69 lines
2.2 KiB
Python
69 lines
2.2 KiB
Python
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"""
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Recommended tests of diffusion features that are available in online serving mode
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and are supported by the following model:
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- LongCat-Image-Edit: image-to-image edit with a single image + single edit prompt input
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Coverage:
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- CPU offloading (model-level sequential offload via --enable-cpu-offload)
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- Cache-DiT
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- SP (Ulysses)
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This validates:
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- Successful image generation at the expected 1024x1024 resolution with recommended feature combinations
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"""
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import pytest
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from tests.helpers.mark import hardware_marks
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from tests.helpers.media import generate_synthetic_image
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from tests.helpers.runtime import (
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OmniServer,
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OmniServerParams,
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OpenAIClientHandler,
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dummy_messages_from_mix_data,
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)
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EDIT_PROMPT = "Transform this modern image into a cinematic animation style with vibrant colors and soft lighting."
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NEGATIVE_PROMPT = "blurry, low quality, distorted, oversaturated"
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SINGLE_CARD_FEATURE_MARKS = hardware_marks(res={"cuda": "H100"})
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def _get_diffusion_feature_cases(model: str):
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"""Return diffusion feature cases for LongCat-Image-Edit."""
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return [
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pytest.param(
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OmniServerParams(
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model=model,
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),
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id="default",
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marks=SINGLE_CARD_FEATURE_MARKS,
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)
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]
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@pytest.mark.advanced_model
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@pytest.mark.core_model
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@pytest.mark.diffusion
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@pytest.mark.parametrize(
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"omni_server",
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_get_diffusion_feature_cases("meituan-longcat/LongCat-Image-Edit"),
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indirect=True,
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)
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def test_longcat_image_edit(omni_server: OmniServer, openai_client: OpenAIClientHandler):
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"""Test the recommended feature combinations for LongCat-Image-Edit."""
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image_data_url = f"data:image/jpeg;base64,{generate_synthetic_image(512, 512)['base64']}"
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messages = dummy_messages_from_mix_data(image_data_url=image_data_url, content_text=EDIT_PROMPT)
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request_config = {
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"model": omni_server.model,
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"messages": messages,
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"extra_body": {
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"height": 1024,
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"width": 1024,
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"num_inference_steps": 2,
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"negative_prompt": NEGATIVE_PROMPT,
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"guidance_scale": 4.0,
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"seed": 42,
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},
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}
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openai_client.send_diffusion_request(request_config)
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