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Train AI on Your Photos — Then Generate NSFW Video

Upload your photos once, train a custom NSFW AI model in the cloud, and generate that same subject in uncensored images and video — nocensor.ai is the only hosted platform that carries a user-trained model into video output without content restrictions. No local GPU, no Python environment, no review queue for training data.

nocensor.ai Character Training removes every barrier. Upload your photos in the browser, review auto-generated captions, and submit. Training runs on GPU infrastructure in the cloud. The resulting model generates images and videos of your subject with no content restrictions. Mainstream hosted platforms like CivitAI Buzz or PixAI either block adult content or restrict training to synthetic AI characters — nocensor.ai allows both real photos and uncensored output.

nocensor.ai accepts real person photos as training data with no content restrictions on generated output. Most competing services that permit real photos block NSFW generation. Most NSFW platforms block real photos. nocensor.ai is the only hosted platform that allows both.

How It Works

  1. 1

    Create a free account at nocensor.ai and navigate to My Characters in the dashboard.

  2. 2

    Click "Train New Character," name your model, and upload 10–25 photos from varied angles and lighting.

  3. 3

    Review auto-generated captions or write your own for greater control. Select a training tier and submit.

  4. 4

    Training completes in 30–90 minutes. Your Character shows "Ready" when available.

  5. 5

    Open any workflow and select your Character to generate images or video of your trained subject immediately.

Why nocensor.ai?

  • Character Training → Video

    Train a model from 10–25 photos. Use it across images, video, and pipelines — only platform with NSFW-video output from a trained Character. Chain those clips with your Character's face and body throughout.

  • Pipeline Builder

    Chain 9 stages into one submission with bundle discounts — Generate, Face Swap, Animate, Restyle, Upscale and more.

What You Get

  • Generate images and videos of a specific person with consistent appearance across sessions
  • Explore photorealistic, anime, and illustrated styles with the same trained subject from one model
  • Use in pipeline workflows: train once, then chain with face swap and upscale automatically
  • Create NSFW video of a trained subject using Wan 2.2 — the only platform offering this without censorship

Example Prompts

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

  • photograph of [trigger_word], photorealistic portrait, natural light, high detail
  • [trigger_word] in casual outfit, lifestyle photography, candid moment, bokeh background
  • [trigger_word] modeling swimwear, poolside, warm afternoon light, photorealistic
  • art print of [trigger_word], anime style, WAI-NSFW Illustrious, detailed illustration
  • [trigger_word] editorial fashion photo, professional lighting, sharp focus, CyberRealistic

Frequently Asked Questions

Do other platforms allow training on real person photos for NSFW output?

Most do not. Seduced AI explicitly prohibits real-person training data. CivitAI Buzz has significant NSFW output restrictions. nocensor.ai places no restrictions on training data content or the generated output.

What hardware does training run on?

Training runs on RunPod GPU infrastructure in the cloud. No local GPU required. Fast tier uses approximately 1000 training steps. Quality tier uses 2500 steps for best results.

What photos work best for training?

Variety improves results. Use different angles, lighting conditions, expressions, and settings. Avoid photos where the subject is partially obscured or at extreme distance. 15–20 good photos outperform 25 similar ones.

How does the trained model compare to prompt-only character generation?

Prompts produce outputs based on general training data — they cannot reproduce a specific person. A Character trained on someone's photos generates that person specifically, not an approximation. The difference is significant for projects requiring consistent character identity across many generations.

Learn more in the nocensor.ai blog →

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