In recent years, advances in AI have led to an increasing number of creators' images being trained into AI model datasets.
When publishing images on the web, creators need to take steps to protect themselves.
One means of doing so is a learning prevention tool called Mist.
Official Site
(star_ratePlease Star It!)
https://github.com/psyker-team/mist-v2
Mistv2 is an AI-learning tool to prevent image plagiarism. It adds a watermark to an image to make it harder for other AIs to understand the image. This watermark is created by adding noise to the image. This noise is designed to confuse other AIs.
This can provide additional protection against AI-for-Art, such as Lora and SDEdit.
However, the following points should be noted when using Mist.
- Image quality may be degraded.
- It is not effective for all AI studies.
Mist offers a free version that creators can use themselves that requires an GPU with 6GB VRAM.
Not everyone can afford an expensive GPU, however. Therefore, we offer the following services for both general users and corporate users.
For general users, MistV2-processed images can be downloaded by uploading images from a web browser.
For corporate users, a dedicated server is available in API format. This service can be easily integrated into the image uploading services currently provided.
We will announce the availability to general users as soon as it is ready.
- Image processing by MistV2
- Simply upload the images you want to process with MistV2 from your web browser.
Please contact us for more information on rates, as they vary depending on your environment.
- Image processing by MistV2
- Change settings for MistV2 processing intensity, etc.
- Easy integration through API
Our service is not a cooperative relationship with the Mist project team.
If you want to use our service, Please Star It to mistV2 GitHub(https://github.com/psyker-team/mist-v2)
The Mist Project Team assumes no liability for any problems that may arise from the use of our services.
For more information, please contact .