CivArchive
    Chromostereopsis - V1
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    Experimental test run — trained and auto-captioned entirely using Civitai Trainer. No local training, no manual captions. Proof-of-concept, not a polished release.

    May not work without careful prompting.
    (try forcing to use Chromostereopsis style with red blue and black colors without any glow or gradients)

    Produces a chromostereopsis style — vivid red subjects on deep blue backgrounds, creating a pulsating depth illusion. Dataset was generated by a personal SDXL LoKR from 2023 (available on request).

    Training Details

    • Base model: Flux.2 Klein 9B

    • Engine: ai-toolkit (Civitai Trainer) — training + auto-captioning done entirely on-platform

    • Network: LoRA rank 64 / alpha 32

    • Epochs: 15 | Repeats: 20

    • Resolution: 1024

    • Optimizer: AdamW 8-bit | LR: 1e-4 | Scheduler: cosine

    • Text encoder: not trained

    The training dataset was generated by a personal SDXL LoKR from 2023 that established the core red-blue palette. Happy to share the dataset and the source LoKR if anyone wants to experiment further.

    Usage: Mention the red/blue color scheme in your prompt. Weight 0.7–1.0. Expect inconsistency.

    Description

    {
      "lr": 0.0001,
      "engine": "ai-toolkit",
      "epochs": 15,
      "ecosystem": "flux2klein",
      "keepTokens": 0,
      "networkDim": 64,
      "numRepeats": 20,
      "resolution": 1024,
      "lrScheduler": "cosine",
      "minSnrGamma": null,
      "noiseOffset": null,
      "modelVariant": "9b",
      "networkAlpha": 32,
      "optimizerType": "adamw8bit",
      "shuffleTokens": false,
      "textEncoderLr": null,
      "flipAugmentation": false,
      "trainTextEncoder": false
    }
    LORA
    Flux.2 Klein 9B-base
    by idle

    Details

    Downloads
    45
    Platform
    CivitAI
    Platform Status
    Available
    Created
    4/7/2026
    Updated
    4/11/2026
    Deleted
    -
    Trigger Words:
    chromostereopsis

    Files

    90THEFWY50FW26EWBXNGTGCTR0.safetensors

    Mirrors

    training_data.zip

    Mirrors

    CivitAI (1 mirrors)