City Worlds 01 - Z Image Turbo

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This is my third Z Image Turbo lora ! ^^

I went through four failed trainings to bring you this one ;)

I didn't think this one would succeed... and so I didn't put the effects...

So... it's a test version... JUST FOR FUN AND TESTING.

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Important details on settings below !

Also about the dataset !

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DESCRIPTION :

Well so what is this ?

This is a background Lora with cyberpunk and city vibes. This the Z Image Turbo version.

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City Worlds 01 :

About the dataset !

This dataset is quite old. It is a mix of 50 % realistic photos and 50 % generated stuff and anime.

Most of the captions are in tag format but as you'll see it doesn't bother Z Image.

So with it you can generate in Z Image :

  • real life city scenes

  • anime style scenes (or pixelated...)

  • Mix of the two above, having real life people in animation environment or animation people in real environment

  • Cyberpunk scenes

  • Futuristic scenes with spaceships

  • And those spaceships and buildings have a special design (Z image does a good job at reproducing the designs from the dataset)

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Problems :

  • Sometimes generated images get too dark

  • Sometimes design spaceships get stuck in design buildings (dataset problem with some low res pics)

  • Some precision issues (those low res pics in the dataset...)

  • There are also Airships but those are ugly (no specific design in the dataset)

  • There are too many descriptions words (see below).... I was doing that in all my first loras.

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HOW TO USE :

2 types of settings :

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1 : Turbo

Strength : 1 tested

Steps : 9 - 20 (most of the time I used 20)

Checkpoints : Any

Adetailer : not used

Other : Instead of using the Lumina style, I used the Qwen one.

CFG : 1 or 2

Sampler : EULER

Sheduler : SIMPLE or BETA or NORMAL

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2 : Not so Turbo... at all

Use this one if you like waiting more ;)

Strength : 1 tested

Steps : 40 - 50

Checkpoints : Any

Adetailer : not used

Other : Instead of using the Lumina style, I used the Qwen one.

CFG : 1 or 2 (2 is of course even longer...)

Sampler : DPM++ 3M SDE

Sheduler : KARRAS

About using DPM++ 3M SDE + KARRAS here :

Since Karras is unusable at a low number of steps and will produce distorted and ugly pics... After tests I found that raising the steps to 30-50 will make nice generations... and sometimes VERY nice generations.

But at the cost a slower generations...

But due to not enough time, I used Euler in most of my generations for this lora.

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I made tests using multiple combinations between Base Fp8 version, Base Full BF16 model, and multiple text encoder versions. I used Forge NEO (easy install through Stability Matrix (choose Forge Classic package, then change version to choose NEO)), so settings might differ a little for ComfyUI.

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Trigger word (optional) :

  • citybkg

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Sorry NO EFFECTS this time ;)

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I'm puting here the description words that you can use and that are in the dataset :

Other trigger words and description words - words an () are optional but will work :

  • elevated highway

  • elevatted street(s)

  • river, lake, sea

  • (elevated) shore

  • tunnel(s)

  • high buildings

  • low buildings

  • design buildings

  • cyberpunk

  • airship(s) (in the sky) (closeup)

  • (huge) (small) planet(s) (in the sky)

  • day

  • night

  • evening

  • sun shades

  • ambiance

  • clouds

  • (very) detailed

  • illuminated

  • city lights

  • signs

  • kanji

  • japan

  • mega stuctures

  • neons

  • billboards (on buildings) (on tree(s)) (above buildings) (on highway)

  • traffic, car(s), buses

  • car rear, car front

  • car light trails

  • bus station

  • people, crowd

  • electric poles

  • bridges

  • (street) shops, shop under highway

  • shop signs

  • stores

  • space

  • futuristic

  • (floating) city in the clouds

  • wall(s)

  • street marking, highway markings

  • sunny

  • houses

  • vegetation

  • (giant) tree(s)

  • motion blur, speed

  • reflections

  • rain, wet

  • reflections

  • mist

  • smoke

  • metal road barriers

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Some more in this ZIT version :)

Same descriptions words as above but :

  • each dataset pic has its own number : "phot0", "phot1", "phot20"... so that if you knew how each dataset pic looked, you could just mix the ones you want... but of course you don't :P

  • "airships" now become "spaceships" and "design spaceships"

  • haze

  • epic scale

  • massive towering (design) buildings

  • tiny spaceships

  • tiny buildings

  • spaceship focus

  • car focus

  • cyberpunk racecar focus

  • many road levels

  • many levels

  • cyberpunk colors

  • impressive

  • alive

  • vertical red light beam on building

  • red war paint

  • some lighted windows

  • construction site behind wall

  • huge tree

  • tree growing inside and over a building

  • moon in the sky

  • from low angle

  • mist in the background

  • haze in the (far) background

  • dense moving fog on sideways

  • light effects

  • partial view of a huge planet in the far background

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Have fun ^^

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