Flux 3 Generate logo

Flux 3 Generate

Organization
black-forest-labs
flux-3-generate

Use when submitting or polling a FLUX 3 video API job. Also covers drafts, downloads, and technical validation.

Overview

Publisherblack-forest-labs
Repositoryskills
Skill nameflux-3-generate
Stars
135
Forks
11
Bundled files
2
LicenseMIT
Links
  • Markdown instructions

    A SKILL.md file the model loads on demand, so it only costs tokens when a request actually matches.

  • Works with any LLM

    AI skills are plain Markdown, not provider-specific code, so this works with GPT, Claude, Gemini, Grok, or a local model.

  • 2 bundled files

    Scripts, templates, and references the model can read while it works. Files are read-only and never executed.

  • Open source

    Published by black-forest-labs on GitHub. Read the source before you install it.

Installation

Install the Flux 3 Generate AI skill in TypingMind to use it with any LLM, or drop it into another agent that reads SKILL.md.

1

Install in TypingMind

TypingMind installs a skill straight from its GitHub folder — it reads SKILL.md, bundles the resource files, and stores the result locally.

  1. Open the app and go to Plugins → Skills.
  2. Choose "Install from GitHub".
  3. Paste the skill folder URL below and confirm.
    https://github.com/black-forest-labs/skills/tree/master/skills/flux-3-generate
  4. Enable the skill in any chat where you want it available.
Plugins → Skills → Add skill → From GitHub URL, then paste the folder URL and press Continue.
2

Install in another agent

Any agent that reads the Agent Skills format can use this skill — copy the folder into that agent's skills directory.

Claude Code — .claude/skills
git clone --depth 1 https://github.com/black-forest-labs/skills.git /tmp/skills
mkdir -p .claude/skills
cp -r /tmp/skills/skills/flux-3-generate .claude/skills/flux-3-generate
Restart Claude Code after copying so it picks up the new skill.

Use it in TypingMind

Enable Flux 3 Generate in any TypingMind chat and the model takes it from there. Its name and description sit in the system prompt, and the moment a request matches, the model loads the full instructions itself — you never invoke it by hand, and it costs no tokens until it is actually used.

The model loads Flux 3 Generate on its own as soon as a request matches it.

Works with any AI model

AI skills are plain Markdown instructions rather than provider-specific code, so Flux 3 Generate is not tied to the model it was written for. Install it once in TypingMind and use it with GPT-5, Claude, Gemini, Grok, DeepSeek, Mistral, Llama, or a local model you run yourself — all on your own API keys.

  • Loaded only when it is needed

    The system prompt carries just the name and description. The instructions are fetched on the first matching request, so an idle skill costs nothing.

  • Switch models mid-chat

    Because the skill is instructions rather than code, changing model does not break it — the next model reads the same SKILL.md.

Skill instructions

This is the SKILL.md content the model loads. Read it before installing — a skill is instructions your model will follow.

FLUX 3 Generate

Execute a ready plan through the asynchronous API, preserve expiring artifacts, and verify the MP4. Read the FLUX 3 API reference before building a request; it is authoritative wherever this skill disagrees. Authenticate with the x-key header from BFL_API_KEY; check the variable exists without printing it, and never put keys in prompts, logs, or saved request bodies.

Request shape

Every request names its mode (required, exact strings) and carries the matching media field:

modeMedia fieldWhat the model does
t2vnoneGenerates the clip from your text alone
i2vkeyframes (required)Puts your images on screen, pixel for pixel, as pinned frames
v2vstart_video (required)Continues from the final frames of your clip
draft_enhancedraft_cache (required)Replays a cached draft at full quality; accepts no other fields, not even prompt
  • The schema is strict: any field it does not know returns a 422 naming it (Extra inputs are not permitted). A missing required field 422s the same way.
  • Settings on the generating modes: aspect_ratio (auto, 21:9, 2:1, 16:9, 4:3, 1:1, 3:4, 9:16), duration (integer 5-20 or "auto"), resolution (hd or fhd), generate_audio (bool), draft (bool), version.
  • Constraints couple (a video input at higher resolution may cap duration): read the reference rather than assuming fields are independent.
  • Three or more bare keyframes, and all [seconds, image] timestamped keyframes, need an integer duration. Media travels as a public URL or inline base64; keyframe images are at least 256x256.

Run a job

  1. Submit once. Persist the returned task id and polling_url with the secret-free request.
  2. Poll every 6 seconds to a terminal state with the x-key header, following redirects. Planning time on a complex brief is normal, not a stall. The API status strings are exact. KEEP POLLING on Pending, Reasoning, Generating. STOP on Ready (success) and on Error, Request Moderated, Content Moderated, or Task not found (failures). None of these terminal statuses ever later becomes Ready.
    • 429 on submit means your org's concurrency ceiling is full and no task was created. There is nothing to poll. Wait for a slot, then resubmit the same body.
    • 429 on poll means the task exists and is unaffected. Back off and keep polling the same polling_url. Never resubmit, or you pay for a second render.
    • 503: bounded backoff.
  3. Download immediately. Observed signed sample and draft cache URLs expire roughly one hour after the result is ready. The se= query parameter on the URL itself is the authoritative expiry. Read it rather than assuming a fixed window. Video outputs arrive in result.samples, which is a list. Draft bundles arrive in result.draft_caches, which is also a list. The singular result.draft_cache is the first element of that list, not the complete set. Iterate every element of both lists and download all of them before doing anything else, recording the local path and task ID per element. A client reading only the singular result.draft_cache key silently drops paid artifacts that cannot be recovered once the signed URLs expire. Save the downloaded files, plus task ID and status.
  4. Validate: container decodes, duration/resolution/aspect match intent, audio present exactly when requested. Technical validity is not creative approval; hand review to the specialist that owns it.

Drafts

Add draft: true while a concept is unproven: a fast low-step preview plus a draft_cache costs far less than a full render. Judge a draft on event legibility, composition, and continuity; softness is the low-step trade and resolves at full quality. Enhance only the chosen cache (it replays the same generation, so preserve draft-to-cache identity when several are in play).

Between reruns change one consequential dimension. After two structurally similar misses, return to the creative skill instead of accumulating adjectives.

References

Bundled files

The model reads these on demand while the skill is loaded. They are exposed as readable files and are never executed.

Frequently asked questions

What does the Flux 3 Generate AI skill do?

Use when submitting or polling a FLUX 3 video API job. Also covers drafts, downloads, and technical validation.

Why use Flux 3 Generate on TypingMind?

Because you install it once and use it with any model. Flux 3 Generate is plain Markdown rather than provider-specific code, so the same skill runs on GPT-5, Claude, Gemini, Grok, or a local model — and you can switch model mid-chat without it breaking. TypingMind runs on your own API keys, so you pay providers directly instead of a per-seat subscription, and your skills and chats stay in your own storage.

How do I install Flux 3 Generate in TypingMind?

Open Plugins → Skills → Install from GitHub in TypingMind and paste https://github.com/black-forest-labs/skills/tree/master/skills/flux-3-generate. TypingMind reads its SKILL.md and bundles its files and installs it as a skill you can enable per chat.

Which AI models can use Flux 3 Generate?

Any model you connect in TypingMind. AI skills are plain Markdown instructions rather than provider-specific code, so GPT, Claude, Gemini, Grok, and local models can all load this skill when a request matches it.

How many AI models can I use with Flux 3 Generate?

As many as you like. As long as a model supports skills, you can use Flux 3 Generate with it — GPT, Claude, Gemini, Grok, DeepSeek, Mistral, Llama and more — all on TypingMind with your own API keys.

Is the Flux 3 Generate AI skill free?

Yes. It is published on GitHub by black-forest-labs under the MIT license. You only pay your own AI provider for the tokens you use.

What are AI skills?

An AI skill is a reusable instruction bundle that teaches an AI model how to do one specific task. It follows the open Agent Skills format: a SKILL.md file with a name and description, plus any scripts, templates or reference files the model may need. The model reads the instructions only when your request matches the skill, so an installed skill costs nothing until it is used.

How are AI skills different from plugins or MCP servers?

A plugin or MCP server gives a model new tools to call — code that runs somewhere and returns a result. An AI skill gives the model knowledge and process instead: how to approach a task, which steps to follow, what good output looks like. Skills are plain Markdown, so they need no server, no API key and no runtime, and they work with any model.

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