mirror of
https://github.com/modelscope/DiffSynth-Studio.git
synced 2026-03-18 22:08:13 +00:00
26 lines
1.4 KiB
Python
26 lines
1.4 KiB
Python
from diffsynth.pipelines.qwen_image import QwenImagePipeline, ModelConfig
|
|
from diffsynth.core import load_state_dict
|
|
from modelscope import snapshot_download
|
|
import torch, math
|
|
|
|
|
|
pipe = QwenImagePipeline.from_pretrained(
|
|
torch_dtype=torch.bfloat16,
|
|
device="cuda",
|
|
model_configs=[
|
|
ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="transformer/diffusion_pytorch_model*.safetensors"),
|
|
ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="text_encoder/model*.safetensors"),
|
|
ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
|
|
],
|
|
tokenizer_config=ModelConfig(model_id="Qwen/Qwen-Image", origin_file_pattern="tokenizer/"),
|
|
)
|
|
|
|
snapshot_download("MusePublic/Qwen-Image-Distill", allow_file_pattern="qwen_image_distill_3step.safetensors", cache_dir="models")
|
|
lora_state_dict = load_state_dict("models/MusePublic/Qwen-Image-Distill/qwen_image_distill_3step.safetensors")
|
|
lora_state_dict = {i.replace("base_model.model.", ""): j for i, j in lora_state_dict.items()}
|
|
pipe.load_lora(pipe.dit, state_dict=lora_state_dict)
|
|
|
|
prompt = "精致肖像，水下少女，蓝裙飘逸，发丝轻扬，光影透澈，气泡环绕，面容恬静，细节精致，梦幻唯美。"
|
|
image = pipe(prompt, seed=0, num_inference_steps=3, cfg_scale=1, exponential_shift_mu=math.log(2.5))
|
|
image.save("image.jpg")
|