Readable layout
---
name: flux-2-klein
displayName: "Flux 2 Klein — Pro Pack on RunComfy"
description: >
Generate images with Flux 2 Klein (Black Forest Labs' distilled fast
variant of Flux 2) 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 2 Klein's strengths
(sub-second latency, multi-reference brand styling, declarative
subject-first prompts), the step-count strategy (4–8 for fast
iteration, ~25 for polish), the 9B vs 4B variant trade-off, and when
to route to Flux 2 Pro / Seedream 5 / GPT Image 2 instead. Calls
`runcomfy run blackforestlabs/flux-2-klein/9b/text-to-image` (or
`/4b/`) through the local RunComfy CLI. Triggers on "flux 2 klein",
"flux-2-klein", "flux klein", "BFL flux 2", or any explicit ask to
generate with this model.
homepage: https://www.runcomfy.com
license: MIT
---
# Flux 2 Klein — Pro Pack on RunComfy
[runcomfy.com](https://www.runcomfy.com/?utm_source=skills.sh&utm_medium=skill&utm_campaign=flux-2-klein) · [9B model](https://www.runcomfy.com/models/blackforestlabs/flux-2-klein/9b/text-to-image?utm_source=skills.sh&utm_medium=skill&utm_campaign=flux-2-klein) · [4B model](https://www.runcomfy.com/models/blackforestlabs/flux-2-klein/4b/text-to-image?utm_source=skills.sh&utm_medium=skill&utm_campaign=flux-2-klein) · [GitHub](https://github.com/agentspace-so/runcomfy-skills/tree/main/flux-2-klein)
Black Forest Labs' **Flux 2 Klein** (the distilled, low-latency variant of Flux 2) hosted on the **RunComfy Model API** — no API key, async REST.
```bash
npx skills add agentspace-so/runcomfy-skills --skill flux-2-klein -g
```
## When to pick this model (vs siblings)
Flux 2 Klein's distinct strength is **latency-first creative iteration**: sub-second feedback enables live art-direction sessions and rapid product visualization that batch-style models can't sustain. Pick it when **iteration speed matters more than ceiling resolution**.
| You want | Use |
|---|---|
| Real-time / live art-direction sessions | **Flux 2 Klein 4B** |
| Fast iteration with strong detail at the end | **Flux 2 Klein 9B** |
| Multi-reference brand styling with consistent looks | **Flux 2 Klein** |
| 2K–4K hero images, max resolution | Seedream 5 |
| Maximum prompt adherence + extreme detail | Flux 2 Pro |
| Embedded text, logos, multilingual signage | GPT Image 2 |
| Hyperrealistic portrait | Nano Banana Pro |
If the user said "Flux 2 Klein" / "BFL Klein" / "flux klein" explicitly, route here regardless. If they said "Flux 2" generically, ask whether they want **Klein** (fast) or **Pro** (max quality) before defaulting.
## Prerequisites
1. **RunComfy CLI** — `npm i -g @runcomfy/cli`
2. **RunComfy account** — `runcomfy login` opens a browser device-code flow.
3. **CI / containers** — set `RUNCOMFY_TOKEN=` instead of `runcomfy login`.
## Endpoints + input schema
Two variants, same endpoint shape, same prompt grammar.
### `blackforestlabs/flux-2-klein/9b/text-to-image`
The fidelity-first variant. Use for polish / final output.
| Field | Type | Required | Default | Notes |
|---|---|---|---|---|
| `prompt` | string | yes | — | Up to ~512 tokens. Longer degrades. |
| `steps` | int | no | 25 | 4–50. **Step-distilled architecture** — 4–8 enough for concepting; ~25 for polish; >25 buys little. |
| `width` | int | no | 1024 | 512–1536 typical. **Aspect ratio capped at 16:9**, max ~2K total. |
| `height` | int | no | 1024 | Match `width`'s aspect intent. |
### `blackforestlabs/flux-2-klein/4b/text-to-image`
The latency-first variant. Sub-second 4-step inference. Use for live iteration / concepting.
Same field set as 9B. Default `steps` is effectively 4 — the variant is built for that step count.
### Reference images (both variants)
Up to **4 simultaneous reference images** are supported on the same endpoint for style transfer / guided composition. The exact field name in the JSON body is documented on the [model's API tab](https://www.runcomfy.com/models/blackforestlabs/flux-2-klein/9b/text-to-image?utm_source=skills.sh&utm_medium=skill&utm_campaign=flux-2-klein) — pass it through the CLI verbatim. Reference-image use enables editing-style workflows without a separate `/edit` endpoint.
## How to invoke
**Fast concepting (4B, sub-second):**
```bash
runcomfy run blackforestlabs/flux-2-klein/4b/text-to-image \
--input '{"prompt": ""}' \
--output-dir
```
**Polish / final (9B, ~25 steps):**
```bash
runcomfy run blackforestlabs/flux-2-klein/9b/text-to-image \
--input '{
"prompt": "",
"steps": 25,
"width": 1024,
"height": 1024
}' \
--output-dir
```
**Wide-format poster:**
```bash
runcomfy run blackforestlabs/flux-2-klein/9b/text-to-image \
--input '{"prompt": "", "width": 1536, "height": 864}' \
--output-dir
```
The CLI submits, polls every 2s until terminal, then downloads any `*.runcomfy.net` / `*.runcomfy.com` URL from the result into `--output-dir`. Stdout is the result JSON. Stderr is progress.
For pipe-friendly usage:
```bash
runcomfy --output json run blackforestlabs/flux-2-klein/4b/text-to-image \
--input '{"prompt":"..."}' --no-wait | jq -r .request_id
```
## Prompting — what actually works
These are model-specific patterns that empirically improve output quality.
**Subject-first declarative grammar.** The structure Flux 2 Klein was trained on is *"Subject + action + scene + style + lighting + camera + quality"*. Front-load the subject; trail with directives. Example: `"A vibrant hummingbird mid-flight sipping nectar from a bright pink hibiscus, iridescent feathers in morning sun, soft bokeh tropical garden, macro photography, razor-sharp detail, cinematic lighting"`.
**Specificity wins over flowery language.** "4k product photo, softbox lighting, reflective table, 35mm, f/2.8" guides predictably. "A really pretty product image" doesn't.
**Step-count by phase.**
- **Concepting**: 4–8 steps on the 4B variant — sub-second feedback for live exploration.
- **Refinement**: 8–15 steps still on 4B, locking in subject + framing.
- **Polish**: ~25 steps on the 9B variant — texture, microdetail, fine typography.
**Multi-reference alignment.** When passing reference images, **keep their aesthetics aligned**. Mixing a watercolor + a photoreal + a 3D render in the same call confuses the editor. Pick one consistent visual register across all refs.
**Conditional edits**: state what stays, then what changes. *"Same composition and lighting as reference, but change the background from beach to mountain studio."* This pattern holds composition stable.
**For text rendering** (Klein has the 8B Qwen3 embedder, decent but not GPT Image 2 territory): add `"crisp typography, high-contrast label"` and bump steps to ~25 if the text comes out soft. For heavy in-image text or multilingual rendering, route to GPT Image 2 instead.
**Anti-patterns**:
- Don't conflict adjectives. "minimalist + ornate" cancels.
- Don't exceed ~512 tokens. The model degrades, doesn't truncate gracefully.
- Don't ask for 4K — the model's resolution ceiling is ~2K.
- Don't ask for ultra-wide (>16:9) — the model crops.
## Where it shines
| Use case | Why Flux 2 Klein |
|---|---|
| **Live art-direction sessions** | Sub-second feedback (4B) enables real-time iteration |
| **Interactive product visualization** | Fast UI previews and product comps without batch waits |
| **Multi-reference brand styling** | Strong style consistency across references for unified asset packs |
| **Rapid concepting → polish workflow** | 4B for exploration, 9B for the final pass — same prompt grammar throughout |
| **Consumer-GPU-friendly inference** | 4B variant runs on modest hardware; relevant for self-host comparisons but RunComfy-hosted is fine |
## Sample prompts (verified to produce strong results)
**From the model page (BFL example):**
```
A vibrant hummingbird mid-flight sipping nectar from a bright pink hibiscus
flower, iridescent emerald and sapphire feathers catching the morning sun,
soft bokeh tropical garden background, macro photography, razor-sharp
detail, cinematic lighting
```
**Product-photo pattern:**
```
A matte ceramic mug on a reclaimed-wood table, soft northern window light
from the left, shallow depth of field, 50mm prime, f/2.0, neutral
background, e-commerce ready, 4K product photography
```
**Brand-consistent pair (multi-ref):**
```
Same composition and lighting as the reference image, but the bottle
label is now blue with white sans-serif typography reading "AURA";
keep the bottle silhouette, table, and shadow exactly as in the reference
```
## Limitations
- **Resolution ceiling ~2K** — for higher native res, route to Seedream 5.
- **Aspect ratio cap 16:9** — extreme wide/tall ratios get cropped.
- **Prompt cap ~512 tokens** — longer degrades quality; doesn't truncate gracefully.
- **Reference image cap 4** — more than 4 increases latency and dilutes guidance.
- **Text rendering** — the 8B Qwen3 embedder helps but GPT Image 2 still wins for embedded text precision.
## Exit codes
The `runcomfy` CLI uses sysexits-style codes:
| code | meaning |
|---|---|
| 0 | success |
| 64 | bad CLI args |
| 65 | bad input JSON / schema mismatch (e.g. `width: 4096` would 422) |
| 69 | upstream 5xx |
| 75 | retryable: timeout / 429 |
| 77 | not signed in or token rejected |
Full reference: [docs.runcomfy.com/cli/troubleshooting](https://docs.runcomfy.com/cli/troubleshooting?utm_source=skills.sh&utm_medium=skill&utm_campaign=flux-2-klein).
## How it works
1. The skill invokes `runcomfy run blackforestlabs/flux-2-klein//text-to-image` with a JSON body matching the schema.
2. The CLI POSTs to `https://model-api.runcomfy.net/v1/models/blackforestlabs/flux-2-klein//text-to-image` with the user's bearer token.
3. The Model API returns a `request_id`; the CLI polls `GET .../requests//status` every 2 seconds.
4. On terminal status, the CLI fetches `GET .../requests//result` and downloads any URL whose host ends with `.runcomfy.net` or `.runcomfy.com` into `--output-dir`. Other URLs are listed but not fetched.
5. `Ctrl-C` while polling sends `POST .../requests//cancel` so you don't get billed for GPU you stopped.
## What this skill is not
Not a self-hosted Flux runner. Not a capability grant — depends on a working RunComfy account. Not multi-tenant.
## 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.
