Files
DiffSynth-Studio/examples/ernie_image/model_inference/Ernie-Image-T2I.py
Hong Zhang 960d8c62c0 Support ERNIE-Image (#1389)
* 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
2026-04-13 14:57:10 +08:00

25 lines
863 B
Python

from diffsynth.pipelines.ernie_image import ErnieImagePipeline, ModelConfig
import torch
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"),
],
tokenizer_config=ModelConfig(model_id="baidu/ERNIE-Image", origin_file_pattern="tokenizer/"),
)
image = pipe(
prompt="一只黑白相间的中华田园犬",
negative_prompt="",
height=1024,
width=1024,
seed=42,
num_inference_steps=50,
cfg_scale=4.0,
)
image.save("output.jpg")