
AI/ML Methodology Diagrams
Turn method sections into clear workflows for RAG, agents, transformers, and training pipelines.
Paste an AI/ML paper method, RAG pipeline, Transformer architecture, or multi-agent workflow. PaperBanana turns it into a clean, editable figure draft you can inspect, download, and refine before submission.
Built for the moments when a paper figure suddenly matters
Paper figure studio

Your generated paper figure draft will appear here. Review the labels and refine the final version before publication.
Examples

Turn method sections into clear workflows for RAG, agents, transformers, and training pipelines.

Generate editable drafts for encoder-decoder blocks, retrieval systems, and multi-stage model designs.

Clean up rough diagrams before submission, rebuttal, poster sessions, or advisor review.

Start from proven prompts instead of a blank PowerPoint or Illustrator canvas.
Why AI/ML authors pay
Researchers do not just need a nicer image. They need a draft that respects the method, keeps arrows and terms checkable, and does not turn scientific meaning into decoration. PaperBanana structures the figure first; final review and editing stay with you.

Paste a method section and get boxes, arrows, layout, and short labels in minutes.

Fix labels, arrows, colors, and layout after generation instead of accepting a frozen AI image.

Start from RAG, Transformer, agent workflow, training pipeline, poster, and paper figure prompts.

Turn rough sketches, screenshots, or old diagrams into cleaner publication-style figure drafts.
Prompt library
Pick a RAG, Transformer, multi-agent, training pipeline, benchmark, or poster template, then replace the content with your paper details.
Transformer, agent, RAG, diffusion, GAN, GNN, U-Net, and MoE diagrams.
Research pipelines, evaluation systems, qualification flows, and feedback loops.
Decision trees, quadrant matrices, method comparisons, and conceptual maps.
Benchmark bars, ROC curves, forest plots, ablations, and error analyses.
Control systems, edge-cloud pipelines, signal chains, and safety layers.
Pathways, experimental panels, CRISPR, ADME, tumor evolution, and cell cycles.
Process cycles, timelines, technical explainers, maps, and orthographic views.
Refine labels, colors, typography, contrast, and journal-cover visual impact.
PaperBanana is built first for AI/ML, CS, and engineering researchers who need methodology diagrams, model architecture figures, training pipelines, or poster visuals before submission.
Researchers often know the method but lose hours drawing boxes, arrows, labels, and layouts from scratch. PaperBanana creates a controllable first draft so you can spend time refining, not starting from a blank canvas.
Treat the output as an AI-assisted research figure draft. Before publication, review labels, arrows, formulas, data meaning, and venue requirements, then make final edits in your preferred design tool.
Generic image tools optimize for visual appeal. PaperBanana focuses on paper-specific figure patterns: method sections, model blocks, pipeline arrows, short labels, and editable cleanup workflows.
Paste it into the studio, generate a first draft, then refine the labels and layout before it goes into your paper, poster, or camera-ready revision.