My first longer Wan2.2 continuation generation. I am so excited

Hey guys, I am so excited to share this with you guys. I know for a lot of Pros here, this maybe a baby's work so please be gentle. Until a month ago, I didnt know anything but to use those google AI editors in mobile phones. I decided to learn how to actually do it, control the variables. Over time, I went through at least a couple TB worth of downloads, one model after another, started from AUTOMATIC1111, then tried Flex, then Flux and then Wan. Along the way, I learnt how to properly create prompts to tell the model what we want. Then I started building a character Lora, which I am still working on. The girl in this video is my Flux generated and Wan trained 3800 step character Lora. (based off of 111 flux1 generated dataset). I am not ready to publish it yet. Since I need to work on details like skin realism etc Meanwhile, I also wanted to cover a little bit of animation so after trial and error, and again, trying different models and Bs, I am starting to really like Wan2.2 14b I2V model. This is I2V + prompt generated 2sec shots clip joined together in DaVinci. No post processing or timeline change. At points, i have noticed stutters and patchy head movement, Created with Wan 2.2 i2v Hi/Lo Noise models + lightx2v_4step lora + my trained lora + Wan Continuation Conditioning in ComfyUI. The reason I am not going full 14B is my 16gig vram on 5070ti. Each 2sec shot on 30fps took me about 3-5 min to generate, full 14B (without 4 step) took about 10-15 min per 81 frames on 16fps. Theres a lot to learn from here on, I think I am still covering base on basic operations. Any input from your guys will be highly appreciated. Thanks. submitted by /u/SnooMacaroons1365 [link] [comments]

Source: r/StableDiffusion | 2026-07-28

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