CivArchive
    NiceGirls UltraReal - V1.0 krea
    Preview 1
    https://civitai.red/models/1862761/nicegirls-ultrareal?modelVersionId=3075498 Krea2 Actually i tested with different combinations raw and turbo. For best quality i use raw with cfg4, for fast result i use raw, but witth cfg1 and turbo lora (it really gives better quality then kreo2 turbo model). U can use with other loras freely, also works good with Lenovo lora and nsfw loras. recommended weight 0.6-0.8 --Anima Trained on anima3. Recommended strength: 0.4. Works best with block filtering — I created a ComfyUI nodepack for this: ComfyUI-LoRA-Block-Filter. (use no_style_leak preset). Examples generated alongside my other LoRA — Lenovo. 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 https://civitai.com/models/2190193?modelVersionId=2466066 -- 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: https://huggingface.co/Danrisi/Lenovo_Qwen/resolve/main/Qwen_danrisi.json

    Description

    lora
    Krea 2

    Details

    Downloads
    34
    Platform
    Moescape
    Platform Status
    Available
    Created
    8/4/2026
    Updated
    8/4/2026
    Deleted
    -

    Files

    krea2/loras/200e6911-82ee-464a-833e-f691cd5c23c3.safetensors

    Size:
    109.03 MB
    SHA256:

    Mirrors

    Available On (2 platforms)

    Same model published on other platforms. May have additional downloads or version variants.