HunyuanVideo#
README(From Huggingface)#
base_model:
tencent/HunyuanVideo library_name: diffusers
Unofficial community fork for Diffusers-format weights on tencent/HunyuanVideo.
Using Diffusers#
HunyuanVideo can be used directly from Diffusers. Install the latest version of Diffusers.
import paddle
from diffusers import HunyuanVideoPipeline, HunyuanVideoTransformer3DModel
from diffusers.utils import export_to_video
model_id = "hunyuanvideo-community/HunyuanVideo"
transformer = HunyuanVideoTransformer3DModel.from_pretrained(
model_id, subfolder="transformer", dtype=paddle.bfloat16
)
pipe = HunyuanVideoPipeline.from_pretrained(model_id, transformer=transformer, dtype=paddle.float16)
# Enable memory savings
pipe.vae.enable_tiling()
pipe.enable_model_cpu_offload()
output = pipe(
prompt="A cat walks on the grass, realistic",
height=320,
width=512,
num_frames=61,
num_inference_steps=30,
).frames[0]
export_to_video(output, "output.mp4", fps=15)
Refer to the documentation for more information.
Model Files#
README.md (1.1 KB)
config.json (38.0 B)
model_index.json (563.0 B)
scheduler/scheduler_config.json (419.0 B)
text_encoder/config.json (1.1 KB)
text_encoder_2/config.json (4.4 KB)
text_encoder_2/model_state.pdparams (1.6 GB)
tokenizer/special_tokens_map.json (577.0 B)
tokenizer/tokenizer.json (16.4 MB)
tokenizer/tokenizer_config.json (50.5 KB)
tokenizer_2/merges.txt (512.4 KB)
tokenizer_2/special_tokens_map.json (478.0 B)
tokenizer_2/tokenizer_config.json (194.0 B)
tokenizer_2/vocab.json (842.1 KB)
transformer/config.json (543.0 B)
transformer/diffusion_paddle_model-00001-of-00003.safetensors (9.3 GB)
transformer/diffusion_paddle_model-00002-of-00003.safetensors (9.3 GB)
transformer/diffusion_paddle_model-00003-of-00003.safetensors (5.3 GB)
transformer/diffusion_paddle_model.safetensors.index.json (128.8 KB)
vae/config.json (751.0 B)
vae/diffusion_paddle_model.safetensors (940.3 MB)