Jeremy Mann - V1
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Use Flux1.D combined with other models to create new styles of digital art expression.
This model is a tribute to the artist Jeremy Mann, not an attempt to replicate his artworks.
Flux1.D aims to transform pictorial capabilities rather than replicate existing graphic universes.
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Model trained on civitai with 33 images.
Recommended resources : Fluxmania
Recommended settings : dpmpp_2m or heunpp2 / sgm_uniform / 25 steps / guidance : 3.5
Weighting : around 0.85
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Jeremy Mann is an American contemporary painter, born in 1979 in Cleveland, Ohio. He is widely recognized for his moody urban landscapes, evocative portraits, and atmospheric interiors. After earning a Fine Art degree from Ohio University, he completed his MFA at the Academy of Art University in San Francisco, where he continues to live and work.
Mann’s style is marked by expressive brushwork, cinematic lighting, and a tonal palette that captures the emotional essence of modern life. He often paints on wood panels using techniques like staining, solvent wiping, and brayer application, giving his work a raw, textured quality. While best known for his cityscapes inspired by San Francisco, he also creates still lifes and intimate figurative works.
His paintings have been exhibited across the United States, and he remains a prominent figure in the contemporary realist and tonalism movements.
Showcase Images were created with Fluxmania Or Flux1.D, in PNG and include metadata, prompt & 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.
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