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bfl-api

bfl-api

github.com/black-forest-labsDevelopment134722 installsUpdated 9w ago
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About bfl-api

bfl-api is a skill for developers integrating BFL FLUX APIs for image generation and editing. It covers model endpoints, asynchronous results, regional choices, rate limits, and production webhooks.

Key features

  1. 01FLUX model endpoint guidance
  2. 02Text-to-image and image editing
  3. 03Multi-reference image inputs
  4. 04Polling and webhook patterns
  5. 05Regional endpoints and rate limits

Use cases

  1. 01Integrating FLUX image generation in an application
  2. 02Editing images with one or more references
  3. 03Handling asynchronous generation results
  4. 04Configuring production webhook workflows

Install

Copy the command and run it in a terminal.

$npx skills add https://github.com/black-forest-labs/skills --skill bfl-api

After installing, type/bfl-apiin Claude Code to confirm it loaded.

Bundled files

References and scripts installed along with SKILL.md.

metadata.json
references/
api-key-setup.md
endpoints.md
error-handling.md
polling-patterns.md
rate-limiting.md
webhook-integration.md
references/code-examples/
curl-examples.sh
python-client.py
typescript-client.ts

Details

From the project README

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
RegionEndpointUse Case
Globalhttps://api.bfl.aiDefault, automatic failover
EUhttps://api.eu.bfl.aiGDPR compliance
UShttps://api.us.bfl.aiUS 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
ModelPath1st MP+MP1MP T2I1MP I2IBest For
FLUX.2 [klein] 4B/v1/flux-2-klein-4b1.4c0.1c$0.014$0.015Real-time, high volume
FLUX.2 [klein] 9B/v1/flux-2-klein-9b1.5c0.2c$0.015$0.017Balanced quality/speed
FLUX.2 [pro]/v1/flux-2-pro3c1.5c$0.03$0.045Production, fast turnaround
FLUX.2 [max]/v1/flux-2-max7c3c$0.07$0.10Maximum quality
FLUX.2 [flex]/v1/flux-2-flex5c5c$0.05$0.10Typography, adjustable controls
FLUX.2 [dev]---FreeFreeLocal development (non-commercial)

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

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

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:

ModelMax 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-image-best-practices/rules/multi-reference-editing.md

Rate Limits
TierConcurrent Requests
Standard (most endpoints)24
Polling vs Webhooks
ApproachUse When
PollingScripts, CLI tools, local development, single requests, simple integrations
WebhooksProduction 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-image-best-practices skill
  • Multi-reference patterns (character consistency, style transfer, pose guidance): see flux-image-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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