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    IDK.W_Illustrious_XXL - FP32_PRECISION_FIX_V1.5
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    The Unnecessarily Massive Model Merge

    Description

    This is the evolution of the IDN Illustrious series (previously known on CivitAI as IDK). While the base version was distributed in FP16 for convenience, the v1.5 XXL version abandons all compromises. This is a ~13GB Titan, preserved in its purest FP32 Full Weights form. No pruning, no compression, no shortcuts.

    While the world moves toward smaller, quantized models, we went the other way: brute force and absolute mathematical precision. Every bit of latent information from 18 elite models was preserved. By running this model locally, you are accessing the maximum fidelity the SDXL architecture can offer. Zero quantization artifacts. Superior anatomical stability. 32-bit color precision. The definitive local experience.

    Before we start...

    I spent weeks training and merging 18 specialized models. Then I realized the file size was hitting 13GB. My hard drive started crying, and my VRAM asked for a divorce. Did I stop? No. I told them to shut up and keep rendering. Because 'I Don't Know' (IDK) when to quit, and apparently, neither should your PC. If your GPU explodes, at least the last thing it sees will be a masterpiece in 32-bit precision.

    > Disclaimer: The dark humor above is just a joke to break the ice and does NOT reflect my actual feelings about your hardware's safety. Just vibes. Enjoy the Titan!

    Recommended Settings

    Setting

    Recommended

    Base Architecture

    SDXL Illustrious / Pony

    Precision

    FP32 (Full Weights)

    Sampler

    Euler a, DPM++ SDE Karras

    Steps

    25-35

    CFG Scale

    5-7

    Resolution

    1024x1024, 832x1216, 896x1152

    VAE

    SDXL Default / Built-in

    Tips

    • Use high-quality prompts: This model is extremely sensitive to descriptive tags due to its FP32 nature.

    • Local execution is king: Don't even try to run this on a limited cloud service without checking VRAM limits.

    • No LoRA needed for quality: While it works great with LoRAs, the base output of the XXL is already 'over-engineered'.

    • VAE check: If you see washed-out colors, ensure you are using a proper SDXL VAE, though the built-in one should be sufficient.

    The IDK Model Collection

    This 'Unnecessarily Massive' merge contains the essence of all my specialized work. It includes the best of it. If you like the versatility of this merge but need something smaller for specific tasks, check out my other IDK LoRAs and specialized checkpoints on my profile. But at the same time, if you want to reinforce the idea of the model, the IDK LoRAs series is also compatible.

    Prompt for Batch Generation (Showcase Mode)

    Use this prompt to generate varied images and see the model's range. It's designed to test textures, anatomy, and lighting.

    Positive Prompt:

    {a woman|a man|a mysterious figure} with {flowing long hair|complex braided hairstyle|short messy hair}, {wearing detailed leather armor|in an elegant silk outfit|sporting futuristic techwear}, {standing in a rain-slicked neon street|posing in a sun-drenched marble temple|lost in a foggy ancient forest}, cinematic lighting, dramatic shadows, highly detailed skin textures, {shallow depth of field|extreme close up|full body shot}, masterpiece, best quality, 8k resolution, intricate details

    Negative Prompt:

    lowres, bad anatomy, bad hands, text, error, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality, normal quality, jpeg artifacts, signature, watermark, username, blurry

    "The unnecessary is often the most essential."


    Description

    weight Clipping fix

    FAQ

    Checkpoint
    SD 1.5

    Details

    Downloads
    178
    Platform
    CivitAI
    Platform Status
    Available
    Created
    3/12/2026
    Updated
    4/27/2026
    Deleted
    -

    Files

    idkWIllustriousXXL_fp32PRECISIONFIXV15.safetensors

    Available On (1 platform)

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