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.
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
View on CivitAI →2. Flux-Uncensored-V2
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
View on CivitAI →3. FLUX-UNCENSORED-merged
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
View on CivitAI →4. Titanforge V1 FP8
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
View on CivitAI →5. Project Gaia Flux1.D (Uncensored)
~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
View on CivitAI →6. aidmaNSFWunlock
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
View 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.
