feat: Introduce qwen-image-layered model saving
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@ -12,12 +12,13 @@ GUIDANCE_SCALE = 3.5
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GUIDANCE_SCALE_KONTEXT = 2.5
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GUIDANCE_SCALE_KONTEXT = 2.5
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HEIGHT, WIDTH = 1024, 1024
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HEIGHT, WIDTH = 1024, 1024
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IMAGE_STRENGTH = 0.4
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IMAGE_STRENGTH = 0.4
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MODEL_CHOICES = ["dev", "schnell", "krea-dev", "dev-krea", "qwen", "fibo", "z-image-turbo"]
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MODEL_CHOICES = ["dev", "schnell", "krea-dev", "dev-krea", "qwen", "qwen-image-layered", "fibo", "z-image-turbo"]
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MODEL_INFERENCE_STEPS = {
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MODEL_INFERENCE_STEPS = {
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"dev": 25,
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"dev": 25,
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"schnell": 4,
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"schnell": 4,
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"krea-dev": 25,
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"krea-dev": 25,
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"qwen": 20,
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"qwen": 20,
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"qwen-image-layered": 50,
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"fibo": 20,
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"fibo": 20,
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"z-image-turbo": 9,
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"z-image-turbo": 9,
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}
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}
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@ -3,6 +3,7 @@ from mflux.models.common.config import ModelConfig
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from mflux.models.fibo.variants.txt2img.fibo import FIBO
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from mflux.models.fibo.variants.txt2img.fibo import FIBO
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from mflux.models.flux.variants.txt2img.flux import Flux1
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from mflux.models.flux.variants.txt2img.flux import Flux1
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from mflux.models.qwen.variants.txt2img.qwen_image import QwenImage
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from mflux.models.qwen.variants.txt2img.qwen_image import QwenImage
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from mflux.models.qwen_layered.variants.i2l.qwen_image_layered import QwenImageLayered
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from mflux.models.z_image.variants.turbo.z_image_turbo import ZImageTurbo
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from mflux.models.z_image.variants.turbo.z_image_turbo import ZImageTurbo
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@ -15,7 +16,9 @@ def main():
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# 1. Determine model class based on model name
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# 1. Determine model class based on model name
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model_name_lower = args.model.lower()
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model_name_lower = args.model.lower()
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if "qwen" in model_name_lower:
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if "qwen" in model_name_lower and "layered" in model_name_lower:
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model_class = QwenImageLayered
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elif "qwen" in model_name_lower:
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model_class = QwenImage
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model_class = QwenImage
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elif "fibo" in model_name_lower:
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elif "fibo" in model_name_lower:
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model_class = FIBO
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model_class = FIBO
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