HunyuanDiT v1.2 ControlNet Diffusers Canny
tencent-hunyuan-community
Modellquelle
- Art
- ControlNet
- Dateigröße
- 2,77 GB
- Version
- vdiffusion_pytorch_model
- Aktualisiert
- 6. Okt. 2026
- Downloads
- 747
- Quelle
- Hugging Face
Quellenbeschreibung
from diffusers import HunyuanDiT2DControlNetModel, HunyuanDiTControlNetPipeline
import torch
controlnet = HunyuanDiT2DControlNetModel.from_pretrained("Tencent-Hunyuan/HunyuanDiT-v1.2-ControlNet-Diffusers-Canny", 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-Canny/resolve/main/canny.jpg?download=true')
## You may also use English prompt as HunyuanDiT supports both English and Chinese
prompt="在夜晚的酒店门前,一座古老的中国风格的狮子雕像矗立着,它的眼睛闪烁着光芒,仿佛在守护着这座建筑。背景是夜晚的酒店前,构图方式是特写,平视,居中构图。这张照片呈现了真实摄影风格,蕴含了中国雕塑文化,同时展现了神秘氛围"
#prompt="At night, an ancient Chinese-style lion statue stands in front of the hotel, its eyes gleaming as if guarding the building. The background is the hotel entrance at night, with a close-up, eye-level, and centered composition. This photo presents a realistic photographic style, embodies Chinese sculpture culture, and reveals a mysterious 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')
Quellen
1 Quelle
Quellen
1 QuelleVerifiziert 6. Okt.
Modellartefakte
1 Artefakt
Modellartefakte
1 Artefaktdiffusion_pytorch_model.safetensors
safetensors · 2,77 GB · SHA-256 b12c2f44e678…587e · Hugging Face
HerunterladenQuellenauszüge
3 Auszüge
Quellenauszüge
3 Auszüge--- 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-Canny", 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-Canny/resolve/main/canny.jpg?download=true') ## You may also use English prompt as HunyuanDiT supports both English and Chinese prompt="在夜晚的酒店门前，一座古老的中国风格的狮子雕像矗立着，它的眼睛闪烁着光芒，仿佛在守护着这座建筑。背景是夜晚的酒店前，构图方式是特写，平视，居中构图。这张照片呈现了真实摄影风格，蕴含了中国雕塑文化，同时展现了神秘氛围" #prompt="At night, an ancient Chinese-style lion statue stands in front of the hotel, its eyes gleaming as if guarding the building. The background is the hotel entrance at night, with a close-up, eye-level, and centered composition. This photo presents a realistic photographic style, embodies Chinese sculpture culture, and reveals a mysterious 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: 747 downloads · 0 likes · Library diffusers · Repo Tencent-Hunyuan/HunyuanDiT-v1.2-ControlNet-Diffusers-Canny
Source context: 20 downloads · 0 likes · Library diffusers · Repo Tencent-Hunyuan/HunyuanDiT-v1.2-ControlNet-Diffusers-Canny
