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AI Image & Video API Guides
Hands-on model tests, production tutorials, prompt techniques, and current API pricing for generative media teams.
How to Use gpt-image-2.5-sunburst@pro via the hiapi API: curl, Python, and a Working Request
gpt-image-2.5-sunburst@pro is a distinct route from the base model — call it with the literal model id `gpt-image-2.5-sunburst@pro`. Pro mode accepts an optional `image_urls` array, so the same endpoint handles both text-to-image and image-to-image. Every hiapi model shares one task lifecycle: POST /v1/tasks, then poll GET /v1/tasks/:id or use a callback. Covers idempotency keys, callback vs. polling, and the 401 permission_denied auth-error shape for production use.
Using DeepSeek V4.1 Flash for E-commerce Product Images via the hiapi API
DeepSeek V4.1 Flash is a text-only model — it can't generate the product photos, but it writes everything around them. It supports both /v1/chat/completions and /v1/responses natively, so it slots into whichever integration you already have. Use json_object mode on Chat Completions or json_schema on Responses to turn spec sheets into structured listing copy at scale. Pricing is flat with no tier cliff: $0.44/1M input and $1.32/1M output tokens, with a cheap $0.014/1M cached-input rate. Pair this with an image model like GPT Image 2 for the visual side of the same product listing.
Minimax H3 Max Short-Form Video: Text-to-Video Tested via the API
Minimax H3 Max generates 5-15 second videos from a text prompt via hiapi's /v1/tasks API, priced per output second. Text-only generation uses the default landscape canvas; the historical 480P sample is 832×480. A single ffmpeg blur-pad pass converts the landscape output into a clean 9:16 vertical clip with no cropping. 480P runs $0.072/sec and 768P runs $0.115/sec; a 6-second request budgets $0.432 or $0.69 respectively.
gpt-image-2.5-flare for E-Commerce Product Images: A Batch Workflow With the hiapi API
gpt-image-2.5-flare on hiapi generates and edits e-commerce product photos with one model ID — studio shots from a prompt, background swaps and lifestyle staging from an existing photo — and this guide shows the batch pattern for running it across a whole catalog via the async /v1/tasks API.
How to Edit Videos with AI Using flux-3 via the hiapi API
flux-3 (FLUX.3 Video) 'edits' video via continuation (start_video) — extending an existing clip's motion/camera/sound — or via multi-image keyframe storyboards, not timeline trim/cut/mask editing. Covers the real /v1/tasks create+poll request for both input modes, plus callbacks, idempotency, and 401 error handling.
GPT Image 2.5 Sunburst Prompts: 7 Copy-Paste Recipes With Real Outputs
Seven real GPT Image 2.5 Sunburst prompts — product shots, macro texture, text-in-image posters, lifestyle scenes, and precise image edits — each paired with its actual, unedited output. Every image was generated at the medium quality tier ($0.0672/image), the sweet spot for fast, affordable iteration. Two prompts are image-to-image edits, showing how Sunburst can swap a single detail or an entire background while preserving everything else in the shot. All text baked directly into the poster prompt rendered cleanly — no post-production lettering needed. Copy any prompt as-is, then swap in your own product, colors, or scene details to adapt it.
What Is ChatGPT Images 2.5? How It Maps to Flare and Sunburst
Separate the ChatGPT Images 2.5 experience from the Flare and Sunburst API models. Generate and edit images through the same HiAPI async task endpoint. Check model choice, migration fields, and client-specific feature availability.
GPT Image 2.5 Flare vs Sunburst: Choosing a Product Poster
The same blue kettle becomes a kitchen product image and an AER HOME brand poster, showing how use changes the visual choice. The kitchen images are overall close; the useful distinctions are product scale, quiet space, light, and props. The posters differ more clearly: one is a clean blue geometric ad, while the other combines a black-and-blue headline with kitchen details.
GPT Image 2.5 vs Seedream 5.0 Pro: Products & Posters
Flare makes the earbud product more direct and prominent, while Seedream adds a side-on photographic mood. Both posters render the main Chinese copy correctly, but Seedream adds a flower that may change a minimalist brand image. Start with Flare for quick product and event recognition; consider Seedream for paper texture and a softer atmosphere.
GPT Image 2.5 vs FLUX.2 Pro: Which Looks Better?
Sunburst keeps the watch dial easier to read, while FLUX.2 Pro makes the glass reflection more pronounced. Sunburst places the linen-bag label more coherently; FLUX.2 Pro needs a label correction. Choose clear detail for a product page, or use FLUX.2 Pro’s wider composition as a reference for banners and collections.
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Compare image, video, and audio models, then use the same API workflow in production.