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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 | from diffsynth.pipelines.stable_diffusion import StableDiffusionPipeline, ModelConfig
from diffsynth.core import load_state_dict
import torch
pipe = StableDiffusionPipeline.from_pretrained(
torch_dtype=torch.float32,
model_configs=[
ModelConfig(model_id="AI-ModelScope/stable-diffusion-v1-5", origin_file_pattern="text_encoder/model.safetensors"),
ModelConfig(model_id="AI-ModelScope/stable-diffusion-v1-5", origin_file_pattern="unet/diffusion_pytorch_model.safetensors"),
ModelConfig(model_id="AI-ModelScope/stable-diffusion-v1-5", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
],
tokenizer_config=ModelConfig(model_id="AI-ModelScope/stable-diffusion-v1-5", origin_file_pattern="tokenizer/"),
)
state_dict = load_state_dict("./models/train/stable-diffusion-v1-5_full/epoch-1.safetensors", torch_dtype=torch.float32)
pipe.unet.load_state_dict(state_dict)
image = pipe(
prompt="a dog",
negative_prompt="blurry, low quality, deformed",
cfg_scale=7.5,
height=512,
width=512,
seed=42,
rand_device="cuda",
num_inference_steps=50,
)
image.save("image_stable-diffusion-v1-5_full.jpg")
|