# Inference WebUI DiffSynth-Studio provides an Inference WebUI to help developers quickly validate model performance. > The Inference WebUI is a debugging tool designed for developers, not a creation tool for end-users. For a richer feature set and more user-friendly interactive experience, we recommend using the [AIGC Zone](https://modelscope.cn/aigc/home) on ModelScope (for users in China) or the [Civision Zone](https://modelscope.ai/civision/home) (for users outside China). ## Launching the Inference WebUI The Inference WebUI is built on [Streamlit](https://streamlit.io/). We recommend installing DiffSynth-Studio in `[all]` mode: ```shell git clone https://github.com/modelscope/DiffSynth-Studio.git cd DiffSynth-Studio pip install -e .[all] ``` Launch command: ```shell streamlit run examples/dev_tools/webui.py --server.fileWatcherType none ``` ## How It Works As a standalone tool, the Inference WebUI dynamically generates corresponding UI controls by parsing the type annotations of parameters in the Pipeline's `from_pretrained` and `__call__` methods. Therefore, the interface interaction logic is fully consistent with the code invocation logic, serving as a visual entry point for DiffSynth-Studio code. Taking `ZImagePipeline.__call__` in `diffsynth.pipelines.z_image` as an example: ```python @torch.no_grad() def __call__( self, # Prompt prompt: str = "", negative_prompt: str = "", cfg_scale: float = 1.0, # Image input_image: Image.Image = None, denoising_strength: float = 1.0, ... ) ``` After parsing, the WebUI will automatically render the following interface: ![](https://github.com/user-attachments/assets/55795022-7a9b-4383-b048-7feabdfcdddf) ## Usage Tips - Supports automatic loading of model information such as `model_id` and `origin_file_pattern` from sample code in `./examples`, simplifying the configuration process; - Parameters such as `vram_limit`, `tokenizer_config`, and `lora` cannot be retrieved through code parsing and need to be filled in manually.