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    Slider-toolkit for Klein9B - Quality
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    ❤️ Please Consider Supporting My Work

    I am passionate about making open tools and models. If you value this work and want to support independent development, please consider buying me a coffee to keep the momentum going!

    🔥Advanced Model and Workflow available on Patreon ( supporters only ) 🔥

    ✨Slider-toolkit :

    A set of Slider-LORA trained for Klein-9B, which enhances the controllability of text-to-image generation and has extremely fast generation speed. It is suitable for quickly producing images on ordinary PCs. If you are looking for a fast and controllable text-to-image generation method, you must not miss this.

    PS: The online generation effect of Slider-LORA may be unsatisfactory, it is recommended to download it for local use.

    Slider-toolkit for Klein4B version here

    👾Suggestion :

    1. The weight is usually between ±5, as shown in the schematic diagram.

    2. Do not use any prompts that contradict LORA, as this will only confuse the artificial intelligence, and your images will be a mess.

    3. This model can be used in combination with my other Slider-LORA without worrying about the image crashing. ( However, please follow the Suggestion )

    Supporters also get exclusive access to:

    🔓 Exclusive Models not available on Civitai

    🔓 Supporters-only LoRAs early access to new releases and exclusives workflows

    🎁 More benefits

    🫡 May the AI-power be with you, see you soon !🫡

    Description

    Disclaimer: I holds no liability for any images produced, including their legality, ethical implications, or potential misuse. By using this model, you agree that all responsibility for generated content rests solely with you. Use responsibly and within legal boundaries.

    LORA
    Flux.2 Klein 9B
    by NO8D

    Details

    Downloads
    179
    Platform
    CivitAI
    Platform Status
    Available
    Created
    2/27/2026
    Updated
    2/28/2026
    Deleted
    -

    Files

    quality.safetensors

    Mirrors

    CivitAI (1 mirrors)