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Star Trek TNG SDXL

#Star Trek#Star Trek: The Next Generation
Herramientas de IA
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Star Trek TNG SDXL - AI Model cover image
Subido en
6 dic 2023, 23:30
Utiliza
684
Reseñas
Sin reseñas
Palabras clave

star trek tng, tv still

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  • Permitir la generación y el intercambio de imágenes
  • Permita que los usuarios descarguen su modelo
  • Usos comerciales

Descripción

Credit to Jigen on CivitAI https://civitai.com/models/222071/star-trek-tng-sdxl

Author comments:

I was inspired upon using Dall-E3, seeing how well it recreated the look of the classic show Star Trek The Next Generation, but being disappointed that it could only recreate Picard.

This lora includes changes to the text encoder, and the training data was captioned by hand by me, so you'll be able to invoke different characters by name, different sections, different clothing, etc. I hope to demonstrate this in images, but here are some of the key terms:

Main keywords: Star Trek TNG, TV still

Characters: Picard Riker Data Geordi Worf Crusher (Beverly, I left out Wil) Troi Romulan Klingon Borg (there are some more, leaving them a secret for fun (to whom?))

Clothing: wearing a (red/yellow/blue) Starfleet uniform (other colors can be invoked if you try to varying degrees of success) wearing Klingon armor wearing a Romulan uniform (and some more)

Objects: Geordi wears a 'visor', Worf has a 'metal sash', Borgs may have a 'holographic eyepiece'. I tried to train the lora on many different things.

Environments: 'On the Enterprise' - generically included for on the ship 'In a Klingon building' 'In crew quarters', 'In engineering', 'on the bridge', 'sitting in the captain's chair' etc can be invoked to a degree I included terms like 'atmospheric', lighting colors, 'dark', viewing angles, etc.

I called all the interfaces on the ship 'control panels', the screen on the ship is the 'ship's viewscreen', you can try to invoke different ship exteriors (to little success)

Training: Bog-standard lora with constant rate 1*10^-5, >1500 images (hand picked), ~8000 steps

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