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24 lines
880 B
Python
24 lines
880 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="Qwen/Qwen2.5-VL-7B-Instruct", origin_file_pattern="model-*.safetensors"),
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ModelConfig(model_id="stepfun-ai/Step1X-Edit", origin_file_pattern="step1x-edit-i1258.safetensors"),
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ModelConfig(model_id="stepfun-ai/Step1X-Edit", origin_file_pattern="vae.safetensors"),
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],
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)
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pipe.load_lora(pipe.dit, "models/train/Step1X-Edit_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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step1x_reference_image=Image.open("data/example_image_dataset/2.jpg").resize((768, 768)),
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height=768, width=768, cfg_scale=6,
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seed=0
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)
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image.save("image_Step1X-Edit_lora.jpg")
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