Targets image noise
Built for noisy, grainy photos: add one image and get a restored image back.
Clean up a noisy picture
NAFNet-denoise
Use NAFNet to fix issues like blurriness and noise in your images. This model specializes in image restoration and can help enhance the overall quality of your photography.
Made by NAFNet100 creditsper run Pro
Opens the image studio with NAFNet-denoise ready to use. You can look around as a guest. Running it takes the Pro plan or higher.
What NAFNet-denoise makes, what it needs and what you get
What it makes
Clean up a noisy picture
Removes grain and noise from a picture.
What you need
- The picture to work on
What you get
A cleaner copy with less noise
About NAFNet-denoise
NAFNet-denoise is a photo enhancement model for noisy images. Noise is the grainy speckle that can spoil a photo. Add one image and the model returns a restored version. It is the Denoise version of NAFNet, which specializes in image restoration.
You provide one image and nothing else. NAFNet-denoise has no options to adjust. After the run, you receive an image back.
Choose NAFNet-denoise for a photo that shows noise. A single image goes in per run, and the price is 100 credits. NAFNet-deblur is the Deblur version from the same maker, with the same input and the same price.
Other models for this job
Same job: clean up a noisy picture. Compare before you choose.
What it does well
One image per run
The model accepts a single input image and returns an image.
How to use NAFNet-denoise
How It Works
How It Works
01
Add your image
Upload the grainy image you want to clean up.
02
Start the run
There is nothing else to fill in. Run the model for 100 credits.
03
Get the output
Receive the restored version of your image.
Tip Noise and blur are different problems. NAFNet-deblur is the Deblur version from the same maker.
Good for
Grainy snapshots
Clean up a photo that looks speckled or grainy.
Improving photo quality
Improve the overall quality of a photograph that is spoiled by noise.
Questions
Quick answers to help you get the most out of NAFNet-denoise in FunAI Studio.
1. What do I need to provide?
2. What do I get back?
3. How much does it cost?