Update README

Author: saddam213

OnnxStack.Converter/README.md

@@ -9,12 +9,17 @@ python -m pip install -r requirements.txt
 
 ## Usage
 ```bash
-convert.py --optimize --model_input '..\stable-diffusion-v1-5' --model_output '..\converted' --controlnet
+python convert.py --model_input '..\stable-diffusion-v1-5' --controlnet
 ```
-`--optimize`  - Run the model optimization
 
 `--model_input`  - Safetensor model to convert
 
-`--model_output`  - Output for converted ONNX model (NOTE: This folder is deleted before each run)
+`--model_output`  - Output for converted ONNX model
+
+`--clean`  - Clear convert/optimize model cache
+
+`--tempDir`  - Directory for temp Olive files
+
+`--only_unet`  - Only convert UNET model
 
 `--controlnet`  - Create a ControlNet enabled Unet model

OnnxStack.Converter/latent_consistency/README.md

@@ -9,15 +9,17 @@ python -m pip install -r requirements.txt
 
 ## Usage
 ```bash
-convert.py --model_input "D:\Models\LCM_Dreamshaper_v7" --controlnet
+python convert.py --model_input "D:\Models\LCM_Dreamshaper_v7" --controlnet
 ```
 
 `--model_input`  - Safetensor model to convert
 
 `--model_output`  - Output for converted ONNX model
 
-`--controlnet`  - Create a ControlNet enabled Unet model
-
 `--clean`  - Clear convert/optimize model cache
 
-`--tempDir`  - Directory for temp Olive files
+`--tempDir`  - Directory for temp Olive files
+
+`--only_unet`  - Only convert UNET model
+
+`--controlnet`  - Create a ControlNet enabled Unet model

OnnxStack.Converter/stable_cascade/README.md

@@ -9,12 +9,17 @@ python -m pip install -r requirements.txt
 
 ## Usage
 ```bash
-convert.py --optimize --model_input '..\stable-cascade' --image_encoder
+python convert.py --model_input "D:\Models\stable-cascade"  --image_encoder
 ```
-`--optimize`  - Run the model optimization
 
 `--model_input`  - Safetensor model to convert
 
-`--model_output`  - Output for converted ONNX model (NOTE: This folder is deleted before each run)
+`--model_output`  - Output for converted ONNX model
+
+`--clean`  - Clear convert/optimize model cache
+
+`--tempDir`  - Directory for temp Olive files
+
+`--only_unet`  - Only convert UNET model
 
 `--image_encoder`  - Convert the optional image encoder

OnnxStack.Converter/stable_diffusion/README.md

@@ -9,15 +9,17 @@ python -m pip install -r requirements.txt
 
 ## Usage
 ```bash
-convert.py --model_input "D:\Models\stable-diffusion-v1-5" --controlnet
+python convert.py --model_input "D:\Models\stable-diffusion-v1-5" --controlnet
 ```
 
 `--model_input`  - Safetensor model to convert
 
 `--model_output`  - Output for converted ONNX model
 
-`--controlnet`  - Create a ControlNet enabled Unet model
-
 `--clean`  - Clear convert/optimize model cache
 
-`--tempDir`  - Directory for temp Olive files
+`--tempDir`  - Directory for temp Olive files
+
+`--only_unet`  - Only convert UNET model
+
+`--controlnet`  - Create a ControlNet enabled Unet model

OnnxStack.Converter/stable_diffusion_xl/README.md

@@ -16,14 +16,14 @@ python convert.py --model_input "D:\Models\stable-diffusion-xl-base-1.0" --contr
 
 `--model_output`  - Output for converted ONNX model
 
-`--controlnet`  - Create a ControlNet enabled Unet model
-
 `--clean`  - Clear convert/optimize model cache
 
 `--tempDir`  - Directory for temp Olive files
 
 `--only_unet`  - Only convert UNET model
 
+`--controlnet`  - Create a ControlNet enabled Unet model
+
 ## Extra Requirements
 To successfully optimize SDXL models you will need the patched `vae` from repository below otherwise you may get black image results