FLUX: update README.md (#1036)

README.md

@@ -20,8 +20,10 @@ Some more useful examples are listed below.
 
 ### Image Models 
 
+- Generating images
+  - [FLUX](flux)
+  - [Stable Diffusion or SDXL](stable_diffusion)
 - Image classification using [ResNets on CIFAR-10](cifar).
-- Generating images with [Stable Diffusion or SDXL](stable_diffusion).
 - Convolutional variational autoencoder [(CVAE) on MNIST](cvae).
 
 ### Audio Models

flux/README.md

@@ -28,6 +28,26 @@ You can install all of the above with the `requirements.txt` as follows:
 
     pip install -r requirements.txt
 
+
+Usage
+---------
+
+You can use the following command to generate an image, using `--output` to specify the storage location of the image, defaulting to `out.png`.
+
+```shell
+python txt2image.py --model schnell \
+    --n-images 1 \
+    --image-size 256x512 \
+    --verbose \
+    'A photo of an astronaut riding a horse on Mars.'
+```
+
+For more parameters, please use the `--help` command to view.
+
+```shell
+python txt2image.py --help
+```
+
 Inference
 ---------
 
@@ -78,7 +98,11 @@ except for some additional logic to quantize and/or load trained adapters. One
 can use the script as follows:
 
 ```shell
-python txt2image.py --n-images 4 --n-rows 2 --image-size 256x512 'A photo of an astronaut riding a horse on Mars.'
+python txt2image.py \
+    --n-images 4 \
+    --n-rows 2 \
+    --image-size 256x512 \
+    'A photo of an astronaut riding a horse on Mars.'
 ```
 
 ### Experimental Options