CivArchive
    LunaR - v2B - v2B
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    LunaR is a specialized LoRA designed to enhance [mention the style, e.g., feminine features / cinematic lighting / specific character details]. It focuses on delivering high-quality textures and consistent results for [mention the subject, e.g., portrait photography / stylized characters].

    Key Features:

    • Style: [e.g., Realistic, Semirealistic, Stylized]

    • Best used for: [e.g., Close-up portraits, dramatic lighting, fashion shots]

    • Trigger Word: LunaR

    Usage Tips

    • Recommended Weight: 0.6 - 0.8 (Adjust based on your checkpoint)

    • Sampling Method: [e.g., Euler a, DPM++ 2M Karras]

    • CFG Scale: 5 - 7

    • Base Model: Recommended for use with [mention your base model, e.g., Pony Diffusion V6 / SDXL 1.0].

    Notes

    • What it’s good at: [e.g., Capturing intricate skin details and soft lighting.]

    • What to avoid: [e.g., Not intended for complex landscapes or heavy architectural work.]

    If you enjoy using this model, please consider leaving a review and sharing your generations! Your feedback helps me improve future iterations.

    Description

    Version changes or notes: Describe the changes in your version, e.g., refined details, organized and updated.

    v1.0.1:

    Version changes or notes

    Initial release of the LunaR LoRA. This model is fine-tuned to generate high-quality, photorealistic portraits with a signature vibrant pink and yellow ombre hair style. It handles both soft, natural indoor lighting and dramatic, cinematic night scenes with excellent skin texture and facial consistency.

    Trigger Words

    LunaR (Note: If you trained it with specific tags for the hair or glasses, you can add multicolored hair, round glasses as well, but LunaR is your main one.)

    Recommended Settings

    • Clip Skip: 2

    • Min Strength: 0.5

    • Max Strength: 1.0

    • Strength (Default): 0.8

    Training Parameters

    If you remember your training data, you can fill these in, but they are optional:

    • Epochs (Korszakok): 10 (standard guess)

    • Steps (Lépések): 2000 (standard guess)

    Quick Tip: Once you fill these out and click Next (Következő), you will be able to upload your .safetensors file and then the showcase images we wrote the prompts for earlier!

    V1:

    LunaR is a specialized LoRA designed to enhance [mention the style, e.g., feminine features / cinematic lighting / specific character details]. It focuses on delivering high-quality textures and consistent results for [mention the subject, e.g., portrait photography / stylized characters].

    Key Features:

    • Style: [e.g., Realistic, Semirealistic, Stylized]

    • Best used for: [e.g., Close-up portraits, dramatic lighting, fashion shots]

    • Trigger Word: LunaR

    Usage Tips

    • Recommended Weight: 0.6 - 0.8 (Adjust based on your checkpoint)

    • Sampling Method: [e.g., Euler a, DPM++ 2M Karras]

    • CFG Scale: 5 - 7

    • Base Model: Recommended for use with [mention your base model, e.g., Pony Diffusion V6 / SDXL 1.0].

    Notes

    • What it’s good at: [e.g., Capturing intricate skin details and soft lighting.]

    • What to avoid: [e.g., Not intended for complex landscapes or heavy architectural work.]

    If you enjoy using this model, please consider leaving a review and sharing your generations! Your feedback helps me improve future iterations.

    LORA
    ZImageBase
    by 7p3kai
    Download (Beta) View on CivitAI
    character
    beauty
    women
    gen
    noob
    pic

    Details

    Downloads
    44
    Platform
    CivitAI
    Platform Status
    Available
    Created
    5/16/2026
    Updated
    5/24/2026
    Deleted
    -
    Trigger Words:
    LunaB

    Files

    clip_l (1) (3).safetensors

    Size:
    234.74 MB
    SHA256:
    660c6f5b1abae9dc498ac2d21e1347d2abdb0cf6c0c0c8576cd796491d9a6cdd

    Mirrors

    HuggingFace (1809 mirrors)
    CivitAI (25 mirrors)
    TensorFiles (1 mirrors)
    CivitasBay (1 mirrors)
    ModelScope (3 mirrors)
    ModelScope CN (5 mirrors)

    image_z_image_turbo (1) (1) (1) (1) (2).json

    Size:
    6.06 KB
    SHA256:
    e6b2c3b43d24adfa80077366422b34e4277d93dbc8199ee358cf39a110c9556a

    Mirrors

    CivitAI (14 mirrors)

    clip_l (1).safetensors

    Size:
    234.74 MB
    SHA256:
    660c6f5b1abae9dc498ac2d21e1347d2abdb0cf6c0c0c8576cd796491d9a6cdd

    Mirrors

    HuggingFace (1809 mirrors)
    CivitAI (25 mirrors)
    TensorFiles (1 mirrors)
    CivitasBay (1 mirrors)
    ModelScope (3 mirrors)
    ModelScope CN (5 mirrors)

    Zimagera pony dataset.zip

    Size:
    1.59 MB
    SHA256:
    897da43febafe230af5505d2ead5f8545928508efb5aa007db5e33e27ea063cd

    Mirrors

    CivitAI (3 mirrors)

    clip_l (1) (3).safetensors

    Size:
    234.74 MB
    SHA256:
    660c6f5b1abae9dc498ac2d21e1347d2abdb0cf6c0c0c8576cd796491d9a6cdd

    Mirrors

    HuggingFace (1809 mirrors)
    CivitAI (25 mirrors)
    TensorFiles (1 mirrors)
    CivitasBay (1 mirrors)
    ModelScope (3 mirrors)
    ModelScope CN (5 mirrors)

    TCTR18QW73ACEKD4Z97SXSE490.safetensors

    Size:
    217.88 MB
    SHA256:
    0792d6e140392c63d1db12ddfa137ae08ada8d810a719bfa163a8c10c06be821

    Mirrors

    CivitAI (10 mirrors)

    TCTR18QW73ACEKD4Z97SXSE490.safetensors

    Size:
    217.88 MB
    SHA256:
    0792d6e140392c63d1db12ddfa137ae08ada8d810a719bfa163a8c10c06be821

    Mirrors

    CivitAI (10 mirrors)

    TCTR18QW73ACEKD4Z97SXSE490 (2) (1).safetensors

    Size:
    217.88 MB
    SHA256:
    0792d6e140392c63d1db12ddfa137ae08ada8d810a719bfa163a8c10c06be821

    Mirrors

    CivitAI (10 mirrors)

    decoder (1).pt

    Size:
    2.32 GB
    SHA256:
    c9cebd3132dd9c42936d803e33424145a748843c8f716c0814838bdc8a2fe7cb

    Mirrors

    HuggingFace (2 mirrors)
    CivitAI (20 mirrors)

    decoder (1).pt

    Size:
    2.32 GB
    SHA256:
    c9cebd3132dd9c42936d803e33424145a748843c8f716c0814838bdc8a2fe7cb

    Mirrors

    HuggingFace (2 mirrors)
    CivitAI (20 mirrors)

    LunaR.zip

    Size:
    6.74 MB
    SHA256:
    212536519e68a8d12e98eb49fa1a62c0225e7a907f92f695fc63a755ac94f3ee

    Mirrors

    CivitAI (1 mirrors)

    decoder.pt

    Size:
    2.32 GB
    SHA256:
    c9cebd3132dd9c42936d803e33424145a748843c8f716c0814838bdc8a2fe7cb

    Mirrors

    HuggingFace (2 mirrors)
    CivitAI (20 mirrors)

    TCTR18QW73ACEKD4Z97SXSE490.safetensors

    Size:
    217.88 MB
    SHA256:
    0792d6e140392c63d1db12ddfa137ae08ada8d810a719bfa163a8c10c06be821

    Mirrors

    CivitAI (10 mirrors)

    image_z_image_turbo (1) (1) (1).json

    Size:
    6.06 KB
    SHA256:
    e6b2c3b43d24adfa80077366422b34e4277d93dbc8199ee358cf39a110c9556a

    Mirrors

    CivitAI (14 mirrors)

    image_z_image_turbo (1) (1) (1).json

    Size:
    6.06 KB
    SHA256:
    e6b2c3b43d24adfa80077366422b34e4277d93dbc8199ee358cf39a110c9556a

    Mirrors

    CivitAI (14 mirrors)

    zimage_paletannedskin_000000100.safetensors

    Size:
    20.33 MB
    SHA256:
    262c0b7802d6225ce50f428afde6b9b9a8ad263d3c4f535d1bfcbbb81fc7e0f4

    Mirrors

    HuggingFace (3 mirrors)
    CivitAI (3 mirrors)
    TensorFiles (1 mirrors)

    LUNALORA.zip

    Size:
    206.26 MB
    SHA256:
    c9df63bd45a918b540654c6fb7a9ef47d1fa46d24ee595be9151160d3de12f3c

    Mirrors

    CivitAI (3 mirrors)