HunyuanDiT v1.2 ControlNet Diffusers Pose
tencent-hunyuan-community
Source du modèle
- Type
- ControlNet
- Taille du fichier
- 2,77 GB
- Version
- vdiffusion_pytorch_model
- Mis à jour
- 6 oct. 2026
- Téléchargements
- 729
- Source
- Hugging Face
Description de la source
from diffusers import HunyuanDiT2DControlNetModel, HunyuanDiTControlNetPipeline
import torch
controlnet = HunyuanDiT2DControlNetModel.from_pretrained("Tencent-Hunyuan/HunyuanDiT-v1.2-ControlNet-Diffusers-Pose", torch_dtype=torch.float16)
pipe = HunyuanDiTControlNetPipeline.from_pretrained("Tencent-Hunyuan/HunyuanDiT-v1.2-Diffusers-Distilled", controlnet=controlnet, torch_dtype=torch.float16)
pipe.to("cuda")
from diffusers.utils import load_image
cond_image = load_image('https://huggingface.co/Tencent-Hunyuan/HunyuanDiT-v1.2-ControlNet-Diffusers-Pose/resolve/main/pose.jpg?download=true')
## You may also use English prompt as HunyuanDiT supports both English and Chinese
prompt="在白天的森林中,一位穿着绿色上衣的亚洲女性站在大象旁边。照片采用了中景、平视和居中构图的方式,呈现出写实的效果。这张照片蕴含了人物摄影文化,并展现了宁静的氛围"
#prompt="In the daytime forest, an Asian woman wearing a green shirt stands beside an elephant. The photo uses a medium shot, eye-level, and centered composition to create a realistic effect. This picture embodies the character photography culture and conveys a serene atmosphere."
torch.manual_seed(42)
image = pipe(
prompt,
negative_prompt='错误的眼睛,糟糕的人脸,毁容,糟糕的艺术,变形,多余的肢体,模糊的颜色,模糊,重复,病态,残缺,',
height=1024,
width=1024,
guidance_scale=6.0,
control_image=cond_image,
num_inference_steps=50,
).images[0]
image.save('./image.png')
Sources
1 source
Sources
1 sourceVérifié 6 oct.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactdiffusion_pytorch_model.safetensors
safetensors · 2,77 GB · SHA-256 84dca4d3e807…afc7 · Hugging Face
TéléchargerExtraits de sources
3 extraits
Extraits de sources
3 extraits--- license: other license_name: tencent-hunyuan-community license_link: https://huggingface.co/Tencent-Hunyuan/HunyuanDiT/blob/main/LICENSE.txt --- ```py from diffusers import HunyuanDiT2DControlNetModel, HunyuanDiTControlNetPipeline import torch controlnet = HunyuanDiT2DControlNetModel.from_pretrained("Tencent-Hunyuan/HunyuanDiT-v1.2-ControlNet-Diffusers-Pose", torch_dtype=torch.float16) pipe = HunyuanDiTControlNetPipeline.from_pretrained("Tencent-Hunyuan/HunyuanDiT-v1.2-Diffusers-Distilled", controlnet=controlnet, torch_dtype=torch.float16) pipe.to("cuda") from diffusers.utils import load_image cond_image = load_image('https://huggingface.co/Tencent-Hunyuan/HunyuanDiT-v1.2-ControlNet-Diffusers-Pose/resolve/main/pose.jpg?download=true') ## You may also use English prompt as HunyuanDiT supports both English and Chinese prompt="在白天的森林中，一位穿着绿色上衣的亚洲女性站在大象旁边。照片采用了中景、平视和居中构图的方式，呈现出写实的效果。这张照片蕴含了人物摄影文化，并展现了宁静的氛围" #prompt="In the daytime forest, an Asian woman wearing a green shirt stands beside an elephant. The photo uses a medium shot, eye-level, and centered composition to create a realistic effect. This picture embodies the character photography culture and conveys a serene atmosphere." torch.manual_seed(42) image = pipe( prompt, negative_prompt='错误的眼睛，糟糕的人脸，毁容，糟糕的艺术，变形，多余的肢体，模糊的颜色，模糊，重复，病态，残缺，', height=1024, width=1024, guidance_scale=6.0, control_image=cond_image, num_inference_steps=50, ).images[0] image.save('./image.png') ```
Source context: 729 downloads · 0 likes · Library diffusers · Repo Tencent-Hunyuan/HunyuanDiT-v1.2-ControlNet-Diffusers-Pose
Source context: 15 downloads · 0 likes · Library diffusers · Repo Tencent-Hunyuan/HunyuanDiT-v1.2-ControlNet-Diffusers-Pose
