FLUX1.1 [pro]

AI Image Generation Model

Image $$ · 4¢

Black Forest Labs' enhanced 12-billion parameter flow transformer with 6x faster generation than FLUX.1 [pro], delivering superior composition, detail, and artistic fidelity

2048 x 2048
Max Resolution
Supported Modes
Text to Image
Active

Details

Model ID
flux1.1-pro
Also known as: flux-pro-1.1
Creator
Black Forest Labs
Family
flux1.1
Tags
image-generation text-to-image photorealistic fast
// Get Started

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Access flux1.1-pro via our unified API.

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Available at 2 providers

Starting from

$0.040 /image via fal.ai, Replicate

Prices shown are in USD

See all providers

Providers & Pricing (2)

FLUX1.1 [pro] is available from 2 providers, with per-image pricing starting at $0.04 through fal.ai.

fal.ai
fal/flux1.1-pro
Provider Model ID: fal-ai/flux-pro/v1.1
$0.040 /image
Replicate
replicate/flux1.1-pro
Provider Model ID: black-forest-labs/flux-1.1-pro
$0.040 /image

flux-pro-1.1 API OpenAI-compatible

Integrate FLUX1.1 [pro] via Lumenfall's OpenAI-compatible API to generate professional-grade images 6x faster than previous flow transformer iterations.

Base URL
https://api.lumenfall.ai/openai/v1
Model
flux1.1-pro

Code Examples

Text to Image

/v1/images/generations
curl -X POST \
  https://api.lumenfall.ai/openai/v1/images/generations \
  -H "Authorization: Bearer $LUMENFALL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "flux1.1-pro",
    "prompt": "",
    "size": "1024x1024"
  }'
# Response:
# { "created": 1234567890, "data": [{ "url": "https://...", "revised_prompt": "..." }] }

Parameter Reference

Required Supported Not available

Core Parameters

Parameter Type Description Modes
prompt string Required. Text prompt for image generation
T2I
seed integer Random seed for reproducibility
T2I

Size & Layout

Parameter Type Description Modes
size string Image dimensions as WxH pixels (e.g. "1024x1024") or aspect ratio (e.g. "16:9")
WxH determines both shape and scale (aspect_ratio and resolution are ignored when size is provided). W:H format is equivalent to aspect_ratio.
T2I
aspect_ratio string Aspect ratio of the output image (e.g. "16:9", "1:1")
Controls shape independently of scale. Use with resolution to control both. If size is also provided, size takes precedence. Any ratio is accepted and mapped to the nearest supported value.
T2I
resolution string Output resolution tier (e.g. "1K", "4K")
1K
Controls scale independently of shape. Higher tiers produce larger images and cost more. If size is also provided, size takes precedence for scale. Any tier is accepted and mapped to the nearest supported value.
T2I
Output size aspect_ratio + resolution
Flexible
Custom
1–14142px per side
"WxH" Any pixel dimensions within model constraints
1K 9 sizes
Output size aspect_ratio + resolution
1183 × 887 "1183x887" or "4:3" + "1K"
916 × 1145 "916x1145" or "4:5" + "1K"
1145 × 916 "1145x916" or "5:4" + "1K"
1024 × 1024 "1024x1024" or "1:1" + "1K"
887 × 1182 "887x1182" or "3:4" + "1K"
836 × 1254 "836x1254" or "2:3" + "1K"
1254 × 836 "1254x836" or "3:2" + "1K"
768 × 1365 "768x1365" or "9:16" + "1K"
1365 × 768 "1365x768" or "16:9" + "1K"

How these parameters work

size

Exact pixel dimensions

"1920x1080"
aspect_ratio

Shape only, default scale

"16:9"
resolution

Scale tier, preserves shape

"1K"

Priority when combined

size aspect_ratio + resolution aspect_ratio resolution

size is most specific and always wins. aspect_ratio and resolution control shape and scale independently.

How matching works

Shape matching – we pick the closest supported ratio. Ask for 7:1 on a model with 4:1 and 8:1, you get 8:1.
Scale matching – providers use different tier formats: K tiers (0.5K 1K 2K 4K) or megapixel tiers (0.25 1). If the exact tier isn't available, you get the nearest one.
Dimension clamping – if a model has pixel limits, we clamp dimensions to fit and keep the aspect ratio intact.

Output & Format

Parameter Type Description Modes
response_format string How to return the image
url b64_json
Default: "url"
T2I
output_format string Output image format
png jpeg gif webp avif
Gateway converts to requested format if provider doesn't support it natively.
T2I
output_compression integer Compression level for lossy formats (JPEG, WebP, AVIF)
T2I
n integer Number of images to generate
Default: 1
Gateway generates multiple images in parallel even if provider only supports 1.
T2I

Additional Parameters

Parameter Type Description Modes
enhance_prompt fal boolean Whether to enhance the prompt for better results.
T2I
height replicate integer Height of the generated image in text-to-image mode. Only used when aspect_ratio=custom. Must be a multiple of 32 (if it's not, it will be rounded to nearest multiple of 32). Note: Ignored in img2img and inpainting modes.
T2I
image_prompt replicate string Image to use with Flux Redux. This is used together with the text prompt to guide the generation towards the composition of the image_prompt. Must be jpeg, png, gif, or webp.
T2I
output_quality replicate integer Quality when saving the output images, from 0 to 100. 100 is best quality, 0 is lowest quality. Not relevant for .png outputs
T2I
prompt_upsampling replicate boolean Automatically modify the prompt for more creative generation
T2I
safety_tolerance string The safety tolerance level for the generated image. 1 being the most strict and 5 being the most permissive.
1 2 3 4 5 6
T2I
sync_mode fal boolean If `True`, the media will be returned as a data URI and the output data won't be available in the request history.
T2I
width replicate integer Width of the generated image in text-to-image mode. Only used when aspect_ratio=custom. Must be a multiple of 32 (if it's not, it will be rounded to nearest multiple of 32). Note: Ignored in img2img and inpainting modes.
T2I

Parameter Normalization

How we handle parameters across different providers

Not every provider speaks the same language. When you send a parameter, we handle it in one of four ways depending on what the model supports:

Behavior What happens Example
passthrough Sent as-is to the provider style, quality
renamed Same value, mapped to the field name the provider expects prompt
converted Transformed to the provider's native format size
emulated Works even if the provider has no concept of it n, response_format

Parameters we don't recognize pass straight through to the upstream API, so provider-specific options still work.

FLUX1.1 [pro] FAQ

How much does FLUX1.1 [pro] cost?

FLUX1.1 [pro] starts at $0.04 per image through Lumenfall. Pricing varies by provider. Lumenfall does not add any markup to provider pricing.

How do I use FLUX1.1 [pro] via API?

You can use FLUX1.1 [pro] through Lumenfall's OpenAI-compatible API. Send requests to the unified endpoint with model ID "flux1.1-pro". Code examples are available in Python, JavaScript, and cURL.

Which providers offer FLUX1.1 [pro]?

FLUX1.1 [pro] is available through fal.ai and Replicate on Lumenfall. Lumenfall automatically routes requests to the best available provider.

What is the maximum resolution for FLUX1.1 [pro]?

FLUX1.1 [pro] supports images up to 2048x2048 resolution.

Overview

FLUX1.1 [pro] is a high-performance text-to-image model developed by Black Forest Labs, designed to balance elite output quality with rapid generation speeds. It is an evolution of the FLUX.1 architecture, utilizing a 12-billion parameter flow transformer to produce high-resolution imagery six times faster than its predecessor. This model is engineered for professional workflows that require high-fidelity details, precise prompt adherence, and efficient batch processing.

Strengths

  • Generation Velocity: Provides a 6x speed increase over the original FLUX.1 [pro], significantly reducing latency for high-resolution image synthesis.
  • Instruction Adherence: Excels at interpreting complex, multi-subject prompts with high spatial accuracy and compositional integrity.
  • Anatomical and Textual Accuracy: Demonstrates superior rendering of fine details, including realistic human anatomy (particularly hands) and legible, coherent text within generated images.
  • Artistic Versatility: Balances photorealistic output with the ability to execute various aesthetic styles, from cinematic photography to digital illustration, without losing detail.

Limitations

  • Hardware and Cost Requirements: As a “pro” tier model with 12 billion parameters, it requires substantial computational resources and carries a higher cost per generation ($0.04) compared to smaller “schnell” or “dev” variants.
  • Fixed Modality: The model is currently focused strictly on text-to-image generation and does not natively support multi-modal inputs like image-to-image or video out-of-the-box without specialized pipeline implementations.

Technical Background

FLUX1.1 [pro] is built on a “flow transformer” architecture, a design that optimizes the diffusion process by modeling the straight-line paths between data and noise. This iteration focuses on refined sampling efficiency, allowing the model to reach high-convergence states in fewer steps than traditional diffusion models. The training emphasizes high-parameter density to capture intricate textures and global scene coherence.

Best For

FLUX1.1 [pro] is ideal for commercial design projects, advertising assets, and any professional application where speed-to-market and visual precision are critical. It is particularly effective for generating marketing copy embedded in imagery or high-fidelity character concept art. Developers can access FLUX1.1 [pro] through Lumenfall’s unified API and interactive playground, enabling rapid testing and integration into production-ready creative pipelines.

Try FLUX1.1 [pro] in Playground

Generate images with custom prompts — no API key needed.

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