Pricing
Credit based with no subscriptions and no monthly quotas. A $20 credit purchase gives access to all AI blocks, credits do not expire, and basic image editing is free. Only AI block runs consume credits.
Learn moreML Blocks
No-code workflows that chain AI image models with everyday editing steps
Beginner
What is ML Blocks?
ML Blocks is a no-code canvas for chaining AI image generation, editing and analysis blocks into repeatable workflows. Credit-based pricing with no subscriptions, and basic editing is free.
ML Blocks is a no-code workspace for assembling visual AI pipelines on a drag-and-drop canvas. Instead of writing scripts to move an image from a generator into an editor and then into an analysis model, you place blocks on a graph, connect them, and run the whole chain. The homepage frames the product around three families of blocks: generation (including in-painting with models such as Stable Diffusion), editing (crop, resize, recolor and similar functions), and analysis (detection and segmentation models that pull data out of images). The practical appeal is the mix. A typical job might begin with a remove background model and continue straight into crop and resize steps, all in one flow, so the output of one stage feeds the next without manual exports. That puts the tool in reach of designers, ecommerce teams and operations staff who need repeatable image processing but do not want to maintain code. Data and research teams working with detection or segmentation can use the same canvas for analysis tasks rather than generation. Compared with standalone image generators, ML Blocks is less about a single prompt box and more about orchestration. Compared with visual automation platforms built for general business apps, it is narrower but deeper on image handling, since the blocks are image-specific. Teams already comfortable in code may find the block abstraction limiting, but for anyone whose bottleneck is stitching tools together by hand, the graph model is the point. Pricing is credit based. A $20 credit purchase unlocks all AI blocks, credits do not expire, and basic image editing is free, so routine crop and resize work does not draw down the balance. Only AI block runs consume credits. There are no subscriptions and no monthly quotas, which suits occasional or bursty workloads better than a seat-based plan.
How do you use ML Blocks?
1Buy a credit pack
Purchase the $20 credit bundle to unlock all AI blocks. Credits stay on the account without an expiry date, so there is no rush to spend them.2Open the workflow canvas
Start a new workflow from the build screen. The editor is a drag-and-drop graph where each block becomes a node you can position and connect.3Add your first blocks
Drop in a generation block, an editing block or an analysis block depending on the task, then wire the output of one into the input of the next.4Run and inspect the flow
Execute the workflow and review the result at each stage. Free editing steps such as crop and resize can be tuned without spending credits.5Save the workflow for reuse
Keep the graph as a reusable pipeline so repeat jobs, such as background removal followed by resizing, run the same way each time.
Pros and cons
Pros
- Connects AI models and standard editing steps in one continuous graph, so outputs pass between stages without manual exportingAI
- Covers generation, editing and analysis in a single tool, including in-painting and detection or segmentation modelsAI
- Credit model has no subscription and no monthly quota, and unused credits do not expireAI
- Basic image editing (crop, resize, recolor) is free, so low-cost jobs do not consume creditsAI
- Drag-and-drop canvas keeps the workflow visible, which makes handoffs and debugging easier for non-codersAI
Cons
- No native integrations with outside tools or storage are described, so moving assets in and out is largely manualAI
- Credit consumption per AI block is not published on the homepage, making cost hard to forecast before buildingAI
- The block library is anchored to image tasks, and bundled model choices appear limited to what the platform exposesAI
- No free tier for AI blocks is stated, so testing generation or analysis requires buying credits firstAI
- Complex branching and error handling are likely thinner than in a coded pipeline, though the homepage does not detail limitsAI
How much does ML Blocks cost?
Features
Generate or in-paint images with AI models such as Stable Diffusion, apply editing functions including crop, resize and recolor, and extract data from images with detection or segmentation models. All of it is combined on a drag-and-drop canvas that chains AI blocks with standard editing steps, no code required.
Frequently asked questions about ML Blocks
How much does ML Blocks cost?
Credit based with no subscriptions and no monthly quotas. A $20 credit purchase gives access to all AI blocks, credits do not expire, and basic image editing is free. Only AI block runs consume credits.How do you use ML Blocks?
The walkthrough on this page covers 5 steps: 1. Buy a credit pack 2. Open the workflow canvas 3. Add your first blocks 4. Run and inspect the flow 5. Save the workflow for reuse.What platforms does ML Blocks support?
ML Blocks is available on Web App.What are the limitations of ML Blocks?
No native integrations with outside tools or storage are described, so moving assets in and out is largely manual. Credit consumption per AI block is not published on the homepage, making cost hard to forecast before building. The block library is anchored to image tasks, and bundled model choices appear limited to what the platform exposes.
Status
StatusActive
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Added10/21/2026
Platforms
Web App
Pricing
Paid
