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    Ink & Lore - Forgotten Tales v1.0
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    I post models on multiple sites, including exclusive models. For new model releases, bounties, and more, follow me on: X (Twitter) or Instagram. Also, check out LoRA Lore for information on how to train your own models. More info & links: www.darkinfinity.art

    Ink & Lore is a series of stylistic LoRAs designed to evoke the visual spirit of old-world myth, memory, and legend through hybridized folk art traditions drawn from ancient cultures.

    Scrollbound Lore

    Scrollbound Lore complements Forgotten Tales (the first LoRA in the Ink & Lore series). This LoRA generates illustrations in a storybook-meets-woodblock style, strongly leaning toward Asian myths and legends. It is trained on a mix of traditional asian art styles from Japan, China, and Vietnam, and more modern depictions of various mythological and legendary characters, spirits, and creatures. Subjects are depicted with clean outlines, flat expressive shading, and balanced, muted color palettes reminiscent of the traditional Japanese and East Asian woodblock prints, and backgrounds often feature natural or symbolic elements — moons, mountains, temples, water, or spirits — creating the feel of mythic scenes frozen in time.

    Usage

    To use the most recent version of the LoRA, use the following settings:

    • Trigger word: trained with distrnmyth, but it isn't always necessary.

    • Other tokens that work well: animals, spirits, yokai, and other elements of magic and folklore.

    • Lora Strength: A strength between 0.8 and 1.2 is recommended. 1.0 seems perfect for most generations.

    • The LoRA was trained on Flux.1 Krea, but works on Flux.1 Dev as well.

    For differences in previous versions, see the version notes to the right.

    Showcase Credits - Scrollbound Lore

    Thank you to the following AI artists and creators who participated in the Create my showcase bounty and helped make images to show what this model can do. If you like using my models, consider letting me pay you a buzz to build the showcase post for my next model. For more details, see Dark Infinity's Pre-release Models.

    These are the artists responsible for the showcase images:

    Showcase Credits - Forgotten Tales

    Thank you to the following AI artists and creators who participated in the Create my showcase bounty and helped make images to show what this model can do. If you like using my models, consider letting me pay you a buzz to build the showcase post for my next model. For more details, see Dark Infinity's Pre-release Models.

    These are the artists responsible for the showcase images:

    Description

    Forgotten Tales (the first LoRA in the Ink & Lore series) evokes the visual language of lost Northern myths and ancient storytelling traditions. Drawing from Nordic woodcut prints, Anglo-Saxon manuscript art, and early medieval symbology, this model renders images with a bold, ritualistic aesthetic. Expect stark silhouettes, ornamental detailing, and compositions that feel unearthed from a bygone age — as if painted with ash and memory.

    This LoRA excels at producing layered, textural images with centered figures, mythic posture, and weathered elegance. Great for generating scenes that look like they were etched into oak, woven into banners, or scrawled on the walls of long-forgotten halls.

    Usage

    To use the most recent version of the LoRA, use the following settings:

    • Trigger word: trained with dijldflklr, but it isn't always necessary.

    • Other tokens that work well: Anything works, though it seems to like it if you tell a story in your prompt.

    • Lora Strength: A strength between 0.8 and 1.2 is recommended. 1.0 seems perfect for most generations.

    FAQ

    LORA
    Flux.1 D

    Details

    Downloads
    214
    Platform
    CivitAI
    Platform Status
    Available
    Created
    4/11/2025
    Updated
    4/28/2026
    Deleted
    -
    Trigger Words:
    dijldflklr

    Files

    InL-Forgotten-Tales_v10-000054.safetensors

    Available On (1 platform)

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