FLUX.2
Ranked 3 of 22 image generation models by recommenders
Recommended for strong prompt following, composition, fast output and consistent edits. Critics say it is heavy to run, censored, weaker on fine text detail, and under restrictive licensing.
Recommended for strong prompt following, composition, fast output and consistent edits. Critics say it is heavy to run, censored, weaker on fine text detail, and under restrictive licensing.
117 people gave an opinion
- recommend it
- 66
- criticize it
- 51
- approval share
- 56%
Recommended in 10 of 13 months
- November 2025: recommended
- December 2025: recommended
- January 2026: recommended
- February 2026: recommended
- March 2026: not recommended
- April 2026: not recommended
- May 2026: recommended
- June 2026: recommended
- July 2026: recommended
- August 2026: recommended
- September 2026: recommended
- October 2026: recommended
- November 2026: not recommended (month in progress)
Why it doesn’t carry the badge
- 66 people recommend itNeeds 10 or more, met.
- 1.2 recommenders for every criticNeeds 2 to 1 or better, not met.
- Recommended in 10 of 13 monthsNeeds 4 or more, met.
The same three rules apply to every product, and the badge can’t be bought. How the badge works
What people say about it
The reasons people give, with the number of comments that give each one. Open a reason to read what they said.
Why people recommend it
Each mark is one comment
Strong prompt adherence and composition
“No one else currently strikes the proper balance between following style / composition / text rendering quite as well”
Comment from 14 Nov 2025 in “Nano Banana can be prompt engineered for nuanced AI image generation” “prompt adherence and scene/character consistency in edit mode is (way) ahead of Qwen-Edit-2509”
Comment from 7 Dec 2025 in “Z-Image: Powerful and highly efficient image generation model with 6B parameters” “Text-to-image with strong prompt following and a native understanding of composition.”
Comment from 2 Oct 2026 in “FLUX 3 Image” - Comment from 13 Feb 2026 in “Show HN: Spelling Riddle – Think Spellbee with crossword clue and visual hint”
Open-weight variant available
“Great, especially that they still have an open-weight variant of this new model too.”
Comment from 25 Nov 2025 in “FLUX.2: Frontier Visual Intelligence” “eternally greatful these models are marked for open weight releases”
Comment from 1 Oct 2026 in “FLUX 3 Image” “there's been a lot of positive movement in the open-weights space”
Comment from 24 Jun 2026 in “Krea 2 Technical Report” - Comment from 2 Oct 2026 in “FLUX 3 Image”
Fast output on API and local
“it's clearly worse than Flux 3's normal model”
Comment from 17 Oct 2026 in “FLUX 3 Image Klein” “It works, it's fast and the code quality is as high as I've ever seen a C code base.”
Comment from 10 Feb 2026 in “Eight More Months of Agents” “Running locally via something like Comfy gets incredible results.”
Comment from 22 Jun 2026 in “Moebius: 0.2B image inpainting model with 10B-level performance” Consistent, stable results across edits
“prompt adherence and scene/character consistency in edit mode is (way) ahead of Qwen-Edit-2509”
Comment from 7 Dec 2025 in “Z-Image: Powerful and highly efficient image generation model with 6B parameters” “it produces incredibly consistent and stable results that work for my use case”
Comment from 24 Jul 2026 in “Flux 3”
What people warn about
Each mark is one comment
Heavy hardware needs, slow runs
“I expected this C implementation to be notably faster, but my M3 Max (36GB) could barely make it past the first denoising step before OOMing”
Comment from 19 Jan 2026 in “Flux 2 Klein pure C inference” “It initially required significantly more VRAM and was much slower than alternatives released around the same time”
Comment from 24 Jul 2026 in “Flux 3” “If Flux3 is anything like Flux2, it's going to require an absolute monster truck of a machine”
Comment from 10 Aug 2026 in “Meta Muse Glimmer – open weights 30B local coding model” Censored, moderated outputs
“Dislike that it's yet another platform held back by arbitrary moderation.”
Comment from 2 Oct 2026 in “FLUX 3 Image” “Z-Image is roughly as censored as Flux 2, from my very limited testing.”
Comment from 17 Jan 2026 in “FLUX.2 [Klein]: Towards Interactive Visual Intelligence” “whereas BFL (makers of Flux 2) dedicated like a fith of their press release talking about how "safe" (read: censored and lobotomized) their model is”
Comment from 6 Dec 2025 in “Z-Image: Powerful and highly efficient image generation model with 6B parameters” Weak fine text and details
“its editing capabilities have been really solid, but I've been disappointed with its ability to do finer text details”
Comment from 16 Oct 2026 in “FLUX 3 Image Klein” “All generations i have see looked blurry, lacking in fine details and missing the artistic touch”
Comment from 24 Jul 2026 in “Flux 3” Restrictive commercial licensing
“Those cases imply commercial workflows that are prohibited with the open-weights model without purchasing a license.”
Comment from 25 Nov 2025 in “FLUX.2: Frontier Visual Intelligence” “They should have creds for open weigths, and bein transparent of it not being open source though.”
Comment from 25 Nov 2025 in “FLUX.2: Frontier Visual Intelligence” “Weak world knowledge, worse licensing, and it ruins the #1 benefit of a larger LLM backbone”
Comment from 6 Dec 2025 in “Z-Image: Powerful and highly efficient image generation model with 6B parameters”
Other image generation models people recommend
The four most recommended other image generation models, with the same counts for each, so you can compare like for like. The tick on each bar marks the 2 to 1 line the badge needs.
| Product | Recommend | Criticize | Approval | Months | Owned | Badge |
|---|---|---|---|---|---|---|
| Nano Banana | 265 | 159 | 63% | 12 | 6 mo5 owners | — |
| gpt-image-1 | 79 | 79 | 50% | 12 | — | — |
| FLUX.2This page | 66 | 51 | 56% | 10 | — | — |
| gpt-image-2 | 63 | 26 | 71% | 8 | — | Approved |
| Qwen-Image | 47 | 38 | 55% | 10 | — | — |
What people said
40 of the 182 comments that mention it, newest first. Each links to the original comment.
“Flux 2 Klein or Qwen Image 2.1 might give you a less frustrating experience at comparable or better performance.”
“It's really fast on the OpenRouter API, but it's clearly worse than Flux 3's normal model.”
“it's clearly worse than Flux 3's normal model”
“Some of the stylized art I'm getting out of it at higher resolutions are really nice and I prefer them over other models.”
“its editing capabilities have been really solid, but I've been disappointed with its ability to do finer text details”
“The "print on a shirt" example looks so bad that I can't imagine a human looked at this and said”
“Text-to-image with strong prompt following and a native understanding of composition.”
“Love to see an AI lab outside of US/China releasing good models.”
“this is pretty impressive, well done, it seems to be filling decently a gap that everyone that has worked enough generating images with AI has faced”
“Dislike that it's yet another platform held back by arbitrary moderation.”
“The UX looks amazing and very steerable, congrats to the team for focusing on the interface.”
“It’s great to see this improve on the platform with declarative controls built into the API”
“eternally greatful these models are marked for open weight releases”
“it's going to require an absolute monster truck of a machine and still run significantly slower”
“If Flux3 is anything like Flux2, it's going to require an absolute monster truck of a machine”
“it produces incredibly consistent and stable results that work for my use case”
“It initially required significantly more VRAM and was much slower than alternatives released around the same time”
“maybe it's perhaps not totally in the right direction to only focus on visual stuff”
“All generations i have see looked blurry, lacking in fine details and missing the artistic touch”
“there's been a lot of positive movement in the open-weights space”
“Running locally via something like Comfy gets incredible results.”
“Writing an entire local generated asset pipeline using flux and hunyuan3D-2.1 was a really fun experience”
“Qwen-Image-2512 / Z-Image / Flux.2 absolutely crush SDXL if you're actually generating moderately complex scenes.”
“The technology has gotten good enough that the results are genuinely suitable for LinkedIn, email signatures, professional bios.”
“It's probably the best-in-class for sheer prompt adherence right now”
“It works, it's fast and the code quality is as high as I've ever seen a C code base.”
“I expected this C implementation to be notably faster, but my M3 Max (36GB) could barely make it past the first denoising step before OOMing”
“Z-Image is roughly as censored as Flux 2, from my very limited testing.”
“it's worse at all of those things other than perhaps looking like it was shot on a cell phone camera than Qwen Image and Flux 2”
“If Flux Base is easy to train and works as well with multiple LoRAs as SDXL, quite probably, yes”
“prompt adherence and scene/character consistency in edit mode is (way) ahead of Qwen-Edit-2509”
“Weak world knowledge, worse licensing, and it ruins the #1 benefit of a larger LLM backbone”
“Flux 2 is dead in the water even though the knowledge it has contained in the model is way, way higher”
“whereas BFL (makers of Flux 2) dedicated like a fith of their press release talking about how "safe" (read: censored and lobotomized) their model is”
“it's pretty incredible a tiny startup like BFL has become the primary alternative to Google”
“They should have creds for open weigths, and bein transparent of it not being open source though.”
“Those cases imply commercial workflows that are prohibited with the open-weights model without purchasing a license.”
“flux 1 dev one was never really great at artistic style, mostly locking you into a somewhat generic style”
“Great, especially that they still have an open-weight variant of this new model too.”
“No one else currently strikes the proper balance between following style / composition / text rendering quite as well”
Counts come from 1,795,640 Hacker News comments, November 2025 to November 2026. How we count. Report a mistake.