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    IllustriousNXT_XL by klaabu - v1.0
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    IllustriousNXT_XL_v2.0a by klaabu

    Special thanks to Jebbanyale483, Roxin ,larrydallas123126 and Futurabbit

    klaabu_IllustriousNXT_XL_v2.0a is a fine-tuned evolution of the Illustrious anime model, built for creators who demand sharp detail, strong prompt control, and versatile style coverage. This version improves overall fidelity, boosts knowledge of artist styles and art genres, and maintains full text encoder strength — giving you responsive, high-impact results with both tag-based and natural language prompts.

    🎯 Core Features

    Fine-Tuned Base: Improved anatomy, lighting, and output consistency

    Style Awareness: Enhanced recognition of popular artists and art styles

    Prompt Flexibility: Accepts Danbooru tags and natural language equally well

    LoRA Friendly: Fully supports LoRAs for characters, bodies, faces, and aesthetics

    Encoder: Retains full text encoder with updated token awareness (trained up to 2025)

    Resolution: Native support for 512×512 to 1536×1536+

    🛠️ Recommended Settings

    Sampler: Euler A or DPM++ 2M SDE, Schedule type: SGM Uniform

    CFG Scale: 3 – 7

    Steps: 25 – 35

    VAE: Optional

    🧷 Suggested Positive Tags

    (masterpiece, best_quality, ultra_detailed, expressive eyes, clean shading)

    🚫 Suggested Negative Tags

    (worst_quality, jpeg artifacts, watermark, child, blurry, malformed hands)

    Safety Tip:

    Use strong negative prompts to avoid unwanted content and keep generations clean.

    🧪 Best Use Cases


    • High-quality character and scene illustrations

    • Art-style experiments and aesthetic LoRA testing

    • Visual novel assets, covers, and expressive portraits

    Leave feedback, share results, or tag me with your outputs — I'm continuing to refine and improve based on what the community creates.

    IllustriousNXT_XL_v1.0 by klaabu

    klaabu_IllustriousNXT_XL_v1.0 is a high-performance, anime-focused checkpoint built on top of IllustriousXL.
    It’s been fine-tuned for stylistic flexibility, LoRA compatibility, and sharp prompt responsiveness, enabling both tag-based and natural language workflows.

    This release focuses on strong prompt adherence, vibrant colours, controlled shading, and recognisable character fidelity — ideal for both character illustration and concept design across multiple anime styles.


    🎯 Core Features

    • Optimised For: Stylised anime generations, tag-heavy control, expressive facial detail

    • Prompt Style: Accepts both Danbooru tag-style and natural language

    • LoRA Support: Highly compatible with both expressive and concept-specific LoRAs

    • Token Awareness: Trained with knowledge cutoff early 2025

    • Resolution Range: Native support for 512×512 up to 1536×1536 and beyond


    Sampler Euler A

    CFG 3 – 7

    Steps 20 – 35

    VAE not required


    🧷 Suggested Positive Tags

    (masterpiece, best_quality, amazing_quality, etc.)

    🚫 Suggested Negative Tags

    worst_quality, low_quality, blurry, jpeg artifacts, text, logo, child, young

    Safety Control Recommendation:

    • Generative models can occasionally produce unintended or harmful outputs.

    • To minimize this risk, it is strongly recommended to use the above negative prompts which incorporates additional safety mechanisms for responsible content generation.


    🧪 Best Use Cases

    • Single-character compositions

    • Stylised portraits or full-body shots

    • Scene-based illustration with vibrant tone mapping

    • Experimental testing with new aesthetic LoRAs


    Drop feedback, sample generations, and test results in your preferred channel or tag me directly.
    I’m actively refining this model based on community feedback — let’s push it further.

    Description

    FAQ

    Checkpoint
    Illustrious

    Details

    Downloads
    1,583
    Platform
    CivitAI
    Platform Status
    Available
    Created
    5/29/2025
    Updated
    4/28/2026
    Deleted
    -

    Available On (1 platform)

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