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    Tigran Matulian - V1
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    Tigran Matulian is an Armenian artist born in 1960 in Yerevan, Armenia. He studied at the Art Studio in Yerevan and later at the Art College in Riga, Latvia, specializing in graphic arts. His work is characterized by intricate patterns and a deep exploration of mysterious themes, transforming abstract ideas into visually compelling compositions.

    Matulian has held numerous personal exhibitions in cities such as Yerevan, Beirut, New York, Copenhagen, and Istanbul. His art has been showcased in prestigious galleries, including the Modern Art Museum of Armenia and the National Gallery of Armenia. Since 2014, he has held the title of Honorable Artist of the Republic of Armenia.

    His creations often reflect a fusion of symbolism and abstraction, inviting viewers into a world of imaginative storytelling through lines and textures.

    Showcase images were created with ComfyUI and are in PNG, include metadata & workflow.
    All licensing conditions for the Flux Dev model apply. You can find the details here.

    IMPORTANT NOTE: This model is a tribute to the artist and not an attempt to copy or reproduce his works. Flux1.D is unable to reproduce a graphic universe on which it was trained, the goal is solely to expand Flux's pictorial capabilities.

    The idea is to use this model, combined with others, to create new styles of digital art expression. "Nothing is lost, nothing is created, everything is transformed" is an apocryphal quote from Antoine Lavoisier. We are somewhat in this vision.

    Description

    Model trained on civitai with 39 images.

    Recommended resources : Fluxmania

    Recommended settings : dpmpp_2m or heunpp2 / sgm_uniform / 25 steps / guidance : 3.0 to 4.0
    Weighting : around 0.85

    FAQ

    LORA
    Flux.1 D

    Details

    Downloads
    300
    Platform
    CivitAI
    Platform Status
    Available
    Created
    5/11/2025
    Updated
    9/1/2026
    Deleted
    -
    Trigger Words:
    Art by Tigran Matulian

    Files

    Tigran_Matulian.safetensors

    Mirrors

    Available On (1 platform)

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