41:I[22744,["9386","static/chunks/7d384bb9-084757cb36783e03.js","7138","static/chunks/7138-7aaa3bcb8b73c744.js","1340","static/chunks/1340-b9b506720541a7ef.js","1561","static/chunks/1561-4bad7323c194c5e4.js","1453","static/chunks/1453-0f83cbfb9c89fd02.js","5587","static/chunks/5587-356cfa9b146c6b7c.js","1827","static/chunks/1827-27f4839f7e624fe5.js","5939","static/chunks/5939-0c829981a289a103.js","171","static/chunks/171-6b72208daf6edc76.js","1424","static/chunks/1424-96ec6740019376a3.js","3598","static/chunks/3598-8c93f96e678400eb.js","5604","static/chunks/5604-eaeca6feb1975048.js","2851","static/chunks/2851-aedd0ee63ff05519.js","2358","static/chunks/2358-69ec618f837ce192.js","4485","static/chunks/4485-8ef1eb1f955e3178.js","2259","static/chunks/2259-7abeab888f0e39dd.js","5020","static/chunks/5020-0f956968b611873b.js","3432","static/chunks/3432-bbd3074b2049c0fa.js","8072","static/chunks/8072-6469222cac4e7e2b.js","818","static/chunks/app/(main)/(content)/ai-models/search/tags/%5Btag%5D/page-18610fca8ec8b3f0.js"],"AiModelsHeader"] 42:I[59984,["9386","static/chunks/7d384bb9-084757cb36783e03.js","7138","static/chunks/7138-7aaa3bcb8b73c744.js","1340","static/chunks/1340-b9b506720541a7ef.js","1561","static/chunks/1561-4bad7323c194c5e4.js","1453","static/chunks/1453-0f83cbfb9c89fd02.js","5587","static/chunks/5587-356cfa9b146c6b7c.js","1827","static/chunks/1827-27f4839f7e624fe5.js","5939","static/chunks/5939-0c829981a289a103.js","171","static/chunks/171-6b72208daf6edc76.js","1424","static/chunks/1424-96ec6740019376a3.js","3598","static/chunks/3598-8c93f96e678400eb.js","5604","static/chunks/5604-eaeca6feb1975048.js","2851","static/chunks/2851-aedd0ee63ff05519.js","2358","static/chunks/2358-69ec618f837ce192.js","4485","static/chunks/4485-8ef1eb1f955e3178.js","2259","static/chunks/2259-7abeab888f0e39dd.js","5020","static/chunks/5020-0f956968b611873b.js","3432","static/chunks/3432-bbd3074b2049c0fa.js","8072","static/chunks/8072-6469222cac4e7e2b.js","818","static/chunks/app/(main)/(content)/ai-models/search/tags/%5Btag%5D/page-18610fca8ec8b3f0.js"],"AiModelsFilters"] 43:I[36890,["9386","static/chunks/7d384bb9-084757cb36783e03.js","7138","static/chunks/7138-7aaa3bcb8b73c744.js","1340","static/chunks/1340-b9b506720541a7ef.js","1561","static/chunks/1561-4bad7323c194c5e4.js","1453","static/chunks/1453-0f83cbfb9c89fd02.js","5587","static/chunks/5587-356cfa9b146c6b7c.js","1827","static/chunks/1827-27f4839f7e624fe5.js","5939","static/chunks/5939-0c829981a289a103.js","171","static/chunks/171-6b72208daf6edc76.js","1424","static/chunks/1424-96ec6740019376a3.js","3598","static/chunks/3598-8c93f96e678400eb.js","5604","static/chunks/5604-eaeca6feb1975048.js","2851","static/chunks/2851-aedd0ee63ff05519.js","2358","static/chunks/2358-69ec618f837ce192.js","4485","static/chunks/4485-8ef1eb1f955e3178.js","2259","static/chunks/2259-7abeab888f0e39dd.js","5020","static/chunks/5020-0f956968b611873b.js","3432","static/chunks/3432-bbd3074b2049c0fa.js","8072","static/chunks/8072-6469222cac4e7e2b.js","818","static/chunks/app/(main)/(content)/ai-models/search/tags/%5Btag%5D/page-18610fca8ec8b3f0.js"],"AiModelCard"] 44:T550,

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.

Be descriptive!

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:

 

c4k3LX, a knife cu

Search AI Models & Addons

very few results