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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.
Flux-2-Klein-9b Image-to-Image for E-Commerce Product Photos
flux-2-klein-9b/image-to-image turns one existing product photo into a studio-clean master, then chains color and lifestyle variants from that master — no reshoot needed. Each edit costs $0.03143 per image at hiapi's current pricing, about 4.4x the smaller flux-2-klein-4b/image-to-image tier, in exchange for higher-fidelity detail and color edits. The image-to-image schema is deliberately minimal: one prompt, one reference image (image_urls capped at 1), no resolution or aspect_ratio parameter — output dimensions follow the input photo. Anchoring prompts on what stays the same (shape, cap, proportions) before describing the change is what keeps product identity locked across chained edits. A batch script pattern (submit_edit + wait_and_download over a list of image/prompt tuples) scales the same workflow across a full product catalog.
MiniMax H3 for Short-Form Video: A Hands-On Guide to the hiapi API
MiniMax H3 generates natively at 2K and renders clean vertical 9:16 output — no cropping or upscaling needed for TikTok/Reels/Shorts delivery. Use text-to-video, frame control with first_frame_image and optional last_frame_image, or separate multimodal reference fields. Clips run 4 to 15 seconds at $0.1189/second — a 4-second clip costs roughly $0.48, a 15-second clip roughly $1.78. Specific, physical prompt language (materials, light direction, camera framing) produced a clean, on-model result in our test — vague prompts are the most common cause of drifting or generic-looking output. All requests go through hiapi's single asynchronous task endpoint, the same submit-and-poll shape used across every video model on the platform.
Cinematic Camera Movements in AI Video: A Prompt Guide for Kling, Veo, Grok Imagine, and Seedance
Naming the camera movement explicitly (push-in, pan, orbit, crane) is the biggest lever for cinematic AI video — vague prompts default to static shots. Push-in and orbit were the most reliable movements across Kling 3.0 Turbo, Veo 3.1, Grok Imagine 1.5, and Seedance 2.5. Seedance 2.5's reference-to-video mode can lift a camera path from an existing clip and reapply it to a new subject via @video1. Veo 3.1 handled wide-geography pans and pull-backs best; Kling 3.0 Turbo and Grok Imagine 1.5 were stronger for close-range product moves. Grok Imagine 1.5 is the cheapest model to iterate camera-movement prompts on, at $0.015–$0.0282 per second.
LTX-2.5 API Alternatives: 3 HiAPI Video Models Compared
fal.ai launched LTX-2.5 across 18 pages at once (t2v/i2v/audio-to-video x Fast/Pro), a strong signal of launch-period search demand. LTX-2.5 is not in HiAPI's model catalog -- this article explains what it claims, without linking fal.ai. wan2.7-video is the cheapest per-second option but has no native audio. seedance-2.5 and veo-3.1 both generate native audio; seedance-2.5 goes up to 30s, veo-3.1 goes up to 4K. All three are callable today via HiAPI's single /v1/tasks endpoint.
Flux-2-Klein-4b Image-to-Image for E-Commerce Product Photos
flux-2-klein-4b/image-to-image edits an existing product photo instead of generating one from scratch, keeping shape, logo, and proportions stable. Two real edits are shown end to end: a background swap into a lifestyle scene, and a material swap from matte black to tan leather. The reliability trick is naming what must stay fixed before describing the change — vague style words drift more than literal, scoped instructions. A batch Python script covers running the same pattern across a full product catalog via hiapi's async /v1/tasks endpoint. At 1MP resolution each edit costs $0.00715 (as of 2026-08); higher resolution tiers cost more.
How to Use the qwen-image-3.0 API: curl, Python, and a Working Request
Qwen Image 3.0 is live on hiapi's async /v1/tasks API in four entries: qwen-image-3.0/text-to-image, /image-to-image, and the Pro versions. Set aspect_ratio (default 1:1) and resolution (1K or 2K); standard costs $0.0358 at either size. The old model id qwen-image-3.0 and its size field no longer work: the id returns MODEL_UNAVAILABLE and size is rejected. Includes working curl and Python examples plus callback, idempotency, and error-handling guidance for production use.
How to Use the Qwen Image 3.0 Pro API: curl, Python, and a Working Request
Qwen Image 3.0 Pro is live on hiapi's async /v1/tasks API as qwen-image-3.0-pro/text-to-image and /image-to-image. Set aspect_ratio and resolution (1K $0.0497, 2K $0.0993); image-to-image takes 1–3 references at no extra cost. The old model id qwen-image-3.0-pro and its size field no longer work: the id returns MODEL_UNAVAILABLE and size is rejected. Includes working curl and Python examples plus callback, idempotency, and error-handling guidance.
Seedance 2.5 Image-to-Video Prompts: A First-Last-Frame Recipe With a Real Rendered Example
Seedance 2.5 image-to-video accepts a first frame, or a first+last frame pair, and interpolates the motion between them — the last-frame option is what makes it different from a plain text-to-video model. Pricing is $0.2040 per second at 720p and $0.5160 at 1080p; the cheapest legal clip is 4 seconds at 720p, or $0.8160. Output aspect ratio always follows the first frame image — there is no separate aspect_ratio choice, so get your frame's crop right before you submit the task. Below is one real recipe run end-to-end: two self-generated frame images, the exact prompt and request JSON used, and the actual rendered 4-second clip — not a mockup. The output includes a native synchronized audio track by default; you don't need to request it separately.
Seedance 2.5 Text-to-Video API: curl and Python Guide
seedance-2.5/text-to-video makes 4–30 second clips with native sound from a single prompt. Pricing is $0.204 per second at 720p and $0.516 at 1080p; a 5-second 720p clip is $1.02. Submit with POST /v1/tasks, poll GET /v1/tasks/{taskId}, and save output[0].url before it expires.
How to Use the seedance-2.5/reference-to-video API: curl, Python, and a Working Request
Minimal curl and Python calls that create a real seedance-2.5/reference-to-video task and poll it to completion. Multimodal references: reference_video_urls is required, reference_image_urls and reference_audio_urls are additive layers on top. Production patterns: callback vs polling, duration/resolution/aspect_ratio limits, pricing, and the exact 401 error shape to handle.
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