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    SchnellMesh (FLUX1.S LORA) - v1.0
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    SchnellMesh

    SchnellMesh is an advanced Lora trained on open-source images engineered for generating intricate wireframe structures with precision and speed. Trained on the powerful Schnell model, this model excels in creating detailed, interconnected mesh designs, perfect for architectural visualization, technical drawings, and 3D modeling. SchnellMesh transforms complex forms into sleek, geometric frameworks, delivering a fast, efficient, and visually compelling solution for designers and creators who work with structural aesthetics. It works best with simple prompts.

    Samplers tested: (Feel free to experiment)

    Euler Normal
    Euler Beta
    Settings:
    Strength: 0.8 - 1 

    *Resolutions tested: (Feel free to experiment)

    512 x 512 
    768 x 768 
    1024x1024 
    575 x 832 
    832x1216
    Wireframe model of a

    All showcase images are RAW output of the model. So you could add stuff like detailers and custom nodes. Only the sky is your limit. (for now)

    Disclaimer: Please note that while SchnellMesh aims to provide high-quality and creative image generation, the images produced are the result of complex algorithms and user inputs. I am not responsible for the content of the images generated with this model. Users are encouraged to utilize the model responsibly and adhere to ethical guidelines when creating and sharing content.

    And as always happy prompting! :)

    Comparison images:

    This is a side-by-side comparison between the original Schnell model and the Lora. On the left, you'll see the output from the unaltered Schnell model and on the right is the Lora with strength of 1. Both generation are made using 8 steps Euler and same seed:

    Description

    Initial version

    FAQ

    LORA
    Flux.1 S

    Details

    Downloads
    796
    Platform
    CivitAI
    Platform Status
    Available
    Created
    9/14/2024
    Updated
    4/30/2026
    Deleted
    -
    Trigger Words:
    Wireframe model of a

    Files

    SchnellMesh.safetensors

    Mirrors

    TensorFiles (1 mirrors)