Black Forest Labs: FLUX1.1 [pro] Ultra
black-forest-labs/flux-1.1-pro-ultra
Access FLUX1.1 [pro] Ultra from Black Forest Labs using the Puter.js AI API.
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Model Card
FLUX1.1 [pro] Ultra is Black Forest Labs' high-resolution mode built on top of FLUX 1.1 Pro, generating images at up to 4 megapixels, four times the resolution of the standard model. Generation still takes about 10 seconds per image; Black Forest Labs reports this is over 2.5x faster than comparable high-resolution offerings from other providers.
Ultra mode includes an optional Raw mode toggle that favors a candid, less processed photographic look over the typical polished AI aesthetic, with reported gains in subject diversity and realism for nature photography.
It supports flexible aspect ratios and suits product photography, marketing images, and other cases where resolution and photorealism matter more than low latency.
Cost Per Image $0.06
per generation
Configuration output
resolution
Release Date Nov 6, 2024
Code Example
Use FLUX1.1 [pro] Ultra in your app with the Puter.js AI API — no API keys or setup required.
// npm install @heyputer/puter.js
import { puter } from '@heyputer/puter.js';
puter.ai.txt2img("A serene mountain landscape at sunset", {
model: "black-forest-labs/flux-1.1-pro-ultra"
}).then(image => {
document.body.appendChild(image);
});
<html>
<body>
<script src="https://js.puter.com/v2/"></script>
<script>
puter.ai.txt2img("A serene mountain landscape at sunset", {
model: "black-forest-labs/flux-1.1-pro-ultra"
}).then(image => {
document.body.appendChild(image);
});
</script>
</body>
</html>
More AI Models From Black Forest Labs
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FLUX 3
FLUX 3 is Black Forest Labs' multimodal foundation model, a change from the company's previous FLUX.1 and FLUX.2 releases, which were image-only. It is trained jointly on images, video, and audio using an architecture BFL calls Self-Flow, and is the company's first model to generate video and audio from the same set of weights. The video capability supports text-to-video, image-to-video, video-to-video editing, video continuation, and keyframe-based transitions, producing clips up to 20 seconds long in HD (1 megapixel per frame) or Full HD (2 megapixels per frame). It generates optional native audio alongside the video, including multilingual dialogue, sound effects, and ambient noise. Black Forest Labs reports FLUX 3 Video ranks highest in Elo ratings for text-to-video and image-to-video among models it compared, including Gemini Omni Flash, Minimax H3, and Seedance 2.0. FLUX 3 Video became generally available on August 5, 2026.
ImageFLUX.2 [klein] 4B
FLUX.2 Klein 4B is a compact, Apache 2.0 licensed model distilled from the full FLUX.2 architecture, capable of sub-second image generation on consumer GPUs with ~13GB VRAM. It supports text-to-image, image editing, and multi-reference generation in a unified model.
ImageFLUX.2 [klein] 9B
FLUX.2 Klein 9B is a larger variant of the Klein family built on a 9B flow model with an 8B Qwen3 text embedder, matching or exceeding models 5x its size in quality. It offers higher output diversity than the 4B distilled variant and is ideal for fine-tuning and research.
Frequently Asked Questions
You can access FLUX1.1 [pro] Ultra by Black Forest Labs through Puter.js AI API. Include the library in your web app or Node.js project and start making calls with just a few lines of JavaScript — no backend and no configuration required.
FLUX1.1 [pro] Ultra is free to integrate using the Puter.js AI API. With the User-Pays Model, you can add AI to your app for $0, since users cover their own AI usage through their Puter account.
| Price | |
|---|---|
| Per image | $0.06 |
FLUX1.1 [pro] Ultra was created by Black Forest Labs and released on Nov 6, 2024.
Yes — the FLUX1.1 [pro] Ultra API works with any JavaScript framework, Node.js, or plain HTML through Puter.js. Just include the library and start building. See the documentation for more details.
Add FLUX1.1 [pro] Ultra to your app for free
Developers can integrate FLUX1.1 [pro] Ultra for free using the Puter.js AI API.
With the User-Pays Model, each user covers their own AI usage instead of the developer.