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[diffusion] default 4-step inference for Flux2-Klein distilled models #17225

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Merged
mickqian merged 2 commits into from
Jan 18, 2026
Merged

[diffusion] default 4-step inference for Flux2-Klein distilled models #17225

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d58e0d2
[diffusion] minor modify for FLUX.2-klein
RuixiangMa Jan 16, 2026
5d3bb28
Merge branch 'sgl-project:main' into minoroptFlux2Klein
RuixiangMa Jan 16, 2026
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6 changes: 6 additions & 0 deletions python/sglang/multimodal_gen/configs/sample/flux.py
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Original file line number Diff line number Diff line change
Expand Up @@ -20,3 +20,9 @@ def __post_init__(self):
# FIXME
# self.height = default_sample_size * vae_scale_factor
# self.width = default_sample_size * vae_scale_factor


@dataclass
class Flux2KleinSamplingParams(FluxSamplingParams):
# Klein is step-distilled, so default to 4 steps
num_inference_steps: int = 4
7 changes: 5 additions & 2 deletions python/sglang/multimodal_gen/registry.py
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Expand Up @@ -61,7 +61,10 @@
Wan2_2_T2V_A14B_Config,
Wan2_2_TI2V_5B_Config,
)
from sglang.multimodal_gen.configs.sample.flux import FluxSamplingParams
from sglang.multimodal_gen.configs.sample.flux import (
Flux2KleinSamplingParams,
FluxSamplingParams,
)
from sglang.multimodal_gen.configs.sample.glmimage import GlmImageSamplingParams
from sglang.multimodal_gen.configs.sample.hunyuan import (
FastHunyuanSamplingParam,
Expand Down Expand Up @@ -538,7 +541,7 @@ def _register_configs():
model_detectors=[lambda hf_id: "flux.1" in hf_id.lower()],
)
register_configs(
sampling_param_cls=FluxSamplingParams,
sampling_param_cls=Flux2KleinSamplingParams,
pipeline_config_cls=Flux2KleinPipelineConfig,
hf_model_paths=[
"black-forest-labs/FLUX.2-klein-4B",
Expand Down
21 changes: 21 additions & 0 deletions python/sglang/multimodal_gen/test/server/perf_baselines.json
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Expand Up @@ -304,6 +304,27 @@
"expected_avg_denoise_ms": 520.09,
"expected_median_denoise_ms": 528.0
},
"flux_2_klein_image_t2i": {
"stages_ms": {
"InputValidationStage": 0.05,
"TextEncodingStage": 530.93,
"ImageVAEEncodingStage": 0.0,
"ConditioningStage": 0.02,
"LatentPreparationStage": 12.71,
"TimestepPreparationStage": 2.91,
"DenoisingStage": 2112.24,
"DecodingStage": 489.8
},
"denoise_step_ms": {
"0": 511.3,
"1": 541.19,
"2": 518.93,
"3": 541.2
},
"expected_e2e_ms": 3148.75,
"expected_avg_denoise_ms": 528.06,
"expected_median_denoise_ms": 526.56
},
"flux_2_image_t2i_layerwise_offload": {
"stages_ms": {
"InputValidationStage": 0.06,
Expand Down
8 changes: 8 additions & 0 deletions python/sglang/multimodal_gen/test/server/testcase_configs.py
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Expand Up @@ -349,6 +349,14 @@ def from_req_perf_record(
),
T2I_sampling_params,
),
DiffusionTestCase(
"flux_2_klein_image_t2i",
DiffusionServerArgs(
model_path="black-forest-labs/FLUX.2-klein-4B",
modality="image",
),
T2I_sampling_params,
),
# TODO: replace with a faster model to test the --dit-layerwise-offload
# TODO: currently, we don't support sending more than one request in test, and setting `num_outputs_per_prompt` to 2 doesn't guarantee the denoising be executed twice,
# so we do one warmup and send one request instead
Expand Down
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