workflows / WAN /malcolmrey-wan22-workflow.json
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"Hello!\n\nThis is malcolmrey and this is WAN 2.2 workflow that I use with my models :-)\n\nThis is v1.0.0 of this workflow, the date is 21.09.2025\n\n---\n\nYou can find me on:\n\nCivitai:\nhttps://civitai.com/user/malcolmrey\n\nSome of my older models are still there (like perfect eyes and styles) but nowadays it is mainly for the articles - how to train and use models.\n\n--\n\nReddit:\nhttps://reddit.com/r/malcolmrey\n\nHere I share some various news concerning my models, etc.\n\n--\n\nHuggingFace\nhttps://huggingface.co/malcolmrey\n\nHere I share most of my Loras nowadays.\n\n--\n\nBuyMeACoffee\nhttps://buymeacoffee.com/malcolmrey\n\nHere is where you can support me, make some requests and also get access to the MEGA folder with all my loras.\n(I keep all my loras public, but it is better to be safe than sorry, so having a mirror is always nice)\n\n-----\n\nSadly, I do not remember who came up with the original workflow. Kudos to you, forgotten fellow!"
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"Existence of v2 (v3, etc) models means:\n\n1) Either I was dissatisfied with previous version and made another one\n\n2) Or I wanted an additional model (different dataset) to be able to use both (or more) at the same time at lower weights.\n\nI made an article about it in the SD1.5 times but the same concept worked fine in Flux and now in WAN -> https://civitai.com/articles/1721/improving-results-by-using-multiple-models-of-the-same-concept-turning-it-to-11\n\nTL;DR is that training the same subject on different datasets and then combining the models will give you better likeness in general (there is a chance you will hit the jackpot in a single lora).\n\nIn SD1.5 and Flux it also helped with consistency, you were getting good results more often. In WAN I feel like if the model is good (or combination of models) then you will always get good results, if the model is bad - you will always get bad results.\n\n---\n\nI didn't list all the pairs that I've already made, just three to show you an example."
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