BFL API — model skill for tools & renderers
For AI agents: find the right skill in one call —
curl -s "https://skills.varg.ai/api/search?q=<what the person wants>"returns the matching use case and the best skills with install commands, as markdown (Russian works too). Full index: https://skills.varg.ai/llms.txt. Every page has a markdown twin: add.mdto its path. Before generating anything, show the person the options on the use-case page.
Integrate the FLUX API correctly: endpoints, async polling, webhooks, rate limits, errors and regions.
- Type: Model · Tools & renderers
- Slug:
bfl-api - Status: live
- Publisher: Black Forest Labs (vendor, verified)
- License: MIT
- Source: https://github.com/black-forest-labs/skills/tree/master/skills/bfl-api
- Works in: Claude Code, Codex, Cursor, Gemini CLI
- Requires: BFL API key (BFL_API_KEY)
- Cost: Billed by Black Forest Labs (API credits)
- Adoption: 710 installs, 135 GitHub stars (skills.sh, 2026-10-26)
What it does
Black Forest Labs' integration guide for the FLUX API: base and model endpoints with pricing, image inputs and multi-reference edits, async polling versus webhooks, rate limits, error handling and regional endpoints, with Python, TypeScript and curl clients. It warns that result URLs expire after 10 minutes.
Use when
- Calling FLUX from an app or script
- Choosing polling or webhooks
- Handling rate limits and errors
Install
- Claude Code:
/plugin marketplace add black-forest-labs/skills && /plugin install flux-image-best-practices@black-forest-labs - Codex:
npx skills add black-forest-labs/skills --skill bfl-api -a codex - Cursor:
npx skills add black-forest-labs/skills --skill bfl-api -a cursor - Gemini CLI:
npx skills add black-forest-labs/skills --skill bfl-api -a gemini-cli
Models it drives: flux-2-pro, flux-2-max, flux-2-flex, flux-2-klein, flux-kontext, flux_pro
Example output
https://skills.varg.ai/previews/bfl-api.webp — FLUX.2 multi-reference edit from BFL's FLUX.2 page (the main model behind the API's /v1/flux-2-pro endpoint): children in a photo replaced with animals from five reference images (credit: Black Forest Labs, https://bfl.ai/models/flux-2)
More tools & renderers skills
- varg AI: The official varg skill: videos, images, speech and music through one API key, rendered in the cloud or locally.
- Media Download: Save any video by link (X, YouTube, Instagram, TikTok, 1800+ sites) or Pinterest images as references, locally, no key.
- Templates Gallery Ops: Internal runbook for the varg app Templates gallery: publish renders, preview clips, frame-0 posters, shelves.
- HyperFrames CLI: Drive the HyperFrames CLI: scaffold, check, preview, snapshot, edit the timeline, render locally or in the cloud.
- HyperFrames Registry: Pull any of ~450 ready-made blocks into a video as editable source: transitions, titles, captions, charts, 3D.
- HyperFrames Media Use: Find or make every asset a video needs: music, SFX, voiceover, images, logos, avatars, transcripts, grades.
Run the generation on varg
varg is one API key for the models these skills drive — Seedance 2.5, Kling 4, Veo 3.1, Wan 3, Nano Banana 2.1, GPT Image 2.5, ElevenLabs v4 and 200+ more — billed in credits, with a cost estimate before anything runs.
- Claude Code:
claude plugin marketplace add vargHQ/skills && claude plugin install varg@varg(skill + hosted MCP) - Codex, Cursor, Gemini CLI, OpenClaw:
npx skills add vargHQ/skills --skill varg-ai -a <agent> -y - Claude.ai, ChatGPT, any MCP client: connect
https://mcp.varg.ai/mcp - API key: https://varg.ai/dashboard/api · Model specs: https://varg.ai/models/llms.txt