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27 lines
1.2 KiB
Python
27 lines
1.2 KiB
Python
import torch
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from PIL import Image
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from diffsynth.pipelines.flux_image import FluxImagePipeline, ModelConfig
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pipe = FluxImagePipeline.from_pretrained(
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torch_dtype=torch.bfloat16,
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device="cuda",
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model_configs=[
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ModelConfig(model_id="DiffSynth-Studio/Nexus-GenV2", origin_file_pattern="model*.safetensors"),
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ModelConfig(model_id="DiffSynth-Studio/Nexus-GenV2", origin_file_pattern="edit_decoder.bin"),
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ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder/model.safetensors"),
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ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="text_encoder_2/*.safetensors"),
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ModelConfig(model_id="black-forest-labs/FLUX.1-dev", origin_file_pattern="ae.safetensors"),
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],
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)
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pipe.load_lora(pipe.dit, "models/train/FLUX.1-NexusGen-Edit_lora/epoch-4.safetensors", alpha=1)
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ref_image = Image.open("data/example_image_dataset/nexus_gen/image_1.png").convert("RGB")
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prompt = "Add a pair of sunglasses."
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image = pipe(
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prompt=prompt, negative_prompt="",
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seed=42, cfg_scale=1.0, num_inference_steps=50,
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nexus_gen_reference_image=ref_image,
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height=512, width=512,
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)
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image.save("NexusGen-Edit_lora.jpg")
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