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    v4.3 [final]

    I recommend to choose this one or v2. If you don't care about speed and want great anime results use this model + LCM sampler + 20 steps. It's simply better than any model I know in this aspect.

    6+ steps (8 + 4 steps of upscaler is optimal for my use cases, feel free to experiment).

    A few options of samplers:

    • CFG 1.8 | Euler A

    • CFG 2.0 | LCM - better for anime and other abstract things.

    • CFG 1.8 | DPM++ 2M SDE with BETA scheduler (normal doesn't work)

    Use style tags such as "anime style, flat coloring" or artist/title name. It will help model to know what you want from it.

    The fastest generation: use CFG 1.0 and set lora CFG_slider on negative -0.4 value. Lora listed in suggested resources. (CFG 1.0 ignores negative prompt. Don't use it if you need negative)

    The best coherency: use CFG 2.8 and CFG_slider lora on +0.75 weight (for Euler A).

    v3.2B

    Recommended settings:

    • CFG 1.8

    • LCM / [kl optimal / sgm uniform]

    • 5-10 steps

    v3.2A

    Recommended settings:

    • CFG 1.8 (works not bad on cfg 1 as well)

    • Euler A / normal

    • 5-10 steps

    v1.99 (v-prediction)

    Use title or artist name to get a specific style.

    Eauler A - Beta scheduler (or normal)

    8-16 steps

    CFG: 1.0 recommended for 2x speed. Use more if you want to use negative prompt.

    v2

    Sampler: Euler A / Euler A cfg++

    CFG: (depends on sampler)

    Alternative sampler: LCM

    Description

    FAQ

    Comments (9)

    daskmasterJan 28, 2025
    CivitAI
    Shio_N
    Author
    Jan 28, 2025

    Its just a mix of 2 different LCM loras + a strange model mix. Usually all lora accelerators have problems with illustrious because they are trained on SDXL, rarely on Pony. Illustrious is very different from SDXL, so it's difficult to make it work properly (extra/missing body parts and other content artifacts). I have tested different LCM lora and just mixed best looking combination together. It's possible to use other lora of such type, but it's more likely will lead to more strange artifacts.

    dmd2 4steps works poorly even on good clear Illustrious models (mutated/missing/extra body parts is a very often case). It works only in 4 steps, so you can't make quality better as 5 or more steps will just ruin image.

    This model is just a low quality "quick" solution. If I find something better I will post a new version. Sadly, I have no resources for training some sort of Accelerator for Illustrious. Mixing is the only thing I can do.

    Shio_N
    Author
    Jan 29, 2025

    It looks like I have some big progress... I will upload v.2 today, I think.

    daskmasterFeb 1, 2025· 1 reaction
    Shio_N
    Author
    Feb 1, 2025· 1 reaction

    @daskmaster this is a good one. It looks like it's compatible with any Illustrious checkpoint. Not sure why it's not popular, but thanks for the link. CFG 1 will give you 2x speed on non-cfg samplers, and it's 4-6 steps only which means it's like 2-3 steps. The only minus with CFG 1.0 - it will ignore your negative prompt.

    daskmasterFeb 2, 2025

    @Shio_N yep, I hope you find this useful. By the way, can I use samplers other than lcm? If so, what CFG should I put on them?

    Shio_N
    Author
    Feb 2, 2025

    @daskmaster if you are asking about my model: Euler A cfg++ and any cfg in range 0.4-2.5. I'm using 0.7 or 2.3. Low cfg can do more original arts, high cfg is more precise. If you are asking about Hyper DMD - Euler A works good on cfg 1, but it looks like Hyper DMD is ok only with short prompts. If you have more than 10 tags, some of them will be ignored. It's fast but useless for specific cases

    daskmasterJan 28, 2025
    CivitAI

    Guide how to use?

    Shio_N
    Author
    Jan 29, 2025

    Try v.2 It's easy to use.

    Checkpoint
    Illustrious

    Details

    Downloads
    189
    Platform
    CivitAI
    Platform Status
    Available
    Created
    1/27/2025
    Updated
    5/14/2026
    Deleted
    -

    Available On (3 platforms)

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