This is a INT8 (row-wise) quantization made with "convert_to_quant" script with --int8 --scaling_mode row --anima --low-memory flags. The purpose of this is to squeeze as much vram as possible on low-end GPUs (6gigs) like mine, at least i noticed significant speed up during loading and generating images, so i want to share this with people.

8-16 steps
CFG 1-2
Sampler - Euler/ER_SDE
Scheduler - Simple/Beta57

You can also use int8 qwen3_06b text encoder provided by reakaakasky
https://civarchive.com/models/2760490/anima-int8?modelVersionId=3109193
to squeeze more memory.

AnimaTurbo 1.0 is identical to
https://civarchive.com/models/2458426/anima?modelVersionId=3108589
AnimaYume 1.0 have "Expressive" Turbo Lora by kai



Thanks circlestone_labs for amazing Anima model, duongve13112002 for great AnimaYume finetune, kai for excellent revision of turbo lora.