<span style="background-color:rgba(34, 139, 230, 0.15);color:rgb(254, 254, 254);font-family:-apple-system, BlinkMacSystemFont, &quot;Segoe UI&quot;, Roboto, Helvetica, Arial, sans-serif, &quot;Apple Color Emoji&quot;, &quot;Segoe UI Emoji&quot;;font-size:16px">☕KOFI <a target="_blank" rel="ugc" href="https://docs.google.com/forms/d/e/1FAIpQLScltzaQXTF2VFWRWVaqPSzJXYyNBF9hUQOLI8aBCyLrpCM1_w/viewform?usp=dialog">https://docs.google.com/forms/d/e/1FAIpQLScltzaQXTF2VFWRWVaqPSzJXYyNBF9hUQOLI8aBCyLrpCM1_w/viewform?usp=dialog</a>💢 I appreciate feedback but, really guys you shouldn't come here to tell others to not support me because you get bad results, I'm not Amazon, I'm not "selling" the lora, early access is a way to support our work so we continue doing it, some of you are crazy really... You can check the metadata/workflow of the videos I uploaded.. Please upload your videos with the workflow then complain, thanks ! 💢Ultimate NSFW Helper LoRa for Wan2.2 I2V<ul><li>Trained on diffusion pipe with a dataset of 5131clips of various resolution, 1sec to 3sec or 5sec (3hr to complete 1 epoc, num repeat = 1)</li><li>Optimizer/learning rate: automagic</li><li>both model trained at 211 bucket</li></ul>The lora contains multiple of the datasets of my existing loras and some additional ones, i made a big ass datset and trained it all together.You can use this lora for help other concepts to get better results, being honest i havent tested with other creators lora, just mine, but it works awesome, you can make a man thrust his meat into a brick wall,, check the gallery.The workflow im using is:<ul><li><a target="_blank" rel="ugc" href="https://civarchive.com/models/1824027/wan-22-aio-t2v-i2v-s2v-t2i-mmaudio4-6-stepsloop-video-extend-wanvideowrapper-workflowk3nk">WAN 2.2 💠 T2V / I2V / S2V / T2I🔹4-6 steps🔹Loop 🔹Video extend 🔹WanVideoWrapper Workflow🔹K3NK</a> (sample vids are 6 steps)</li></ul>*you have it inside the my video's metadata, as allways.Feel free to tinker and share your videos! 📹📼🎞️Have fun! 😜***** This LoRA is provided as is and intended for lawful and responsible use.It acts as a general-purpose refinement layer, influencing how the base model expresses prompts and concepts rather than performing direct transformations. The resulting output is always driven by the prompt and the capabilities already present in the underlying base model.The LoRA does not rely on paired inputs, before/after examples, or transformation-specific training. It focuses on improving coherence, detail, and stability across generations, including mature-themed outputs already supported by the base model.No specialized datasets targeting identity exposure or content reconstruction were used during training. All faces and potentially identifiable features were masked or anonymized throughout the training process.By downloading or using this LoRA, you accept full responsibility for its use and agree to comply with all applicable laws and platform rules.*****

K3NK 4llinOne - NSFW Helper - Wan 2.2 Video LoRa - K3NK

wan22-k3nk4llinon3-16epoc-full-low-k3nk.safetensors

wan22-k3nk4llinon3-18epoc-full-low-k3nk.safetensors

wan22-k3nk4llinon3-15epoc-full-low-k3nk.safetensors

K3NK 4llinOne -  Helper - Wan 2.2 Video LoRa - K3NK

Low noise - v1.0

High noise - v1.0

Ultimate SFW Helper LoRa for Wan2.2 I2VTrained on diffusion pipe with a dataset of 5131clips of various resolution, 1sec to 3sec or 5sec (3hr to complete 1 epoc, num repeat = 1)Optimizer/learning rate: automagicboth model trained at 211 bucketThe lora contains multiple of the datasets of my existing loras and some additional ones, i made a big ass datset and trained it all together.You can use this lora for help other concepts to get better results, being honest i havent tested with other creators lora, just mine, but it works awesome, you can make a man thrust his meat into a brick wall,, check the gallery.The workflow im using is:WAN 2.2 💠 T2V / I2V / S2V / T2I🔹4-6 steps🔹Loop 🔹Video extend 🔹WanVideoWrapper Workflow🔹K3NK (sample vids are 6 steps)*you have it inside the my video's metadata, as allways.Feel free to tinker and share your videos! 📹📼🎞️Have fun! 😜***** This LoRA is provided as is and intended for lawful and responsible use.It acts as a general-purpose refinement layer, influencing how the base model expresses prompts and concepts rather than performing direct transformations. The resulting output is always driven by the prompt and the capabilities already present in the underlying base model.The LoRA does not rely on paired inputs, before/after examples, or transformation-specific training. It focuses on improving coherence, detail, and stability across generations, including mature-themed outputs already supported by the base model.No specialized datasets targeting identity exposure or content reconstruction were used during training. All faces and potentially identifiable features were masked or anonymized throughout the training process.

Files with SHA256: 72bbd4b7f72d357ba17dd56b07a546b20258ba8b07c5e12ea6edd2c887056d21