mirror of
https://github.com/modelscope/DiffSynth-Studio.git
synced 2026-03-19 06:48:12 +00:00
34 lines
1.6 KiB
Python
34 lines
1.6 KiB
Python
from diffsynth.pipelines.z_image import ZImagePipeline, ModelConfig
|
|
from diffsynth.core import load_state_dict
|
|
import torch
|
|
|
|
|
|
pipe = ZImagePipeline.from_pretrained(
|
|
torch_dtype=torch.bfloat16,
|
|
device="cuda",
|
|
model_configs=[
|
|
ModelConfig(model_id="Tongyi-MAI/Z-Image-Omni-Base", origin_file_pattern="transformer/*.safetensors"),
|
|
ModelConfig(model_id="Tongyi-MAI/Z-Image-Omni-Base", origin_file_pattern="siglip/model.safetensors"),
|
|
ModelConfig(model_id="Tongyi-MAI/Z-Image-Turbo", origin_file_pattern="text_encoder/*.safetensors"),
|
|
ModelConfig(model_id="Tongyi-MAI/Z-Image-Turbo", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
|
|
],
|
|
tokenizer_config=ModelConfig(model_id="Tongyi-MAI/Z-Image-Turbo", origin_file_pattern="tokenizer/"),
|
|
)
|
|
|
|
state_dict = load_state_dict("./models/train/Z-Image-Omni-Base_full/epoch-1.safetensors", torch_dtype=torch.bfloat16)
|
|
pipe.dit.load_state_dict(state_dict)
|
|
prompt = "a dog"
|
|
image = pipe(prompt=prompt, seed=42, rand_device="cuda", num_inference_steps=40, cfg_scale=4)
|
|
image.save("image.jpg")
|
|
|
|
# Edit
|
|
# state_dict = load_state_dict("./models/train/Z-Image-Omni-Base_full_edit/epoch-1.safetensors", torch_dtype=torch.bfloat16)
|
|
# pipe.dit.load_state_dict(state_dict)
|
|
# prompt = "Change the color of the dress in Figure 1 to the color shown in Figure 2."
|
|
# images = [
|
|
# Image.open("data/example_image_dataset/edit/image1.jpg").resize((1024, 1024)),
|
|
# Image.open("data/example_image_dataset/edit/image_color.jpg").resize((1024, 1024)),
|
|
# ]
|
|
# image = pipe(prompt=prompt, seed=42, rand_device="cuda", num_inference_steps=40, cfg_scale=4, edit_image=images)
|
|
# image.save("image.jpg")
|