Last updated 08-30-2026
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Prodia
Prodia is an image and video generation API for developers who need to ship media features without running their own GPU stack. You call REST endpoints or use the npm SDK to run models like FLUX.1 schnell, FLUX.2 klein, Wan 2.2, Qwen Image Edit Plus, and Recraft V4. The homepage cites 190ms outputs for its fastest text-to-image tier and ranks the service number one on Artificial Analysis for speed.
Most inference APIs leave you provisioning GPUs, picking models, and wiring up polling. Prodia sells pre-optimized endpoints and a JavaScript SDK that returns image bytes in a single job call. Its homepage walks through multi-step edits (segmentation, inpainting, background removal, instruct-to-edit) as chained API calls rather than one monolithic model. That focus on production latency and composed image workflows is the trade-off: you buy managed speed on chosen models, not a general training or fine-tuning platform.
Product teams at Lovable, Pixlr, DeepAI, and ChainGPT are named on prodia.com as customers relying on sub-second generations at scale. Engineers can install the prodia npm package and reach a test call in under 10 minutes according to Prodia onboarding copy. Volume pricing applies from 1M generations per model family, with a contact form for larger deals.
The company was founded in 2022 and lists Monty Anderson as CEO alongside a five-person team on the about page. Docs and the Model Explorer run on docs.prodia.com and app.prodia.com, while pricing tables and investor names stay on the main marketing site.
FLUX.1 schnell text-to-image is listed at 190ms on the homepage, marketed as the fastest tier
npm SDK accepts a prompt and returns image bytes in one job call with no polling
FLUX.1 schnell generations start at $0.0010 for 512x512 at up to 2 steps on the pricing page
Homepage chains segmentation, inpainting, background removal, and instruct-to-edit models in one workflow
Model lineup includes Wan 2.2, Qwen Image Edit Plus, Recraft V4, and FLUX.2 klein 9B at 280ms for edits
Volume discounts of 10% to 25% apply from 1M generations on listed FLUX and utility models
FLUX.1 schnell generations in about 190ms without hosting GPUs
npm SDK returns images in one request with no polling
Chains segmentation, inpainting, and background removal in one workflow
50+ image and video models on one API with per-generation pricing from $0.001
Trusted by Pixlr, Lovable, DeepAI, and ChainGPT for production workloads
Pay-as-you-go pricing varies by model, resolution, and reference image count
Volume discounts require contacting sales at 1M+ generations
Model Explorer and account login run on app.prodia.com, separate from the marketing site
What is Prodia?
Prodia is a developer API for generating and editing images and videos without hosting GPUs. Prodia exposes models like FLUX.1 schnell, Wan 2.2, and Recraft V4 through REST endpoints and an npm SDK. Customers named on prodia.com include Lovable, Pixlr, DeepAI, and ChainGPT.
How fast is Prodia image generation?
Prodia lists 190ms outputs for FLUX.1 schnell text-to-image on its homepage, compared with 1129ms for self-hosted setups and 3594ms for unnamed competitors in its chart. Prodia also cites 280ms for FLUX.2 klein 9B image editing. Actual latency depends on the model and workflow you call.
How much does Prodia cost?
Prodia charges per generation or megapixel rather than a flat subscription. On prodia.com/pricing, FLUX.1 schnell starts at $0.0010 for a 512x512 image with up to 2 steps. Higher resolutions, reference images, and models like FLUX.2 dev cost more. Teams doing 1M+ images can request volume tiers via the contact form.
What models does Prodia offer?
Prodia hosts 50+ image and video models according to its homepage meta description. Named models on prodia.com include FLUX.1 schnell, FLUX.2 klein 9B, Wan 2.2, Qwen Image Edit Plus, and Recraft V4. The Model Explorer on app.prodia.com lists the full catalog with filters for image, video, and utility tasks.
Does Prodia require GPU setup?
No. Prodia handles model hosting and optimization on its infrastructure. The homepage states there is no GPU provisioning or model juggling on your side. You integrate via REST or the npm package and pay per call according to the pricing page.
How do you integrate Prodia?
Install the prodia npm package, then create a job with a model type such as inference.flux.schnell.txt2img.v1 and read the image bytes from the response. Prodia says you can go from first test to production deploy in under 10 minutes. Full REST examples and model IDs are in docs.prodia.com.