoder/config.json +0 -37
  6. text_encoder/model.safetensors +0 -3
  7. text_encoder/openvino_model.bin +2 -2
  8. text_encoder/openvino_model.xml +113 -113
  9. tokenizer/chat_template.jinja +0 -89
  10. tokenizer/merges.txt +0 -262
  11. tokenizer/tokenizer.json +0 -1864
  12. tokenizer/tokenizer_config.json +0 -12
  13. tokenizer/vocab.json +0 -1
  14. transformer/config.json +0 -32
  15. transformer/diffusion_pytorch_model.safetensors +0 -3
  16. transformer/openvino_model.bin +2 -2
  17. transformer/openvino_model.xml +0 -0
  18. vae/config.json +0 -37
  19. vae/diffusion_pytorch_model.safetensors +0 -3
  20. vae_decoder/openvino_model.bin +2 -2
  21. vae_decoder/openvino_model.xml +56 -56
  22. vae_encoder/openvino_model.bin +2 -2
  23. vae_encoder/openvino_model.xml +29 -29
README.md DELETED
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- ---
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- license: apache-2.0
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- ---
 
 
 
 
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1433
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1434
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1435
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1436
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1437
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1439
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1440
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1441
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1442
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1443
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1444
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1445
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1447
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1448
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1449
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1450
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1451
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1452
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1453
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1455
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1456
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1457
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1458
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1459
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1460
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1461
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1568
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1569
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1570
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1571
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1572
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1573
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1574
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1597
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1598
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1599
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1600
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1601
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1602
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1603
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1604
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1627
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1628
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1629
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1630
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1631
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1632
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1633
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@@ -1656,13 +1656,13 @@
1656
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1657
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1658
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1659
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1660
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1661
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1663
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1664
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1665
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1666
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1667
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1668
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1691
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1692
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1693
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1694
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1695
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1696
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1697
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1698
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1699
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1700
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1701
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1702
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1703
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1704
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1705
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@@ -1731,7 +1731,7 @@
1731
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1732
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1733
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1734
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1735
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1736
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1737
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@@ -1750,13 +1750,13 @@
1750
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1751
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1752
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1753
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1754
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1755
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1756
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1757
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1758
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1759
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1760
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1761
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1762
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1775
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1776
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1777
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1778
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1779
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1780
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1781
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1782
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1783
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1784
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1785
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1786
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1787
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@@ -1814,7 +1814,7 @@
1814
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1815
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1816
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1817
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1818
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1819
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1820
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@@ -1834,7 +1834,7 @@
1834
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1835
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1836
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1837
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1838
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1839
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1840
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@@ -1856,7 +1856,7 @@
1856
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1857
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1858
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1859
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1860
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1861
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1862
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@@ -1939,21 +1939,21 @@
1939
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1940
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1941
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1942
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1943
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1944
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1945
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1946
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1947
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1948
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1949
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1950
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1951
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1952
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1953
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1954
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1955
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1956
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1957
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1958
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1959
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@@ -1970,7 +1970,7 @@
1970
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1971
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1972
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1973
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1974
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1975
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1976
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@@ -1983,7 +1983,7 @@
1983
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1984
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1985
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1986
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1987
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1988
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1989
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@@ -2003,8 +2003,8 @@
2003
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2004
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2005
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2006
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2007
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2008
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2009
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2010
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@@ -2070,19 +2070,19 @@
2070
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2071
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2072
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2073
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2074
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2075
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2076
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2077
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2078
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2079
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2080
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2081
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2082
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2083
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2084
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2085
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2086
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2087
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2088
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@@ -2096,7 +2096,7 @@
2096
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2097
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2098
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2099
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2100
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2101
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2102
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@@ -2115,7 +2115,7 @@
2115
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2116
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2117
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2118
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2119
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2120
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2121
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@@ -2135,7 +2135,7 @@
2135
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2136
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2137
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2138
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2139
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2140
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2141
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2157
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2158
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2159
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2160
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2161
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2162
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2163
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2294
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2295
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2296
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2297
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2298
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2299
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2300
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2301
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@@ -2382,15 +2382,15 @@
2382
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2383
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2384
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2385
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2386
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2387
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2388
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2389
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2390
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2391
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2392
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2393
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2394
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2395
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2396
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@@ -2404,8 +2404,8 @@
2404
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2405
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2406
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2407
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2408
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2409
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2410
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2411
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@@ -2457,7 +2457,7 @@
2457
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2458
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2459
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2460
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2461
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2462
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2463
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@@ -2501,7 +2501,7 @@
2501
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2502
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2503
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2504
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2505
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2506
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2507
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@@ -2529,8 +2529,8 @@
2529
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2530
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2531
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2532
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2533
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2534
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2535
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2536
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2559
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2560
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2561
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2562
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2563
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2564
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2565
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2610
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2611
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2612
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2613
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2614
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2615
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2616
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2620
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2621
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2622
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2623
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2624
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2625
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2626
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2653
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2654
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2655
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2656
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2657
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2658
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2659
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2680
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2681
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2682
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2683
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2684
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2685
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2686
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2687
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@@ -2773,7 +2773,7 @@
2773
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2774
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2775
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2776
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2777
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2778
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2779
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@@ -2819,7 +2819,7 @@
2819
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2820
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2821
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2822
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2823
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2824
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2825
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@@ -2871,7 +2871,7 @@
2871
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2872
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2873
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2875
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2876
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2877
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2922
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2923
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2924
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2925
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2926
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2927
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2928
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3168
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3169
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3173
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3174
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3175
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3176
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3177
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3178
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3179
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3180
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3181
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3182
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3183
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3184
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70
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71
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72
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73
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74
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76
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80
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81
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82
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83
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84
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85
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86
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113
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114
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115
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116
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118
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119
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140
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141
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142
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143
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144
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146
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147
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233
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234
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235
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236
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238
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239
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262
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263
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264
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265
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266
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268
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269
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291
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292
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293
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294
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295
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297
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302
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303
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304
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305
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306
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308
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339
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340
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341
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342
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344
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345
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368
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369
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370
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371
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372
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373
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374
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375
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473
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474
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475
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476
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477
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478
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479
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502
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2501
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2529
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2610
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2620
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2680
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2681
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2773
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2819
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3168
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tokenizer/chat_template.jinja DELETED
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- {%- if tools %}
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- {{- '<|im_start|>system\n' }}
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- {%- if messages[0].role == 'system' %}
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- {{- messages[0].content + '\n\n' }}
5
- {%- endif %}
6
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7
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66
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68
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69
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71
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73
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74
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75
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76
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78
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79
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81
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84
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85
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86
- {%- if enable_thinking is defined and enable_thinking is false %}
87
- {{- '<think>\n\n</think>\n\n' }}
88
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89
- {%- endif %}
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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168
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181
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182
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184
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185
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209
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- AB CD
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- EF GH
214
- IJ KL
215
- MN OP
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- QR ST
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- UV WX
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- cap e
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- dra matic
220
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221
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- kl mnop
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- ron aut
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- wx yz
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- {} '"/\@#$
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232
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233
- Ġqu iet
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235
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238
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239
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- Ġabcde fghij
250
- %&*+ =<>|~
251
- ABCD EFGH
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254
- klmnop qrstuv
255
- {}'"/\@#$ %&*+=<>|~
256
- Ġ.,:;!?-()[] {}'"/\@#$%&*+=<>|~
257
- Ġabcdefghij klmnopqrstuv
258
- ABCDEFGH IJKLMNOP
259
- QRSTUVWX YZ
260
- Ġ.,:;!?-()[]{}'"/\@#$%&*+=<>|~ `^_
261
- Ġabcdefghijklmnopqrstuv wxyz
262
- ABCDEFGHIJKLMNOP QRSTUVWXYZ
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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517
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@@ -540,8 +540,8 @@
540
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541
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542
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543
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544
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545
  <output>
546
  <port id="0" precision="I64">
547
  <dim>4</dim>
@@ -569,8 +569,8 @@
569
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570
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571
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572
- <layer id="37" name="Constant_50432" type="Const" version="opset1">
573
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574
  <output>
575
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576
  <dim>4</dim>
@@ -600,7 +600,7 @@
600
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601
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602
  <layer id="39" name="self.decoder.mid_block.attentions.0.to_v.weight" type="Const" version="opset1">
603
- <data element_type="f32" shape="32, 32" offset="101732" size="4096" />
604
  <output>
605
  <port id="0" precision="FP32" names="self.decoder.mid_block.attentions.0.to_v.weight">
606
  <dim>32</dim>
@@ -629,8 +629,8 @@
629
  </port>
630
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631
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632
- <layer id="41" name="Constant_51128" type="Const" version="opset1">
633
- <data element_type="i64" shape="4" offset="97572" size="32" />
634
  <output>
635
  <port id="0" precision="I64">
636
  <dim>4</dim>
@@ -658,8 +658,8 @@
658
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659
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660
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661
- <layer id="43" name="Constant_50434" type="Const" version="opset1">
662
- <data element_type="i64" shape="4" offset="97604" size="32" />
663
  <output>
664
  <port id="0" precision="I64">
665
  <dim>4</dim>
@@ -719,8 +719,8 @@
719
  </port>
720
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721
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722
- <layer id="46" name="Constant_50436" type="Const" version="opset1">
723
- <data element_type="i64" shape="4" offset="105828" size="32" />
724
  <output>
725
  <port id="0" precision="I64">
726
  <dim>4</dim>
@@ -749,8 +749,8 @@
749
  </port>
750
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751
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752
- <layer id="48" name="Constant_51129" type="Const" version="opset1">
753
- <data element_type="i64" shape="3" offset="105860" size="24" />
754
  <output>
755
  <port id="0" precision="I64">
756
  <dim>3</dim>
@@ -779,7 +779,7 @@
779
  </output>
780
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781
  <layer id="50" name="self.decoder.mid_block.attentions.0.to_out.0.weight" type="Const" version="opset1">
782
- <data element_type="f32" shape="32, 32" offset="105884" size="4096" />
783
  <output>
784
  <port id="0" precision="FP32" names="self.decoder.mid_block.attentions.0.to_out.0.weight">
785
  <dim>32</dim>
@@ -957,7 +957,7 @@
957
  </output>
958
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959
  <layer id="61" name="self.decoder.mid_block.resnets.1.conv1.weight" type="Const" version="opset1">
960
- <data element_type="f32" shape="32, 32, 3, 3" offset="109980" size="36864" />
961
  <output>
962
  <port id="0" precision="FP32" names="self.decoder.mid_block.resnets.1.conv1.weight">
963
  <dim>32</dim>
@@ -1052,7 +1052,7 @@
1052
  </output>
1053
  </layer>
1054
  <layer id="67" name="self.decoder.mid_block.resnets.1.conv2.weight" type="Const" version="opset1">
1055
- <data element_type="f32" shape="32, 32, 3, 3" offset="146844" size="36864" />
1056
  <output>
1057
  <port id="0" precision="FP32" names="self.decoder.mid_block.resnets.1.conv2.weight">
1058
  <dim>32</dim>
@@ -1172,7 +1172,7 @@
1172
  </output>
1173
  </layer>
1174
  <layer id="74" name="self.decoder.up_blocks.0.resnets.0.conv1.weight" type="Const" version="opset1">
1175
- <data element_type="f32" shape="32, 32, 3, 3" offset="183708" size="36864" />
1176
  <output>
1177
  <port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.0.conv1.weight">
1178
  <dim>32</dim>
@@ -1267,7 +1267,7 @@
1267
  </output>
1268
  </layer>
1269
  <layer id="80" name="self.decoder.up_blocks.0.resnets.0.conv2.weight" type="Const" version="opset1">
1270
- <data element_type="f32" shape="32, 32, 3, 3" offset="220572" size="36864" />
1271
  <output>
1272
  <port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.0.conv2.weight">
1273
  <dim>32</dim>
@@ -1387,7 +1387,7 @@
1387
  </output>
1388
  </layer>
1389
  <layer id="87" name="self.decoder.up_blocks.0.resnets.1.conv1.weight" type="Const" version="opset1">
1390
- <data element_type="f32" shape="32, 32, 3, 3" offset="257436" size="36864" />
1391
  <output>
1392
  <port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.1.conv1.weight">
1393
  <dim>32</dim>
@@ -1482,7 +1482,7 @@
1482
  </output>
1483
  </layer>
1484
  <layer id="93" name="self.decoder.up_blocks.0.resnets.1.conv2.weight" type="Const" version="opset1">
1485
- <data element_type="f32" shape="32, 32, 3, 3" offset="294300" size="36864" />
1486
  <output>
1487
  <port id="0" precision="FP32" names="self.decoder.up_blocks.0.resnets.1.conv2.weight">
1488
  <dim>32</dim>
@@ -1543,15 +1543,15 @@
1543
  </output>
1544
  </layer>
1545
  <layer id="96" name="__module.decoder.up_blocks.0.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
1546
- <data element_type="f32" shape="2" offset="331164" size="8" />
1547
  <output>
1548
  <port id="0" precision="FP32">
1549
  <dim>2</dim>
1550
  </port>
1551
  </output>
1552
  </layer>
1553
- <layer id="97" name="Constant_45721" type="Const" version="opset1">
1554
- <data element_type="i32" shape="2" offset="331172" size="8" />
1555
  <output>
1556
  <port id="0" precision="I32">
1557
  <dim>2</dim>
@@ -1584,7 +1584,7 @@
1584
  </output>
1585
  </layer>
1586
  <layer id="99" name="self.decoder.up_blocks.0.upsamplers.0.conv.weight" type="Const" version="opset1">
1587
- <data element_type="f32" shape="32, 32, 3, 3" offset="331180" size="36864" />
1588
  <output>
1589
  <port id="0" precision="FP32" names="self.decoder.up_blocks.0.upsamplers.0.conv.weight">
1590
  <dim>32</dim>
@@ -1679,7 +1679,7 @@
1679
  </output>
1680
  </layer>
1681
  <layer id="105" name="self.decoder.up_blocks.1.resnets.0.conv1.weight" type="Const" version="opset1">
1682
- <data element_type="f32" shape="32, 32, 3, 3" offset="368044" size="36864" />
1683
  <output>
1684
  <port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.0.conv1.weight">
1685
  <dim>32</dim>
@@ -1774,7 +1774,7 @@
1774
  </output>
1775
  </layer>
1776
  <layer id="111" name="self.decoder.up_blocks.1.resnets.0.conv2.weight" type="Const" version="opset1">
1777
- <data element_type="f32" shape="32, 32, 3, 3" offset="404908" size="36864" />
1778
  <output>
1779
  <port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.0.conv2.weight">
1780
  <dim>32</dim>
@@ -1894,7 +1894,7 @@
1894
  </output>
1895
  </layer>
1896
  <layer id="118" name="self.decoder.up_blocks.1.resnets.1.conv1.weight" type="Const" version="opset1">
1897
- <data element_type="f32" shape="32, 32, 3, 3" offset="441772" size="36864" />
1898
  <output>
1899
  <port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.1.conv1.weight">
1900
  <dim>32</dim>
@@ -1989,7 +1989,7 @@
1989
  </output>
1990
  </layer>
1991
  <layer id="124" name="self.decoder.up_blocks.1.resnets.1.conv2.weight" type="Const" version="opset1">
1992
- <data element_type="f32" shape="32, 32, 3, 3" offset="478636" size="36864" />
1993
  <output>
1994
  <port id="0" precision="FP32" names="self.decoder.up_blocks.1.resnets.1.conv2.weight">
1995
  <dim>32</dim>
@@ -2050,15 +2050,15 @@
2050
  </output>
2051
  </layer>
2052
  <layer id="127" name="__module.decoder.up_blocks.1.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
2053
- <data element_type="f32" shape="2" offset="331164" size="8" />
2054
  <output>
2055
  <port id="0" precision="FP32">
2056
  <dim>2</dim>
2057
  </port>
2058
  </output>
2059
  </layer>
2060
- <layer id="128" name="Constant_46046" type="Const" version="opset1">
2061
- <data element_type="i32" shape="2" offset="331172" size="8" />
2062
  <output>
2063
  <port id="0" precision="I32">
2064
  <dim>2</dim>
@@ -2091,7 +2091,7 @@
2091
  </output>
2092
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2093
  <layer id="130" name="self.decoder.up_blocks.1.upsamplers.0.conv.weight" type="Const" version="opset1">
2094
- <data element_type="f32" shape="32, 32, 3, 3" offset="515500" size="36864" />
2095
  <output>
2096
  <port id="0" precision="FP32" names="self.decoder.up_blocks.1.upsamplers.0.conv.weight">
2097
  <dim>32</dim>
@@ -2186,7 +2186,7 @@
2186
  </output>
2187
  </layer>
2188
  <layer id="136" name="self.decoder.up_blocks.2.resnets.0.conv1.weight" type="Const" version="opset1">
2189
- <data element_type="f32" shape="32, 32, 3, 3" offset="552364" size="36864" />
2190
  <output>
2191
  <port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.0.conv1.weight">
2192
  <dim>32</dim>
@@ -2281,7 +2281,7 @@
2281
  </output>
2282
  </layer>
2283
  <layer id="142" name="self.decoder.up_blocks.2.resnets.0.conv2.weight" type="Const" version="opset1">
2284
- <data element_type="f32" shape="32, 32, 3, 3" offset="589228" size="36864" />
2285
  <output>
2286
  <port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.0.conv2.weight">
2287
  <dim>32</dim>
@@ -2401,7 +2401,7 @@
2401
  </output>
2402
  </layer>
2403
  <layer id="149" name="self.decoder.up_blocks.2.resnets.1.conv1.weight" type="Const" version="opset1">
2404
- <data element_type="f32" shape="32, 32, 3, 3" offset="626092" size="36864" />
2405
  <output>
2406
  <port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.1.conv1.weight">
2407
  <dim>32</dim>
@@ -2496,7 +2496,7 @@
2496
  </output>
2497
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2498
  <layer id="155" name="self.decoder.up_blocks.2.resnets.1.conv2.weight" type="Const" version="opset1">
2499
- <data element_type="f32" shape="32, 32, 3, 3" offset="662956" size="36864" />
2500
  <output>
2501
  <port id="0" precision="FP32" names="self.decoder.up_blocks.2.resnets.1.conv2.weight">
2502
  <dim>32</dim>
@@ -2557,15 +2557,15 @@
2557
  </output>
2558
  </layer>
2559
  <layer id="158" name="__module.decoder.up_blocks.2.upsamplers.0/aten::upsample_nearest2d/Multiply" type="Const" version="opset1">
2560
- <data element_type="f32" shape="2" offset="331164" size="8" />
2561
  <output>
2562
  <port id="0" precision="FP32">
2563
  <dim>2</dim>
2564
  </port>
2565
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2566
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2567
- <layer id="159" name="Constant_46371" type="Const" version="opset1">
2568
- <data element_type="i32" shape="2" offset="331172" size="8" />
2569
  <output>
2570
  <port id="0" precision="I32">
2571
  <dim>2</dim>
@@ -2598,7 +2598,7 @@
2598
  </output>
2599
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2600
  <layer id="161" name="self.decoder.up_blocks.2.upsamplers.0.conv.weight" type="Const" version="opset1">
2601
- <data element_type="f32" shape="32, 32, 3, 3" offset="699820" size="36864" />
2602
  <output>
2603
  <port id="0" precision="FP32" names="self.decoder.up_blocks.2.upsamplers.0.conv.weight">
2604
  <dim>32</dim>
@@ -2693,7 +2693,7 @@
2693
  </output>
2694
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2695
  <layer id="167" name="self.decoder.up_blocks.3.resnets.0.conv1.weight" type="Const" version="opset1">
2696
- <data element_type="f32" shape="32, 32, 3, 3" offset="736684" size="36864" />
2697
  <output>
2698
  <port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.0.conv1.weight">
2699
  <dim>32</dim>
@@ -2788,7 +2788,7 @@
2788
  </output>
2789
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2790
  <layer id="173" name="self.decoder.up_blocks.3.resnets.0.conv2.weight" type="Const" version="opset1">
2791
- <data element_type="f32" shape="32, 32, 3, 3" offset="773548" size="36864" />
2792
  <output>
2793
  <port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.0.conv2.weight">
2794
  <dim>32</dim>
@@ -2908,7 +2908,7 @@
2908
  </output>
2909
  </layer>
2910
  <layer id="180" name="self.decoder.up_blocks.3.resnets.1.conv1.weight" type="Const" version="opset1">
2911
- <data element_type="f32" shape="32, 32, 3, 3" offset="810412" size="36864" />
2912
  <output>
2913
  <port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.1.conv1.weight">
2914
  <dim>32</dim>
@@ -3003,7 +3003,7 @@
3003
  </output>
3004
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3005
  <layer id="186" name="self.decoder.up_blocks.3.resnets.1.conv2.weight" type="Const" version="opset1">
3006
- <data element_type="f32" shape="32, 32, 3, 3" offset="847276" size="36864" />
3007
  <output>
3008
  <port id="0" precision="FP32" names="self.decoder.up_blocks.3.resnets.1.conv2.weight">
3009
  <dim>32</dim>
@@ -3123,7 +3123,7 @@
3123
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3124
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3125
  <layer id="193" name="self.decoder.conv_out.weight" type="Const" version="opset1">
3126
- <data element_type="f32" shape="3, 32, 3, 3" offset="884140" size="3456" />
3127
  <output>
3128
  <port id="0" precision="FP32" names="self.decoder.conv_out.weight">
3129
  <dim>3</dim>
@@ -3158,7 +3158,7 @@
3158
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3159
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3160
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3161
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3162
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3163
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3164
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@@ -3381,17 +3381,17 @@
3381
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3382
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3383
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3384
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3385
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3386
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3387
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3388
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3389
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3390
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3391
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3392
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3393
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3394
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3395
  <transformers_version value="5.10.4" />
3396
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3397
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299
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300
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301
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302
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303
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304
  <output>
305
  <port id="0" precision="I64">
 
451
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452
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453
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454
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455
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456
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457
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458
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480
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481
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482
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483
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484
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485
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486
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487
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511
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512
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513
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514
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515
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516
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517
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540
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541
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542
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543
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544
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545
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546
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547
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569
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570
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571
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572
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573
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575
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576
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600
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601
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602
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603
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604
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605
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606
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629
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630
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631
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632
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633
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634
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635
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636
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658
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659
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660
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661
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662
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663
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664
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665
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719
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720
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721
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722
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723
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724
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725
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726
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749
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750
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751
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752
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753
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754
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755
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756
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779
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780
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781
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782
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783
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784
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785
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957
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958
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1236
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1237
  <port id="0" precision="I64">
 
1383
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1384
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1385
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1386
+ <layer id="85" name="Constant_42962" type="Const" version="opset1">
1387
+ <data element_type="i64" shape="4" offset="487080" size="32" />
1388
  <output>
1389
  <port id="0" precision="I64">
1390
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1412
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1413
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1414
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1415
+ <layer id="87" name="Constant_42299" type="Const" version="opset1">
1416
+ <data element_type="i64" shape="4" offset="487112" size="32" />
1417
  <output>
1418
  <port id="0" precision="I64">
1419
  <dim>4</dim>
 
1443
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1444
  </layer>
1445
  <layer id="89" name="self.encoder.mid_block.attentions.0.to_k.weight" type="Const" version="opset1">
1446
+ <data element_type="f32" shape="32, 32" offset="487144" size="4096" />
1447
  <output>
1448
  <port id="0" precision="FP32" names="self.encoder.mid_block.attentions.0.to_k.weight">
1449
  <dim>32</dim>
 
1472
  </port>
1473
  </output>
1474
  </layer>
1475
+ <layer id="91" name="Constant_42963" type="Const" version="opset1">
1476
+ <data element_type="i64" shape="4" offset="487080" size="32" />
1477
  <output>
1478
  <port id="0" precision="I64">
1479
  <dim>4</dim>
 
1501
  </port>
1502
  </output>
1503
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1504
+ <layer id="93" name="Constant_42301" type="Const" version="opset1">
1505
+ <data element_type="i64" shape="4" offset="487112" size="32" />
1506
  <output>
1507
  <port id="0" precision="I64">
1508
  <dim>4</dim>
 
1532
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1533
  </layer>
1534
  <layer id="95" name="self.encoder.mid_block.attentions.0.to_v.weight" type="Const" version="opset1">
1535
+ <data element_type="f32" shape="32, 32" offset="491240" size="4096" />
1536
  <output>
1537
  <port id="0" precision="FP32" names="self.encoder.mid_block.attentions.0.to_v.weight">
1538
  <dim>32</dim>
 
1561
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1562
  </output>
1563
  </layer>
1564
+ <layer id="97" name="Constant_42964" type="Const" version="opset1">
1565
+ <data element_type="i64" shape="4" offset="487080" size="32" />
1566
  <output>
1567
  <port id="0" precision="I64">
1568
  <dim>4</dim>
 
1590
  </port>
1591
  </output>
1592
  </layer>
1593
+ <layer id="99" name="Constant_42303" type="Const" version="opset1">
1594
+ <data element_type="i64" shape="4" offset="487112" size="32" />
1595
  <output>
1596
  <port id="0" precision="I64">
1597
  <dim>4</dim>
 
1651
  </port>
1652
  </output>
1653
  </layer>
1654
+ <layer id="102" name="Constant_42305" type="Const" version="opset1">
1655
+ <data element_type="i64" shape="4" offset="495336" size="32" />
1656
  <output>
1657
  <port id="0" precision="I64">
1658
  <dim>4</dim>
 
1681
  </port>
1682
  </output>
1683
  </layer>
1684
+ <layer id="104" name="Constant_42965" type="Const" version="opset1">
1685
+ <data element_type="i64" shape="3" offset="495368" size="24" />
1686
  <output>
1687
  <port id="0" precision="I64">
1688
  <dim>3</dim>
 
1711
  </output>
1712
  </layer>
1713
  <layer id="106" name="self.encoder.mid_block.attentions.0.to_out.0.weight" type="Const" version="opset1">
1714
+ <data element_type="f32" shape="32, 32" offset="495392" size="4096" />
1715
  <output>
1716
  <port id="0" precision="FP32" names="self.encoder.mid_block.attentions.0.to_out.0.weight">
1717
  <dim>32</dim>
 
1889
  </output>
1890
  </layer>
1891
  <layer id="117" name="self.encoder.mid_block.resnets.1.conv1.weight" type="Const" version="opset1">
1892
+ <data element_type="f32" shape="32, 32, 3, 3" offset="499488" size="36864" />
1893
  <output>
1894
  <port id="0" precision="FP32" names="self.encoder.mid_block.resnets.1.conv1.weight">
1895
  <dim>32</dim>
 
1984
  </output>
1985
  </layer>
1986
  <layer id="123" name="self.encoder.mid_block.resnets.1.conv2.weight" type="Const" version="opset1">
1987
+ <data element_type="f32" shape="32, 32, 3, 3" offset="536352" size="36864" />
1988
  <output>
1989
  <port id="0" precision="FP32" names="self.encoder.mid_block.resnets.1.conv2.weight">
1990
  <dim>32</dim>
 
2104
  </output>
2105
  </layer>
2106
  <layer id="130" name="self.encoder.conv_out.weight" type="Const" version="opset1">
2107
+ <data element_type="f32" shape="32, 32, 3, 3" offset="573216" size="36864" />
2108
  <output>
2109
  <port id="0" precision="FP32" names="self.encoder.conv_out.weight">
2110
  <dim>32</dim>
 
2140
  </output>
2141
  </layer>
2142
  <layer id="132" name="self.quant_conv.weight" type="Const" version="opset1">
2143
+ <data element_type="f32" shape="32, 32, 1, 1" offset="610080" size="4096" />
2144
  <output>
2145
  <port id="0" precision="FP32" names="self.quant_conv.weight">
2146
  <dim>32</dim>
 
2175
  </port>
2176
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2177
  </layer>
2178
+ <layer id="134" name="Result_39130" type="Result" version="opset1" output_names="latent_parameters">
2179
  <input>
2180
  <port id="0" precision="FP32">
2181
  <dim>-1</dim>
 
2333
  <edge from-layer="133" from-port="2" to-layer="134" to-port="0" />
2334
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2335
  <rt_info>
2336
+ <info name="OpenVINO Runtime" value="2026.5.0-23326-6ce8fccc044" />
2337
+ <Runtime_version value="2026.5.0-23326-6ce8fccc044" />
2338
  <conversion_parameters>
2339
  <framework value="pytorch" />
2340
  <is_python_object value="True" />
2341
  </conversion_parameters>
2342
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2343
  <diffusers_version value="0.40.0" />
2344
+ <optimum_intel_version value="2.3.0.dev0+3329b15b" />
2345
  <optimum_version value="2.3.0" />
2346
+ <pytorch_version value="2.14.1" />
2347
  <transformers_version value="5.10.4" />
2348
  </optimum>
2349
  <runtime_options>