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    Astrallus - SR2
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    For ASTRA use CFG of 1 !!
    Astrallus (LCM Merge)

    Astrallus is a custom-merged Latent Consistency Model (LCM) checkpoint designed for lightning-fast image generation with beautiful, vibrant results!

    By combining distinct models rather than training from scratch, Astrallus is curated to deliver stunning characters, captivating digital art, and colorful scenes in a fraction of the time. Say goodbye to long render waits and hello to instant artistic gratification!

    ✨ Key Features:

    • Blazing Fast: Optimized for rapid iteration and creative exploration.

    • Vibrant & Colorful: Excels at generating images with rich, appealing color palettes—perfect for bringing your characters and digital illustrations to life.

    • Character & Digital Art Focused: Whether you're crafting dynamic heroes, fantastical creatures, or intricate digital paintings, Astrallus handles it with style.

    • LCM + SGM_Uniform: This merge leverages the power of LCM for speed combined with Karras noise scheduling for improved detail and quality.

    ⚙️ Recommended Settings (ComfyUI / A1111):

    • Sampler: LCM (or Euler A)

    • Steps: 5 - 15

    • CFG Scale: 1.0 - 1.5

      • ⚠️ Important Note on Negative Prompts:

        • At CFG 1.0: Negative prompts are ignored by the sampler. The model relies entirely on your positive prompt.

        • At CFG 1.1 - 1.5: Negative prompts will have a minor effect.

        • Recommendation: Keep your positive prompts descriptive and clean. If you absolutely need a negative prompt to remove an element, try a CFG of 1.2-1.5, but 1.0 is the "sweet spot" for speed and stability.

    Description

    LCM 1CFG 15 steps and below
    Ultra Fast

    FAQ

    Checkpoint
    Illustrious

    Details

    Downloads
    272
    Platform
    CivitAI
    Platform Status
    Available
    Created
    1/28/2026
    Updated
    4/27/2026
    Deleted
    -

    Files

    astrallus_sr2.safetensors

    Mirrors

    CivitAI (1 mirrors)

    Available On (1 platform)

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