Lianima 4 Krea2

Lianima for Krea2

So, i dropped the dataset for Lianima as-is in the on-site trainer and did 10 epochs of training on Krea2 just to experiment. In the end, i am quite happy with the result which will allow me to test some Krea2 LoRA on top of my own style! 💕

Since i can't run it locally yet, i need to make it available to test it on-site (i don't have a membership anymore, i can't test from the trainer). (That's no longer the case, yeah!)

NB: since it is an ANIMA dataset, it's tag based, sorry for the NLP lovers, still not my forte 😅

NB2: The LoRA has a strong bias toward female character and Liadora base outfit (naked shoulder dress, black clothes).

Usage (personal preference):

• Steps: 10

• CFG: 1.2

• Sampler: ER_SDE

• Scheduler: Beta (or smoothstep for sd.cpp)

All showcases pictures (except the first few tests) are generated using stable-diffusion.cpp (which now support Krea2, yeah! Local gen is back!)

• VAE: https://huggingface.co/Comfy-Org/Wan_2.1_ComfyUI_repackaged/blob/main/split_files/vae/wan_2.1_vae.safetensors

• TE: https://huggingface.co/Qwen/Qwen3-VL-4B-Instruct-GGUF/blob/main/Qwen3VL-4B-Instruct-Q8_0.gguf

• Turbo: https://huggingface.co/realrebelai/KREA-2_GGUFs/blob/main/TURBO/Krea-2-Turbo-Q5_K_S.gguf

The model should also work well on Raw, in this case, go for CFG 3.5 and 30 steps from my first tests.

Version difference

• Vanilla is an average of epoch 6-7-8-9 of the pure training result. It suffers from censorship obviously even if some NSFW pictures were present and the "classic" LoRA filter did not help (i tried several and even fiddled a bit with numbers). But this LoRA by @alcaitiff did! 💜

• Uncensored is an ugly merge of the Mystic XXX LoRA at strength 0.8, both using standard layers addition and SVD. Since neither was exactly what i wanted, i re-did a merge between those. I did this merge for personal usage as i would rather only load one LoRA and use base Turbo. You can either use Vanilla on an uncensored model or use the source Lora which is great! 😍 (I may do a model merge and then a quantization to have LoRA-included version locally, not quite sure it would be useful to provide it here).

Thanks for reading! 💜