add cli

cli/README.md

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+# Scripts using Stable-Diffusion/Automatic API
+
+*Note*: Start **SD/Automatic** using `python launch.py --api`
+## Generate
+
+Text-to-image with all of the possible parameters  
+Supports upsampling, face restoration and grid creation  
+> python generate.py --help
+
+By default uses parameters from  `generate.json`
+
+Parameters that are not specified will be randomized to some extent:
+- Prompt will be dynamically created from template of random samples: `random.json`
+- Sampler/Scheduler will be randomly picked from available ones
+- CFG Scale set to 5-10
+
+## Train
+
+End-to-end embedding training
+> python train.py --help
+
+Combined pipeline:
+1. Creates embedding  
+2. Extracts images if input is movie  
+3. Preprocesses images  
+4. Runs training  
+
+## Interrogate
+
+Runs CLiP and Booru image interrogation on any provided parameters  
+*(image, list of images, wildcards, folder, etc.)*
+> python interrogate.py
+
+## Promptist
+
+Attempts to beautify the provided prompt  
+> python promptist.py
+
+## Ideas
+
+Generate complex prompt ideas
+> python ideas.py --help
+
+## SDAPI
+
+Utility module that handles async communication to Automatic API endpoints  
+Can be used to manually execute specific commands:
+> python sdapi.py progress  
+> python sdapi.py interrupt
+
+## FFMPEG
+
+Utility module that handles video files  
+Can be used to manually execute specific commands:
+> ffmpeg extract --help  
+> python ffmpeg.py extract --input ~/downloads/vlado.mp4 --output ./vlado --fps 2 --skipstart 3 --skipend 1
+
+## Grid
+
+Utility module to create image grids
+> python grid.py --help
+
+## Bench
+
+Benchmark your Automatic
+> python bench.py