No — Black Forest Labs (FLUX) is operational
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AIWatch Data: Black Forest Labs (FLUX)'s reported uptime is 100.00%. Based on AIWatch data from the last 30 days, it experienced 1 incident with an average recovery time of 1 minutes.
Black Forest Labs develops the FLUX family of image-generation models (FLUX.1, FLUX.1 Kontext, FLUX.2) and provides API access at api.bfl.ai for text-to-image generation, editing, and finetuning. FLUX is widely used in creative tools, design apps, and content-generation pipelines.
AIWatch Insight: Black Forest Labs publishes per-model-tier status (FLUX.1 [pro]/[dev], Kontext, FLUX.2) on its Atlassian status page. AIWatch scopes the badge to the developer-facing API surface and the overall image-generation group, so a single model-tier blip does not flip the service status unless the API or the whole image group degrades.
When FLUX is down, apps generating or editing images via api.bfl.ai will fail. Creative pipelines and design tools that integrate the FLUX API lose their generation capability until service recovers.
This page provides real-time status, uptime history, and recent incident details — updated every 5 minutes by AIWatch.
Is FLUX down right now?
Check the live status indicator at the top of this page. AIWatch monitors Black Forest Labs every 5 minutes and shows real-time operational status.
Why is the FLUX API failing?
Black Forest Labs may be experiencing high demand, specific model-tier degradation, or upstream infrastructure issues. Check this page for active incidents.
What are alternatives to FLUX?
Based on current AIWatch data, Stability AI (Score: 74) and Langfuse (Score: 83) are the most reliable alternatives right now. For image generation, Stability AI provides the Stable Diffusion API, Replicate hosts FLUX and other image models, and OpenAI provides image generation via the API. AIWatch shows current availability.
How do I check Black Forest Labs status?
You can check FLUX status on this page, on the official Black Forest Labs status page at status.bfl.ml, or on the AIWatch dashboard at ai-watch.dev.