59 lines
2.6 KiB
Python
59 lines
2.6 KiB
Python
from mflux.config.model_config import ModelConfig
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from mflux.models.qwen.variants.txt2img.qwen_image import QwenImage
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from tests.image_generation.helpers.image_generation_test_helper import ImageGeneratorTestHelper
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class TestImageGeneratorQwenImage:
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def test_qwen_image_generation_text_to_image(self):
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ImageGeneratorTestHelper.assert_matches_reference_image(
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reference_image_path="reference_qwen_txt2img.png",
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output_image_path="output_qwen_txt2img.png",
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model_class=QwenImage,
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model_config=ModelConfig.qwen_image(),
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quantize=6, # We should probably use at least 8-bit, but it doesn't run on 32GB machines
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steps=20,
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seed=42,
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height=341,
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width=768,
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prompt="Luxury food photograph",
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negative_prompt="ugly, blurry, low quality",
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mismatch_threshold=0.35, # Qwen models produce visually similar images with minor pixel differences
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)
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def test_qwen_image_generation_image_to_image(self):
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ImageGeneratorTestHelper.assert_matches_reference_image(
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reference_image_path="reference_qwen_img2img.png",
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output_image_path="output_qwen_img2img.png",
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model_class=QwenImage,
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model_config=ModelConfig.qwen_image(),
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quantize=6, # We should probably use at least 8-bit, but it doesn't run on 32GB machines
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steps=20,
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seed=44,
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height=341,
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width=768,
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image_path="reference_dev_image_to_image.png",
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image_strength=0.4,
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prompt="Luxury food photograph of a burger",
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negative_prompt="ugly, blurry, low quality",
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mismatch_threshold=0.35, # Qwen models produce visually similar images with minor pixel differences
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)
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def test_qwen_image_generation_lora(self):
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ImageGeneratorTestHelper.assert_matches_reference_image(
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reference_image_path="reference_qwen_lora.png",
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output_image_path="output_qwen_lora.png",
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model_class=QwenImage,
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model_config=ModelConfig.qwen_image(),
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guidance=1.0,
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quantize=6, # We should probably use at least 8-bit, but it doesn't run on 32GB machines
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steps=4,
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seed=42,
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height=341,
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width=768,
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prompt="Luxury food photograph",
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negative_prompt="ugly, blurry, low quality",
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lora_repo_id="lightx2v/Qwen-Image-Lightning",
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lora_names=["Qwen-Image-Lightning-4steps-V2.0.safetensors"],
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mismatch_threshold=0.65, # LoRA tests have higher variance due to model updates
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)
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