Sync 5 new model versions from Civitai (Batch 5/7)

Penis_Lora_Blowjob_Cumshot_Taz_-_WAN_2_2_14b_5B_1_3b_T2V__I2V_Wan_2_1__2_2__Qwen/Wan_Video_14B_t2v/PENISLORA_epoch42e62e30e16.safetensors

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README.md

@@ -440,5 +440,41 @@ A collection of models downloaded from Civitai. Click on a card to browse the fi
 <p style="margin: 4px 0 0 0; font-size: 0.9em; text-shadow: 1px 1px 3px rgba(0,0,0,0.8);">FEMgem</p>
 </div>
 </a></div>
+<div style="display: flex; flex-direction: column;"><a href="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2V/tree/main/Penis_Lora_Blowjob_Cumshot_Taz_-_WAN_2_2_14b_5B_1_3b_T2V__I2V_Wan_2_1__2_2__Qwen" style="display: block; position: relative; width: 200px; height: 250px; border-radius: 8px; overflow: hidden; text-decoration: none; color: white; background-image: url('https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/57ED18CF4E82C1BC83D5E536BE44A0BC137EB88D13D5258155C30B1B81DDD3E2_3ea72d1a.gif'); background-size: cover; background-position: center; box-shadow: 0 4px 6px -1px rgba(0,0,0,0.1);">
+<div style="position: absolute; top: 0; left: 0; right: 0; bottom: 0; background: linear-gradient(to top, rgba(0,0,0,0.85) 0%, rgba(0,0,0,0) 60%); display: flex; flex-direction: column; justify-content: flex-end; padding: 12px; text-align: left;">
+<h3 style="margin: 0; font-size: 1.1em; text-shadow: 1px 1px 3px rgba(0,0,0,0.8);">Penis Lora (+Blowjob, +Cumshot) [Taz]  - WAN 2.2 14b / 5B / 1.3b T2V & I2V (Wan 2.1 & 2.2) + Qwen</h3>
+<p style="margin: 4px 0 0 0; font-size: 0.9em; text-shadow: 1px 1px 3px rgba(0,0,0,0.8);">tazmannner379</p>
+</div>
+</a><details style="width: 200px; margin-top: 8px;">
+<summary style="cursor: pointer; font-size: 0.9em; text-align: center; padding: 4px; border: 1px solid #d1d5db; border-radius: 6px;">View 19 More Previews</summary>
+<div style="padding-top: 8px;"><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/57ED18CF4E82C1BC83D5E536BE44A0BC137EB88D13D5258155C30B1B81DDD3E2_e13ac742.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/57ED18CF4E82C1BC83D5E536BE44A0BC137EB88D13D5258155C30B1B81DDD3E2_9afce628.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/57ED18CF4E82C1BC83D5E536BE44A0BC137EB88D13D5258155C30B1B81DDD3E2_457d62bb.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/57ED18CF4E82C1BC83D5E536BE44A0BC137EB88D13D5258155C30B1B81DDD3E2_c0ecad64.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/57ED18CF4E82C1BC83D5E536BE44A0BC137EB88D13D5258155C30B1B81DDD3E2_8be6df0f.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/57ED18CF4E82C1BC83D5E536BE44A0BC137EB88D13D5258155C30B1B81DDD3E2_9b876e06.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/57ED18CF4E82C1BC83D5E536BE44A0BC137EB88D13D5258155C30B1B81DDD3E2_4c11bfce.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/57ED18CF4E82C1BC83D5E536BE44A0BC137EB88D13D5258155C30B1B81DDD3E2_2fba76c1.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/57ED18CF4E82C1BC83D5E536BE44A0BC137EB88D13D5258155C30B1B81DDD3E2_21b8636b.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/57ED18CF4E82C1BC83D5E536BE44A0BC137EB88D13D5258155C30B1B81DDD3E2_4b1d27a4.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/57ED18CF4E82C1BC83D5E536BE44A0BC137EB88D13D5258155C30B1B81DDD3E2_5e7181c7.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/57ED18CF4E82C1BC83D5E536BE44A0BC137EB88D13D5258155C30B1B81DDD3E2_140694d9.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/57ED18CF4E82C1BC83D5E536BE44A0BC137EB88D13D5258155C30B1B81DDD3E2_93e138de.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/57ED18CF4E82C1BC83D5E536BE44A0BC137EB88D13D5258155C30B1B81DDD3E2_2ca41d2e.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/57ED18CF4E82C1BC83D5E536BE44A0BC137EB88D13D5258155C30B1B81DDD3E2_35c4517f.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/57ED18CF4E82C1BC83D5E536BE44A0BC137EB88D13D5258155C30B1B81DDD3E2_83c0514a.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/57ED18CF4E82C1BC83D5E536BE44A0BC137EB88D13D5258155C30B1B81DDD3E2_131e739a.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/57ED18CF4E82C1BC83D5E536BE44A0BC137EB88D13D5258155C30B1B81DDD3E2_c42c93b7.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/57ED18CF4E82C1BC83D5E536BE44A0BC137EB88D13D5258155C30B1B81DDD3E2_4faee561.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /></div>
+</details></div>
+<div style="display: flex; flex-direction: column;"><a href="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2V/tree/main/Retro_90s_Anime_Golden_Boy_Style_Lora_Wan_2_2_14B" style="display: block; position: relative; width: 200px; height: 250px; border-radius: 8px; overflow: hidden; text-decoration: none; color: white; background-image: url('https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/6FA68A68216AD07095ED6917D5404EF197DA14293988C2EA767BD70DB25FE2EF_f049f635.gif'); background-size: cover; background-position: center; box-shadow: 0 4px 6px -1px rgba(0,0,0,0.1);">
+<div style="position: absolute; top: 0; left: 0; right: 0; bottom: 0; background: linear-gradient(to top, rgba(0,0,0,0.85) 0%, rgba(0,0,0,0) 60%); display: flex; flex-direction: column; justify-content: flex-end; padding: 12px; text-align: left;">
+<h3 style="margin: 0; font-size: 1.1em; text-shadow: 1px 1px 3px rgba(0,0,0,0.8);">Retro 90's Anime / Golden Boy Style Lora Wan 2.2 14B</h3>
+<p style="margin: 4px 0 0 0; font-size: 0.9em; text-shadow: 1px 1px 3px rgba(0,0,0,0.8);">tazmannner379</p>
+</div>
+</a><details style="width: 200px; margin-top: 8px;">
+<summary style="cursor: pointer; font-size: 0.9em; text-align: center; padding: 4px; border: 1px solid #d1d5db; border-radius: 6px;">View 19 More Previews</summary>
+<div style="padding-top: 8px;"><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/6FA68A68216AD07095ED6917D5404EF197DA14293988C2EA767BD70DB25FE2EF_fde764d0.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/6FA68A68216AD07095ED6917D5404EF197DA14293988C2EA767BD70DB25FE2EF_bdb238be.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/6FA68A68216AD07095ED6917D5404EF197DA14293988C2EA767BD70DB25FE2EF_dc9e510c.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/6FA68A68216AD07095ED6917D5404EF197DA14293988C2EA767BD70DB25FE2EF_98d4413e.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/6FA68A68216AD07095ED6917D5404EF197DA14293988C2EA767BD70DB25FE2EF_4ad9f121.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/6FA68A68216AD07095ED6917D5404EF197DA14293988C2EA767BD70DB25FE2EF_effb2e90.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/6FA68A68216AD07095ED6917D5404EF197DA14293988C2EA767BD70DB25FE2EF_b2bc6212.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/6FA68A68216AD07095ED6917D5404EF197DA14293988C2EA767BD70DB25FE2EF_ce315d6c.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/6FA68A68216AD07095ED6917D5404EF197DA14293988C2EA767BD70DB25FE2EF_d83fd700.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/6FA68A68216AD07095ED6917D5404EF197DA14293988C2EA767BD70DB25FE2EF_5ebc787d.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/6FA68A68216AD07095ED6917D5404EF197DA14293988C2EA767BD70DB25FE2EF_0fcec5f6.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/6FA68A68216AD07095ED6917D5404EF197DA14293988C2EA767BD70DB25FE2EF_64a2731b.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/6FA68A68216AD07095ED6917D5404EF197DA14293988C2EA767BD70DB25FE2EF_52853746.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/6FA68A68216AD07095ED6917D5404EF197DA14293988C2EA767BD70DB25FE2EF_81e69be1.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/6FA68A68216AD07095ED6917D5404EF197DA14293988C2EA767BD70DB25FE2EF_0a2b3caf.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/6FA68A68216AD07095ED6917D5404EF197DA14293988C2EA767BD70DB25FE2EF_7cc87da8.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/6FA68A68216AD07095ED6917D5404EF197DA14293988C2EA767BD70DB25FE2EF_04359352.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/6FA68A68216AD07095ED6917D5404EF197DA14293988C2EA767BD70DB25FE2EF_56014b05.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/6FA68A68216AD07095ED6917D5404EF197DA14293988C2EA767BD70DB25FE2EF_5d71fc98.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /></div>
+</details></div>
+<div style="display: flex; flex-direction: column;"><a href="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2V/tree/main/Ruby_Rose_RWBY" style="display: block; position: relative; width: 200px; height: 250px; border-radius: 8px; overflow: hidden; text-decoration: none; color: white; background-image: url('https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/259F516E9C2B67409A79E832F2ACCD4CFEFCAE0EEA85BE7CF9798BABBAD1E325_ef0e3782.gif'); background-size: cover; background-position: center; box-shadow: 0 4px 6px -1px rgba(0,0,0,0.1);">
+<div style="position: absolute; top: 0; left: 0; right: 0; bottom: 0; background: linear-gradient(to top, rgba(0,0,0,0.85) 0%, rgba(0,0,0,0) 60%); display: flex; flex-direction: column; justify-content: flex-end; padding: 12px; text-align: left;">
+<h3 style="margin: 0; font-size: 1.1em; text-shadow: 1px 1px 3px rgba(0,0,0,0.8);">Ruby Rose (RWBY)</h3>
+<p style="margin: 4px 0 0 0; font-size: 0.9em; text-shadow: 1px 1px 3px rgba(0,0,0,0.8);">keirproductions173</p>
+</div>
+</a><details style="width: 200px; margin-top: 8px;">
+<summary style="cursor: pointer; font-size: 0.9em; text-align: center; padding: 4px; border: 1px solid #d1d5db; border-radius: 6px;">View 7 More Previews</summary>
+<div style="padding-top: 8px;"><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/259F516E9C2B67409A79E832F2ACCD4CFEFCAE0EEA85BE7CF9798BABBAD1E325_aea09a0b.jpg" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/259F516E9C2B67409A79E832F2ACCD4CFEFCAE0EEA85BE7CF9798BABBAD1E325_36e1267a.jpg" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/259F516E9C2B67409A79E832F2ACCD4CFEFCAE0EEA85BE7CF9798BABBAD1E325_b75e2d97.jpg" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/259F516E9C2B67409A79E832F2ACCD4CFEFCAE0EEA85BE7CF9798BABBAD1E325_f5964e5d.jpg" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/259F516E9C2B67409A79E832F2ACCD4CFEFCAE0EEA85BE7CF9798BABBAD1E325_5d67d8fb.jpg" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/259F516E9C2B67409A79E832F2ACCD4CFEFCAE0EEA85BE7CF9798BABBAD1E325_f6c9acb1.jpg" style="width: 100%; margin-top: 8px; border-radius: 4px;" /><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/259F516E9C2B67409A79E832F2ACCD4CFEFCAE0EEA85BE7CF9798BABBAD1E325_f3b16c55.jpg" style="width: 100%; margin-top: 8px; border-radius: 4px;" /></div>
+</details></div>
+<div style="display: flex; flex-direction: column;"><a href="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2V/tree/main/Suspended_congress_Wan2_1_t2v" style="display: block; position: relative; width: 200px; height: 250px; border-radius: 8px; overflow: hidden; text-decoration: none; color: white; background-image: url('https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/A2DB4C2E3EB5F97FCCD623A396BCD10525F23E1A6593C7CDF1F390421CC361EF_9dc39918.gif'); background-size: cover; background-position: center; box-shadow: 0 4px 6px -1px rgba(0,0,0,0.1);">
+<div style="position: absolute; top: 0; left: 0; right: 0; bottom: 0; background: linear-gradient(to top, rgba(0,0,0,0.85) 0%, rgba(0,0,0,0) 60%); display: flex; flex-direction: column; justify-content: flex-end; padding: 12px; text-align: left;">
+<h3 style="margin: 0; font-size: 1.1em; text-shadow: 1px 1px 3px rgba(0,0,0,0.8);">Suspended congress Wan2.1 t2v</h3>
+<p style="margin: 4px 0 0 0; font-size: 0.9em; text-shadow: 1px 1px 3px rgba(0,0,0,0.8);">CaptainWebSpinner</p>
+</div>
+</a><details style="width: 200px; margin-top: 8px;">
+<summary style="cursor: pointer; font-size: 0.9em; text-align: center; padding: 4px; border: 1px solid #d1d5db; border-radius: 6px;">View 1 More Previews</summary>
+<div style="padding-top: 8px;"><img src="https://huggingface.co/UnifiedHorusRA/TheWan2.1T2Vclass/resolve/main/A2DB4C2E3EB5F97FCCD623A396BCD10525F23E1A6593C7CDF1F390421CC361EF_79e4bcad.gif" style="width: 100%; margin-top: 8px; border-radius: 4px;" /></div>
+</details></div>
 <!--CIVITAI_MODEL_GALLERY_END-->
 </div>

Retro_90s_Anime_Golden_Boy_Style_Lora_Wan_2_2_14B/Wan_Video_14B_t2v/GoldenBoyLoraExampleWF.zip

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Wan_Video_14B_t2v_info.md

@@ -3013,4 +3013,363 @@ This lora for Wan applies the visual of a boyish person morphing and transformin
 *   **Size**: 292.63 MB
 *   **Hash (AutoV2)**: `0DB99EE0DF`
 *   **Hash (SHA256)**: `0DB99EE0DFD09D2E1620B60897891F7651BDF822AED883552A95A886901C8669`
+---
+
+---
+# Penis Lora (+Blowjob, +Cumshot) [Taz]  - WAN 2.2 14b / 5B / 1.3b T2V & I2V (Wan 2.1 & 2.2) + Qwen (Version: v0.8 Wan 2.1 14B T2V)
+**Creator**: [tazmannner379](https://civitai.com/user/tazmannner379)
+**Type**: LORA
+**Base Model**: Wan Video 14B t2v
+**Version Uploaded**: 2025-05-14
+**Trigger Words**: `PENISLORA`
+**Civitai Model ID**: 1476909
+**Civitai Version ID**: 1787754
+**Stats (at time of fetch for this version)**:
+*   Downloads: 3905
+*   Rating: 0.0 (0 ratings)
+*   Favorites: N/A
+---
+## 📄 Description (Parent Model)
+About this version
+I trained using the newly re-captioned dataset from the 5B model. The result is incredibly good. For the first time I'm pretty happy with the result. Give it a try.  Most examples are with lightning speed lora and low resolution (480x832). I also released an I2V version. Try using the t2v at 0.5 str + the i2v lora at 1 str for i2v.
+Trigger word:
+PENISLORA
+What can this lora do?
+This lora can add erect penises to both men or women viewed from the front/side. Other angles such as POV may have a backwards penis head.
+Other things it can now do:
+Side view of the penis
+Cumming / Cumshots
+Blowjobs (its captioned for the words "blowjob" and "deepthroat" )
+What can't it do?
+No penetration in the training data. Also nothing from POV angle, though there is a few images from above and 1 POV video in the training data.
+Sometimes blowjobs with cumming have the penis slip out the closed mouth.
+Recommended Settings
+It works pretty good with the new lightning dyno high model. I'll link to it in my example workflow. I like to use dyno high model (no lightning lora), then for low I use the lightning v2 lora on the regular 2.2 low base model.
+Dataset
+84 images at 512x resolution
+43 videos at 256x resolution
+(I let DP pick the aspect ratio automatically)
+This is the same exact dataset as the 2.2 5B model. I made no changes.
+Training
+I used the default diffusion pipe settings.
+[optimizer]
+type = 'adamw_optimi'
+lr = 2e-5
+betas = [0.9, 0.99]
+weight_decay = 0.01
+eps = 1e-8
+I was baffled why it was taking so long to train the high until I realized after over 60 hours of training that I had put my videos in the images directory which resulted in the high being trained ONLY only on videos and twice (once with a very high resolution). Once I fixed this, I went back and trained from 11K steps up to around 13K with the images in the training data. The high model was fine without to be honest.
+For the low, I trained it properly with videos and images the whole way, around 6K steps in I upped the image resolution from 512 to 1024 actually and didn't get an OOM (it fit around 24GB exactly). I trained it to around 10.5K steps. Also I trained the low on the full timestep range (0 to 1 instead of 0 to 0.85) from some advice, it may switch better over from high to low on the speed up lora with low steps.
+I think I might do another version with more angles such as POV and from the behind to make this work for any situation. In that case I don't think it needs 10K steps per training session, epochs around 5K steps looked fine.
+The results
+I think it was a combination of improved captioning and 2.2 base model being better. But this lora turned out really well.
+## Civitai Links
+*   **[🔗 View This Version on Civitai →](https://civitai.com/models/1476909?modelVersionId=1787754)**
+*   [View Full Model Page →](https://civitai.com/models/1476909)
+*   [View Creator Profile →](https://civitai.com/user/tazmannner379)
+---
+## File Information
+
+*   **Primary Filename (Civitai)**: `PENISLORA_epoch42e62e30e16.safetensors`
+*   **Size**: 292.59 MB
+*   **Hash (AutoV2)**: `57ED18CF4E`
+*   **Hash (SHA256)**: `57ED18CF4E82C1BC83D5E536BE44A0BC137EB88D13D5258155C30B1B81DDD3E2`
+---
+
+---
+# Retro 90's Anime / Golden Boy Style Lora Wan 2.2 14B (Version: Wan 2.1 14B v1.0 (old))
+**Creator**: [tazmannner379](https://civitai.com/user/tazmannner379)
+**Type**: LORA
+**Base Model**: Wan Video 14B t2v
+**Version Uploaded**: 2025-06-11
+**Trigger Words**: `GoldenBoyStyle`
+**Civitai Model ID**: 1671285
+**Civitai Version ID**: 1891658
+**Stats (at time of fetch for this version)**:
+*   Downloads: 614
+*   Rating: 0.0 (0 ratings)
+*   Favorites: N/A
+---
+## 📄 Description (Parent Model)
+Wan 2.2 14B V1 whats new:
+-This is the same dataset + captions from the 2.1 lora, except trained on both the high and low WAN 2.2 14B models.
+-You will get all the benefits of the upgrade from 2.1 to 2.2. Especially movement and camera control is quite nice.
+-Warning: I feel its gotten further away from the dataset in terms of style, I will try doing more training later, I think its in good enough state now to release. I wanna move onto something new next, this update was more about learning how to train 2.2. Read below about the training for my process which is new.
+What is this lora?
+This is a style lora used to recreate the style of the 1995 anime series "
+Golden Boy
+". The series has beautiful mid-90s matte painting style backgrounds which came out great in the lora. And the way they draw the girls is awesome and really represents the art style of the period for raunchy comedies. But if you just want a mid-90's retro style anime look in wan then use this lora too, its really great at just doing older style anime in general. And it is
+perfect
+at doing
+detailed environmental shots.
+Its captioned on bikes, cars, delicious looking food, garbage etc, not just people. Its trained on the T2V model and therefore should also work for I2V.
+Trigger word: Goldenboystyle
+(You do not need to add any other descriptions for anime or animation style in the prompt, it should make it the style without any other prompting). In fact I would recommend against adding anime keywords to the prompt as it will create more of a bias from the base model which is now trained on anime much better than before. The trigger word may not even be needed but I put it in anyway.
+All the characters from the show is in the training data. The blonde woman (Madame President) comes out pretty much if you mention blonde women. If you describe any character from the show it will probably generate them accurately. The main character Kentaro Oe will also come out if prompted but only by description and not by name. The silly faces the characters make are also in the training data. There is naked breasts in the training data but no lower genitals.
+Recommended Settings
+It can run on default wan workflow just fine, and retains that real nostalgic retro animation style, but I recommend to mix this lora with the following optimization loras. There is 3 settings I recommend and each has their own positives and negative effects.
+It's too early to tell whats best aside from default. I am leaning on the 2.1 light lora because 2.2 kills the motion so hard and also changes the style to be less like the show, but still a nice retro feeling.
+I think I will make a workflow for my loras and link that from now on. So just download my example workflow for this lora and try it yourself.
+See below image to see how it effects the look. For motion check the example generations I provided for these, it has in the comments the settings I used for reference.
+LINK TO EXAMPLE WORKFLOWS
+https://civitai.com/models/1868641
+1.) Default Setting
+Just run the lora with no other loras and it will work fine. And it will retain the closest look and feel to the original source material. On a 3090 it takes over 20 mins for a 720p video to generate.
+20 steps (10/10), 3.5 CFG, NO NAG
+Benefits: Closer to trained data. You get all the 2.2 benefits like motion, quality, camera control etc.
+Negatives: Slower, more resource intense
+2.) Lightx2V Wan 2.1 Lora Optimization
+1.) This lora (golden boy style) (strength 1.0 on both high and low)
+2.)
+Wan21_T2V_14B_lightx2V_cfg_step_destill_lora_rank32 (strength 1.0 on both, use the same lora file on both high/low)
+7 Steps ( 3 / 4), though you can try 4/4 or 2/2. CFG 1 with NAG
+Benefits: Can complete higher resolution with fewer steps. The motion is retained and style closer default than lightning lora.
+Negatives: Lightx2V is a Wan 2.1 lora so I think you downgrade the output to look more like 2.1 than 2.2. I feel also that the colors are a bit dark. It adds some weird snow effect sometimes which can be mitigated by increasing strength on the lightx2v loras.
+3.) Lightning 1.1 Wan 2.2 Lora Optimization
+7 Steps ( 3 / 4), though you can try 4/4 or 2/2.CFG 1 with NAG
+1.) This lora (golden boy style) (strength 1.0 on both high and low)
+2.)
+Wan 2.2 Lighting v1.1 loras (strength 1.0 on both high and low)
+Benefits: Can complete higher resolution with fewer steps. It kinda makes colors brighter and less saturated if you like that aesthetic. Its a 2.2 lora so you technically get benefits from 2.2 wan
+but its kind of not working properly.
+Negatives: It effects the style heavily, it still looks anime retro but the colors are brighter than the source material. The motion is HEAVILY reduced.
+4.) Other 2.1 loras
+Wan2.1-Fun-14B-InP-MPS (strength 1.0)
+Wan21_T2V_14B_MoviiGen_lora_rank32_fp16 (strength 0.5)
+2.1 Goldenboystyle lora. You can mix this on high or low, maybe low is better.
+These above two loras were great for 2.1 version of this. I don't use them because I feel the more 2.1 lora you use the less the output looks like 2.2 and just becomes wan 2.1 again... If they release 2.2 versions of these loras I will edit here.
+See the below example to see how each setting effects the output compared to the source.
+In the end, I don't think there is a right choice as they all have negatives in some way, its too early to tell the best way to set things. So I'll update this bit in the future if I figure anything out. The motion killed in #3 makes me use #2 most often. And I don't have much patience for option #1. Please tell me if you have a good setting suggestion.
+Training Info
+Low Lora Model:
+[model]
+type = 'wan'
+ckpt_path = '/data/trainingstuff/wan2.2_base_checkpoint/low_noise_model'
+transformer_path = '/data/trainingstuff/wan2.2_base_checkpoint/low_noise_model'
+dtype = 'bfloat16'
+transformer_dtype = 'float8'
+timestep_sample_method = 'logit_normal'
+blocks_to_swap = 8
+min_t = 0
+max_t = 0.875
+[adapter]
+type = 'lora'
+rank = 32
+dtype = 'bfloat16'
+[optimizer]
+type = 'adamw_optimi'
+lr = 2e-5
+betas = [0.9, 0.99]
+weight_decay = 0.01
+eps = 1e-8
+High Lora Model:
+Basically same settings as lora except max/min_t changes 0.875 to 1 range.
+type = 'automagic'
+lr = 2e-5
+weight_decay = 0.00195
+lr_bump = 5e-6
+eps = 1e-8
+Lets talk graphs:
+Here is the low lora graph:
+You can see it jumps up and down. It tends downward over time. And epoch 65 it was fine, but I trained more. I honestly didnt see much difference between 65 and 106. I couldnt get it lower than 0.8, maybe I can if I try again with proper settings on the training.
+Here is the high lora graph
+(I cant seem to find my training data, but you get the gist from this earlier screen shot. It trends like this then sort of flat lines. We get much better loss trend on high. # of steps is much lower too.
+Sorry I cannot find my training data for this, maybe its deleted (I still have the epochs). Not a big deal since this thing reaches a good state FAST unlike the low lora. I am of the opinion you want high to get a general shape when watching it the preview since its made for motion. Let the low lora get the details in, if its not close enough in shape then the details will look off in the low model.
+Note:
+I ran an initial run on automagic for the low model and it came out garbage. It wouldn't work without lightx loras and it had ghosting and motion blur. So I did a second run with the settings above with adamw_optimi on the low and it completely fixed all the problems. I can't say for certain but I have theory the low model will train better on default settings with adamw_optimi. High model can do either. The high model trains super fast and doesnt need a lot of steps compared to the low model which drags on and is super erratic in terms of the trend of the loss.
+Also, I screwed up the training on the low lora when I resumed on checkpoint after epoch65, I think for some reason it was training only on images for 30 more epochs at our final one. I didnt notice any negative effects, so I will just give the latest epoch. Try the other LOW epoch in the training data which I will include with the captions.
+Its hard to test wan 2.2 loras. You basically have to train both and then do the fine-tunning. If you have a 2.1 lora already you can use it for the high model and train the low first but you're mixing 2.1 with 2.2 and I think better to just train the high model before testing heavily. Overall I think this two lora system is not good, there is too many variables to test if something is going wrong. This took a long time to trouble shoot and I had to abandon 10K+ steps worth of trained data.
+Big Thanks
+There is too many people to thank, I bother so many people with dumb questions in the Banodoco Discord, but they are always kind and put up with me and help me along the way. As always I want to shout out Kijai for his great help, lightx team for their loras, and Seruva19 as his loras and detail into documentation into the process are really what this scene needs. I am kind of just figuring things out along the way and taking bits and pieces of existing info and brute-forcing them together to an output I hope everyone can enjoy.
+## Civitai Links
+*   **[🔗 View This Version on Civitai →](https://civitai.com/models/1671285?modelVersionId=1891658)**
+*   [View Full Model Page →](https://civitai.com/models/1671285)
+*   [View Creator Profile →](https://civitai.com/user/tazmannner379)
+---
+## File Information
+
+*   **Primary Filename (Civitai)**: `goldenboylora-e231.safetensors`
+*   **Size**: 292.59 MB
+*   **Hash (AutoV2)**: `6FA68A6821`
+*   **Hash (SHA256)**: `6FA68A68216AD07095ED6917D5404EF197DA14293988C2EA767BD70DB25FE2EF`
+---
+
+---
+# Retro 90's Anime / Golden Boy Style Lora Wan 2.2 14B (Version: Wan 2.1 14B v2.0)
+**Creator**: [tazmannner379](https://civitai.com/user/tazmannner379)
+**Type**: LORA
+**Base Model**: Wan Video 14B t2v
+**Version Uploaded**: 2025-07-01
+**Trigger Words**: `GoldenBoyStyle`
+**Civitai Model ID**: 1671285
+**Civitai Version ID**: 1963359
+**Stats (at time of fetch for this version)**:
+*   Downloads: 777
+*   Rating: 0.0 (0 ratings)
+*   Favorites: N/A
+---
+## 📄 Description (Parent Model)
+Wan 2.2 14B V1 whats new:
+-This is the same dataset + captions from the 2.1 lora, except trained on both the high and low WAN 2.2 14B models.
+-You will get all the benefits of the upgrade from 2.1 to 2.2. Especially movement and camera control is quite nice.
+-Warning: I feel its gotten further away from the dataset in terms of style, I will try doing more training later, I think its in good enough state now to release. I wanna move onto something new next, this update was more about learning how to train 2.2. Read below about the training for my process which is new.
+What is this lora?
+This is a style lora used to recreate the style of the 1995 anime series "
+Golden Boy
+". The series has beautiful mid-90s matte painting style backgrounds which came out great in the lora. And the way they draw the girls is awesome and really represents the art style of the period for raunchy comedies. But if you just want a mid-90's retro style anime look in wan then use this lora too, its really great at just doing older style anime in general. And it is
+perfect
+at doing
+detailed environmental shots.
+Its captioned on bikes, cars, delicious looking food, garbage etc, not just people. Its trained on the T2V model and therefore should also work for I2V.
+Trigger word: Goldenboystyle
+(You do not need to add any other descriptions for anime or animation style in the prompt, it should make it the style without any other prompting). In fact I would recommend against adding anime keywords to the prompt as it will create more of a bias from the base model which is now trained on anime much better than before. The trigger word may not even be needed but I put it in anyway.
+All the characters from the show is in the training data. The blonde woman (Madame President) comes out pretty much if you mention blonde women. If you describe any character from the show it will probably generate them accurately. The main character Kentaro Oe will also come out if prompted but only by description and not by name. The silly faces the characters make are also in the training data. There is naked breasts in the training data but no lower genitals.
+Recommended Settings
+It can run on default wan workflow just fine, and retains that real nostalgic retro animation style, but I recommend to mix this lora with the following optimization loras. There is 3 settings I recommend and each has their own positives and negative effects.
+It's too early to tell whats best aside from default. I am leaning on the 2.1 light lora because 2.2 kills the motion so hard and also changes the style to be less like the show, but still a nice retro feeling.
+I think I will make a workflow for my loras and link that from now on. So just download my example workflow for this lora and try it yourself.
+See below image to see how it effects the look. For motion check the example generations I provided for these, it has in the comments the settings I used for reference.
+LINK TO EXAMPLE WORKFLOWS
+https://civitai.com/models/1868641
+1.) Default Setting
+Just run the lora with no other loras and it will work fine. And it will retain the closest look and feel to the original source material. On a 3090 it takes over 20 mins for a 720p video to generate.
+20 steps (10/10), 3.5 CFG, NO NAG
+Benefits: Closer to trained data. You get all the 2.2 benefits like motion, quality, camera control etc.
+Negatives: Slower, more resource intense
+2.) Lightx2V Wan 2.1 Lora Optimization
+1.) This lora (golden boy style) (strength 1.0 on both high and low)
+2.)
+Wan21_T2V_14B_lightx2V_cfg_step_destill_lora_rank32 (strength 1.0 on both, use the same lora file on both high/low)
+7 Steps ( 3 / 4), though you can try 4/4 or 2/2. CFG 1 with NAG
+Benefits: Can complete higher resolution with fewer steps. The motion is retained and style closer default than lightning lora.
+Negatives: Lightx2V is a Wan 2.1 lora so I think you downgrade the output to look more like 2.1 than 2.2. I feel also that the colors are a bit dark. It adds some weird snow effect sometimes which can be mitigated by increasing strength on the lightx2v loras.
+3.) Lightning 1.1 Wan 2.2 Lora Optimization
+7 Steps ( 3 / 4), though you can try 4/4 or 2/2.CFG 1 with NAG
+1.) This lora (golden boy style) (strength 1.0 on both high and low)
+2.)
+Wan 2.2 Lighting v1.1 loras (strength 1.0 on both high and low)
+Benefits: Can complete higher resolution with fewer steps. It kinda makes colors brighter and less saturated if you like that aesthetic. Its a 2.2 lora so you technically get benefits from 2.2 wan
+but its kind of not working properly.
+Negatives: It effects the style heavily, it still looks anime retro but the colors are brighter than the source material. The motion is HEAVILY reduced.
+4.) Other 2.1 loras
+Wan2.1-Fun-14B-InP-MPS (strength 1.0)
+Wan21_T2V_14B_MoviiGen_lora_rank32_fp16 (strength 0.5)
+2.1 Goldenboystyle lora. You can mix this on high or low, maybe low is better.
+These above two loras were great for 2.1 version of this. I don't use them because I feel the more 2.1 lora you use the less the output looks like 2.2 and just becomes wan 2.1 again... If they release 2.2 versions of these loras I will edit here.
+See the below example to see how each setting effects the output compared to the source.
+In the end, I don't think there is a right choice as they all have negatives in some way, its too early to tell the best way to set things. So I'll update this bit in the future if I figure anything out. The motion killed in #3 makes me use #2 most often. And I don't have much patience for option #1. Please tell me if you have a good setting suggestion.
+Training Info
+Low Lora Model:
+[model]
+type = 'wan'
+ckpt_path = '/data/trainingstuff/wan2.2_base_checkpoint/low_noise_model'
+transformer_path = '/data/trainingstuff/wan2.2_base_checkpoint/low_noise_model'
+dtype = 'bfloat16'
+transformer_dtype = 'float8'
+timestep_sample_method = 'logit_normal'
+blocks_to_swap = 8
+min_t = 0
+max_t = 0.875
+[adapter]
+type = 'lora'
+rank = 32
+dtype = 'bfloat16'
+[optimizer]
+type = 'adamw_optimi'
+lr = 2e-5
+betas = [0.9, 0.99]
+weight_decay = 0.01
+eps = 1e-8
+High Lora Model:
+Basically same settings as lora except max/min_t changes 0.875 to 1 range.
+type = 'automagic'
+lr = 2e-5
+weight_decay = 0.00195
+lr_bump = 5e-6
+eps = 1e-8
+Lets talk graphs:
+Here is the low lora graph:
+You can see it jumps up and down. It tends downward over time. And epoch 65 it was fine, but I trained more. I honestly didnt see much difference between 65 and 106. I couldnt get it lower than 0.8, maybe I can if I try again with proper settings on the training.
+Here is the high lora graph
+(I cant seem to find my training data, but you get the gist from this earlier screen shot. It trends like this then sort of flat lines. We get much better loss trend on high. # of steps is much lower too.
+Sorry I cannot find my training data for this, maybe its deleted (I still have the epochs). Not a big deal since this thing reaches a good state FAST unlike the low lora. I am of the opinion you want high to get a general shape when watching it the preview since its made for motion. Let the low lora get the details in, if its not close enough in shape then the details will look off in the low model.
+Note:
+I ran an initial run on automagic for the low model and it came out garbage. It wouldn't work without lightx loras and it had ghosting and motion blur. So I did a second run with the settings above with adamw_optimi on the low and it completely fixed all the problems. I can't say for certain but I have theory the low model will train better on default settings with adamw_optimi. High model can do either. The high model trains super fast and doesnt need a lot of steps compared to the low model which drags on and is super erratic in terms of the trend of the loss.
+Also, I screwed up the training on the low lora when I resumed on checkpoint after epoch65, I think for some reason it was training only on images for 30 more epochs at our final one. I didnt notice any negative effects, so I will just give the latest epoch. Try the other LOW epoch in the training data which I will include with the captions.
+Its hard to test wan 2.2 loras. You basically have to train both and then do the fine-tunning. If you have a 2.1 lora already you can use it for the high model and train the low first but you're mixing 2.1 with 2.2 and I think better to just train the high model before testing heavily. Overall I think this two lora system is not good, there is too many variables to test if something is going wrong. This took a long time to trouble shoot and I had to abandon 10K+ steps worth of trained data.
+Big Thanks
+There is too many people to thank, I bother so many people with dumb questions in the Banodoco Discord, but they are always kind and put up with me and help me along the way. As always I want to shout out Kijai for his great help, lightx team for their loras, and Seruva19 as his loras and detail into documentation into the process are really what this scene needs. I am kind of just figuring things out along the way and taking bits and pieces of existing info and brute-forcing them together to an output I hope everyone can enjoy.
+## Civitai Links
+*   **[🔗 View This Version on Civitai →](https://civitai.com/models/1671285?modelVersionId=1963359)**
+*   [View Full Model Page →](https://civitai.com/models/1671285)
+*   [View Creator Profile →](https://civitai.com/user/tazmannner379)
+---
+## File Information
+
+*   **Primary Filename (Civitai)**: `goldenboylora-e504.safetensors`
+*   **Size**: 292.59 MB
+*   **Hash (AutoV2)**: `43F8348A30`
+*   **Hash (SHA256)**: `43F8348A30ECD250656A8FDDD619841C7D8817EA5A649332372CFB7842D22C65`
+---
+
+---
+# Ruby Rose (RWBY) (Version: Wan 2.1)
+**Creator**: [keirproductions173](https://civitai.com/user/keirproductions173)
+**Type**: LORA
+**Base Model**: Wan Video 14B t2v
+**Version Uploaded**: 2025-10-07
+**Trigger Words**: `Ruby Rose (RWBY)`
+**Civitai Model ID**: 2023580
+**Civitai Version ID**: 2290228
+**Stats (at time of fetch for this version)**:
+*   Downloads: 75
+*   Rating: 0.0 (0 ratings)
+*   Favorites: N/A
+---
+## 📄 Description (Parent Model)
+Can generate SFW and NSFW pictures of Ruby Rose from the series RWBY. Previously, I did Yang and Blake separately, then a third lora of Yang and Blake together.
+The next step in this series is going to be creating a lora for Weiss Schnee, then a final lora for Ruby, Yang, Blake, and Weiss all together, capable of generating the characters both together and seperately.
+I also need to figure out whether I want to keep training on Wan 2.1 or move to Wan 2.2 (either the 14b or 5b variation) or OVI (assuming it becomes trainable).
+Let me know your thoughts!
+## Civitai Links
+*   **[🔗 View This Version on Civitai →](https://civitai.com/models/2023580?modelVersionId=2290228)**
+*   [View Full Model Page →](https://civitai.com/models/2023580)
+*   [View Creator Profile →](https://civitai.com/user/keirproductions173)
+---
+## File Information
+
+*   **Primary Filename (Civitai)**: `Ruby Rose Wan 2.1.safetensors`
+*   **Size**: 585.10 MB
+*   **Hash (AutoV2)**: `259F516E9C`
+*   **Hash (SHA256)**: `259F516E9C2B67409A79E832F2ACCD4CFEFCAE0EEA85BE7CF9798BABBAD1E325`
+---
+
+---
+# Suspended congress Wan2.1 t2v (Version: v1.0)
+**Creator**: [CaptainWebSpinner](https://civitai.com/user/CaptainWebSpinner)
+**Type**: LORA
+**Base Model**: Wan Video 14B t2v
+**Version Uploaded**: 2025-10-14
+**Trigger Words**: `5u5c0n, suspended congress sex, carry fuck,`
+**Civitai Model ID**: 2043064
+**Civitai Version ID**: 2312359
+**Stats (at time of fetch for this version)**:
+*   Downloads: 697
+*   Rating: 0.0 (0 ratings)
+*   Favorites: N/A
+---
+## 📄 Description (Parent Model)
+Trained in wan 2.1 t2v 14b
+Example prompt: 5u5c0n, suspended congress sex, carry fuck, Caucasian man corporate suit blazer naked lower body carrying a woman wearing white shirt and shirt pencil skirt, she has blonde hair tied behind as ponytail, they are having sex, man's penis thrusting woman's vagina, naked man with erect penis walks in and lift the woman is in suspended congress position, they have sex, man thrust his penis in and out of the woman's vagina, the woman's body bounces as man pounds her, the man is standing straight lifting the woman in his arms, they are facing eachother, they are standing in a office conference room the projector screen behind them showing graphs and statistics
+## Civitai Links
+*   **[🔗 View This Version on Civitai →](https://civitai.com/models/2043064?modelVersionId=2312359)**
+*   [View Full Model Page →](https://civitai.com/models/2043064)
+*   [View Creator Profile →](https://civitai.com/user/CaptainWebSpinner)
+---
+## File Information
+
+*   **Primary Filename (Civitai)**: `Suspended_congress_wan2.1_t2v_by_cws.safetensors`
+*   **Size**: 585.10 MB
+*   **Hash (AutoV2)**: `A2DB4C2E3E`
+*   **Hash (SHA256)**: `A2DB4C2E3EB5F97FCCD623A396BCD10525F23E1A6593C7CDF1F390421CC361EF`
 ---

civitai_tracker.json

@@ -318,6 +318,31 @@
       "versions": [
         "2303798"
       ]
+    },
+    "1476909": {
+      "name": "Penis Lora (+Blowjob, +Cumshot) [Taz]  - WAN 2.2 14b / 5B / 1.3b T2V & I2V (Wan 2.1 & 2.2) + Qwen",
+      "versions": [
+        "1787754"
+      ]
+    },
+    "1671285": {
+      "name": "Retro 90's Anime / Golden Boy Style Lora Wan 2.2 14B",
+      "versions": [
+        "1891658",
+        "1963359"
+      ]
+    },
+    "2023580": {
+      "name": "Ruby Rose (RWBY)",
+      "versions": [
+        "2290228"
+      ]
+    },
+    "2043064": {
+      "name": "Suspended congress Wan2.1 t2v",
+      "versions": [
+        "2312359"
+      ]
     }
   },
   "versions": [
@@ -384,6 +409,11 @@
     "1720941",
     "2303911",
     "2066914",
-    "2303798"
+    "2303798",
+    "1787754",
+    "1891658",
+    "1963359",
+    "2290228",
+    "2312359"
   ]
 }