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25 lines
1018 B
Python
25 lines
1018 B
Python
import torch
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from diffsynth.pipelines.flux_image import FluxImagePipeline, ModelConfig
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from PIL import Image
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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="black-forest-labs/FLUX.1-Kontext-dev", origin_file_pattern="flux1-kontext-dev.safetensors"),
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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-Kontext-dev_lora/epoch-4.safetensors", alpha=1)
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image = pipe(
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prompt="Make the dog turn its head around.",
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kontext_images=Image.open("data/example_image_dataset/2.jpg").resize((768, 768)),
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height=768, width=768,
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seed=0
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)
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image.save("image_FLUX.1-Kontext-dev_lora.jpg")
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