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Update artaug_flux.py
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@@ -1,24 +1,14 @@
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import torch
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import torch
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from diffsynth import ModelManager, FluxImagePipeline, download_customized_models
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from diffsynth import ModelManager, FluxImagePipeline, download_customized_models
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prompt = "a beautiful Asian girl."
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# Generate an image using FLUX.1-dev
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model_manager = ModelManager(torch_dtype=torch.bfloat16, device="cuda", model_id_list=["FLUX.1-dev"])
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pipe = FluxImagePipeline.from_model_manager(model_manager)
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image = pipe(prompt=prompt, seed=0)
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image.save("image.jpg")
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# Download and load ArtAug LoRA
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lora_path = download_customized_models(
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lora_path = download_customized_models(
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model_id="DiffSynth-Studio/ArtAug-lora-FLUX.1dev-v1",
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model_id="DiffSynth-Studio/ArtAug-lora-FLUX.1dev-v1",
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origin_file_path="merged_lora.safetensors",
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origin_file_path="merged_lora.safetensors",
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local_dir="models/lora",
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local_dir="models/lora"
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downloading_priority=["ModelScope", "HuggingFace"]
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)[0]
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)[0]
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model_manager = ModelManager(torch_dtype=torch.bfloat16, device="cuda", model_id_list=["FLUX.1-dev"])
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model_manager.load_lora(lora_path, lora_alpha=1.0)
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model_manager.load_lora(lora_path, lora_alpha=1.0)
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pipe = FluxImagePipeline.from_model_manager(model_manager)
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# Generate an image using FLUX.1-dev + ArtAug
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image = pipe(prompt="a house", seed=0)
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image = pipe(prompt=prompt, seed=0)
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image.save("image_artaug.jpg")
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image.save("image_artaug.jpg")
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