![]() figuring out best false-positive rate by changing prediction probablity. They have a 'BOT' tag next to their username.NSFW.js is a JavaScript library to help you quickly identify unseemly images. Perspective was created by Jigsaw and Google’s Counter Abuse Technology team in a collaborative research project called Conversation-AI. We developed stats server using node/express. We finalized on perspective API for text moderation and nsfw.js for media moderation. More than 100 million people use GitHub to discover, fork, and contribute to over 330 million projects. We tried perspective API, google cloud ML apis, Azure content moderation APIs and NSFW.js. We used the discord.js api for interacting with discord. Based on that inappropriate image will deleted automatically. If user upload indecorous image then image moderation library classsify image in drawing, hentai, neutral, porn, sexy categories. If User send some inappropriate message then that message will deleted after 5 seconds atomatically.Ĭurrently this bot detect spam, insult, profanity, flirtation, threat, sexually inappropriate message. More than 100 million people use GitHub to discover, fork, and contribute to over 420 million projects. Thats why we created makeitsafe.space discord bot. NSFW Bot is an open-source discord bot that has nsfw commands with the nekobot.xyz api. Sometimes some people send inappropriate messages which might hurt the sentiment of others. With the incresing number of people coming to discord for education/tech/social communities, it's hard to keep the server safe for everybody. And places lie these should be safe for everyone. More and more people are using discord form everyday tasks, classroom-activity to office meetings. Thanks to Stable Cascade’s modular approach, the expected VRAM requirements for inference can be kept to approximately 20gb but can be further lowered by using the smaller variants (as mentioned before, this may also decrease the final output quality).ĭuring our evaluations, we found Stable Cascade performs best in both prompt alignment and aesthetic quality in almost all model comparisons.Moderates discord messages and images. For Stage B, both achieve great results, however, the 1.5 billion excels at reconstructing fine details. However, the 1B parameter version can be used for those who want to focus on the lowest hardware requirements. Note: Run this file once when youve just created a discord bot and run it again if you make changes to SlashCommandBuilder or you create a new command for the bot. It is recommended to use the 3.6B model for Stage C as this model has the highest quality outputs. With this better discord plugin you can see NSFW channels if you are to dumb to tell discord you are over 18. Stages C & B will be released with two different models: 1B & 3.6B parameters for Stage C and 700M & 1.5B parameters for Stage B. ![]() ![]() For most uses, it will provide minimal additional benefit & we suggest simply training Stage C and using Stages A and B in their original state. Stages A and B can optionally be finetuned for additional control, but this would be comparable to finetuning the VAE in a Stable Diffusion model. This comes with a 16x cost reduction compared to training a similar-sized Stable Diffusion model (as shown in the original paper). The Latent Generator phase, Stage C, transforms the user inputs into compact 24x24 latents that are passed along to the Latent Decoder phase (Stages A & B), which is used to compress images, similar to what the job of the VAE is in Stable Diffusion, but achieving much higher compression.īy decoupling the text-conditional generation (Stage C) from the decoding to the high-resolution pixel space (Stage A & B), we can allow additional training or finetunes, including ControlNets and LoRAs to be completed singularly on Stage C.
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