Street Photography Comparison

Flux Ultra 1.1 vs GPT-Image 1.5

Urban candid and city life documentation — see how these models compare with real AI-generated outputs.

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Street photography lives or dies on authenticity: believable light, natural human gestures, lived-in streetscapes, and the subtle imperfections that make a moment feel candid. In Influencer Studio, Flux Ultra 1.1 and GPT-Image 1.5 both target high-quality image generation, but they approach “city life documentation” with different strengths.

Below is a practical, street-focused comparison—how each model handles urban realism, crowd scenes, signage and architecture, mood (day/night/rain), and how much control you get per prompt at different credit tiers.

Street Photography — Side-by-Side Results

Prompt

"A 20s woman with shoulder-length wavy dark hair, minimal makeup, wearing an oversized gray hoodie, black bike shorts, and worn white sneakers, holds her phone slightly out in front for a quick selfie while glancing near the camera mid-stride. She’s walking past a corner bodega on a gritty city block with peeling posters, wet pavement, and a graffiti-tagged roll-up gate, a coffee cup in her other hand like a casual “morning run” IG story. Natural overcast daylight, street-photography 35mm film feel with subtle grain and imperfect framing, candid and unpolished like real UGC."

Feature Comparison

FeatureFlux Ultra 1.1GPT-Image 1.5
ProviderBlack Forest LabsOpenAI
Subcategoriestext-to-imagetext-to-image
1080p / 2k ModeYesYes
4k ModeNoNo
NSFW RatingStrictStrict
Aspect Ratio1:1, 16:9, 9:16, 3:4, 4:3, 21:91:1, 16:9, 9:16, 3:4, 4:3
Starting Price16 credits8 credits

Flux Ultra 1.1 Strengths

  • Exceptional micro-detail for urban textures (asphalt grain, brickwork, fabric weave, reflections) that sells a documentary look
  • Photorealistic lighting and material rendering for believable golden hour, overcast streets, and night neon
  • Premium-quality output that holds up well for close crops—useful for candid “moment” framing and editorial-style compositions
  • Strong sense of depth and lens-like realism (natural bokeh and spatial separation) for classic street portrait shots
  • Consistent high-end finish at a predictable cost (16 credits per image)

GPT-Image 1.5 Strengths

  • Stronger prompt adherence for directing street-photo specifics (location vibe, era, lens feel, subject action, mood cues)
  • Versatile scene building—handles complex city-life narratives (markets, transit hubs, crosswalk rush, cafés) with clear intent
  • Scales quality to budget: low (8 credits) for quick concepting, medium (16) for balanced output, high (32) for maximum fidelity
  • Reliable composition control for storytelling prompts (foreground subject + layered background activity)
  • Detailed scenes that remain readable when you specify multiple elements (signage style, weather, time of day, crowd density)

Verdict

Choose Flux Ultra 1.1 when you want premium, photoreal street frames with standout texture, lighting nuance, and an editorial finish—especially for close-up candid portraits, rain-slick reflections, or gritty architectural detail. At 16 credits per image, it’s a straightforward pick when “best-looking final” is the priority.

Choose GPT-Image 1.5 when you need tighter control over what appears in the frame and want flexibility on spend. Its prompt adherence is well-suited to directed street concepts (specific actions, environments, and mood), and the low/medium/high tiers make it easy to iterate quickly, then upscale for final selects.

Frequently Asked Questions

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