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    KREA 2 Edit SNOFS Merge - v1.5
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    Added V1.5

    • Merged with the latest Krea 2 SNOFS v1.5


    A merged of Krea 2 with the Krea 2 Identity Edit lora v1.2 adaptation by conradlocke and SNOFS v1.4 LOKR by Ashen [Huggingface] Both baked directly into the model so the separate loras are not required.

    Requires the ComfyUI-Krea2Edit node pack, the edit lora is trained with dual conditioning (in-context VAE tokens + image-grounded Qwen3-VL encoding) that stock nodes don't provide. Example Workflow is attached on the Optional File.

    Change the GGUF loader node to Load Diffusion Model node if you are using BF16, Int8 or Int4 model.

    GGUF loader : https://github.com/molbal/ComfyUI-GGUF

    All example images were created using the Q4_0 / Q4_KM GGUF variant at 0.7 MP resolution with a 3:4 aspect ratio. The BF16, Int8_convrot, int4_convrot variants haven’t been tested extensively, so please share your results here.

    Precision variants

    Several precision variants are available to let you choose the best balance between quality, VRAM usage, and performance:

    • BF16 —> The highest quality, highest precision, high VRAM usage.

    • INT8 ConvRot —> Higher precision with lower quantization loss. Requires more VRAM than the INT4 variant.

    • Q6_K GGUF —> Higher-quality 6-bit quantization, Mostly identical to Q8 with lower vram usage.

    • Q5_1 GGUF —> High-quality 5-bit quantization with a good balance between quality and VRAM usage.

    • Q4_0 GGUF / Q4_KM —> More aggressive 4-bit quantization with lower VRAM usage while retaining good image quality (The best balance for low vram user).

    • INT4 ConvRot —> The most aggressive option, designed for lower VRAM usage and faster inference on supported hardware. Quality is slightly below the Q4 GGUF variants (The fastest).

    In general, expect the precision trade off to be approximately:

    BF16 > INT8 ConvRot > Q6_K > Q5_1 > Q4_KM > Q4_0 > INT4 ConvRot

    Higher precision generally provides better quality, while lower precision reduces VRAM requirements.

    Credits

    This is an unofficial community modification and is not affiliated with or endorsed by Krea.ai.

    Description

    Merged with SNOFS v1.5

    FAQ

    Checkpoint
    Krea 2

    Details

    Downloads
    503
    Platform
    CivitAI
    Platform Status
    Available
    Created
    10/11/2026
    Updated
    10/11/2026
    Deleted
    -

    Files

    krea2EditSNOFSMerge_v15_int8.safetensors

    krea2EditSNOFSMerge_v15.json

    Mirrors

    CivitAI (1 mirrors)

    krea2EditSNOFSMerge_v15_bf16.safetensors

    krea2EditSNOFSMerge_v15_q4KM.gguf

    Mirrors

    krea2EditSNOFSMerge_v15_int4.safetensors

    krea2EditSNOFSMerge_v15_q6K.gguf

    Mirrors