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AiTradeStore / Models / Image / FLUX1.1 [pro]

FLUX1.1 [pro]

Advanced image generation model with FLUX.1-dev architecture, offering high-quality outputs for artistic and commercial use.
Image
Try FLUX1.1 [pro]
API Usage
How to use FLUX1.1 [pro]Model CardPrompting FLUX1.1 [pro]Applications & Use Cases

API Usage

Endpoint

black-forest-labs/FLUX.1.1-pro
Curl
Python
Typescript

RUN INFERENCE

curl -X POST "https://aitradestore.com/api/v1/images/generations"  
 -H "Authorization: Bearer $AITRADESTORE_API_KEY"  
 -H "Content-Type: application/json"  
 -d '{ 
   "model": "black-forest-labs/FLUX.1.1-pro", 
   "prompt": "Cats eating popcorn", 
   "steps": 10, 
   "n": 4 
  }'

JSON RESPONSE

RUN INFERENCE

from aitradestore import AiTradeStore  client = AiTradeStore() response = client.images.generate( 
   prompt="Cats eating popcorn", 
   model="black-forest-labs/FLUX.1.1-pro", 
   steps=10, 
   n=4 ) print(response.data[0].b64_json)

JSON RESPONSE

RUN INFERENCE

import AiTradeStore from "ai-tradestore";  const aitradestore = new AiTradeStore();  const response = await aitradestore.images.create({ 
   model: "black-forest-labs/FLUX.1.1-pro", 
   prompt: "Cats eating popcorn", 
   steps: 10, 
   n: 4 }); console.log(response.data[0].b64_json);

JSON RESPONSE

Model Provider:

FLUX

Type:

Image

Variant:

[pro]

Parameters:

Deployment:

✔ Serverless

Quantization

Context length:

Pricing:

See pricing

How to use FLUX1.1 [pro]

Model details

Prompting FLUX1.1 [pro]

Applications & Use Cases

Image

AiTradeStore / Models / Image / FLUX1.1 [pro]

FLUX1.1 [pro]

Advanced image generation model with FLUX.1-dev architecture, offering high-quality outputs for artistic and commercial use.
Image
Try FLUX1.1 [pro]
API Usage
How to use FLUX1.1 [pro]Model CardPrompting FLUX1.1 [pro]Applications & Use Cases

API Usage

Endpoint

black-forest-labs/FLUX.1.1-pro
Curl
Python
Typescript

RUN INFERENCE

curl -X POST "https://aitradestore.com/api/v1/images/generations"  
 -H "Authorization: Bearer $AITRADESTORE_API_KEY"  
 -H "Content-Type: application/json"  
 -d '{ 
   "model": "black-forest-labs/FLUX.1.1-pro", 
   "prompt": "Cats eating popcorn", 
   "steps": 10, 
   "n": 4 
  }'

JSON RESPONSE

RUN INFERENCE

from aitradestore import AiTradeStore  client = AiTradeStore() response = client.images.generate( 
   prompt="Cats eating popcorn", 
   model="black-forest-labs/FLUX.1.1-pro", 
   steps=10, 
   n=4 ) print(response.data[0].b64_json)

JSON RESPONSE

RUN INFERENCE

import AiTradeStore from "ai-tradestore";  const aitradestore = new AiTradeStore();  const response = await aitradestore.images.create({ 
   model: "black-forest-labs/FLUX.1.1-pro", 
   prompt: "Cats eating popcorn", 
   steps: 10, 
   n: 4 }); console.log(response.data[0].b64_json);

JSON RESPONSE

Model Provider:

FLUX

Type:

Image

Variant:

[pro]

Parameters:

Deployment:

✔ Serverless

Quantization

Context length:

Pricing:

See pricing

How to use FLUX1.1 [pro]

Model details

Prompting FLUX1.1 [pro]

Applications & Use Cases

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