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 PickMain 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.
