AI Undress Generator
AI undress generation uses semantic segmentation to identify clothing regions in an image, then applies inpainting to replace those regions with generated content consistent with the surrounding anatomy. Nocensor.ai uses SegFormer — a transformer-based segmentation model — combined with SDXL inpainting and DifferentialDiffusion for precise mask boundaries. The pipeline runs on private GPU infrastructure with no content review applied to outputs.
The workflow supports both undress (clothing removal with inpainting) and redress (replacing clothing with a new outfit described by prompt). Upload a reference image, select the workflow, and the platform automatically generates the segmentation mask, runs inpainting, and applies skin tone correction post-processing. All processing happens on private GPU workers — no outputs are stored in a public gallery.
Nocensor.ai undress generation uses SegFormer semantic segmentation combined with SDXL inpainting and DifferentialDiffusion for clean mask boundaries. A skin tone correction post-processing step matches the inpainted region to the surrounding anatomy for natural-looking results.
How It Works
- 1
Open the image workflow and enable the Undress stage in the Pipeline Builder. The undress workflow requires a real-payment account unlock.
- 2
Upload your reference image. The platform automatically segments clothing regions using SegFormer.
- 3
The segmentation mask is reviewed internally, then inpainting runs using SDXL to fill the masked regions.
- 4
Post-processing applies skin tone correction — matching the inpainted area to surrounding skin LAB color values for consistency.
- 5
The completed output appears in your private gallery. No outputs are stored in a public feed.
What You Get
- Apply clothing removal via SegFormer segmentation and SDXL inpainting on uploaded reference images
- Use the redress workflow to replace existing clothing with a new outfit via text prompt
- Chain undress with other pipeline stages (face swap, upscale) in a single submission
- All outputs are private — no public gallery, no content shared with other users
Example Prompts
Copy any prompt below and paste it directly into the generator.
- undress workflow: upload reference photo, automatic clothing mask, SDXL inpainting, skin correction
- redress workflow: upload reference, describe new outfit in prompt, replace existing clothing
- pipeline: generate image first, then run undress stage automatically as second pipeline step
- undress + face swap: chain undress and face swap in one pipeline submission with bundle pricing
Frequently Asked Questions
How does the clothing segmentation work?
The platform uses SegFormer B2, a transformer-based semantic segmentation model trained on clothing categories. It identifies garment regions automatically from the uploaded image, then generates an inpainting mask used by SDXL to fill the masked area with consistent generated content.
Does the undress workflow require a paid account?
Yes. Undress and redress workflows require a prior real payment to unlock. The 50 free signup credits cover image generation only. A minimum credit purchase ($2) unlocks the undress pipeline.
Are uploaded images or outputs stored?
Uploaded reference images are used only for the current generation job and are not retained. Generated outputs are stored privately in your account gallery and are never shared in a public feed or visible to other users.
What is skin tone correction?
After inpainting completes, a post-processing step samples the LAB color profile of surrounding skin pixels and applies a correction to match the inpainted region. This reduces visible color differences between the inpainted area and the rest of the image for more natural-looking results.