PonyTrained on the same dataset and parameters as Animagine------------------------------------------------------------------------------------------------------v2I classified the artist style into three categories: shs, cpc, msm,Each of shs, cpc, msm, includes elements of 1girl and solo, so excluding 1girl and solo from the prompt might strengthen the effect.While tags like "xxxStyle" might be more user-friendly, they did not work well, so we used this method, which is also employed in Pony. The tags were chosen based on the conditions of 1token and 3characters, and they do not carry any other meaning.Optimizer: AdafactorLR Scheduler: cosine with restartsUnet: 7.5e-6 , TE: 7.5e-6To further subdivide the style of the same artist, it seems that around 30 images are needed for each style.------------------------------------------------------------------------------------------------------v1After fine tuning AnimagineV3.1, I extracted LORA from the model.I don't think there are any quality issues with Dim16, but I will upload the model before extraction as well.This LORA is still experimental, and there's room for improvement in the parameters and dataset, but for now, I'll consider it complete.Recommended schedule type : SGM Uniform

【Art Style】 gomzi - Animagine & Pony

Animagine_Style7371221586FT_LoCon_D32.safetensors

LORA Dim32

Pony Checkpoint

Pony LORA Dim16

v2 Checkpoint

v2 LORA Dim64

v2 LORA Dim16

Checkpoint

LORA Dim16

Files with SHA256: 5eeb3ee12facedc9ec8a925ba8bbaf7ce2f1c108617087f4200776dcd1d780e0