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ltx23/lora/Bouncing Boobs - LTX & Wan/extra_data-vid_2864091/model_dict-mid_1343431-vid_2864091.json

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ltx23/lora/Furry Enhancer Video/extra_data-vid_2869488/model_dict-mid_1782485-vid_2869488.json

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-      "description": "<p>I have decided to retrain the dataset on a far advanced system now its trained on a server with an rtx6000 pro blackwell for more than a week 24/7 (and yes this was expensive)</p><p>so what has changed from V1 to V2.4?</p><ul><li><p>the trained video resolution is now at 720P constant</p></li><li><p>image training did improved from 1024p to 1536p</p></li><li><p>added 120 new sound videos for training especially for speech and jaw movements.</p></li><li><p>seperated videos with sound and not sound and trained in different databases</p></li><li><p>trained for T2V and I2V in stages so its nearly equally trained for both now</p></li><li><p>added new pictures to database too but more important overworked the captions fitting better for video training</p></li></ul><p>For settings and workflow i have added my example videos in the training folder the images and some videos has the metadata just put them into comfy</p><p>on my workflows was the loral at best between 0.8 and 1.0</p><p>the lora is trained on the dev model but also tested for the distilled version</p><p>for now still don't have my own workflow done yet so it depends on other workflow don by afroman4peace and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.red/models/2354193/ltx-23-all-in-one-workflow-for-rtx-3060-with-12-gb-vram-32-gb-ram\">akinson</a></p><p><strong>please support my work with an like and look on my other loras and models too</strong></p>",
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+      "description": "<p>I have decided to retrain the dataset on a far advanced system now its trained on a server with an rtx6000 pro blackwell for more than a week 24/7 (and yes this was expensive)</p><p>so what has changed from V1 to V2.4?</p><ul><li><p>the trained video resolution is now at 720P constant</p></li><li><p>image training did improved from 1024p to 1536p</p></li><li><p>added 120 new sound videos for training especially for speech and jaw movements.</p></li><li><p>seperated videos with sound and not sound and trained in different databases</p></li><li><p>trained for T2V and I2V in stages so its nearly equally trained for both now</p></li><li><p>added new pictures to database too but more important overworked the captions fitting better for video training</p></li><li><p>stable video output up to 25 seconds for i2v and t2v</p></li></ul><p>For settings and workflow i have added my example videos in the training folder the images and some videos has the metadata just put them into comfy</p><p>on my workflows was the loral at best between 0.8 and 1.0</p><p>the lora is trained on the dev model but also tested for the distilled version</p><p>for now still don't have my own workflow done yet so it depends on other workflow don by afroman4peace and <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.red/models/2354193/ltx-23-all-in-one-workflow-for-rtx-3060-with-12-gb-vram-32-gb-ram\">akinson</a></p><p><strong>please support my work with an like and look on my other loras and models too</strong></p>",
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       "description": "<p><strong>High Noise Lora V3</strong></p><p>This enhancer version is for Wan 2.2</p><p>its trained my own dataset</p><p>it's completely synthetic so no real persons or art is used for the dataset.</p><p>the biggest change in this dataset is its now completely trained on videos</p><p>Changes compared to V2</p><ul><li><p>trained now on over 650 Videos</p></li><li><p>better overall movements</p></li><li><p>more emotions</p></li><li><p>way better with comic and anime than V1 and V2</p></li></ul><p>better in sfw and nsfw</p><p><strong>for this Version there is also an newtrained Low Noise Model</strong></p><p>Note: I used for example the old workflow for this model to compare V3 with V2 if you like the newest workflow download the training folder.</p><p>in all videos the metadata  is also included just download the video and put it into Comfy</p><p>Important for this workflow is to keep the resolution between 0.4 and 0.92 (480p - 720p)</p><p><strong>if you like to support me please give a like and Check out my other models.</strong></p>",
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       "description": "<p><strong>Low Noise Lora V3</strong></p><p>This enhancer version is for Wan 2.2</p><p>its trained my own dataset</p><p>it's completely synthetic so no real persons or art is used for the dataset.</p><p>the biggest change in this dataset is its now completely trained on videos</p><p>Changes compared to V2</p><ul><li><p>trained now on over 650 Videos</p></li><li><p>better overall movements</p></li><li><p>more emotions</p></li><li><p>way better with comic and anime than V1 and V2</p></li></ul><p>better in sfw and nsfw</p><p><strong>Use this together  with V2 or V3 High Noise Model</strong></p><p>Note: I used for example the old workflow for this model to compare V3 with V2 if you like the newest workflow download the training folder.</p><p>in all videos the metadata is also included just download the video and put it into Comfy</p><p>Important for this workflow is to keep the resolution between 0.4 and 0.92 (480p - 720p)</p><p><strong>if you like to support me please give a like and Check out my other models.</strong></p>",
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       "description": "<p><strong>High Noise Lora:</strong></p><p>This enhancer version is for Wan 2.2 its splitted in basically 2 Loras: low and high noise</p><p>both loras for I2V are trained on the same dataset. I its my own dataset before i trained with the wan 2.1 Lora but add more pictures and videos</p><p>it's completely synthetic so no real persons or art is used for the dataset.</p><p>whats the pros of this lora compared to the wan 2.1?</p><ul><li><p>more consistent</p></li><li><p>more specimen</p></li></ul><p>better in sfw and nsfw</p><p>i recommend using both loras in the video metadata there is a comfy workflow for using it.</p><p><strong>if you like to support me please give a like and Check out my other models.</strong></p>",
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+  "description": "<hr /><p>Please read the relevant version info on the right side. </p><p>I think some experimentation is still needed with the generation workflow especially on version 2.0</p><p>If you get good results  please share your settings. </p><hr /><p>This model was trained 4000 steps with the provided musubi training files running for about 5 hours on a 5090 and consuming around 25GB vram. I used 56x145 frame clips at 24 seconds.</p><p>These I got by running a script to splice longer videos (attached to the files if you want to use it, just put it in the folder with the long form videos and run it with the path to the output dir and you get the cuts).</p><p></p><p>I've included the training files in the training data, I used this to train: <a target=\"_blank\" rel=\"ugc\" href=\"https://github.com/AkaneTendo25/musubi-tuner/tree/ltx-2\">https://github.com/AkaneTendo25/musubi-tuner/tree/ltx-2</a></p><p>(some comments have stated that branch ltx-2-dev has more bug fixes so going to try that next).</p><p>I definitely feel it's undercooked but the loss hasn't gone down too much last 1500 steps so I won't push this run any further. Specifically I think training at rank 8 seems to be a bit too little for it to learn the motion and also 1e-4 might be a bit small. Going to try with Prodigy rank 16 for the next iteration but regardless, I absolutely love the quality of the generated image as well as the sound seems to have trained remarkably well.</p><p>The workflows for both the starting image and the i2v are my own concoction and are attached to the image / video.</p><p>If you have any suggestions on the training / workflows feel free to share.</p><p>Hope I didn't miss anything.</p><p>Peace!</p><p></p>",
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+    },
+    {
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+      "index": 1,
+      "name": "v2",
+      "baseModel": "LTXV2",
+      "baseModelType": "Standard",
+      "createdAt": "2026-02-28T20:20:49.002Z",
+      "publishedAt": "2026-02-28T20:35:45.094Z",
+      "status": "Published",
+      "availability": "Public",
+      "nsfwLevel": 60,
+      "description": "<p>Changes in training methodology compared to v1:</p><ul><li><p>5000 steps</p></li><li><p>rank 16</p></li><li><p>512x768 res instead of 512x512</p></li><li><p>a little bit extended dataset but dont think that's very relevant</p></li></ul><p>Honestly I think the lora might be actually fine, but the video gen settings might not be the best. I've noticed that disabling the 50% scale node and generating everything directly in full res definitely works a lot better at drawing the pussy correctly.</p><p>Also did a test using the phr00t finetune of ltx and that seems to work well in i2v as long as you apply a -0.2-0.4 to the distill lora (otherwise it butchers the starting image).</p><p>You can download the phr00t version here: <a target=\"_blank\" rel=\"ugc\" href=\"https://huggingface.co/Phr00t/LTX2-Rapid-Merges/resolve/main/nsfw/ltx2-phr00tmerge-nsfw-v62.safetensors?download=true\">https://huggingface.co/Phr00t/LTX2-Rapid-Merges/resolve/main/nsfw/ltx2-phr00tmerge-nsfw-v62.safetensors?download=true</a></p><p>All the videos are i2v and have the workflows attached to them so you can download them and see which is which. </p><p>Going to try and do a rank 64 version of it with the same settings plus some block swap to see if that helps it learn the vagina concept better.</p><p>I think some more experimentation is required in figuring out the correct gen settings so if you find some settings that give good results do share.</p>",
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ltx23/lora/LTX-2.3 Blowjob animation (I2V) PATCHED/extra_data-vid_2859563/model_dict-mid_2544528-vid_2859563.json

@@ -1,7 +1,7 @@
 {
   "id": 2544528,
   "name": "LTX-2.3 Blowjob animation (I2V) PATCHED",
-  "description": "<p>A patched version of <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/2535778/ltx-23-blowjob-animation-i2v\">https://civitai.com/models/2535778/ltx-23-blowjob-animation-i2v</a> to fix the strange eyelashes artifact. I was given permission to temporarily post it by the original creator so they can download it and possibly upload it on their post. Make sure to check out their content and support them!</p>",
+  "description": "<p>A patched version of <a target=\"_blank\" rel=\"ugc\" href=\"https://civitai.com/models/2535778/ltx-23-blowjob-animation-i2v\">https://civitai.com/models/2535778/ltx-23-blowjob-animation-i2v</a> to fix the strange eyelashes artifact. I was given permission to temporarily post it by the original creator so they can download it and possibly upload it on their post. Make sure to check out their content and support them!</p><p></p><h2 id=\"!-if-you-post-things-in-the-gallery-that-violate-the-tos-i-will-block-and-report-you.-don't-do-this-shit.\"><span style=\"color:rgb(250, 82, 82)\"><strong>! If you post things in the gallery that violate the TOS I will block and report you. Don't do this shit.</strong></span></h2><p></p><h2 id=\"for-18+-only.-this-is-not-to-be-used-for-any-illegal-or-unethical-purposes-or-on-any-real-person-or-likeness.-don't-be-fucking-sus.\"><strong>For 18+ only. This is NOT to be used for any illegal or unethical purposes or on any real person or likeness. Don't be fucking sus.</strong></h2><p></p>",
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   "allowCommercialUse": "{Image,RentCivit,Rent,Sell}",
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ltx23/lora/LTX23 Feets (and shoeplay)/LTXV23_dip'n'feets_V1_e40000-mid_2588526-vid_2907874.csv

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ltx23/lora/LTX23 Feets (and shoeplay)/extra_data-vid_2907874/129176763.mp4

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ltx23/lora/LTX23 Feets (and shoeplay)/extra_data-vid_2907874/model_dict-mid_2588526-vid_2907874.json

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+  "name": "LTX23 Feets (and shoeplay)",
+  "description": "<p><span style=\"color:rgb(230, 73, 128)\">More LTX foot experiments.</span></p><p><span style=\"color:rgb(34, 139, 230)\">Trained to improve dorsum (top of feet), soles, toe movements, as well as foot/shoe interaction.</span></p><h3 id=\"it-works-alright-but-don't-expect-miracles\"><span style=\"color:rgb(253, 126, 20)\">It works alright, but don't expect miracles</span></h3><p><span style=\"color:rgb(253, 126, 20)\">LTX is just bad at feet, and LoRA can only improve so much when priors are this bad...</span></p><p><span style=\"color:rgb(250, 82, 82)\">Common problems are extra toes and missing toes.</span></p><p><span style=\"color:rgb(250, 82, 82)\">Movement and transitions from dorsum to sole views can get wonky.</span></p><p></p><p><span style=\"color:rgb(250, 176, 5)\">Weight 1.0 seems fine, but I've used it as low as 0.3 depending on context and other loras.</span></p><p><span style=\"color:rgb(250, 176, 5)\">I also usually use this with the ltx reasoning lora.</span></p><p></p><p><span style=\"color:rgb(130, 201, 30)\">All previews were generated with the official LTX 2-stage Distilled workflow (dev model + distilled lora at 0.5).</span></p><p><span style=\"color:rgb(34, 139, 230)\">T2V previews are mostly marked as such but should be easy to identify.</span></p><p></p><p><span style=\"color:rgb(121, 80, 242)\">technobullshit:</span></p><p><span style=\"color:rgb(121, 80, 242)\">I originally only trained for dipping/shoeplay using the same dataset I used for my Wan Dipping lora, except the captions were dramatically expanded using Qwen3VL video captioning.</span></p><p><span style=\"color:rgb(121, 80, 242)\">That turned out pretty well, and also improved general foot knowledge, but it still had zero knowledge of soles, so I added a lot of sole-focused clips and re-trained.</span></p><p><span style=\"color:rgb(121, 80, 242)\">Training data was 102 dipping/shoeplay clips, plus 52 soles/toe-wiggles clips.</span></p><p><span style=\"color:rgb(121, 80, 242)\">Trained at 0.25MP / nominal 512x512 res, rank 32 to 40,000 steps using official LTX trainer on 5090.</span></p><p><span style=\"color:rgb(76, 110, 245)\">The \"dipping only\" version seems to work better if you really only want dipping, but I'm not publishing it right now because I'm lazy. Leave a comment if anyone is interested and I'll publish it.</span></p><p></p>",
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ltx23/lora/Petite Selfie LTX-2.3/extra_data-vid_2896186/model_dict-mid_2577932-vid_2896186.json

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