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    Cine RimDepth — Cinematic Rim Lighting & Atmospheric Depth | Anima LoRA - v1.0
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    Cine RimDepth — Cinematic Rim Lighting & Atmospheric Depth | Anima LoRA

    Cine RimDepth is a cinematic lighting and depth enhancement LoRA for Anima, designed to add stronger subject separation, luminous rim lighting, atmospheric perspective, volumetric light, richer shadows, and premium anime key-visual depth.

    It works especially well for:

    • Golden-hour backlighting

    • Dramatic rim lighting

    • Volumetric sun rays

    • Neon rain scenes

    • Forest and outdoor environments

    • Architectural interiors

    • Storm lighting

    • Warm/cool cinematic separation

    • Layered foreground, midground, and background depth

    Trigger

    cine_rimdepth

    LoRA Strength: 0.8–1.0
    Recommended: 1.0
    Guidance: 4.0
    Steps: 30
    Recommended Resolution: 768×1024 or similar high-resolution portrait formats

    Base Model

    Anima Base v1.0

    Use the trigger together with detailed lighting and scene descriptions.

    Example:

    cine_rimdepth, masterpiece, premium mature anime key visual, cinematic lighting, luminous rim light, volumetric god rays, atmospheric perspective, deep detailed shadows, layered foreground midground background, sophisticated composition, ultra-detailed illustration

    The LoRA is intended to enhance lighting, depth and cinematic presentation rather than lock generations to one character or one specific visual theme.

    Version

    V1 — Step 900

    Step 900 was selected after testing multiple checkpoints because it provided the strongest balance of cinematic impact, atmospheric depth, rim lighting and prompt flexibility.

    Showcase Generation

    Showcase images were generated with BF16 inference.

    For best results, BF16 is recommended with the current Anima inference setup.

    Description

    V1 release. Selected checkpoint: Step 900.
    Optimized for cinematic rim lighting, atmospheric depth, volumetric light, warm/cool separation, and stronger subject-background separation.
    Recommended strength: 0.8–1.0.
    Showcase images were generated with BF16 inference, Guidance 4.0, 30 steps.

    Details

    Downloads
    67
    Platform
    CivitAI
    Platform Status
    Available
    Created
    10/31/2026
    Updated
    11/9/2026
    Deleted
    -
    Trigger Words:
    cine_rimdepth

    Files

    cine_rimdepth_v1_step900.safetensors

    Mirrors