NOTICE ~Make sure to download the correct version for the tool you use 😉~ NOTICE Wan Self forcing Rank 16Some other versions of this have been uploaded, however those are less compatible with other LoRA and the internal structure prevented me from using them with Blissful Tuner (My advanced, extended Musubi Tuner: <a target="_blank" rel="ugc" href="https://github.com/Sarania/blissful-tuner/">https://github.com/Sarania/blissful-tuner/</a> ). This is a Rank 16 extraction of <a target="_blank" rel="ugc" href="https://huggingface.co/lightx2v/Wan2.1-T2V-14B-StepDistill-CfgDistill">https://huggingface.co/lightx2v/Wan2.1-T2V-14B-StepDistill-CfgDistill</a> for use with compatible sampler to allow high quality 4 to 8 step diffusions with Wan architecture models. Both a Blissful compatible version and Comfy compatible version are provided. They target only the minimum params necessary to further improve compatibility. Instructions for use: You need a compatible sampler such as LCM, flow_shift = 8.0 and guidance_scale/CFG = 1.0 - this means no negative prompt(Edit: See comment below about how to get better quality + negative prompt). However in exchange you get exceptional quality, quick video diffusions with pretty much any Wan arch model - I've tried it with T2V, I2V, and Skyreels V2 myself and it works perfectly all around! It also works with other LoRA that I've tried - the kissy showcase video here was made with my AmorousLesbianKisses model and the four wheeler video was made with <a target="_blank" rel="ugc" href="https://civarchive.com/models/1698719/high-speed-dynamic?modelVersionId=1922492">https://civarchive.com/models/1698719/high-speed-dynamic?modelVersionId=1922492</a> ! To offset the lack of CFG/negative prompt, you can use prompt weighting. Also I've had luck using CFG on just the first step with a low value like 1.6 if you REALLY need that negative. I like to use 6 steps for T2V and 4 for I2V. Showcase videos (832x1104@81f) were made in about 5 minutes on my 4070 Ti Super and then they were VFI'd from 16 fps to 32fps in another couple minutes. Please note that I did not train the distilled model, credit for that goes to lightx2v - thanks to them for releasing their model under permissive terms! I've been waiting for a distilled Wan that was up to my quality standards and this is it. IMO it's superior to others such as CausVid/AccVid. As mentioned above I've had success not only with T2V, but also I2V and even Skyreels V2! As such it's likely most any Wan derived model would be compatible. Please note that as mentioned, versions of this have been uploaded before. However, I felt it was still worth posting these due to the compatibility issues mentioned above, and also my extraction is smaller and more targeted for better compatibility with other LoRA. P.S. If you want to extract your own LoRA from Wan or other diffusion models, the script I used is one of the many extras in Blissful Tuner <a target="_blank" rel="ugc" href="https://github.com/Sarania/blissful-tuner/blob/main/src/blissful_tuner/extract_lora.py">https://github.com/Sarania/blissful-tuner/blob/main/src/blissful_tuner/extract_lora.py</a>

Files with SHA256: fed2c85cb2bc26ae61763481fb7206f39100bd2fc112b07daa070c7d5078d48e