flux-kontext

Q: How do I install flux-kontext?

Run npx skills add https://github.com/prime-skills/runcomfy-agent-skills --skill flux-kontext in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/flux-kontext/ (personal) or .claude/skills/flux-kontext/ (project).

by prime-skillsMedia & Creative

Edit images with Flux 1 Kontext Pro (Black Forest Labs' precise local image-edit model) on RunComfy — bundled with the model's documented prompting patterns so the skill gets sharper output than naive prompting against the same model. Documents Flux Kontext's strengths (single-reference precise local edits, strong prompt control, consistent high-fidelity outputs), the schema (single image + prompt), and when to route to Nano Banana Edit / GPT Image 2 edit / Flux 2 Klein instead. Calls runcomfy run blackforestlabs/flux-1-kontext/pro/edit through the local RunComfy CLI. Triggers on "flux kontext", "flux-kontext", "flux 1 kontext", "kontext", "BFL kontext", or any explicit ask to edit with this model.

Installs: 437.4K
Last 24h: +524
Trending rank: #667
Security: Pass

Install

Works with every agent the skills CLI supports.

npx skills add https://github.com/prime-skills/runcomfy-agent-skills --skill flux-kontext

01
Install
Run the command in your project. The CLI asks which agents to install for.
02
Describe the task
Ask your agent for something this skill covers. It loads flux-kontext automatically when relevant.
03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.

Security audits

Independent scans of the skill's instructions and bundled files.

Gen Agent Trust Hub PassSAFE ·The skill provides a legitimate interface to the Flux 1 Kontext Pro image editing model via the RunComfy platform. It utilizes the official RunComfy CLI and follows industry-standard security practices for authentication and data handling.

Socket PassNo alerts

Snyk PassLOW ·Risk: LOW · No issues

SKILL.md

The instructions your agent reads when the skill is triggered.

Flux Kontext Pro — Pro Pack on RunComfy

runcomfy.com · Model page · GitHub

Black Forest Labs' Flux 1 Kontext Pro — single-reference precise local image edit — hosted on the RunComfy Model API. Strong prompt control, consistent outputs, high fidelity.

npx skills add agentspace-so/runcomfy-skills --skill flux-kontext -g

When to pick this model (vs siblings)

You want	Use
Single-image precise local edit ("she's now holding X")	Flux Kontext
High-fidelity preservation of source identity	Flux Kontext
Batch edits across 1–20 images	Nano Banana Edit
Edit multilingual / embedded text in image	GPT Image 2 edit
Generate from scratch, no source image	Flux 2 Klein

If the user said "Flux Kontext" / "kontext" / "BFL Kontext" explicitly, route here regardless.

Prerequisites

RunComfy CLI — npm i -g @runcomfy/cli
RunComfy account — runcomfy login opens a browser device-code flow.
CI / containers — set RUNCOMFY_TOKEN=<token> instead of runcomfy login.

Endpoints + input schema

`blackforestlabs/flux-1-kontext/pro/edit`

Field	Type	Required	Default	Notes
`prompt`	string	yes	—	Single declarative edit instruction.
`image`	string	yes	—	Single source image URL (publicly fetchable HTTPS).
`aspect_ratio`	enum	no	(input)	Pick from supported W:H options on the model page.
`seed`	int	no	—	Reuse for variant comparisons.

The schema is intentionally minimal — Kontext leans on prompt + single ref. For multi-image or web-grounded edits, route to Nano Banana Edit.

How to invoke

Default — local edit, preserve everything else:

runcomfy run blackforestlabs/flux-1-kontext/pro/edit \
  --input '{
    "prompt": "Keep the person'\''s face, pose, and clothing unchanged. Add an orange umbrella in her left hand and a slight smile.",
    "image": "https://.../portrait.jpg"
  }' \
  --output-dir <absolute/path>

With seed for reproducible variant series:

runcomfy run blackforestlabs/flux-1-kontext/pro/edit \
  --input '{
    "prompt": "Keep the bottle, label, and lighting unchanged. Replace the brand text on the label from \"ALPHA\" to \"AURA\".",
    "image": "https://.../bottle.jpg",
    "seed": 42
  }' \
  --output-dir <absolute/path>

Prompting — what actually works

One declarative instruction. Kontext shines on prompts shaped like the docs example: "She is now holding an orange umbrella and smiling". Imperative mood, single change.

Preservation first. Lead with "Keep [identity / pose / framing / brand] unchanged." Then the change. Models honor what's stated up front.

Single ref only — pick the right one. No multi-image fanout here. If you have multiple references, decide which is primary and pass that one. For multi-image flows, route to Nano Banana Edit.

Iterate on small changes. If Kontext drifts, split a compound edit into sequential single-instruction passes (pass 1: change background, pass 2: change clothing).

Aspect ratio — pick from the supported enum. Out-of-list values 422 or crop.

Anti-patterns:

Compound prompts ("change A and add B and remove C") → drift.
Trying to fan out to multiple source images → wrong model (use Nano Banana Edit).
Prompts written in passive voice → less reliable.
Asking for novel composition without a source image → wrong model (use Flux 2 Klein t2i).

Where it shines

Use case	Why Flux Kontext
Single-shot precise local edit	Specifically designed for this; high fidelity
Preserve source identity through targeted change	Strong preservation under explicit instruction
Brand-asset text or color swap	Quoted text + preservation lead-in works well
Quick iteration on one image	Short prompts + single ref = fast result loop

Sample prompts (verified to produce strong results)

Page example:

She is now holding an orange umbrella and smiling

Preservation-led brand edit:

Keep the bottle silhouette, table, and lighting exactly as in the input.
Replace only the brand text on the label, from "ALPHA" to "AURA".
Same font weight, white on black, centered.

Compositional micro-edit:

Keep the person's face, pose, and clothing unchanged. Add a leather
shoulder bag, dark brown, hanging on the right shoulder.

Limitations

Single source image only. For multi-image flows, use Nano Banana Edit (1–20).
Public RunComfy docs are minimal — schema fields beyond prompt + image + aspect_ratio + seed may exist; check the model page for the latest field list.
Compound prompts drift — split into sequential passes.
For multilingual / embedded text editing, GPT Image 2 edit usually wins.

Exit codes

code	meaning
0	success
64	bad CLI args
65	bad input JSON / schema mismatch
69	upstream 5xx
75	retryable: timeout / 429
77	not signed in or token rejected

Full reference: docs.runcomfy.com/cli/troubleshooting.

How it works

The skill invokes runcomfy run blackforestlabs/flux-1-kontext/pro/edit with a JSON body matching the schema. The CLI POSTs to https://model-api.runcomfy.net/v1/models/blackforestlabs/flux-1-kontext/pro/edit, polls the request, fetches the result, and downloads any .runcomfy.net/.runcomfy.com URL into --output-dir. Ctrl-C cancels the remote request before exit.

Security & Privacy

Token storage: runcomfy login writes the API token to ~/.config/runcomfy/token.json with mode 0600 (owner-only read/write). Set RUNCOMFY_TOKEN env var to bypass the file entirely in CI / containers.
Input boundary: the user prompt is passed as a JSON string to the CLI via --input. The CLI does NOT shell-expand the prompt; it transmits the JSON body directly to the Model API over HTTPS. No shell injection surface from prompt content.
Third-party content: image / mask / video URLs you pass are fetched by the RunComfy model server, not by the CLI on your machine. Treat external URLs as untrusted; image-based prompt injection is a known risk for any image-edit / video-edit model.
Outbound endpoints: only model-api.runcomfy.net (request submission) and *.runcomfy.net / *.runcomfy.com (download whitelist for generated outputs). No telemetry, no callbacks.
Generated-file size cap: the CLI aborts any single download > 2 GiB to prevent disk-fill from a malicious or runaway model output.

FAQ

What does the flux-kontext skill do?

How do I install flux-kontext?

Run npx skills add https://github.com/prime-skills/runcomfy-agent-skills --skill flux-kontext in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/flux-kontext/ (personal) or .claude/skills/flux-kontext/ (project).

Which AI agents can use flux-kontext?

Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.

Is flux-kontext safe to install?

Security partners have reviewed it: Gen Agent Trust Hub passed; Socket passed; Snyk passed. As with any skill, read the SKILL.md and bundled scripts before installing.

Who maintains flux-kontext?

It is published by prime-skills in prime-skills/runcomfy-agent-skills. It has 437,445 recorded installs.