---
language:
- en
license: other
license_name: flux-dev-non-commercial-license
license_link: https://huggingface.co/black-forest-labs/FLUX.2-dev/blob/main/LICENSE.txt
base_model: black-forest-labs/FLUX.2-dev
tags:
- image-generation
- flux
- lora
- distillation
- turbo
pipeline_tag: text-to-image
library_name: diffusers
---

# FLUX.2 [dev] Turbo LoRA

**FLUX.2 [dev] Turbo** is a distilled LoRA adapter for [FLUX.2 [dev]](https://huggingface.co/black-forest-labs/FLUX.2-dev) that enables high-quality image generation in just **8 inference steps**.

![Example Text-to-Image](./example_t2i.png)
---

---

![Example Image Editing](./example_edit.png)

## Key Features

- ⚡ **8-step inference** — 6x faster than the base model's typical 50 steps
- 🎨 **Quality preserved** — Matches or surpasses the original FLUX.2 [dev] quality
- 🔌 **LoRA adapter** — Lightweight, easy to integrate with existing FLUX.2 workflows
- 🖼️ **Multiple modes** — Supports both text-to-image and image editing


## Hosted API Endpoints

FLUX.2 [dev] Turbo is available through fal.ai hosted endpoints:
- [Text-to-Image](https://fal.ai/models/fal-ai/flux-2/turbo)
- [Image Editing](https://fal.ai/models/fal-ai/flux-2/turbo/edit)


## ComfyUI

ComfyUI-compatible weights are available in the `comfy/` directory, converted by [ByteZSzn](https://huggingface.co/ByteZSzn/Flux.2-Turbo-ComfyUI).


## Usage

```python
import torch
from diffusers import Flux2Pipeline

# Pre-shifted custom sigmas for 8-step turbo inference
TURBO_SIGMAS = [1.0, 0.6509, 0.4374, 0.2932, 0.1893, 0.1108, 0.0495, 0.00031]

pipe = Flux2Pipeline.from_pretrained(
    "black-forest-labs/FLUX.2-dev", 
    torch_dtype=torch.bfloat16
).to("cuda")

pipe.load_lora_weights(
    "fal/FLUX.2-dev-Turbo", 
    weight_name="flux.2-turbo-lora.safetensors"
)

prompt = "Industrial product shot of a chrome turbocharger with glowing hot exhaust manifold, engraved text 'FLUX.2 [dev] Turbo by fal' on the compressor housing and 'fal' on the turbine wheel, gradient heat glow from orange to electric blue , studio lighting with dramatic shadows, shallow depth of field, engineering blueprint pattern in background."

image = pipe(
    prompt=prompt,
    sigmas=TURBO_SIGMAS,
    guidance_scale=2.5,
    height=1024,
    width=1024,
    num_inference_steps=8,
).images[0]

image.save("output.png")
```

## License

This model inherits the [FLUX [dev] Non-Commercial License](https://huggingface.co/black-forest-labs/FLUX.2-dev/blob/main/LICENSE.txt) from the base model.