fix: Update README.md

README.md

@@ -15,21 +15,21 @@ tags:
 
 # Flux.1 Lite
 
-We want to announce the alpha version of our new distilled Flux.1 Lite model, an 8B parameter transformer model distilled from the original Flux1. dev model.
+We are excited to announce the alpha version of our new distilled Flux.1 Lite model, an 8B parameter transformer model distilled from the original Flux1. dev model.
 
-Our goal is to further reduce FLUX.1-dev transformer parameters up to 24Gb to make it compatible with most of GPU cards.
+Our goal is to further reduce FLUX.1-dev transformer parameters to approximately 24 GB to make it compatible with most of GPU cards.
 
 ![Flux.1 Lite vs FLUX.1-dev](./sample_images/models_comparison.png)
 
 ## Motivation
 
-As stated by other members of the community like [Ostris](https://ostris.com/2024/09/07/skipping-flux-1-dev-blocks/), it seems that each of the blocks of the Flux1.dev transformer is not contributing equally to the final image generation. To confirm this hypothesis, we can measure the MSE between the input and the output of each block. As we can see in the following images, the mse differs a lot between the different blocks.
+As stated by other members of the community like [Ostris](https://ostris.com/2024/09/07/skipping-flux-1-dev-blocks/), it seems that each of the blocks of the Flux1.dev transformer is not contributing equally to the final image generation. To confirm this hypothesis, we can measure the Mean Squared Error (MSE) between the input and the output of each block. As we can see in the following images, the mse differs a lot between the different blocks.
 
 ![Flux.1 Lite generated image](./sample_images/skip_blocks/generated_img.png)
 ![MSE MMDIT](./sample_images/skip_blocks/mse_mmdit_img.png)
 ![MSE DIT](./sample_images/skip_blocks/mse_dit_img.png)
 
-Furthermore, as displayed in the following image, only when you skip one of the first MMDIT blocks, the performance of the model is severely affected.
+Furthermore, as displayed in the following image, only when you skip one of the first MMDIT blocks, the performance of the model severely impacts the model's performance.
 ![Skip one MMDIT block](./sample_images/skip_blocks/skip_one_MMDIT_block.png)
 ![Skip one DIT block](./sample_images/skip_blocks/skip_one_DIT_block.png)
 
@@ -54,7 +54,7 @@ pipe = FluxPipeline.from_pretrained(
 # Inference
 prompt = "A close-up image of a green alien with fluorescent skin in the middle of a dark purple forest"
 
-guidance_scale = 3.5  # Important to keep guidance_scale to 3.5
+guidance_scale = 3.5  # Keep guidance_scale at 3.5
 n_steps = 28
 seed = 11
 
@@ -78,7 +78,7 @@ We also provided a ComfyUI workflow in `comfy/flux.1-lite_workflow.json`
 * `flux.1-lite-8B-alpha.safetensors`: Transformer checkpoint, in Flux original format.
 * `transformers/`: Contains distilled 8B transformer model, in diffusers format.
 
-## 🤗 Hugging Face demo: 
+## 🤗 Hugging Face space: 
 Flux.1 Lite demo host on [🤗 flux.1-lite](https://huggingface.co/spaces/Freepik/flux.1-lite)
 
 ## 🔥 News 🔥