official black-forest-labs/flux repository, model.py and Schnell model card
BFL / RECTIFIED FLOW / 2024
FLUX.1 [schnell]
TOTAL≈11.9Bparameters
ACTIVE≈11.9B / stepper denoise step
DEPTH19 + 38repeated blocks
HIDDEN3,072main trunk
CONTEXT1024²max canvas
CHECKPOINT≈23.8GB3 shards · Apache-2.0
INPUT1024²IMAGE CANVAS
TRANSFORMER STACK19 DOUBLE + 38 SINGLEseparate text/image streams → concatenated multimodal stream
Modulated Residual
++
OUTPUT1024²DENOISE STEPS
wraps every repeated block
JOINT MULTIMODAL ATTENTION · DISTILLED RECTIFIED FLOW少步采样改变了大主干的实际总计算,不应只看单步参数量。
Flow Transformer预测从噪声到数据的流场而非 U-Net epsilon。
DOUBLE19Ltwo streams
SINGLE38Ljoint stream
HIDDEN3,072main
HEADS24attention
STEPS1–4Schnell
PARAMS≈11.9Btransformer