The following steps need to be followed for image generation using CFG-Zero-star:
- Environment Configuration: First you need to create a Python virtual environment and install PyTorch and other dependencies.
- Code Fetch: Clone the project repository via Git and install the necessary dependency packages
- Model Preparation: Download the weights file for generating models such as Stable Diffusion
- parameterization: set prompt in demo.py and enable CFG-Zero-star optimization (use_cfg_zero_star = True)
- Execution generation: Run the python demo.py command to start the generation process
Key Parameter Description:
- guidance_scale: Controls the intensity of text steering, default 4.0, settable range 1-20
- num_inference_steps: Reasoning steps, default 28, increasing the number of steps may improve the quality but at the same time will increase the calculation time
- Resolution Settings: The resolution of the output image can be adjusted with the parameters height and width.
This answer comes from the articleCFG-Zero-star: An Open Source Tool for Improving Image and Video Generation QualityThe
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