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NSFW LoRA Training — Train Custom AI Models

Most hosted LoRA training platforms either block adult content entirely or restrict training data to AI-generated characters. CivitAI Buzz limits NSFW training significantly. Dedicated tools like Kohya require local GPU hardware and hours of setup. nocensor.ai provides hosted LoRA training specifically designed for uncensored output — no content restrictions on training photos, no review queue, no local hardware required.

Upload 10 to 25 photos of your subject. The platform handles auto-captioning, training configuration, and model storage automatically. Your trained model — called a Phantom — is available in minutes for image generation, video generation, and multi-stage pipeline workflows. No other uncensored platform outputs NSFW video from a user-trained model.

nocensor.ai is the only platform that trains a custom LoRA from real photos and outputs NSFW video using that model. Most platforms are image-only. Most training tools block adult content or require local hardware. Phantom Training does neither.

How It Works

  1. 1

    Go to My Phantoms in your dashboard and click "Train New Phantom." Name your model.

  2. 2

    Upload 10–25 photos from varied angles and lighting. The platform auto-generates captions — edit them for more control over the trained output.

  3. 3

    Select a training tier: Fast (~10 min, 350 credits), Standard (~20 min, 500 credits), or Quality (~35 min, 750 credits). Submit.

  4. 4

    When training completes, your Phantom shows "Ready" status. Open any workflow and select it to start generating.

  5. 5

    Chain your trained Phantom with Face Swap and Upscale in the Pipeline Builder for automated multi-step workflows.

What You Get

  • Create a reusable model of any person for consistent image output across sessions
  • Feed a trained Phantom into NSFW video generation — the only platform where this works end-to-end
  • Chain Phantom-based generation with face swap and upscale in a single pipeline submission
  • Generate variations of a trained character across styles — photoreal, anime, 3D — from one model

Example Prompts

Copy any prompt below and paste it directly into the generator.

  • photograph of [trigger_word], photorealistic, studio lighting, high detail, sharp focus
  • [trigger_word] in casual clothing, natural daylight, lifestyle photo, authentic expression
  • [trigger_word] wearing formal attire, evening event, bokeh background, CyberRealistic style
  • anime illustration of [trigger_word], WAI-NSFW Illustrious, detailed character design
  • [trigger_word] outdoor setting, golden hour light, photorealistic, detailed skin texture

Frequently Asked Questions

What makes nocensor.ai LoRA training different from CivitAI or BasedLabs?

Most hosted training platforms restrict NSFW content or allow only AI-generated characters as training data. nocensor.ai allows training on real photos with no content restrictions on training data or generated output. The trained model also works for video generation — no other platform offers this.

How many photos are needed for training?

Minimum 10 photos, maximum 25. Varied angles, lighting, and expressions improve output quality. The platform auto-captions all photos before training — you can review and edit captions to control character representation.

How long does training take?

Fast tier: approximately 10 minutes. Standard tier: approximately 20 minutes. Quality tier: approximately 35 minutes. All training runs on cloud GPU infrastructure — no local hardware required.

Can I use my trained model in video generation?

Yes. Select your Phantom in the video workflow. For video, the model influences character appearance throughout the clip using the Wan 2.2 pipeline. This capability is unique to nocensor.ai — no other uncensored platform supports user-trained models in video output.

What is a trigger word?

A trigger word is a short token that activates your trained model in prompts. The platform sets a default trigger word during training — include it in any prompt to apply your Phantom.

Ready to start?

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