This Lora is made to enhance the ability / quality to create anthro and furrybut it works also for all kind of other fantasy creatures and animals toothe range that it can handle for example the Wan 2.2 V2 Lora is from comic and drawing towards real photos .i made the lora for Hunyuan Video , WAN 2.1 and 2.2 (SFW and NSFW)<h3 id="furry-enhancer-hunyuan-v1">Furry Enhancer Hunyuan V1</h3>The Hunyuan Video version is trained for Text to Video (T2V) but i also tested it on Image to Video its also working with it very good but not made for that.All example images for the Hunyuan Video are made T2VIts also compatible with <a target="_blank" rel="ugc" href="https://civarchive.com/models/1672396/ratatoskr-hunyuan-animal-creature-and-furry">Ratatoskr Hunyuan</a><h3 id="wan-2.1-i2v-and-t2v-v1">Wan 2.1 I2v and T2V V1</h3>The Wan 2.1 has 2 different modelsI2V and T2Vthe image to video is in most cases the model of choice for Wanfor the Text to Video Variant please read the description.Its also compatible <a target="_blank" rel="ugc" href="https://civarchive.com/models/1713721/ratatoskr-wan-21-i2v-animal-creature-and-furry">Ratatoskr WAN 2.1 (ITV)</a> and will for sure increase the quality especially in the NSFW Area.I also tested the I2V Lora with Wan 2.2 it seems to enhance the result too but very experimental<h3 id="wan-2.2-i2v-and-t2v-v1">Wan 2.2 I2V and T2V V1</h3>This enhancer version is for <a target="_blank" rel="ugc" href="https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B">Wan 2.2 </a>its splitted in basically 2 Loras: low and high noiseboth 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 videosit's completely synthetic so no real persons or art is used for the dataset.whats the pros of this lora compared to the wan 2.1?<ul><li>more consistent</li><li>more specimen</li></ul>better in sfw and nsfwi recommend using both loras and use the workflow in the training folder Note: your resolution needed to set between 0.4 (480P) and 0.92 (720p) overwise the lora generate backscreens or other failures.for strength i prefer the full 1.0 strength its testedits tested with the original wan 2.2 modelalso in a short test with my <a target="_blank" rel="ugc" href="https://civarchive.com/models/1713721/ratatoskr-wan-21-wan-22-hybrid-i2v-animal-creature-and-furry">Ratatoskr WAN 2.2 Hybrid v1.0 WIP</a> model (use only the high noise version with that model)for technical data about Wan 2.2 visit there official site <a target="_blank" rel="ugc" href="https://huggingface.co/Wan-AI/Wan2.2-I2V-A14B">here:</a><h3 id="v2-furry-enhancer-high-noise">V2 Furry Enhancer High Noise</h3>Changes compared to V1<ul><li>more consistent</li><li>more specimen</li><li>better overall movements</li><li>more stable overall</li><li>way better with comic and anime than V1</li></ul>better in sfw and nsfwi recommend using the V1 Version of the <a target="_blank" rel="ugc" href="https://civarchive.com/models/1782485/model-versions/2132861/edit">WAN 2.2 I2V V1.0Low Noise</a>Note: I used for example the old workflow for this model to compare V1 with V1 if you like the newest workflow download the training folder.Important for this workflow is to keep the resolution between 0.4 and 0.92 (480p - 720p)<h3 id="v3-high-noise-and-low-noise">V3 High Noise and Low Noise</h3>This enhancer version is for Wan 2.2its trained my own datasetit's completely synthetic so no real persons or art is used for the dataset.the biggest change in this dataset is its now completely trained on videosChanges compared to V2<ul><li>trained now on over 650 Videos</li><li>better overall movements</li><li>more emotions</li><li>way better with comic and anime than V1 and V2</li></ul>better in sfw and nsfwfor this Version there is also an newtrained Low Noise Model<h3 id="ltx2.3-version-(wip-preview-v0.1)">LTX2.3 Version (WIP Preview V0.1)</h3>this is an preview version of the first attempt to train the ltx 2.3 model with a very limited datasetso it's more like an technical demonstration / trial than a fully trained lora.So don't expect best results yet it's highly experimental.for workflow i have also added an experimental workflow.<h3 id="ltx2.3-version-v1-lora-pack">LTX2.3 Version V1 Lora Pack</h3>This is the First full Release Version of the LTX Version of Furry Enhancer Video.Better to say it's an model pack becauseV1.1 is made based on ltx 2.0 training setup so best for the LTX 2.0 modelV1.215 its the main model trained specifically for the ltx 2.3 Version so start usually with that loraV1.22 More advanced in training but has sound issues.V1.3 experimental (wip) model trained in different training modes (heavy sound issues)you find the used workflows and the different model versions in the "training folder"the loras are tested on the dev version and the distilled variant.what has changed to preview?<ul><li>Trained on the full video database (V1.2 and up) at around 700 videos instead of only 40 videos</li><li>Also trained on my photo database of ratatoskr overall over 10k pictures</li><li>Trained for i2v and t2v</li><li>better overall knowledge and movement .</li></ul>Note: this is still in development because most of the trained videos are based on my wan2.2 database so its planned to train an v2 this year with video output of that model.also i 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://civarchive.com/models/2354193/ltx-23-all-in-one-workflow-for-rtx-3060-with-12-gb-vram-32-gb-ram">akinson</a><h3 id="ltx2.3-version-v2.4">LTX2.3 Version V2.4</h3>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)so what has changed from V1 to V2.4?<ul><li>the trained video resolution is now at 720P constant</li><li>image training did improved from 1024p to 1536p</li><li>added 120 new sound videos for training especially for speech and jaw movements.</li><li>seperated videos with sound and not sound and trained in different databases</li><li>trained for T2V and I2V in stages so its nearly equally trained for both now</li><li>added new pictures to database too but more important overworked the captions fitting better for video training</li></ul>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 comfyon my workflows was the loral at best between 0.8 and 1.0the lora is trained on the dev model but also tested for the distilled versionfor 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://civarchive.com/models/2354193/ltx-23-all-in-one-workflow-for-rtx-3060-with-12-gb-vram-32-gb-ram">akinson</a>please support my work with an like and look on my other loras and models toothe newest workflow download the training folder.in all videos the metadata is also included just download the video and put it into ComfyImportant for this workflow is to keep the resolution between 0.4 and 0.92 (480p - 720p)<h3 id="if-you-like-to-support-me-please-give-a-like-and-check-out-my-other-models.">if you like to support me please give a like and Check out my other models.</h3><h2 id="making-such-loras-take-a-huge-amount-of-cost-and-time-please-support-my-work-with-a-like.">Making such loras take a huge amount of cost and time please support my work with a like.</h2><h2 id="and-please-check-out-my-other-models-and-loras-too-)">and please check out my other models and loras too ;-)</h2>made by <a target="_blank" rel="ugc" href="https://civarchive.com/user/freek22">freek22</a>

Furry Enhancer  Video

furry enhancer hunyuan V1.0.safetensors

Hunyuan  T2V & I2V V1.0

LTX 2.3 V2.4 (Omni)

LTX 2.3 V1.2x (Lora Pack)

LTX 2.3 Preview Version

WAN 2.2 I2V V3.0LowNoise

WAN 2.2 I2V V3.0HighNoise

WAN 2.2 I2V V2.0HighNoise

WAN 2.2 T2V V1.0Low Noise

WAN 2.2 T2V V1.0HighNoise

WAN 2.2 I2V V1.0HighNoise

WAN 2.2 I2V V1.0Low Noise

WAN 2.1 T2V V1.1

WAN 2.1 I2V V1.0

Files with SHA256: 84515c8264673e73d74c309544c46d9b307f13bde035ca8142f3272e3140d37f