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 # Stable Diffusion for Remote Sensing Image Generation
 
 #### Author: Zhiqiang yuan @ AIR CAS,  [Send a Email](yuan_zhi_qiang@sina.cn)
+#### Welcome :+1:_<big>`Fork and Star`</big>_:+1:, then we'll let you know when we update
+#### -------------------------------------------------------------------------------------
 
-A simple project for text-to-image remote sensing image generation,
-and we will release the code of `using text to control regions for super-large RS image generation` later.
+A simple project for `text-to-image remote sensing image generation`,
+and we will release the code of `using multiple text to control regions for super-large RS image generation` later.
 Also welcome to see the project of [image-condition fake sample generation](https://github.com/xiaoyuan1996/Controllable-Fake-Sample-Generation-for-RS) in [TGRS, 2023](https://ieeexplore.ieee.org/abstract/document/10105619/).
 
 ##  Environment configuration
 
-Follow [original training repo](https://github.com/justinpinkney/stable-diffusion.git) .
+Follow and thanks [original training repo](https://github.com/justinpinkney/stable-diffusion.git) .
 
 
 ## Pretrained weights
 
-We used [RSITMD](https://github.com/xiaoyuan1996/AMFMN) as training data and fine-tuned stable diffusion for 10 epochs with 1 x A100 GPU.
+We used RS image-text dataset [RSITMD](https://github.com/xiaoyuan1996/AMFMN) as training data and fine-tuned stable diffusion for 10 epochs with 1 x A100 GPU.
 When the batchsize is 4, the GPU memory consumption is about 40+ Gb during training, and about 20+ Gb during sampling.
 The pretrain weights is realesed at [last-pruned.ckpt](https://github.com/xiaoyuan1996/AMFMN).
 
 ## Using
-Download the pretrain weights to current dir, and run with:
+
+### Samling
+Download the pretrain weights `last-pruned.ckpt` to current dir, and run with:
 ```commandline
-bash sample.sh
+python scripts/txt2img.py \
+    --prompt 'Some boats drived in the sea' \
+    --outdir 'outputs/RS' \
+    --H 512 --W 512 \
+    --n_samples 4 \
+    --config 'configs/stable-diffusion/RSITMD.yaml' \
+    --ckpt './last-pruned.ckpt'
 ```
+
+### Traing
 We will update the train code ASAP.
 
 ## Examples
-**Caption:** Some boats drived in the sea.
+**Caption:** `Some boats drived in the sea.`
 ![./assets/shows1.png](./assets/shows1.png)
 
-**Caption:** A lot of cars parked in the airport.
-![./assets/shows1.png](./assets/shows2.png)
+**Caption:** `A lot of cars parked in the airport.`
+![./assets/shows2.png](./assets/shows2.png)
+
+**Caption:** `A large number of vehicles are parked in the parking lot, next to the bare desert.`
+![./assets/shows3.png](./assets/shows3.png)
+
+**Caption:** `There is a church in a dark green forest with two table tennis courts next to it.`
+![./assets/shows4.png](./assets/shows4.png)
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-python scripts/txt2img.py \
-    --prompt 'There is a forest in the middle of the ocean' \
-    --outdir 'outputs/RS' \
-    --H 512 --W 512 \
-    --n_samples 4 \
-    --config 'configs/stable-diffusion/RSITMD.yaml' \
-    --ckpt './last-pruned.ckpt'
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