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Best Flux Uncensored Models

CHROMA (~8.9B params, Apache 2.0, ~1.33k Hugging Face likes on lodestones/Chroma) is the full-weight open-license line. shauray/FLUX-UNCENSORED-merged is the single-from_pretrained merge; Flux-Uncensored-V2 (~687 MB LoRA) strips dev refusals on FLUX.1-dev - base NC license still applies.

Ranking methodology

Ranking reflects observable product characteristics (platform support, local vs cloud posture, licensing, and community adoption) rather than paid placement. LocalForge maintains this list without affiliate ranking pressure.

The Models

1. CHROMA

Top Pick

Main open-license answer: uncensored by design, ~1.33k HF likes on lodestones/Chroma per Mar 2026 snapshot.

Architecture: Flux-class (~8.9B params, Schnell-class lineage) · VRAM: 12 GB+ typical FP16 class · Best for: Apache 2.0 uncensored base - HF + Diffusers path

Open on Civitai →

EnhanceAI v2 - smaller LoRA than v1 lines; FLUX.1-dev NC still binds the base weights.

Architecture: LoRA → FLUX.1-dev · VRAM: 12 GB+ dev + ~687 MB LoRA · Best for: HF README workflow; strips dev refusals

Open on Civitai →

shauray merge: plug-and-play vs manual LoRA strength tuning.

Architecture: Merged FluxPipeline bundle · VRAM: 12 GB+ class (CPU offload in README examples) · Best for: Single from_pretrained - no separate LoRA files

Open on Civitai →

Experimental: creator cites ~35% complete - ~204 reviews on CivitAI listing (verify live).

Architecture: Flux.1 D fine-tune · VRAM: ~15.7 GB FP8 variant (summaries) · Best for: Anatomy-first uncensor experiments

Open on Civitai →

~3.9k downloads, ~126 ratings cited in roundups - check file matrix before install.

Architecture: Flux.1 D merge + versioned NF4/UNET builds · VRAM: NF4 v2 targets reduced VRAM vs raw dev · Best for: Low-VRAM uncensored-tuned merge

Open on Civitai →

130.8k downloads, 1,380 reviews - default LoRA when you stay on stock dev.

Architecture: LoRA for FLUX.1-dev · VRAM: Dev VRAM + minimal LoRA overhead · Best for: Mainstream LoRA path - adult unlock, huge community proof

Open on Civitai →

Why This Matters

Labels lie. "Uncensored" checkpoints and LoRAs are not interchangeable - license, wiring, and VRAM differ by tens of gigabytes. Pick wrong and you burn a weekend on merges that do not match your stack.

Uncensored vs NSFW

Uncensored = broad safety filter removal (refusals, alignment blocks) - not a promise about every niche. NSFW = adult imagery in common usage; many "NSFW" packs target that subset only. Same word, different scope - check the card, not the tag.

Quick Comparison

Model Type License / constraint VRAM (typical) Best for Our pick
CHROMA Full model (Schnell-class lineage) Apache 2.0 on HF card 12 GB+ class Open-license Flux-class base, uncensored-by-design
Flux-Uncensored-V2 LoRA for FLUX.1-dev Dev weights = FLUX.1-dev NC 12 GB+ + ~687 MB LoRA HF-native uncensor on stock dev
FLUX-UNCENSORED-merged Merged HF bundle Dev lineage - NC on base 12 GB+ class One repo, no separate LoRA files
Titanforge V1 FP8 CivitAI checkpoint CivitAI terms ~15.7 GB FP8 cited Anatomy-first experiments
Project Gaia CivitAI merge (incl. NF4 builds) FLUX.1 dev NC NF4 path = lower VRAM vs raw FP16 dev Tight VRAM, uncensored-tuned merge
aidmaNSFWunlock CivitAI LoRA Add-on to dev Dev VRAM + small LoRA 130.8k downloads, 1,380 reviews - mainstream LoRA path

Titanforge's creator rates the project ~35% complete - treat it as a lab checkpoint, not a daily driver. For a managed local stack with less file wrangling, LocalForge AI is built for offline workflows on your hardware.

Verdict

CHROMA wins on license + intent if you need Apache 2.0 weights and a documented ~8.9B Flux-class pipeline. Need one HF download without LoRA wiring? FLUX-UNCENSORED-merged. Already on FLUX.1-dev and want the Hugging Face LoRA path? Flux-Uncensored-V2 (~687 MB). CivitAI scale and tutorials point to aidmaNSFWunlock (130.8k downloads, 1,380 reviews) - adult-focused, not a full "uncensored everything" claim.

What to Do Next

FAQ

What is the difference between uncensored and NSFW for Flux models? +
Uncensored usually means broad safety alignment and refusal removal. NSFW in marketing usually targets adult imagery. A model can be labeled NSFW without covering every non-adult restricted topic - read the card.
What is the best open-license Flux uncensored model? +
CHROMA (`lodestones/Chroma`) ships under Apache 2.0 on the Hugging Face card - ~8.9B params in docs, ~1.33k likes on the repo snapshot (Mar 2026). That is the clearest permissive-weights path vs FLUX.1-dev NC bases.
Is Titanforge ready for production? +
No. The creator documents roughly 35% completeness. CivitAI summaries cite on the order of 204 reviews - treat it as experimental anatomy work, not a default checkpoint.
Do I need a LoRA or a merged checkpoint? +
LoRAs (e.g. Flux-Uncensored-V2 ~687 MB, aidmaNSFWunlock) keep FLUX.1-dev and add behavior. Merges like shauray/FLUX-UNCENSORED-merged bake weights into one bundle. CHROMA is a separate full-model family. Match the path to your UI and license needs.
How much VRAM do uncensored Flux options need? +
Full dev-class runs usually sit in the 12 GB+ range for interactive FP16. Project Gaia markets NF4 builds for reduced VRAM; Titanforge FP8 is cited around 15.7 GB in summaries - always verify the exact file set (VAE/CLIP) on the download page.
Why is aidmaNSFWunlock on an uncensored list? +
It is the highest-download Flux dev LoRA in the CivitAI data we track - 130.8k downloads and 1,380 reviews - so readers comparing LoRA scale see the mainstream NSFW path alongside broader uncensor merges.