Instructions to use alibaba-pai/pai-diffusion-general-large-zh-controlnet-depth with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Diffusers
How to use alibaba-pai/pai-diffusion-general-large-zh-controlnet-depth with Diffusers:
pip install -U diffusers transformers accelerate
import torch from diffusers import DiffusionPipeline # switch to "mps" for apple devices pipe = DiffusionPipeline.from_pretrained("alibaba-pai/pai-diffusion-general-large-zh-controlnet-depth", dtype=torch.bfloat16, device_map="cuda") prompt = "Astronaut in a jungle, cold color palette, muted colors, detailed, 8k" image = pipe(prompt).images[0] - Notebooks
- Google Colab
- Kaggle
- Local Apps
- Draw Things
- DiffusionBee
Chinese Latent Diffusion Model
我们开源了适配模型 alibaba-pai/pai-diffusion-general-large-zh 的 ControlNet,输入图像的 Depth 特征,进行可控的生成。
- Github: EasyNLP
from diffusers import StableDiffusionControlNetPipeline, ControlNetModel
controlnet_id = "alibaba-pai/pai-diffusion-general-large-zh-controlnet-depth"
controlnet = ControlNetModel.from_pretrained(controlnet_id)
model_id = "alibaba-pai/pai-diffusion-general-large-zh"
pipe = StableDiffusionControlNetPipeline.from_pretrained(model_id, controlnet=controlnet)
pipe = pipe.to("cuda")
image = Image.open("depth_image.png")
prompt = "雪地上的帐篷"
image = pipe(prompt, image).images[0]
image.save("result.png")
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