Black Forest Labs' enhanced 12-billion parameter flow transformer with 6x faster generation than FLUX.1 [pro], delivering superior composition, detail, and artistic fidelity
Details
flux1.1-pro
Starting from
Prices shown are in USD
See all providersProviders & Pricing (2)
FLUX1.1 [pro] is available from 2 providers, with per-image pricing starting at $0.04 through fal.ai.
fal/flux1.1-pro
replicate/flux1.1-pro
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.
https://api.lumenfall.ai/openai/v1
flux1.1-pro
Code Examples
Text to Image
/v1/images/generationscurl -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": "..." }] }
import OpenAI from 'openai';
const client = new OpenAI({
apiKey: 'YOUR_API_KEY',
baseURL: 'https://api.lumenfall.ai/openai/v1'
});
const response = await client.images.generate({
model: 'flux1.1-pro',
prompt: '',
size: '1024x1024'
});
// { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }
console.log(response.data[0].url);
from openai import OpenAI
client = OpenAI(
api_key="YOUR_API_KEY",
base_url="https://api.lumenfall.ai/openai/v1"
)
response = client.images.generate(
model="flux1.1-pro",
prompt="",
size="1024x1024"
)
# { created: 1234567890, data: [{ url: "https://...", revised_prompt: "..." }] }
print(response.data[0].url)
Parameter Reference
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 is most specific and always wins. aspect_ratio and resolution control shape and scale independently.
How matching works
7:1 on a model with
4:1 and 8:1,
you get 8:1.
0.5K 1K 2K 4K)
or megapixel tiers (0.25 1).
If the exact tier isn't available, you get the nearest one.
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:
1Gateway 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.
Gallery
View all 4 imagesFLUX1.1 [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.