Diffui
AI-powered UI design generation tool that creates multiple brand-compliant design options in parallel from a text prompt, then exports them for agent-based code generation.
At a Glance
Engagement
Available On
Alternatives
Listed Jul 2026
About Diffui
Diffui is an AI-driven UI design generation platform built by Diffui Inc. that turns text prompts into polished, brand-compliant interface designs in seconds. It uses a diffusion-based approach rather than traditional LLM-based generation, which the company claims allows it to produce eight design directions in parallel in roughly 80 seconds—compared to the 3–5 minutes competitors take to produce a single output.
What It Is
Diffui is a web-based design tool that sits at the intersection of generative AI and product design. Users write a prompt describing a screen or feature, optionally upload existing screenshots to teach the tool their brand, and receive multiple complete UI design images simultaneously on an interactive canvas. The tool is aimed at designers and product teams who want to explore many directions quickly without leaving a single workflow.
How the Diffusion Approach Works
Unlike LLM-based design tools that generate one output at a time, Diffui uses a diffusion model to produce multiple design options in parallel. The homepage positions this as a core differentiator: eight directions at once, in a fraction of the time single-output tools require. Users can iterate on the canvas, branch into new screens, and ask for edits—all without breaking the creative flow.
Brand Learning and Consistency
A standout feature is Diffui's brand-learning capability. Users upload screenshots of an existing product or website, and the tool extracts the visual language—buttons, tables, inputs, toggles, switches, forms, charts, and data displays—to generate new screens that look native to that brand. The homepage demonstrates this with examples showing generated designs that match the visual identity of well-known products.
From Design to Production Code
Diffui is designed to hand off directly to AI coding agents. Once a design is finalized on the canvas, users can copy a prompt formatted for their agent of choice, which then builds the design into their codebase. The workflow shown on the homepage depicts the agent thinking, building the web page, defining CSS, creating placeholder images, and designing icons—ending with a live localhost preview.
Pricing Model and Architecture
Diffui uses a usage-based, at-cost pricing model with no subscriptions, seats, or tiers. Users top up a wallet and pay per asset generated. The pricing page states the company passes through raw model cost and rounds up to the nearest cent as the only markup. Unused credits remain in the user's wallet. The fee structure covers design generation, image asset generation (standard and high quality), pattern generation with optional PBR maps, SVG generation, and background removal.
Current Status
Diffui is actively live as of 2026, with sign-in via Google, GitHub, and Microsoft. The site links to a changelog, a booking page for demos, a Discord community, and a contact email. No credit card is required to start.
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Pricing
Pay As You Go
Top up your wallet and pay per design generated. No subscriptions, no seats, no commitments. Unused credits stay in your wallet.
- 13¢ per UI design image
- 1¢ per standard image asset
- 13¢ per high quality image asset (gpt-image-2)
- 3¢ base per pattern generation (1024×1024 texture with optional PBR maps, +1¢/map)
- 2¢ per SVG generation or raster-to-vector conversion
- 1¢ per background removal
- No subscriptions or seats
- Unused credits stay in wallet
Capabilities
Key Features
- Prompt-to-UI design generation
- Parallel multi-option generation (8 designs at once)
- Brand learning from uploaded screenshots
- On-canvas iteration and branching
- Agent-ready prompt export for code generation
- Image asset generation (standard and high quality)
- Pattern generation with optional PBR maps
- SVG generation and raster-to-vector conversion
- Background removal
- Usage-based at-cost pricing with wallet top-up
