For all the fans of satisfying cake cutting videos and "Is It 🎂?" The LORA model was trained very quickly on quite low VRAM (24GB) locally. Even though the dataset was in a low quality and it was only roughly a 3000 steps training, this turned out much better than I anticipated. Even to the point where I deem retraining unnecessary. I use HNoise and LNoise both on 1.0 strength.<h3 id="be-descriptive!">Be descriptive!</h3>This is the most important part - it is crucial to say exactly what you want to happen and ideally to give this LORA some details to work with - what happens when you cut it open, how the object behaves - is it spongy? is it not? - etc. This model is intended to only be used in the object cutting + cake reveal context. For any other usage I can't guarantee any good results😉Example of a very simple, but effective prompt:<pre><code> 

c4k3LX, a knife cuts the shoe, it's surface layers peeling off and act like a soft cake under knife's pressure, revealing it's interior to be a soft multi-color layered cake.


</code></pre> For any questions, please ask away! I'm very new to this, it's first LORA I trained and I'm myself still learning a lot every time I try stuff like this out :) Maybe more LORAs will be coming in the future ^^

[LX] Cut Anything... it's a cake! 🍰 ❖→❖ Wan 2.2 I2V-A14B

wan22_14A_i2v_c4k3LX_HN.safetensors

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