Move samples to the end, link to blog and docs

README.md

@@ -11,12 +11,7 @@ inference: true
 ---
     
 # LoRA text2image fine-tuning - https://huggingface.co/pcuenq/pokemon-lora
-These are LoRA adaption weights trained on base model https://huggingface.co/runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the lambdalabs/pokemon-blip-captions dataset. You can find some example images in the following. 
-
-![img_0](./image_0.png)
-![img_1](./image_1.png)
-![img_2](./image_2.png)
-![img_3](./image_3.png)
+These are LoRA adaption weights trained on base model https://huggingface.co/runwayml/stable-diffusion-v1-5. The weights were fine-tuned on the lambdalabs/pokemon-blip-captions dataset.
 
 ## How to Use
 
@@ -41,3 +36,12 @@ pipe.to("cuda")
 image = pipe("Green pokemon with menacing face", num_inference_steps=25).images[0]
 image.save("green_pokemon.png")
 ```
+
+Please, check [our blog post](https://huggingface.co/blog/lora) or [documentation](https://huggingface.co/docs/diffusers/v0.15.0/en/training/lora#text-to-image-inference) for more details.
+
+## Example Images
+
+![img_0](./image_0.png)
+![img_1](./image_1.png)
+![img_2](./image_2.png)
+![img_3](./image_3.png)