# Fooocus CLI (Command Line Interface) This is a custom Command Line Interface for Fooocus, allowing you to generate images programmatically without launching the web browser. It supports advanced features like model selection, custom styles, LoRAs, and batch generation. ## 🚀 Quick Start From the Fooocus directory, run: ```bash python entry_with_update.py --prompt "a beautiful landscape" --output "landscape.png" ``` For Windows Standalone users (assuming you are in the install folder): ```powershell .\python_embeded\python.exe Fooocus\entry_with_update.py --prompt "test" ``` ## 🛠️ Usage & Arguments ### Basic Usage ```bash python entry_with_update.py --prompt "your prompt" --aspect-ratio "1024x1024" ``` ### Advanced Usage ```bash python entry_with_update.py ^ --prompt "cyberpunk detective, neon rain" ^ --negative-prompt "bright, sunny" ^ --steps 30 ^ --cfg-scale 7.0 ^ --style "Fooocus V2" --style "Fooocus Cyberpunk" ^ --base-model "juggernautXL_v8Rundiffusion.safetensors" ^ --lora "sd_xl_offset_example-lora_1.0.safetensors:0.5" ^ --image-number 2 ^ --output "detective.png" ``` ### Argument Reference | Category | Argument | Description | Default | | :--- | :--- | :--- | :--- | | **Core** | `--prompt` | **(Required)** The positive prompt text. | N/A | | | `--negative-prompt` | valid negative prompt text. | "" | | | `--output` | Output filename. Relative command run location. | N/A | | | `--seed` | Seed number for reproducibility. `-1` is random. | -1 | | | `--image-number` | Number of images to generate in a row. | 1 | | **Performance** | `--performance` | Preset: `Speed`, `Quality`, `Extreme Speed`. | Speed | | | `--steps` | Exact number of sampling steps (overrides performance). | N/A | | | `--aspect-ratio` | Dimensions (e.g., `1152x896`, `1024x1024`). | 1152x896 | | | `--cfg-scale` | Guidance scale (how strictly to follow prompt). | 7.0 | | | `--sharpness` | Image sharpness filter strength. | 2.0 | | | `--sampler` | Sampler method name. | dpmpp_2m_sde_gpu | | | `--scheduler` | Scheduler name. | karras | | **Models** | `--base-model` | Filename of the base checkpoint. | (Config Default) | | | `--refiner-model` | Filename of the refiner checkpoint. | (Config Default) | | | `--refiner-switch` | Step ratio to switch to refiner (0.0-1.0). | 0.5 | | | `--lora` | Load LoRA: `filename:weight`. Use flag multiple times. | N/A | | **Styles** | `--style` | Style name. Use flag multiple times. | (Fooocus Defaults) | ## 🤖 AI Agent Integration If you want to teach an AI agent to use this tool, provide it with the following specification: ### Tool: `generate_image_fooocus` **Description:** Generates images locally using Fooocus via CLI. **Execution:** `d:\Fooocus_win64_2-5-0\fooocus-cli.bat` **Parameters:** * `prompt`: String (Required) * `negative_prompt`: String * `output`: String (Filename) * `aspect_ratio`: String (e.g., "1024x1024") * `base_model`: String (Checkpoint filename) * `style`: List[String] (Style names) * `lora`: List[String] (Format "name:weight") * `steps`: Integer * `cfg_scale`: Float **Notes:** * Output is saved relative to `d:\Fooocus_win64_2-5-0\Fooocus\` if a relative path is given in python, but the batch wrapper usually handles CWD. Absolute paths are recommended for the `--output` argument to ensure files are saved exactly where intended.