mirror of
https://github.com/modelscope/DiffSynth-Studio.git
synced 2026-04-13 13:05:45 +00:00
960d8c62c0
* ernie-image pipeline * ernie-image inference and training * style fix * ernie docs * lowvram * final style fix * pr-review * pr-fix round2 * set uniform training weight * fix * update lowvram docs
26 lines
933 B
Python
26 lines
933 B
Python
import torch
|
|
from diffsynth.pipelines.ernie_image import ErnieImagePipeline, ModelConfig
|
|
from diffsynth.core import load_state_dict
|
|
|
|
pipe = ErnieImagePipeline.from_pretrained(
|
|
torch_dtype=torch.bfloat16,
|
|
device="cuda",
|
|
model_configs=[
|
|
ModelConfig(model_id="baidu/ERNIE-Image", origin_file_pattern="transformer/diffusion_pytorch_model*.safetensors"),
|
|
ModelConfig(model_id="baidu/ERNIE-Image", origin_file_pattern="text_encoder/model.safetensors"),
|
|
ModelConfig(model_id="baidu/ERNIE-Image", origin_file_pattern="vae/diffusion_pytorch_model.safetensors"),
|
|
],
|
|
)
|
|
|
|
state_dict = load_state_dict("./models/train/Ernie-Image-T2I_full/epoch-1.safetensors")
|
|
pipe.dit.load_state_dict(state_dict)
|
|
|
|
image = pipe(
|
|
prompt="a professional photo of a cute dog",
|
|
seed=0,
|
|
num_inference_steps=50,
|
|
cfg_scale=4.0,
|
|
)
|
|
image.save("image_full.jpg")
|
|
print("Full validation image saved to image_full.jpg")
|