Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
混元-DiT: 具有细粒度中文理解的多分辨率Diffusion Transformer
[Arxiv] [project page] [github]
This repo contains the pre-trained text-to-image model in 🤗 Diffusers format.
Dependency
Please install PyTorch first, following the instruction in https://pytorch.org
Install the latest version of transformers with pip:
pip install --upgrade transformers
Then install the latest github version of 🤗 Diffusers with pip:
pip install git+https://github.com/huggingface/diffusers.git
Example Usage with 🤗 Diffusers
import torch
from diffusers import HunyuanDiTPipeline
pipe = HunyuanDiTPipeline.from_pretrained("Tencent-Hunyuan/HunyuanDiT-Diffusers", torch_dtype=torch.float16)
pipe.to("cuda")
# You may also use English prompt as HunyuanDiT supports both English and Chinese
# prompt = "An astronaut riding a horse"
prompt = "一个宇航员在骑马"
image = pipe(prompt).images[0]
📈 Comparisons
In order to comprehensively compare the generation capabilities of HunyuanDiT and other models, we constructed a 4-dimensional test set, including Text-Image Consistency, Excluding AI Artifacts, Subject Clarity, Aesthetic. More than 50 professional evaluators performs the evaluation.
🎥 Visualization
- Chinese Elements
- Long Text Input
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