wangyuandHuang, Zeyu
6f2ad7b403
Signed-off-by: wangyu <410167048@qq.com> Signed-off-by: Huang, Zeyu <11222265+fhfuih@users.noreply.github.com> Signed-off-by: wangyu <53896905+yenuo26@users.noreply.github.com> Co-authored-by: Huang, Zeyu <11222265+fhfuih@users.noreply.github.com>
68 lines
2.0 KiB
Python
68 lines
2.0 KiB
Python
# SPDX-License-Identifier: Apache-2.0
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# SPDX-FileCopyrightText: Copyright contributors to the vLLM project
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"""
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Tests for FluxKontext model pipeline.
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FluxKontext is a text-to-image and image-to-image diffusion model that supports:
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- Text-to-image generation
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- Image editing with text guidance
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"""
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from __future__ import annotations
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import pytest
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from vllm.assets.image import ImageAsset
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from tests.helpers.runtime import OmniRunnerHandler
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from vllm_omni.diffusion.data import DiffusionParallelConfig
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from vllm_omni.inputs.data import OmniDiffusionSamplingParams
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MODEL = "black-forest-labs/FLUX.1-Kontext-dev"
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_OMNI_RUNNER_PARAM = (
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MODEL,
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None,
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{
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"parallel_config": DiffusionParallelConfig(tensor_parallel_size=2),
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"enable_cpu_offload": False,
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},
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)
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pytestmark = [
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pytest.mark.full_model,
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pytest.mark.diffusion,
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pytest.mark.parametrize("omni_runner", [_OMNI_RUNNER_PARAM], indirect=True),
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]
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def _sampling_512() -> OmniDiffusionSamplingParams:
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return OmniDiffusionSamplingParams(
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height=512,
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width=512,
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num_inference_steps=2,
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seed=42,
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)
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def test_flux_kontext_text_to_image(omni_runner_handler: OmniRunnerHandler):
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"""Test FluxKontext text-to-image generation with real model."""
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request_config = {
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"model": MODEL,
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"prompt": "A photo of a cat sitting on a laptop",
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"sampling_params": _sampling_512(),
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}
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omni_runner_handler.send_diffusion_request(request_config)
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def test_flux_kontext_image_edit(omni_runner_handler: OmniRunnerHandler):
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"""Test FluxKontext image-to-image editing with real model."""
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input_image = ImageAsset("2560px-Gfp-wisconsin-madison-the-nature-boardwalk").pil_image.convert("RGB")
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request_config = {
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"prompt": "Transform this image into a Vincent van Gogh style painting",
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"multi_modal_data": {"img2img": input_image},
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"modalities": ["img2img"],
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"sampling_params": _sampling_512(),
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}
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omni_runner_handler.send_diffusion_request(request_config)
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