FLUX.2-Turbo

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-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 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")