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    Something - v1.0
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    Stardate 2026.07.01; Captain's Log: I'm finding some fidelity issues with background fuzzing and some foreground burning when using HRF at 1.5x (from 1024 x 1536) as this model seems to start tapping out somewhere around 2 Megapixels. After some testing, the sweet spot for HRF on a 2 x 3 image is 1.375x (2.0625 Mpxl = 1408 x 2112). The priests of the Temple of Syrinx have assumed control.

    The High-Res Boost LoRa in Suggested Resources can also help maintain image sharpness when running HRF, but I recommend only using it during HRF runs as it may impact text-2-image results.

    I went back and reviewed my settings for the model and after a lot of subjective comparison, I'm split between two recommendations:

    1. dpm++_3m_sde_gpu + sgm_uniform @ 3.0 CFG & 2.718282 Flow Shift

    2. er_sde + sgm_uniform @ 6.0 CFG & 2.718282 Flow Shift

    On average, I got the best results scheduling with sgm_uniform with simple being a good fallback scheduler. Using dpm++_3m_sde without the gpu option produces a significantly different result so if sde_gpu is not available to you as a sampler, fall back to er_sde. The standard flow shift value is 3.0 and, maybe it's just seems kismet, but I enjoyed the results I got with Euler's number. I'm also a nerd who loves irrational numbers.

    I got bored last night and decided to see if I could merge an Anima model for shits and giggles. I just vibed it out using some models that I really like, and it kind of hit my sweet spot for clarity, prompt adherence, lora compatibility, and overall versatility.

    Thanks to the creators that I mooched this merge from:

    I generate most everything at 1024 x 1536 using 3-5 CFG at 24 steps. I don't personally use turbo because it takes away from the model's versatility, but it works just fine all the same. All the showcase images are as-generated without inpainting or upscaling. Though I did iterate a bunch to get the some of the results I wanted.

    For sampler and scheduler, I recommend using whatever looks good to you. I prefer using deis_2m_ode and bong_tangent, but er_sde or euler with whatever should work fine as well.

    As far as positive and negative prompt quality tokens, I again recommend using whatever looks good to you. I'm happy with the results without them and have learned that less is more with Anima. So I just use basic modifiers like 'realistic', 'flat shading', 'toon style', etc to shape the output.

    I consistently hi-res fix my stuff at 1.5x 1.375x upscaling using RealESRGAN_x2plus and lanczos downscaling even though it doesn't always need it. I just enjoy spending my time on things.

    Anyway, that's all there is to it. If I feel cute, I might update it down the road. Enjoy!

    Description

    Original release.

    Checkpoint
    Anima
    by KorgX3
    Download (Beta) View on CivitAI
    base model

    Details

    Downloads
    88
    Platform
    CivitAI
    Platform Status
    Available
    Created
    6/29/2026
    Updated
    7/11/2026
    Deleted
    -

    Files

    something_v10_txt.safetensors

    Size:
    1.11 GB
    SHA256:
    cd2a512003e2f9f3cd3c32a9c3573f820bb28c940f73c57b1ddaa983d9223eba

    Mirrors

    HuggingFace (78 mirrors)
    CivitAI (88 mirrors)
    ModelScope CN (2 mirrors)

    something_v10.safetensors

    Size:
    3.90 GB
    SHA256:
    c8dd151c55afae45e1785c7f0997b70772838450bc666607649aad94dde3c3d6

    Mirrors

    CivitAI (1 mirrors)

    qwen_image_vae.safetensors

    Size:
    242.05 MB
    SHA256:
    a70580f0213e67967ee9c95f05bb400e8fb08307e017a924bf3441223e023d1f

    Mirrors

    HuggingFace (167 mirrors)
    CivitAI (95 mirrors)
    TensorFiles (1 mirrors)
    ModelScope (1 mirrors)
    ModelScope CN (5 mirrors)

    Available On (2 platforms)

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

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