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/bfl-api

BFL FLUX API integration guide covering endpoints, async polling patterns, rate limiting, error handling, webhooks, and regional endpoints with Python and TypeScript code examples.

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$ npx -y skills add calesthio/OpenMontage --skill bfl-api --agent claude-code

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  • Fires itselfAuto-invocation. Claude auto-loads it when your prompt matches the work.Auto-invocation is when the right skill fires by itself at the right moment, driven by a FLOW.md router and a hook, instead of you invoking it by name. It is the difference between a skill being installed and a skill actually getting used.Read the full definition →
  • You can call itInvoke it directly when you want it.
  • Slash command/bfl-api

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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.

SKILL.md

bfl-api.SKILL.md
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](#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](https://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 p

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