
FriendlyData
Infer SQL queries from plain-text questions and table headers.

Leonardo.Ai
ComfyUI
QwenImage
Midjourney
RunComfy
WanGP
Gemini Image (Nano Banana)
Create, build and scale AI image and AI video workflows. Distributed GPU compute on shared community. Join our generative AI art ecosystem for designers.

Which is more popular?
Based on our record, mlsql seems to be more popular. It has been mentioned 2 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | github.com | promptus.ai |
| Pricing | — | |
| Company | — | Startup from the United Kingdom · 20 - 49 employees · 2023 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of mlsql yet.
Promptus enables creatives to generate AI images, videos, characters, 3D assets with ease using the latest AI models. It combines the most popular node-based workflow builder with decentralized GPU compute. Create, manage, and evolve AI digital assets and workflows efficiently. Models available...
What each product offers, as listed by its team.


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An editorial look at what each product does well and who it suits.


Overall verdict
Why this product is good
Recommended for
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AI Art & Video Generator
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing mlsql and Promptus.ai.
Promptus.ai's answer:
Promptus stands out by seamlessly blending multiple cutting-edge AI models with an intuitive, one-time payment platform. It not only generates stunning images and videos from simple text or audio prompts but also evolves AI outputs into fully developed characters.
The integration of features such as decentralized GPU compute, NFT tokenization for digital asset ownership, and a robust workflow marketplace elevates Promptus into a comprehensive creative ecosystem that continuously adapts to your needs.
Promptus.ai's answer:
Promptus is a platform designed to make AI development and content creation accessible, scalable, and easy to use.
It combines an intuitive drag-and-drop workflow builder with a decentralized GPU marketplace, allowing users to create, manage, and deploy AI models and workflows efficiently. Promptus is for a wide range of users, including:
AI Developers: Those building and deploying complex models. Startups and Small Teams: Looking for cost-effective platform to quickly deploy custom AI workflows. Creative Professionals: Artists and designers looking for an easy click and play art studio for image and video creation. Businesses: Businesses needing scalable and secure AI workflows. GPU Owners: Individuals or businesses looking to monetize their unused compute resources.
Promptus.ai's answer:
Promptus enable users to generate customized, AI images or videos with ease using state-of-the-art AI models.
If you are new to Promptus: We are on a mission to power creatives, designers, and enthusiasts who want to create unique visual content without extensive technical knowledge.
You have control over whether your workflows use GPU or CPU power, and you can choose if your AI generations runs online or locally. This makes the process super flexible depending on your needs. Learn more about our GPU compute at https://www.promptus.ai/gpu
Promptus.ai's answer:
Getting started with Promptus is easy. Sign Up: Create an account on the application and download Promptus. Create Image or Video: Use our prompt input box to type or say your desired image, choose the model and click generate. Build Your Workflow: Use the drag-and-drop tools or integrate existing workflows using ComfyUI. Select Compute Resources: Choose online GPUs or run locally on your PC compute for your generations. Deploy Your Workflow: Save your workflow to Promptus Generate so it is easy to use or share with others on the application.
Share your experience with using mlsql and Promptus.ai. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


I am working on a project that requires me to take user input (as English) and return SQL queries. We will eventually be working with multiple datasets, which is why the valuenet over at https://github.com/paulfitz/mlsql ended up being... Source: almost 5 years ago
I found this great resource here: https://github.com/paulfitz/mlsql. Source: almost 5 years ago
Tracking Promptus.ai since Apr 2025.
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