Use the tool directly (without agent)
from agentlego.apis import load_tool
# load tool
tool = load_tool('ImageToCanny')
# apply tool
canny = tool('examples/demo.png')
print(canny)With Lagent
from lagent import ReAct, GPTAPI, ActionExecutor
from agentlego.apis import load_tool
# load tools and build agent
# please set `OPENAI_API_KEY` in your environment variable.
tool = load_tool('ImageToCanny').to_lagent()
agent = ReAct(GPTAPI(temperature=0.), action_executor=ActionExecutor([tool]))
# agent running with the tool.
img_path = 'examples/demo.png'
ret = agent.chat(f'Please do edge detection on the image `{img_path}`')
for step in ret.inner_steps[1:]:
print('------')
print(step['content'])Download the demo resource
wget http://download.openmmlab.com/agentlego/canny.pngUse the tool directly (without agent)
from agentlego.apis import load_tool
# load tool
tool = load_tool('CannyTextToImage', device='cuda')
# apply tool
image = tool('canny.png')
print(image)With Lagent
from lagent import ReAct, GPTAPI, ActionExecutor
from agentlego.apis import load_tool
# load tools and build agent
# please set `OPENAI_API_KEY` in your environment variable.
tool = load_tool('CannyTextToImage', device='cuda').to_lagent()
agent = ReAct(GPTAPI(temperature=0.), action_executor=ActionExecutor([tool]))
# agent running with the tool.
canny = 'canny.png'
ret = agent.chat(f'According to the canny edge `{canny}`, draw a cartoon style image.')
for step in ret.inner_steps[1:]:
print('------')
print(step['content'])Before using the tool, please confirm you have installed the related dependencies by the below commands.
pip install -U diffusersThis tool uses a Control Net model in default settings. See the following paper for details.
@misc{zhang2023adding,
title={Adding Conditional Control to Text-to-Image Diffusion Models},
author={Lvmin Zhang and Maneesh Agrawala},
year={2023},
eprint={2302.05543},
archivePrefix={arXiv},
primaryClass={cs.CV}
}