Best Flux NSFW fine-tunes on Civitai - what's real, what's marketing
"Fine-tune" on Civitai is a marketing word. Creators slap it on full-weight trained checkpoints, LoRA merges, and everything in between. The realist approach: ignore the label, read the training notes, check the parent base, and verify the license. Then decide if the file is worth 22 GB of your disk.
This page covers the Flux-family NSFW models that are actually trained (not just merged LoRAs) - Fluxed Up, Persephone, and UltraReal Fine-Tune. If the model page can't tell you what it was trained on, it doesn't belong on this list.
The Models
1. Fluxed Up
Top PickMost actively developed Flux NSFW fine-tune. Weekly updates, documented changes, multiple quantized variants. Start here for pure NSFW work.
Architecture: Flux.1 · VRAM: 12 GB+ · Best for: Dedicated NSFW (strongest bias)
Open on Civitai →One checkpoint for both client and personal work. Less NSFW-aggressive than Fluxed Up but more versatile.
Architecture: Flux.1 · VRAM: 12 GB+ · Best for: Mixed SFW + NSFW
Open on Civitai →Best face quality of the three. Honest about hand issues. Slower (50 steps, CFG 3) but unmatched for portraits.
Architecture: Flux.1 · VRAM: 12 GB+ · Best for: Photoreal faces and skin
Open on Civitai →The Quick Answer
Key Takeaway - May 2026
Three Flux NSFW fine-tunes on Civitai have documented training and consistent updates: Fluxed Up (model 847101) for dedicated NSFW with strong bias, Persephone (model 1775002) for mixed SFW/NSFW use, and UltraReal Fine-Tune (model 978314) for photoreal face quality. All need 12 GB+ VRAM for fp16. All carry Flux.1 non-commercial upstream terms. Everything else calling itself a "Flux NSFW fine-tune" is either a merged LoRA checkpoint or undocumented.
What "fine-tune" actually means (and what it doesn't)
- Real fine-tune: Someone took a Flux base, trained it on a curated dataset for thousands of steps, and produced new weights. The model page should describe the training approach.
- Merged LoRA checkpoint: Someone baked a LoRA into a base model and uploaded the result. Simpler to use (no adapter loading), but not actually fine-tuned. Produces different behavior than applying the LoRA yourself.
- LoRA: A small adapter file. Not a fine-tune. Not this page's topic. See our Flux NSFW LoRAs page instead.
If a Civitai page says "fine-tune" but lists zero training details and has no changelog, it's probably a merge. That's not bad - but know what you're downloading.
The three real fine-tunes
1. Fluxed Up
| Architecture | VRAM | Best For |
|---|---|---|
| Flux.1 | 12 GB+ (fp16) / 8 GB (GGUF) | Dedicated NSFW with strong bias |
Latest: version 10.2 (BF16, 22.17 GB, updated May 2026). Multiple quantized variants available. Active creator who ships weekly updates with documented changes.
The realist take: This is the Flux NSFW checkpoint most people should start with if their work is primarily adult content. The creator actively rebalances datasets between versions and documents what changed. That's rare on Civitai and it matters.
The catch: Fast version churn means your workflows break when you update. Pin a version if you're mid-project. Non-commercial license.
Civitai: civitai.com/models/847101
2. Persephone
| Architecture | VRAM | Best For |
|---|---|---|
| Flux.1 | 12 GB+ (fp16) / 8 GB (GGUF) | One model for SFW + NSFW |
Version 2.0 (fp16, 22.17 GB, Jan 2026). 234 reviews, 5-star average. Checkpoint merge based on Flux.1 D.
The realist take: If you do client SFW work and personal NSFW work, having one checkpoint for both saves you from maintaining two separate pipelines. Persephone handles this split well.
The catch: Less aggressively NSFW than Fluxed Up. You'll need unlock LoRAs for explicit content that Fluxed Up handles natively. Slower update cadence means fewer improvements per quarter.
Civitai: civitai.com/models/1775002
3. UltraReal Fine-Tune
| Architecture | VRAM | Best For |
|---|---|---|
| Flux.1 | 12 GB+ | Photoreal skin and faces |
Version 4 (Feb 2025). 2,976 reviews. Trained specifically for realistic skin texture and improved demographic diversity.
The realist take: If faces and skin quality are your primary concern, UltraReal produces the best results of the three. The creator is honest about remaining limitations (hands are still a known issue) and documents what each version improves.
The catch: Requires CFG 3 and 50 steps for stability - noticeably slower than Fluxed Up or Persephone. The "abliterated" experimental sibling (model 1288623) exists but treat it as unstable beta. Non-commercial license.
Civitai: civitai.com/models/978314
VRAM reality
All three are 22+ GB files in full precision:
- 12 GB: Minimum for comfortable single-image fp16 Flux generation.
- 16 GB: Room for ControlNet, dual encoders, and refiner passes.
- 8 GB: Quantized GGUF only (Fluxed Up and Persephone offer these). Detail trade-off is real.
If you don't have 12 GB, stay on SDXL. Flux on 8 GB quantized is technically possible but you're compromising the main thing Flux is good at (detail quality).
How to evaluate new "fine-tunes" that appear
New Flux models appear weekly. Most aren't worth your disk space. Checklist:
- Training notes present? If the page doesn't describe what was trained and on what, skip it.
- Version changelog? Creators who iterate openly produce more reliable files.
- 50+ reviews? Below that, you're beta-testing.
- Clear license? Flux upstream is non-commercial. Some creators add more restrictions.
- Dependencies documented? Which VAE, which text encoders, which sampler. If not listed, the creator isn't serious.
Fine-tune vs checkpoint vs merged (naming mess)
Civitai doesn't enforce terminology. Here's what you'll actually encounter:
- A page saying "Fine-Tune" that's actually a merged LoRA: common, not malicious.
- A page saying "Checkpoint" that's actually a fine-tune: also common.
- A page saying "Merge" that honestly labels its parents: rare and valuable.
Don't get hung up on the category. Read the description, check the parents, verify the license.
Who should use what
- Pick Fluxed Up if your work is primarily NSFW and you want the strongest default bias with active weekly updates.
- Pick Persephone if you need one model for both client SFW and personal NSFW without maintaining two pipelines.
- Pick UltraReal if photoreal face quality matters more than generation speed (50 steps at CFG 3).
- Stay on SDXL if you have under 12 GB VRAM. Flux quantized is a compromise, not an upgrade.
Bottom line
Most "Flux NSFW fine-tunes" on Civitai aren't fine-tunes. The three that are - Fluxed Up, Persephone, UltraReal - each make clear trade-offs in bias, speed, and update frequency. Pick based on your actual use case, verify the license on your specific version download, and pin the build before you start a project. The label means nothing. The training notes mean everything.