FLUX 2 Flex by Black Forest Labs — adjustable inference steps and guidance scale for fine control. Enhanced text rendering. $0.05/MP.
Multiple FLUX 2 variants for different quality, speed, and control trade-offs — all on the same Runflow API.
Production-grade — zero-config, automatic prompt upsampling, $0.03/MP
Adjustable inference steps and guidance scale for fine control, $0.05/MP
Maximum quality variant — highest fidelity in the FLUX 2 family
Speed-optimised — lowest latency for real-time and preview workflows
Every model on Runflow is scored per vertical — not generic leaderboard numbers. Scores come from domain-expert evaluation on real production prompts.
| Use Case | Assessment | Notes |
|---|---|---|
| Portrait | Strong | Fine-tunable inference for optimal skin detail and lighting |
| Fashion | Strong | Good style versatility across artistic and photographic domains |
| Product | Strong | Accurate rendering with tuneable quality/speed trade-off |
| Creative | Strong | Enhanced typography and text rendering accuracy |
| Quality | Output Size | Megapixels | Price |
|---|---|---|---|
| 512 × 512 | 0.26 MP → rounds to 1 | $0.05 | |
| 1024 × 1024 | 1 MP | $0.05 | |
| 1920 × 1080 | ~2 MP | $0.10 |
$0.05 per megapixel on both input and output, rounded up to nearest megapixel. Cold starts (5–10s) not billed.
Full parameter reference for the flux-2-flex model endpoint.
| Parameter | Type | Description |
|---|---|---|
| prompt | string | Text description of the image to generate. |
| image_size | object | string | Output size. Presets: square_hd, square, portrait_4_3, portrait_16_9, landscape_4_3, landscape_16_9. Or custom {width, height}. Default: landscape_4_3. |
| guidance_scale | float | How closely the model follows the prompt. Range: 1.5–10. Default: 3.5. |
| num_inference_steps | integer | Number of denoising steps. Range: 2–50. Default: 28. 10–20 for drafts, 40–50 for final quality. |
| output_format | string | Output format. Options: "jpeg", "png". Default: "jpeg". |
| safety_tolerance | string | Content moderation strictness. 1 = most strict, 5 = most permissive. Default: 2. |
| enable_safety_checker | boolean | Enable NSFW content filtering. Default: true. |
| seed | integer | Random seed for reproducible outputs. |
| sync_mode | boolean | Return media as data URI without storing in request history. Default: false. |
Flux AI models are available on many platforms. Here's what makes the Runflow image generation API different.
Adjust guidance_scale (1.5–10) and num_inference_steps (2–50) to fine-tune the quality/speed trade-off per request.
FLUX 2 Flex has improved typography and text rendering accuracy — ideal for generating images with legible signage, labels, or overlays.
Use 10–20 steps for fast prototyping and previews, 25–28 for balanced production runs, and 40–50 for maximum fidelity final outputs.
Supports JSON-structured prompts for granular scene control, HEX colour codes, and @ symbol image referencing for multi-image workflows.
Every output is scored by Runflow's Sentinel system before delivery, catching low-quality or off-prompt results automatically.
Real production use cases teams run on FLUX 2 Flex today.
Finalise ad creatives with promotional copy, price tags, and CTAs baked directly into the image — preserving fine product details underneath.
Generate text-heavy visuals like title cards, credit sequences, and poster typography where every letterform needs to be sharp and legible.
Offer a specialised text-placement model as part of a pro or premium subscription tier, handling higher quotas for users who need reliable typography.
Swap out offer copy, prices, and language on restaurant and delivery ad templates daily — instant localisation without a designer in the loop.
Same API, different strengths. Switch models with one parameter change.
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Get API access in minutes. No GPU setup, no infrastructure to manage. Pair with Sentinel to control the quality of every AI-generated image you ship.