Z-Image Lora training test, Used for Z-Image aesthetic enhancement, improving illustration and artistic concepts.
Z image turbo v1: Recommended settings: heunpp2 + linear_quadratic, cfg: 1.5, step: 20, 0.8-1.2
Z image Base v1: euler_ancesral + beta，30 step，4 cfg，0.6-1 weight
Try it online: Tensor | Seaart | Liblib
Z image turbo v1: The LoRa dataset uses a variety of training sets, which affects various styles, including realism, illustration, and animation. It also fixes the aesthetic issues of Z-image. Because LoRa training disrupts the acceleration effect, it requires 20 steps and cfg 1.5-2.0 to be effective. You can try the others yourself.
Due to the difficulty of Z-Image training, the step count and CFG need to be increased. I will update this when a better training method is available in future Base versions. Have fun!
Z image Base v1: Z image Base v1 has been updated; other versions are only released on TensorArt.
we sincerely apologize to users who previously downloaded the z-image base v1 version. as there was no Zimagebase category on Civita at the time of the lora's release, it was mistakenly labeled as Zimgturbo. please try using the base version. or try it on tensorart online
Description
heunpp2+linear_quadratic，cfg：1.5，step：20，0.8-1.2
The LoRa dataset uses a variety of training sets, which affects various styles, including realism, illustration, and animation. It also fixes the aesthetic issues of Z-image. Because LoRa training disrupts the acceleration effect, it requires 20 steps and cfg 1.5-2.0 to be effective. You can try the others yourself.