""" End-to-end diffusion coverage for FLUX.2-dev in online serving mode. Coverage: - CPU offload - Ulysses sequence parallelism - Ring sequence parallelism This test verifies that FLUX.2-dev can be launched with CPU offload enabled, accepts text-to-image requests through the OpenAI-compatible API, and returns valid generated images with the requested resolution. assert_diffusion_response validates successful generation and the expected image resolution. """ import pytest from tests.helpers.mark import hardware_marks from tests.helpers.runtime import OmniServer, OmniServerParams, OpenAIClientHandler, dummy_messages_from_mix_data pytestmark = [pytest.mark.diffusion, pytest.mark.full_model] MODEL = "black-forest-labs/FLUX.2-dev" PROMPT = "A cinematic mountain landscape at sunrise, dramatic clouds, ultra-detailed, realistic photography." NEGATIVE_PROMPT = "low quality, blurry, distorted, deformed, watermark" SINGLE_CARD_FEATURE_MARKS = hardware_marks(res={"cuda": "H100"}) PARALLEL_FEATURE_MARKS = hardware_marks(res={"cuda": "H100"}, num_cards=2) def _get_flux_2_dev_feature_cases(model: str): """Return FLUX.2-dev diffusion feature cases for CPU offload and SP.""" return [ pytest.param( OmniServerParams( model=model, server_args=[ "--enable-cpu-offload", ], ), id="cpu_offload", marks=SINGLE_CARD_FEATURE_MARKS, ), pytest.param( OmniServerParams( model=model, server_args=[ "--enable-cpu-offload", "--cfg-parallel-size", "2", ], ), id="parallel_cfg_2", marks=PARALLEL_FEATURE_MARKS, ), pytest.param( OmniServerParams( model=model, server_args=[ "--enable-cpu-offload", "--ulysses-degree", "2", ], ), id="ulysses_2", marks=PARALLEL_FEATURE_MARKS, ), pytest.param( OmniServerParams( model=model, server_args=[ "--enable-cpu-offload", "--ring-degree", "2", ], ), id="ring_2", marks=PARALLEL_FEATURE_MARKS, ), ] @pytest.mark.parametrize( "omni_server", _get_flux_2_dev_feature_cases(MODEL), indirect=True, ) def test_flux_2_dev( omni_server: OmniServer, openai_client: OpenAIClientHandler, ): """Validate FLUX.2-dev online serving with CPU offload.""" messages = dummy_messages_from_mix_data(content_text=PROMPT) request_config = { "model": omni_server.model, "messages": messages, "extra_body": { "height": 512, "width": 512, "num_inference_steps": 2, "negative_prompt": NEGATIVE_PROMPT, "true_cfg_scale": 4.0, "seed": 42, }, } openai_client.send_diffusion_request(request_config)