Online Stable Diffusion Training — No Setup Required
Running Stable Diffusion training locally requires a capable GPU, a working Python environment, and significant configuration time. Kohya_ss is the standard training tool — the setup alone takes hours. Cloud alternatives exist but most limit NSFW output, require a subscription, or restrict models to specific checkpoints unavailable for adult content. Getting uncensored results from a custom-trained model meant either investing in hardware or accepting censored output.
nocensor.ai provides SDXL-based LoRA training in the browser with no local installation required. Upload photos, select a training tier, and submit. Training runs on RunPod GPU infrastructure. The trained model works with the same pipeline used for all image and video generation on the platform — including CyberRealistic for photorealistic output and WAI-NSFW Illustrious for anime. No content restrictions on training data or output.
nocensor.ai runs SDXL-based LoRA training on dedicated cloud GPU infrastructure. Trained models integrate with the platform's image and video generation pipeline — including NSFW video generation from user-trained models, which no other online training platform offers.
How It Works
- 1
Create an account at nocensor.ai. No software installation required — all training runs in the cloud.
- 2
Go to My Phantoms and click "Train New Phantom." Upload 10–25 training photos with caption review.
- 3
Select Fast (1000 steps, ~10 min) for quick testing or Quality (2500 steps, ~35 min) for best output.
- 4
Training completes remotely. Your model is stored on your account and immediately available.
- 5
Generate images and video using your trained model directly in the workflow interface.
What You Get
- Train SDXL LoRA models from photos without local GPU hardware or Python environment
- Apply trained models in both photorealistic and anime generation from one interface
- Use trained models in NSFW video generation — unavailable in any other online training tool
- Skip local training setup entirely: upload, configure, submit, generate
Example Prompts
Copy any prompt below and paste it directly into the generator.
- [trigger_word] portrait, photorealistic, CyberRealistic checkpoint, studio lighting, sharp focus
- [trigger_word] in outdoor setting, golden hour, natural light, SDXL, high detail
- anime [trigger_word], WAI-NSFW Illustrious, detailed illustration, soft shading, character art
- [trigger_word] action pose, dynamic lighting, 3D render aesthetic, detailed textures
- editorial photo of [trigger_word], professional studio, controlled lighting, CyberRealistic
Frequently Asked Questions
What model architecture does nocensor.ai training use?
Phantom Training uses SDXL-based LoRA fine-tuning, compatible with the CyberRealistic and WAI-NSFW Illustrious checkpoints used for image generation. Trained models also work with the Wan 2.2 video pipeline for NSFW video output.
Is Phantom Training the same as running Kohya locally?
Phantom Training uses Kohya on the backend. The difference is that nocensor.ai handles training configuration, captioning, and infrastructure through a browser interface. No local Kohya installation or Python environment is required.
Do other online Stable Diffusion training platforms allow NSFW?
Most impose significant restrictions. CivitAI Buzz, PixAI, and BasedLabs all have content policies limiting NSFW training data or output. nocensor.ai has no content restrictions on training data or generated output.
Can trained models produce video output?
Yes. Phantom Training models are compatible with the nocensor.ai video generation pipeline. Select your trained Phantom in the video workflow for text-to-video or image-to-video generation. No other online SDXL training platform offers video output from user-trained models.