Flux1.1 Pro – Ultra - AI Image Models Tool

Overview

Flux1.1 Pro – Ultra is a text-to-image diffusion model developed by Black Forest Labs and hosted on Replicate. The model is designed for high-resolution image generation, offering an “ultra” mode that produces images up to roughly 4 megapixels and an alternative “raw” mode that yields a more candid, natural aesthetic. According to the model page on Replicate, Flux1.1 Pro – Ultra targets fast turnaround times, with sample generation commonly reported at around 10 seconds per image (actual latency depends on hardware and runtime settings). Flux1.1 Pro – Ultra is intended for workflows that require detailed, high-resolution outputs—concept art, marketing assets, editorial imagery, and prototype visualizations—while also supporting a less-processed look through its raw mode. The model is accessible through Replicate’s hosting and API, so teams can integrate it into pipelines without managing model infrastructure themselves. For exact input names, parameter ranges, and up-to-date usage details, consult the model page on Replicate.

Key Features

• Ultra mode produces high-resolution images up to roughly 4 megapixels
• Fast inference: typical sample generation around 10 seconds (runtime-dependent)
• Raw mode yields a more natural, candid, less-processed aesthetic
• Text-to-image diffusion pipeline for detailed, photoreal and stylized outputs
• Hosted on Replicate for API access and easy pipeline integration

Example Usage

Example (python):

import replicate
import requests

# Note: parameter names vary by model version. Check the Replicate model page for exact inputs.
model = replicate.models.get("black-forest-labs/flux-1.1-pro-ultra")

# Example: request an image with a descriptive prompt and choose a mode if supported
inputs = {
    "prompt": "A cinematic portrait of an astronaut standing on a moss-covered cliff, dramatic lighting, 8k detail",
    # "mode": "ultra",            # optional: use 'ultra' for high-resolution (check model docs)
    # "mode": "raw",              # optional: use 'raw' for candid/natural aesthetic
    # "max_resolution": "4MP"     # optional: example parameter (verify exact key on Replicate)
}

# Submit prediction
prediction = model.predict(**inputs)

# Many Replicate models return a list of image URLs or a single URL; adapt as needed
image_url = prediction[0] if isinstance(prediction, (list, tuple)) else prediction

# Download the generated image
resp = requests.get(image_url)
with open("flux_output.png", "wb") as f:
    f.write(resp.content)

print("Saved generated image to flux_output.png")

Benchmarks

maximum_output_resolution: Up to 4 megapixels (Source: https://replicate.com/black-forest-labs/flux-1.1-pro-ultra)

typical_generation_time: Approximately 10 seconds per sample (runtime-dependent) (Source: https://replicate.com/black-forest-labs/flux-1.1-pro-ultra)

Key Information

• Category: Image Models
• Type: AI Image Models Tool