reorder README

README.md

@@ -35,54 +35,56 @@ See the paper to see how they were obtained.
 
 ### Examples
 
-Let's see some examples now
+Let's see some examples now. This would be with the un-personalized, original SD model:
 
 ```bash
-python scripts/txt2img.py --prompt "A portal towards other dimension" --plms  --seed 332 --aesthetic_steps 15 --aesthetic_embedding aesthetic_embeddings/sac_8plus.pt
+python scripts/txt2img.py --prompt "Roman city on top of a ridge, sci-fi illustration by Greg Rutkowski #sci-fi detailed vivid colors gothic concept illustration by James Gurney and Zdzislaw Beksiński vivid vivid colorsg concept illustration colorful interior" --seed 332 --plms  --aesthetic_steps 0 --W 768 --aesthetic_embedding aesthetic_embeddings/laion_7plus.pt
 ```
-![sample](assets/grid-0073.png)
 
-If we increase it to 20 steps, we get a more pronounced effect:
+![sample](assets/grid-0131.png)
+
+If we now personalize it with the LAION embedding, note how the images get more floral patterns, as this is one common pattern of the LAION aesthetics dataset:
 
 ```bash
-python scripts/txt2img.py --prompt "A portal towards other dimension" --plms  --seed 332 --aesthetic_steps 20 --aesthetic_embedding aesthetic_embeddings/sac_8plus.pt
+python scripts/txt2img.py --prompt "Roman city on top of a ridge, sci-fi illustration by Greg Rutkowski #sci-fi detailed vivid colors gothic concept illustration by James Gurney and Zdzislaw Beksiński vivid vivid colorsg concept illustration colorful interior" --seed 332 --plms  --aesthetic_steps 5 --W 768 --aesthetic_embedding aesthetic_embeddings/laion_7plus.pt
 ```
 
-![sample](assets/grid-0072.png)
+![sample](assets/grid-0133.png)
 
-We can set the steps to 0 to get the outputs for the original stable diffusion model:
+Increasing the number of steps more...
 
 ```bash
-python scripts/txt2img.py --prompt "A portal towards other dimension" --plms  --seed 332 --aesthetic_steps 0 --aesthetic_embedding aesthetic_embeddings/sac_8plus.pt
+python scripts/txt2img.py --prompt "Roman city on top of a ridge, sci-fi illustration by Greg Rutkowski #sci-fi detailed vivid colors gothic concept illustration by James Gurney and Zdzislaw Beksiński vivid vivid colorsg concept illustration colorful interior" --seed 332 --plms  --aesthetic_steps 8 --W 768 --aesthetic_embedding aesthetic_embeddings/laion_7plus.pt
 ```
 
-![sample](assets/grid-0075.png)
-
-Note that since we have used the SAC dataset for the personalization, the optimized results are more biased towards fantasy aesthetics.
+![sample](assets/grid-0135.png)
 
-Now we turn to another example. This would be with the original SD model:
+Let's see another example:
 
 ```bash
-python scripts/txt2img.py --prompt "Roman city on top of a ridge, sci-fi illustration by Greg Rutkowski #sci-fi detailed vivid colors gothic concept illustration by James Gurney and Zdzislaw Beksiński vivid vivid colorsg concept illustration colorful interior" --seed 332 --plms  --aesthetic_steps 0 --W 768 --aesthetic_embedding aesthetic_embeddings/laion_7plus.pt
+python scripts/txt2img.py --prompt "A portal towards other dimension" --plms  --seed 332 --aesthetic_steps 15 --aesthetic_embedding aesthetic_embeddings/sac_8plus.pt
 ```
+![sample](assets/grid-0073.png)
 
-![sample](assets/grid-0131.png)
-
-If we now personalize it with the LAION embedding, note how the images get more floral patterns, as this is one common pattern of the LAION aesthetics dataset:
+If we increase it to 20 steps, we get a more pronounced effect:
 
 ```bash
-python scripts/txt2img.py --prompt "Roman city on top of a ridge, sci-fi illustration by Greg Rutkowski #sci-fi detailed vivid colors gothic concept illustration by James Gurney and Zdzislaw Beksiński vivid vivid colorsg concept illustration colorful interior" --seed 332 --plms  --aesthetic_steps 5 --W 768 --aesthetic_embedding aesthetic_embeddings/laion_7plus.pt
+python scripts/txt2img.py --prompt "A portal towards other dimension" --plms  --seed 332 --aesthetic_steps 20 --aesthetic_embedding aesthetic_embeddings/sac_8plus.pt
 ```
 
-![sample](assets/grid-0133.png)
+![sample](assets/grid-0072.png)
 
-Increasing the number of steps more...
+We can set the steps to 0 to get the outputs for the original stable diffusion model:
 
 ```bash
-python scripts/txt2img.py --prompt "Roman city on top of a ridge, sci-fi illustration by Greg Rutkowski #sci-fi detailed vivid colors gothic concept illustration by James Gurney and Zdzislaw Beksiński vivid vivid colorsg concept illustration colorful interior" --seed 332 --plms  --aesthetic_steps 8 --W 768 --aesthetic_embedding aesthetic_embeddings/laion_7plus.pt
+python scripts/txt2img.py --prompt "A portal towards other dimension" --plms  --seed 332 --aesthetic_steps 0 --aesthetic_embedding aesthetic_embeddings/sac_8plus.pt
 ```
 
-![sample](assets/grid-0135.png)
+![sample](assets/grid-0075.png)
+
+Note that since we have used the SAC dataset for the personalization, the optimized results are more biased towards fantasy aesthetics.
+
+Now we turn to another example. 
 
 To see more examples, have a look at https://arxiv.org/abs/2209.12330