readme re-order

README.md

@@ -55,6 +55,18 @@ image = pipe(prompt, num_inference_steps=4, guidance_scale=0).images[0]
    <img style="width:400px;" src="images/raccoon.png">
 </p>
 
+# How to use in Comfy?
+
+To use FlashSDXL locally using Comfyui you need to :
+
+1. Make sure your comfyUI install is up to date
+2. Download the checkpoint from [huggingface](https://huggingface.co/jasperai/flash-sdxl).
+   In case you wonder how, go to "Files and Version" go to `comfy/` folder and hit the download button next to the `FlashSDXL.safetensors`
+3. Move the new checkpoint file to your local `comfyUI/models/loras/.` folder
+4. Use it as a LoRA on top of `sd_xl_base_1.0_0.9vae.safetensors`, a simple comfyui `workflow.json` is provided in this repo (available in the same `comfy/` folder)
+
+> Disclaimer : Model has been trained to work with a cfg scale of 1 and a lcm scheduler but parameters can be tweaked a bit.
+
 # Combining Flash Diffusion with Existing LoRAs 🎨
 
 FlashSDXL can also be combined with existing LoRAs to unlock few steps generation in a **training free** manner. It can be integrated straight to Hugging Face pipelines. See an example below.
@@ -98,17 +110,7 @@ image = pipe(
    <img style="width:400px;" src="images/corgi.jpg">
 </p>
 
-# How to use in Comfy?
-
-To use FlashSDXL locally using Comfyui you need to :
-
-1. Make sure your comfyUI install is up to date
-2. Download the checkpoint from [huggingface](https://huggingface.co/jasperai/flash-sdxl).
-   In case you wonder how, go to "Files and Version" go to `comfy/` folder and hit the download button next to the `FlashSDXL.safetensors`
-3. Move the new checkpoint file to your local `comfyUI/models/loras/.` folder
-4. Use it as a LoRA on top of `sd_xl_base_1.0_0.9vae.safetensors`, a simple comfyui `workflow.json` is provided in this repo (available in the same `comfy/` folder)
-
-> Disclaimer : Model has been trained to work with a cfg scale of 1 and a lcm scheduler but parameters can be tweaked a bit.
+> Hint 💡 : You can also use additional LoRA using the provided comfy workflow and test it on your machine.
 
 # Combining Flash Diffusion with Existing ControlNets 🎨