Show HN: Seedream4 – Multi-reference, in/out-painting, 4K export

Hi HN — I built Seedream4, a browser-based AI image generator & editor. You can generate from text or upload an image and do precise edits (background removal, in/out-painting, style transfer, upscaling) and export PNG/JPG/WebP. There are example prompts you can run right away, and uploads (PNG/JPG/WEBP up to 10MB) support higher-res results including 4K. Why I got tired of manual masking/retouch steps for marketing and product visuals. I wanted something that combines text-to-image with instruction-based edits so you can keep lighting/perspective intact and iterate fast. What’s different • Instruction-based edits with local brushes/masks, without wrecking the rest of the scene. • Multi-reference consistency to keep brand colors/character identity coherent across shots. • Export-ready workflow (PNG/JPG/WebP, transparent backgrounds; 1:1, 16:9, 9:16, etc.). • No-signup demo: click an example or upload and try. How it works (high level) The web app sends your prompt/images to third-party model APIs (e.g. modern image-creation models) via my backend. I provide the UI, masking tools, queues, and credit metering. Per the privacy policy: prompts/images are processed by model providers and not retained longer than needed to deliver results. Pricing There’s a free tier to try core generation/editing. Paid plans add more credits, 4K export, priority processing; commercial usage rights are included in Pro. Known limitations / looking for feedback • Text & tiny details still fail on some compositions. • Complex multi-object edits sometimes need an extra mask pass. • Throughput can vary under load. I’d love feedback on UX, failure cases you hit, performance expectations, API/CLI needs, and whether the pricing/credit model feels fair. Happy to answer anything about the design choices, queues, and the editor’s internals. Thanks for checking it out.