Aicado.ai is a platform that provides open-source machine learning AI models for everyone to use. You can use these models directly from the platform. Also, you can integrate them into your own apps with our well-documented Bubble plugin.
Here’s a sneak peek at our highlighted models:
Change A Face In a Video: Seamlessly swap faces in any video.
We keep adding new AI models to the aicado.ai platform. To make it easy for you to use them in your Bubble app, we also regularly update our plugin. Below is a list of other models available for now:
Use Aicado AI in your Bubble apps. Our plugins, templates, and documentation designed for Bubble developers will help you get started quickly.
Bubble Plugin: Jumpstart AI features in your app with our free, well-documented plugin. Visit our plugin.
Templates: Eager to launch a SaaS? Install our templates, Enter your credentials keys, and you’re set to launch in no time. Visit our templates.
Comprehensive Documentation: Our Notion-powered docs offer you a smooth setup experience, ensuring you get up and running without a hitch. See our documentation.
Get started with 500 FREE credits!
We know how important it is for you to experience the full potential of our offerings, which is why we’re pleased to offer you 500 free credits to start your journey.
Credits are used to run predictions of the models in Aicado AI.
Dive into the world of no-code AI today and unlock your app’s potential at aicado.ai.
1- In this version, we have added Meta’s newly announced Codellama2 70B instruct LLM model. You can integrate this model directly into your applications. It is noted to deliver better results than GPT-4, especially in coding tasks. Aicado now enables the use of 11 different LLM models with the Codellama 2 70B instruct hf, allowing you to compare and choose the one that best suits your needs.
2- Our Speech To Text feature has been improved. Whether it’s a file you upload or a YouTube link, you can now get the translation of your video or audio files in .srt or .vtt format, enabling you to quickly add subtitles in many languages to your videos.
3- The ALT Text Generator has been improved. The criteria for creating ALT text have been revised to help you achieve more effective results.
We look forward to all your feedback and questions.
1 - Text to Speech
With support for over 40 languages, you can now convert your texts into speech. You can test it here.
We created a template for quick integration. However, right now the template is pending approval, and I’ll share it here once it’s approved.
2 - Stable Diffusion with LoRA’s and Custom Model Checkpoints
One of the most exciting features. You can now generate images of the quality you desire every time. You can run Stable Diffusion with custom models and, if you wish, add LoRA. All you need is to enter your HuggingFace ID or Civitai URL. For testing please click here.
3 - New LLM Added
We’ve added the Pygmalion-13b-4bit-128g LLM. Please note that this model is not suitable for minors as it can produce uncensored content, including X-rated material.
Moreover, we’ve made experimenting with LLMs easier, which you can test here.
Additionally, we’ve optimized our models, resulting in significant savings on credit usage. I’ll share a detailed post about this tomorrow.
We released a new version of aicado.ai plugin. That introduces three innovative features designed to enhance the functionality and user experience for its users. These additions are aimed at improving content management, digital marketing, and e-commerce solutions.
Image Resizer: This tool provides a dynamic solution for adjusting images to fit predefined or custom dimensions, ensuring that visuals are optimized for various social media platforms and web requirements. Users can choose from a range of preset sizes tailored for different platforms.
Dressroom: This tool is a game-changer for e-commerce websites, offering a virtual try-on experience that initially supports the upper body, with plans to extend to full-body integration soon. Users can superimpose selected clothing items onto a mannequin image, facilitating a more interactive and engaging shopping experience.
Meta Title and Meta Description Generator (with Crawling): Leveraging advanced crawling capabilities, this tool analyzes a website’s content to generate optimal meta titles and descriptions, enhancing SEO and web visibility. The crawler is proficient in navigating through JavaScript-heavy sites like Bubble apps, ensuring that the generated metadata accurately reflects the site’s content and theme.
We are very sorry to roll back these 3 calls. There are huge changes in the Aicado platform. However, we thought that releasing these 3 calls would not impact the platform, but due to the feedback we received, we had to roll back to the previous version. Thank you for your understanding.
P.S. : Calls are available in our plugin, but you will not be able to access the endpoints…
This tool uses advanced technology to identify and fix skin flaws like acne, blemishes, and other imperfections, giving you a more polished and natural-looking portrait.
Turn your photos into custom stickers with this AI-powered tool. Just upload a picture, and it’ll automatically identify key features to create a unique sticker that looks like you. Great for adding a personal touch to your messages and social media posts.
Bring your photos to life by turning them into talking videos. Just upload a picture and an audio file, and this AI tool will animate the image to sync with the voice, creating a surprisingly realistic talking video
Also, we had previously published these two models and then had to withdraw them. They are now added as stable. You can read it here. The “image resizer” in the same post has been temporarily removed due to instability.
1- Dressroom is released.
2- Meta Title and Description Generator is released.
I plan to integrate Aicado into my project and am studying the documentation. I haven’t made any API calls yet and don’t know what the response will be like, but I don’t see in the documentation that the response contains the number of credits spent on generation. Do you plan to implement this?
We return the usage cost with the “expense” parameter. This parameter is assigned to the call type based on the response speed of the model. Some AI models can take a long time to run, so we can’t always provide “output” in POST calls.
POST Calls
In POST calls, if the model returns “output”, you can see the “expense” parameter. This is because processing is finished, and we can instantly calculate how much has been spent and return it with the output of the endpoint call.
Another option is webhooks. We send a webhook with each change of the prediction steps. When calculated in Expense, it is also sent via webhook.
Documentation Update
Please note that our documentation platform is currently being updated to a more suitable one. We are working to correct our shortcomings and incorporate your feedback. We will provide better documentation soon.
Further Questions
If you have any further questions, please feel free to ask. We are always here to help.
Hi @eren !
Thank you very much for the detailed response. Indeed, I was inattentive. Everything I need is already specified in the documentation. I was looking in the wrong place.
