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171f557 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | import torch
from diffsynth.pipelines.ernie_image import ErnieImagePipeline, ModelConfig
from diffsynth.core.loader.file import load_state_dict
pipe = ErnieImagePipeline.from_pretrained(
torch_dtype=torch.bfloat16,
device="cuda",
model_configs=[
ModelConfig(model_id="PaddlePaddle/ERNIE-Image", origin_file_pattern="transformer/diffusion_pytorch_model*.safetensors"),
ModelConfig(model_id="PaddlePaddle/ERNIE-Image", origin_file_pattern="text_encoder/model.safetensors"),
ModelConfig(model_id="PaddlePaddle/ERNIE-Image", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
],
)
lora_state_dict = load_state_dict('./models/train/Ernie-Image-T2I_split/epoch-4.safetensors', torch_dtype=torch.bfloat16, device="cuda")
pipe.load_lora(pipe.dit, state_dict=lora_state_dict, alpha=1.0)
image = pipe(
prompt="a professional photo of a cute dog",
seed=0,
num_inference_steps=50,
cfg_scale=4.0,
)
image.save('split_training_ERNIE-Image.jpg')
print("LoRA validation image saved to image_lora.jpg")
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