NSFW AI Model Training on your private datasets
We train and fine-tune adult-content AI models — LoRA, DreamBooth, SDXL, Flux and custom LLMs — on isolated A100/H100 GPUs. Your data never leaves your tenancy, and you own every weight we produce.
8
In-house model families
150M+
Images our models generated
$6K+
Fine-tune engagements
100%
IP & weight ownership
TL;DR
NSFW Coders provides private NSFW AI model training: character LoRAs, DreamBooth personalisation, full SDXL/Flux fine-tunes, ControlNet workflows and emotion-tuned LLMs — trained on your exclusive datasets in isolated GPU environments.
Engagements start at $6,000 for a production character LoRA and $20,000+ for full base-model fine-tunes. You receive the weights, training configs and documentation — full ownership, no vendor lock-in.
What custom model training actually gives you
Off-the-shelf models produce off-the-shelf faces. Training your own — a character LoRA for a companion persona, a DreamBooth model of a real creator, or a full fine-tune with your aesthetic — is what makes your platform impossible to clone. It is the difference between renting intelligence and owning it.
We run the entire pipeline: dataset curation and captioning, hyperparameter selection, training on isolated A100/H100 clusters, evaluation grids, and deployment onto your inference stack with version control. You see sample grids at every checkpoint and approve before we ship.
Character LoRAs with face-lock consistency
DreamBooth models of real creators (with consent docs)
Full SDXL / Flux fine-tunes for house styles
ControlNet pose and composition workflows
Emotion-tuned dialogue LLMs for chat products
Deployment onto your API with versioning
60-day delivery
prototype to production
What your users actually see
A live-grade interface built on the same components we ship to production — designed for retention, monetization, and scale.
Who trains with us
Companion platforms
Signature characters with locked identity that no competitor can replicate.
Creator economy apps
Per-creator models that look exactly like the real person, with consent on file.
Marketplaces
House-style models that give every generation a premium, consistent look.
Game studios
Character art models matched to your art bible, in-engine ready.
Agencies
Client-owned models you can hand over as deliverables.
Enterprises
Private, on-prem training for compliance-sensitive programmes.
Why train with NSFW Coders
Adult-native expertise
We know which NSFW datasets, caption styles and samplers actually converge — because we do this daily.
Isolated training
Your data trains in private GPU tenancies with DPAs. Never mixed into shared models.
You own the weights
Every checkpoint, config and caption file is delivered and licensed 100% to you.
Evaluation grids
You approve quality on structured sample grids at every milestone, not marketing screenshots.
Deployment included
Trained models ship onto production inference with autoscaling, not just a download link.
Fast iteration
LoRA cycles in days, full fine-tunes in two to three weeks, with retrain credits included.
Training services we provide
Character LoRA
Identity-locked character models with outfit and pose flexibility. From 20–50 source images.
DreamBooth personalisation
Photoreal creator twins with consent verification and likeness agreements.
SDXL / Flux fine-tune
House-style base models with your aesthetic across the full output distribution.
ControlNet workflows
Pose, depth and canny-guided generation for repeatable compositions.
LLM fine-tuning
Dialogue models tuned on your persona transcripts for tone and emotional range.
Dataset engineering
Captioning, deduplication, tagging and augmentation that make small datasets converge.
Our training pipeline — step by step
Dataset review & NDA
We audit your images/transcripts, sign data-processing agreements and define the target style.
Data engineering
Cleaning, captioning (BLIP + human polish), tagging and train/validation splits.
Training run
Isolated A100/H100 training with checkpoint grids shared at fixed intervals.
Evaluation & revision
You approve sample grids; we iterate learning rates and captions until it's right.
Deployment
Weights deployed to your inference API with autoscaling and version pinning.
Handover
You receive weights, configs, training reports and a retraining playbook.
How the platform is wired
NSFW Coders engineers the full stack — from model serving and GPU orchestration to the application layer, payments, moderation and analytics. Every layer is built to be audited, scaled, and swapped without re-platforming.
Model layer
Stable Diffusion, Flux, Pony, custom LoRA & 3D — served via vLLM / ComfyUI / Triton.
API gateway
Key-auth, rate limits, credit metering, signed webhooks — multi-tenant.
Application layer
Next.js / React, realtime chat, in-app feed, creator studio.
Data & safety
Postgres + Redis + vector store, CSAM scanning, age gates, 2257 logs.
500+
Models trained since 2022
A100/H100
Isolated training clusters
5–10 days
Typical LoRA turnaround
0
Client datasets ever reused
Training & deployment stack we work with
Image models
Language models
Infrastructure
What teams train
Signature companions
Faces and bodies unique to your platform.
Example: 6-character roster for a US app.
Creator twins
Photoreal AI versions of real creators.
Example: 50-creator fan platform rollout.
House art styles
Base-model fine-tunes for marketplaces.
Example: Anime house style for JP market.
Chat personas
LLMs tuned on persona transcripts.
Example: Empathy-tuned girlfriend model.
Product photography styles
Consistent glamour pipelines.
Example: Landing-page model with face-lock.
Fetish/niche models
Specialised aesthetics underserved by bases.
Example: Furry-art LoRA set.
Private training vs public models
| Feature | NSFW Coders | Prompt engineering* | Buy stock pack |
|---|---|---|---|
| Unique character identity | Guaranteed | Approximate | Sold to others |
| Consistency across outputs | Face-locked | Drifts | Limited poses |
| Your dataset improvement | Learns from it | Ignores it | |
| IP ownership | Full weights | Public model | License limits |
| Competitor cloning difficulty | Very hard | Trivial | Trivial |
* Prompt engineering = trying to reach uniqueness by prompting public checkpoints.
Built to make money on day one
Subscription tiers, token packs, pay-per-message, pay-per-view media, creator splits, affiliate payouts and tipping — wired into adult-friendly payment processors so revenue is never blocked by a sudden account freeze.
Subscription + credits
Hybrid billing that lifts ARPU without choking free-funnel conversion.
Creator economy
Multi-creator payouts, revenue share, content locks and PPV media.
Affiliate & referrals
Tracking links, first-touch attribution, automated payouts.
High-risk payments
Segpay, CCBill, Paxum, Verotel — with fallback routing.
Training pricing, by model type
Character LoRA
$6,000 from
Production-grade identity model for one character, including deployment.
- 20–50 image dataset audit
- 2 revision cycles
- Face-lock identity system
- Inference deployment
- Weights + configs handover
Full fine-tune / LLM
$20,000+ from
Base-model or dialogue-model training on larger exclusive datasets.
- Full pipeline management
- Dedicated A100/H100 tenancy
- Unlimited eval grids in scope
- RLHF-lite / DPO for LLMs
- Versioning + retrain credits
“Our lead character finally looks like the same woman in every scene. Their LoRA process is the reason our retention held.”
Sasha K.
Product Lead, companion app
“They trained creator twins for 50 influencers — every one approved the likeness. Consent docs were handled properly.”
R. Malik
COO, fan platform
“The eval-grid process is transparent. We saw exactly what changed at every checkpoint.”
J. Okafor
CTO, marketplace
Questions, answered
Quick answers to the questions founders ask us most about this service.
Pair training with
Every service connects — most clients combine two or three of these into one engagement.
Own your models. Own your moat.
Send us a sample dataset — we'll return a test-grid plan and fixed quote within 48 hours.
Tell us about your project
Free 30-min consultation. NDA on request before you share a single detail. Average reply under 4 hours.
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