Dresma generates AI lifestyle shots, on-model imagery, videos, infographics, and ad creatives for 50K+ ecommerce brands — Fabletics, Luxottica, Champion, Puma, Nautica, Palm Angels, Off-White, Sperry, Zenni, World Rugby Shop. Every workflow is compute-heavy, storage-heavy, and latency-sensitive. Here's what the same engine looks like on Cloudflare's developer platform.
Dresma powers visual content for 50K+ brands
Each step of the workflow has a clean Cloudflare equivalent. The result is a developer platform that's not just cheaper — it's structurally better-suited to AI content at scale.
Scan top-performing visuals across Amazon, Instagram, Pinterest, competitor sites. Index for similarity search.
Build a data-backed mood board personalized to the brand. Surface high-performing references from the index.
Generate AI lifestyle shots, on-model images, videos, infographics, ad creatives. Multi-provider: Stable Diffusion, OpenAI, Anthropic, custom.
Review against brand guidelines. Adjust if needed. Ship to delivery channels (Amazon, Shopify, marketplaces).
Four structural properties of the platform that map directly to how Dresma operates today.
Dresma runs multiple AI providers behind the scenes — Stable Diffusion for backgrounds, OpenAI/Anthropic for copy and reasoning, custom models for brand-specific outputs. AI Gateway sits in front of all of them: one observability + caching + rate-limit layer. Identical or near-identical prompts (common in batch product photography) are cached, cutting inference cost by 30-50% with zero code changes.
Every Dresma workflow produces images and videos. Today these live on S3 + CloudFront with egress fees on every brand customer download, every Amazon A+ ingest, every Shopify CDN pull-through. R2 is S3-compatible — boto3 and aws-sdk code paths work unchanged. Zero egress. Multiply by 50K brands and tens of millions of assets/year, and the math is meaningful (see calculator below).
Dresma's "data-backed mood board" feature is a vector similarity problem at heart: find the top-performing visuals similar to this brand's style, across Amazon / Instagram / competitors. Vectorize stores embeddings at the edge, queries return in <50ms globally. Workers AI generates embeddings in the same control plane — no separate inference vendor needed.
Every Dresma output needs to be resized, format-converted, and channel-optimized for Amazon, Shopify, Walmart, Kaufland, Mercado Livre. Cloudflare Images handles per-request transformation on the fly (no pre-rendering, no S3 variants); Stream handles AI-generated video delivery globally. Replaces a custom image-processing pipeline with one managed service.
Pre-populated with Dresma-scale defaults (50K brands × generated images per brand). Adjust to match your real numbers.
Monthly figures, applied as steady-state.
AI-generated images, videos, lifestyle shots, on-model imagery, ad creatives across 50K brands.
Brand customers pulling assets, Amazon/Shopify/Walmart ingest, CDN distribution, mobile app downloads.
PUT / COPY / POST — every AI-generated image, video frame, infographic upload.
GET — every asset retrieval, CDN cache miss, A+ content fetch, app preview load.
Calculation based on AWS S3 + CloudFront public list pricing vs. Cloudflare R2 public list pricing as of 2025. Excludes additional value from AI Gateway inference caching, edge-served Workers, and Vectorize replacing a self-hosted vector DB.
Every layer of Dresma's current stack maps to a Cloudflare primitive. Multi-cloud sprawl → one developer platform.
Replaces Webflow + cdn.webflow.com. Git-driven deploys, branch previews, edge-served globally with no origin server.
Replaces app.dresma.com (Google App Engine) + api.dresma.com (AWS EC2 us-east-2). 5ms cold starts. Edge-served in 330+ cities.
Replaces S3 + 2× CloudFront distributions. Zero egress, S3-compatible API, on-the-fly image transforms, video delivery.
One layer over every model provider (image gen, copy gen, infographic gen). Caches identical prompts for 30-50% inference cost cut.
Embedding store for top-performing visuals indexed across Amazon, Instagram, competitors. <50ms similarity queries at the edge.
D1 for brand profiles, workflow history, QC state. Hyperdrive accelerates any AWS RDS / Postgres queries from edge Workers.
Track → Curate → Create → QC pipeline. Queues handle fan-out: each created asset gets resized, distributed to Amazon, Shopify, Walmart, Kaufland, Mercado Livre.
Protect the AI generation API from prompt-abuse scraping (free-tier exploitation, brand-IP theft) and protect the customer-facing dashboard.
Dresma's mobile app (formerly DoMyShoot) runs on Firebase. Workers can replace mobile API + auth; D1 for offline-sync state.
Three measurable outcomes — cost, capability, and consolidation.
R2 vs. S3 + CloudFront, calculated on Dresma-scale storage + egress + ops. Compounds as brand-customer reads scale.
AI Gateway caches identical or near-identical prompts. In batch product photography workflows, prompts repeat constantly — caching is structural savings.
Webflow + Google App Engine + AWS EC2 + CloudFront + Firebase → one developer platform. One bill, one dashboard, one identity layer.
Let's map Dresma's actual workflow + cost model and build a concrete migration path. Workshop format, 60-90 min, with your engineering team.
About this page
Prepared as a Cloudflare Developer Platform conversation primer for Dresma. Built and maintained by Matt Holscher, Digital Native Sales Team, Cloudflare. mattholscher@cloudflare.com · +1 (415) 699-7053