--Anima Trained on anima3. Recommended strength: 0.4.Works best with block filtering — I created a ComfyUI nodepack for this: <a target="_blank" rel="ugc" href="https://github.com/DanrisiUA/ComfyUI-LoRA-Block-Filter">ComfyUI-LoRA-Block-Filter</a>. (use no_style_leak preset). Examples generated alongside my other LoRA — Lenovo. Experimental version. Results may vary depending on prompt and block weight settings. --Qwen2512 Trained with the best my technique. Best use with Samsung lora -- Z-Image (Asian Edition) I'm experimenting with a completely different training method here. While it's still a work in progress, feel free to give it a try.Regarding the examples: I used 40 steps to test the limits, but you can definitely achieve good results with fewer steps like 20 for example -- Chroma Use with weight around 0.6-0.8. Works great along with lenovo lora -- Z-Image Unfortunately at this moment only european girls, but this was just test, so wait for new versions. Highly recommend to use with my workflow <a target="_blank" rel="ugc" href="https://civarchive.com/models/2190193?modelVersionId=2466066">https://civarchive.com/models/2190193?modelVersionId=2466066</a> -- Qwen Alternative version gives more clean result with less noise, blur, grain. I recommend when blend with other loras to set weight around 0.6 Just a beauty girls for qwen. Use it along with my Lenovo lora for Qwen You can take workflow here: <a target="_blank" rel="ugc" href="https://huggingface.co/Danrisi/Lenovo_Qwen/resolve/main/Qwen_danrisi.json">https://huggingface.co/Danrisi/Lenovo_Qwen/resolve/main/Qwen_danrisi.json</a>

NiceGirls UltraReal

NIceAsians_Zimage.safetensors

Z-Image (Asian edition)

v0.5 Anima

v1.0 Qwen2512

v1.0 ZImageBase

v1.0 Flux.Klein 9b Base

v1.0 Flux2

v1.0 Chroma

v1.0 Z-Image Turbo

v1.0 (alternative)

v1.0 Qwen

Credit to: <a target="_blank" rel="noopener noreferrer nofollow" href="https://civitai.com/user/Danrisi">https://civitai.com/user/Danrisi</a>

Asian Edition

Files with SHA256: b51a0a20fd93ba3fec2f0e9a99c3f3e4957164711605df0e17c79734af3949fb