Welcome FLUX.3 Image Klein in Diffusers
Black Forest Labs has introduced FLUX.3 Image Klein, now available in Diffusers. This model supports both text-to-image and multi-reference image-to-image generation. A key new feature is "layout control," which allows users to define bounding boxes in prompts to specify object placement or to move parts of a reference image. This enables precise manipulation of image elements, as demonstrated by moving a "miniature grey amigurumi knight" within an image while preserving other elements.
Time & source
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PublishedOffset at this time: UTC+0Oct 15, 2026, 00:00 UTC
IngestedOffset at this time: UTC+0Oct 15, 2026, 16:00 UTC
- Published
- Oct 15, 2026, 00:00
- Ingested
- Oct 15, 2026, 16:00
- Source type
- Official
- Tier
- First-party
- Source status
- Healthy
Tier is a per-source editorial setting, not a per-item score.
Discussion trend
The percentage is based on collected discussion signal, not new comments or independent people. The curve only compares the same topic across time.
Black Forest Labs FLUX.3 Image Klein is here, and it runs in Diffusers from day one. One model does text-to-image and multi-reference image-to-image, and it adds something new, the layout control. You write bounding boxes into the prompt to say where each part of the image should go, or which parts of a reference image to move.
Both open checkpoints are in the FLUX.3 Image Klein collection :
Checkpoint What it is Defaults
black-forest-labs/flux-3-image-klein Time step distilled, for fast inference 16 steps, no CFG
black-forest-labs/flux-3-image-klein-base Base model 50 steps, CFG
You can head on to the Hugging Face space and generate some images right now!
TL;DR
- One model for text-to-image, multi-reference image-to-image, and bounding-box layout control.
- The distilled checkpoint makes a 1024 × 1024 image in about 2 seconds on an H100.
- NVFP4 and FP8 weights load with from_single_file, for smaller GPUs.
- LoRA training scripts for both text-to-image and image editing.
- Ships as a Modular Diffusers pipeline, so you can pop blocks out or add your own.
Contents
- Getting started
- What FLUX.3 can do
- Base model and quantized variants
- LoRA finetuning
- What it costs to run
- The architecture
- Modular Diffusers
- Try it
Getting started
Install the latest diffusers and transformers (for the Qwen3-VL text encoder):
pip install -U diffusers transformers