clip 2, vae on, hypernetwork strenght 1.1-Install Monkeypatch Extension and reload the ui<a target="_blank" rel="ugc" href="https://github.com/aria1th/Hypernetwork-MonkeyPatch-Extension">https://github.com/aria1th/Hypernetwork-MonkeyPatch-Extension</a>2-Go to create Beta hypernetwork in your train section. 3-Place this layer structure 1,0.1,0.1,1 //thanks queria!, i personally like this so much.4-Select activation function of hypernetwork:tanh5-Select Layer weights initialization:xavier normal6-and finally, create the hypernetwork.7-now in Train_Gamma, select your new hypernetwork.8-Hypernetwork Learning rate: 6.5e-3 "this is for the math" so is perfectly normal ,also, 6.5e-4 will cause less damage to original image.9-enable Show advanced learn rate scheduler options(for Hypernetworks) and Uses CosineAnnealingWarmupRestarts Scheduler.10-Steps for cycle = number of images in your dataset.11-Step multiplier per cycle: 1.1 or 1.212-Warmup step per cycle = the half of number of images.13-Minimum learning rate for beta scheduler = 1e-5 [ or 6.5e-7 , will get less style from dataset, but more control ]14-Decays learning rate every cycle = 0.9 or 115a-batchsize 2, grad 1, steps 1000.15b-you can also do this [ batchsize 2, grad(number of image in dataset divided by two) but for that you only will need something like 250 steps, but personally i don't like it. 16- your prompt file need to be style.txt.17- you can also try to "Read parameters (prompt, etc...) from txt2img tab when making previews" to see results with the style in your prompt, for example, mine is "girl in a red kimono".Note: i train with 2 clip skip, none hypernetwork, and 1 hypernetwork strength.18- and i'ts that! 5 MB of hypernetwork trained in under 10/20 minutes.

[LuisaP] Tutorial Hypernetwork - Monkeypatch method

this is one of my first trains using this method

Files with SHA256: 7163c3d6cc82b70d324675ceb2bc7f776416261f2e74ab1977df2344a164847c