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06a2f8e | 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 27 28 | import torch
from diffsynth.core import ModelConfig
from diffsynth.pipelines.stable_diffusion_xl import StableDiffusionXLPipeline
pipe = StableDiffusionXLPipeline.from_pretrained(
torch_dtype=torch.float32,
model_configs=[
ModelConfig(model_id="stabilityai/stable-diffusion-xl-base-1.0", origin_file_pattern="text_encoder/model.safetensors"),
ModelConfig(model_id="stabilityai/stable-diffusion-xl-base-1.0", origin_file_pattern="text_encoder_2/model.safetensors"),
ModelConfig(model_id="stabilityai/stable-diffusion-xl-base-1.0", origin_file_pattern="unet/diffusion_pytorch_model.safetensors"),
ModelConfig(model_id="stabilityai/stable-diffusion-xl-base-1.0", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
],
tokenizer_config=ModelConfig(model_id="stabilityai/stable-diffusion-xl-base-1.0", origin_file_pattern="tokenizer/"),
tokenizer_2_config=ModelConfig(model_id="stabilityai/stable-diffusion-xl-base-1.0", origin_file_pattern="tokenizer_2/"),
)
pipe.load_lora(pipe.unet, './models/train/stable-diffusion-xl-base-1.0_split/epoch-4.safetensors')
image = pipe(
prompt="a dog",
negative_prompt="",
cfg_scale=7.0,
height=1024,
width=1024,
seed=42,
num_inference_steps=50,
)
image.save('split_training_stable-diffusion-xl.jpg')
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