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bfl-api

by @black-forest-labsv1.0.0
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BFL FLUX API integration guide covering endpoints, async polling patterns, rate limiting, error handling, webhooks, and regional endpoints with Python and TypeScript code examples.

BFL APIAPI IntegrationBackend DevelopmentRESTful APIMicroservicesGitHub
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npx skills add black-forest-labs/skills --skill bfl-api
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name: bfl-api description: BFL FLUX API integration guide covering endpoints, async polling patterns, rate limiting, error handling, webhooks, and regional endpoints with Python and TypeScript code examples. metadata: author: Black Forest Labs version: "1.0.0" tags: flux, bfl, api, integration, webhooks, rate-limiting

BFL API Integration Guide

Use this skill when integrating BFL FLUX APIs into applications for image generation, editing, and processing.

First: Check API Key

Before generating images, verify your API key is set:

echo $BFL_API_KEY

If empty or you see "Not authenticated" errors, see API Key Setup below.

Important: Image URLs Expire in 10 Minutes

Result URLs from the API are temporary. Download images immediately after generation completes - do not store or cache the URLs themselves.

When to Use

  • Setting up BFL API client
  • Implementing async polling patterns
  • Handling rate limits and errors
  • Configuring webhooks for production
  • Selecting regional endpoints
  • Building production-ready integrations

Quick Reference

Base Endpoints

| Region | Endpoint | Use Case | | ------ | ----------------------- | --------------------------- | | Global | https://api.bfl.ai | Default, automatic failover | | EU | https://api.eu.bfl.ai | GDPR compliance | | US | https://api.us.bfl.ai | US data residency |

Model Endpoints & Pricing

Credit pricing: 1 credit = $0.01 USD. FLUX.2 uses megapixel-based pricing (cost scales with resolution).

FLUX.2 Models

| Model | Path | 1st MP | +MP | 1MP T2I | 1MP I2I | Best For | | ----------------- | --------------------- | ------ | ---- | ------- | ------- | ---------------------------------- | | FLUX.2 [klein] 4B | /v1/flux-2-klein-4b | 1.4c | 0.1c | $0.014 | $0.015 | Real-time, high volume | | FLUX.2 [klein] 9B | /v1/flux-2-klein-9b | 1.5c | 0.2c | $0.015 | $0.017 | Balanced quality/speed | | FLUX.2 [pro] | /v1/flux-2-pro | 3c | 1.5c | $0.03 | $0.045 | Production, fast turnaround | | FLUX.2 [max] | /v1/flux-2-max | 7c | 3c | $0.07 | $0.10 | Maximum quality | | FLUX.2 [flex] | /v1/flux-2-flex | 5c | 5c | $0.05 | $0.10 | Typography, adjustable controls | | FLUX.2 [dev] | - | - | - | Free | Free | Local development (non-commercial) |

Pricing formula: (firstMP + (outputMP-1) * mpPrice) + (inputMP * mpPrice) in cents

FLUX.1 Models

| Model | Path | Price/Image | Best For | | -------------------- | ------------------------ | ----------- | ----------------------------- | | FLUX.1 Kontext [pro] | /v1/flux-kontext | $0.04 | Image editing with context | | FLUX.1 Kontext [max] | /v1/flux-kontext-max | $0.08 | Max quality editing | | FLUX1.1 [pro] | /v1/flux-pro-1.1 | $0.04 | Standard T2I, fast & reliable | | FLUX1.1 [pro] Ultra | /v1/flux-pro-1.1-ultra | $0.06 | Ultra high-resolution | | FLUX1.1 [pro] Raw | /v1/flux-pro-1.1-raw | $0.06 | Candid photography feel | | FLUX.1 Fill [pro] | /v1/flux-pro-1.0-fill | $0.05 | Inpainting |

Tip: All FLUX.2 models support image editing via the input_image parameter - no separate editing endpoint needed. Use bfl.ai/pricing calculator for exact costs at different resolutions.

Image Input for Editing

Preferred: Use URLs directly - simpler and more convenient than base64.

Single image editing:

curl -X POST "https://api.bfl.ai/v1/flux-2-pro" \
  -H "x-key: $BFL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "Change the background to a sunset",
    "input_image": "https://example.com/photo.jpg"
  }'

Multi-reference editing:

curl -X POST "https://api.bfl.ai/v1/flux-2-pro" \
  -H "x-key: $BFL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "The person from image 1 in the environment from image 2",
    "input_image": "https://example.com/person.jpg",
    "input_image_2": "https://example.com/background.jpg"
  }'

The API fetches URLs automatically. Both URL and base64 work, but URLs are recommended when available.

Multi-Reference I2I

FLUX.2 models support multiple input images for combining elements, style transfer, and character consistency:

| Model | Max References | | --------------------- | -------------- | | FLUX.2 [klein] | 4 images | | FLUX.2 [pro/max/flex] | 8 images |

Parameters: input_image, input_image_2, input_image_3, ... input_image_8

Prompt pattern: Reference images by number in your prompt:

  • "The subject from image 1 in the environment from image 2"
  • "Apply the style of image 2 to the scene in image 1"
  • "The person from image 1 wearing the outfit from image 2, in the pose from image 3"

For detailed multi-reference patterns (character consistency, style transfer, pose guidance), see flux-best-practices/rules/multi-reference-editing.md

Rate Limits

| Tier | Concurrent Requests | | ------------------------- | ------------------- | | Standard (most endpoints) | 24 |

Polling vs Webhooks

| Approach | Use When | | ------------ | ------------------------------------------------------------------------------------ | | Polling | Scripts, CLI tools, local development, single requests, simple integrations | | Webhooks | Production apps, high volume, server-to-server, when you need immediate notification |

Start with polling - it's simpler and works everywhere. Switch to webhooks when you need to scale or want event-driven architecture.

Key Behaviors

  • Polling: Response includes polling_url for async results
  • URL Expiration: Result URLs expire after 10 minutes
  • Webhook Support: Configure webhook_url for production workloads

API Key Setup

Required: The BFL_API_KEY environment variable must be set before using the API.

Quick Check

echo $BFL_API_KEY

If Not Set

  1. Get a key: Go to https://dashboard.bfl.ai/get-started → Click "Create Key" → Select organization
  2. Save to .env (recommended for persistence):
    echo 'BFL_API_KEY=bfl_your_key_here' >> .env
    echo '.env' >> .gitignore  # Don't commit secrets
    

See references/api-key-setup.md for detailed setup instructions.

Authentication

x-key: YOUR_API_KEY

Basic Request Flow

1. POST request to model endpoint
   └─> Response: { "polling_url": "..." }

2. GET polling_url (repeat until complete)
   └─> Response: { "status": "Pending" | "Ready" | "Error", ... }

3. When Ready, download result URL
   └─> URL expires in 10 minutes - download immediately

Related

  • Prompting best practices (T2I, I2I, typography, colors): see the flux-best-practices skill
  • Multi-reference patterns (character consistency, style transfer, pose guidance): see flux-best-practices/rules/multi-reference-editing.md

References

Code Examples

Note: cURL examples are preferred by default as they work universally without requiring Python or Node.js. Use language-specific clients when building production applications.

Quick Start Example

1. Submit Generation Request

curl -s -X POST "https://api.bfl.ai/v1/flux-2-pro" \
  -H "x-key: $BFL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{"prompt": "A serene mountain landscape at sunset", "width": 1024, "height": 1024}'

Response:

{ "id": "abc123", "polling_url": "https://api.bfl.ai/v1/get_result?id=abc123" }

2. Poll for Result

curl -s "POLLING_URL" -H "x-key: $BFL_API_KEY"

Response when ready:

{ "status": "Ready", "result": { "sample": "https://...", "seed": 1234 } }

3. Download Image

curl -s -o output.png "IMAGE_URL"

Tip: Result URLs expire in 10 minutes. Download immediately after status becomes Ready.

4. Multi-Reference Example

Combine elements from multiple images:

curl -s -X POST "https://api.bfl.ai/v1/flux-2-pro" \
  -H "x-key: $BFL_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "prompt": "The cat from image 1 sitting in the cozy room from image 2",
    "input_image": "https://example.com/cat.jpg",
    "input_image_2": "https://example.com/room.jpg",
    "width": 1024,
    "height": 1024
  }'

Reference images by number in your prompt. See Multi-Reference I2I for limits and patterns.

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版本1.0.0
更新日期2026年3月17日
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创建2026年3月17日
最后更新2026年3月17日