Upload 2655839/2982189/README.md with huggingface_hub

2655839/2982189/README.md

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+---
+license: other
+tags:
+- blowjob
+- cock lick
+- cock worship
+- concept
+- handjob
+- oral
+---
+
+# Worship It - T2V - Low - 2982189
+
+**Model Type**: LORA
+
+**Base Model**: Wan Video 2.2 T2V-A14B
+
+**Trigger Words**: cock_worship, cock_lick, cock_slap, titfuck, handjob, blowjob, deepthroat
+
+**Tags**: blowjob, cock lick, cock worship, concept, handjob, oral
+
+## Gallery
+
+<table>
+  <tr>
+    <td><video src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/20416026-12b9-4133-ad1a-682b315c998b/original=true/132018779.mp4" width="200" controls muted autoplay loop></video></td>
+    <td><video src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/575e1433-3e16-48e6-a92b-2bff90a74010/original=true/132018780.mp4" width="200" controls muted autoplay loop></video></td>
+    <td><video src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/9767c463-bb36-496e-92bd-22f90ecb5f99/original=true/132018783.mp4" width="200" controls muted autoplay loop></video></td>
+  </tr>
+  <tr>
+    <td><video src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/00cd4a2b-246c-4cac-9ac8-301cbc972987/original=true/132018786.mp4" width="200" controls muted autoplay loop></video></td>
+    <td><video src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/389aaa51-4510-4455-a1a1-5adcb0965d0a/original=true/132018788.mp4" width="200" controls muted autoplay loop></video></td>
+    <td><video src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/1d7ab2f3-4ede-482e-8574-9c3ff74e05ff/original=true/132018793.mp4" width="200" controls muted autoplay loop></video></td>
+  </tr>
+  <tr>
+    <td><video src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/2aba7222-8332-4634-b5fd-14a4f2356238/original=true/132018794.mp4" width="200" controls muted autoplay loop></video></td>
+    <td><video src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/e905fecf-9bdd-4688-9b7f-9011d69403c8/original=true/132018801.mp4" width="200" controls muted autoplay loop></video></td>
+    <td><video src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/12b27cb9-37d2-4ea3-91dd-36630e9eeb47/original=true/132018797.mp4" width="200" controls muted autoplay loop></video></td>
+  </tr>
+  <tr>
+    <td><video src="https://image.civitai.com/xG1nkqKTMzGDvpLrqFT7WA/702b29ef-cb6e-401a-81d2-6438fda1542e/original=true/132018802.mp4" width="200" controls muted autoplay loop></video></td>
+  </tr>
+</table>
+
+## Description
+
+An attempt to make a lora focused on worshiping big cocks. It was trained on 69 clips (not on purpose, the 70th clip had a hard cut so it was cut from the dataset last minute). Never trained a motion Lora before.  
+  
+ **T2V is trained on Wan 2.2 T2V fp16 model  
+I2V is trained on Wan 2.2 I2V fp16model**
+
+I started training the model as an I2V because those lora's always gave me better results even with T2V. Due to difficulties renting a GPU, I decided to try a different service to compare speed and price so I opted to train the T2V on the second service. I figured it it worked well enough I'd throw them up on Civitai.
+
+I believe the workflow used to generate the samples was created by a former user - playtime\_ai  
+It utilizes the MoE ksampler.   
+I get best results using the following settings:
+
+Sampler - er\_sde  
+Scheduler - beta57  
+Shift - 8  
+Steps - 8  
+Lightning - [i2v\_lightx2v\_4step\_1022](https://huggingface.co/lightx2v/Wan2.2-Distill-Loras/tree/main)  
+Str - 1 on both high and low.  
+(Yes, I use the i2v lightning lora for T2V generations. I don't know why, but it always gives more more dynamic and realistic results).  
+  
+Trained with the following trigger words:  
+  
+cock\_worship  
+cock\_lick  
+cock\_slap  
+blowjob  
+deepthroat  
+titfuck  
+handjob  
+  
+Does somethings better than others. Slapping and titfuck it struggles with. Occasionally does some fun body horror.  
+  
+**Follow up edit**: I've added some clarity to the description and will attach a zip file to the T2V Low noise model for all the captions used for Lora training. They all follow the same structure - start with the trigger word(s) featured in the video trained followed by solely focusing on the movement during the video. All videos were 320x320, 81 frames, 16 FPS.  
+  
+Generate responsibly.
+
+---
+
+Author: [alternative_penguin](https://civitai.com/user/alternative_penguin)
+
+Model: [CivitAI Model Page](https://civitai.com/models/2655839?modelVersionId=2982189)
+
+Archive: [CivArchive Page](https://civarchive.com/models/2655839?modelVersionId=2982189)
+
+<!-- Version: 20260528_upload -->