I stress tested FLUX 3 Image on @higgsfield_ai
a little bit
results broke my brain
I asked it to change ONE detail… and 97.4% of the pixels came back bit-for-bit identical.
Not "looks the same". Identical. I diffed them
Every image in this video is real FLUX 3 output.
check them out below👇 🧵
Meet Higgsfield × FLUX 3 Image.
With Black Forest Labs' new image model, you can:
> edit one detail without touching the rest
> place objects with bounding boxes
> combine up to 10 references
> generate in up to 4K
Available now on Higgsfield.
Oct 2, 2026 · 12:27 AM UTC
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1: edit one detail, keep the rest.
Prompt: "Change only her tabard from navy to tangerine. Keep everything else exactly the same."
→ 0 pixels changed outside the tabard → 97.4% of the image bit-identical → first try, no mask, no inpainting
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placing things with plain words.
One prompt, no boxes: a fern on dryer 1, a radio on dryer 3, a ginger cat on dryer 4.
Fern and radio landed exactly. The cat drifted half onto dryer 5. 91.6% of the original pixels untouched.
Words get you close. FLUX 3's bounding boxes (0–1000 grid) are how you get exact.
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3: 10 reference images in, one image out.
10 separate socks → one Lost & Found poster. All 10 carried over, pattern for pattern, and the hand-written text is clean.
Honest note: first try gave me 9 socks. A simpler prompt fixed it.
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If you want to try it, here's what actually matters:
FLUX 3 Image by Black Forest Labs, live on Higgsfield
Native 4K (16.8 MP), no upscaler
Up to 10 reference images per prompt
Box-level edits: keep, move, add, remove
My settings: 2k, 16:9 = 3 credits per image
4K image costs = 19 credits per image
this cute one is a character variation grid
this model is very good give it a try.
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