46 lines
2.1 KiB
Python
46 lines
2.1 KiB
Python
from mflux import ModelConfig
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from tests.helpers.image_generation_controlnet_test_helper import ImageGeneratorControlnetTestHelper
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class TestImageGeneratorControlnet:
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OUTPUT_IMAGE_FILENAME = "output.png"
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CONTROLNET_REFERENCE_FILENAME = "controlnet_reference.png"
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def test_image_generation_schnell_controlnet(self):
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ImageGeneratorControlnetTestHelper.assert_matches_reference_image(
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reference_image_path="reference_controlnet_schnell.png",
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output_image_path=TestImageGeneratorControlnet.OUTPUT_IMAGE_FILENAME,
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controlnet_image_path=TestImageGeneratorControlnet.CONTROLNET_REFERENCE_FILENAME,
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model_config=ModelConfig.FLUX1_SCHNELL,
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steps=2,
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seed=43,
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prompt="The joker with a hat and a cane",
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controlnet_strength=0.4,
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)
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def test_image_generation_dev_controlnet(self):
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ImageGeneratorControlnetTestHelper.assert_matches_reference_image(
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reference_image_path="reference_controlnet_dev.png",
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output_image_path=TestImageGeneratorControlnet.OUTPUT_IMAGE_FILENAME,
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controlnet_image_path=TestImageGeneratorControlnet.CONTROLNET_REFERENCE_FILENAME,
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model_config=ModelConfig.FLUX1_DEV,
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steps=15,
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seed=42,
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prompt="The joker with a hat and a cane",
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controlnet_strength=0.4,
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)
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def test_image_generation_dev_lora_controlnet(self):
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ImageGeneratorControlnetTestHelper.assert_matches_reference_image(
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reference_image_path="reference_controlnet_dev_lora.png",
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output_image_path=TestImageGeneratorControlnet.OUTPUT_IMAGE_FILENAME,
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controlnet_image_path=TestImageGeneratorControlnet.CONTROLNET_REFERENCE_FILENAME,
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model_config=ModelConfig.FLUX1_DEV,
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steps=15,
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seed=43,
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prompt="mkym this is made of wool, The joker with a hat and a cane",
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lora_paths=["FLUX-dev-lora-MiaoKa-Yarn-World.safetensors"],
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lora_scales=[1.0],
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controlnet_strength=0.4,
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)
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