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README.md

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 # ⚡ Flash Diffusion: FlashSD ⚡
 
-Flash Diffusion is a diffusion distillation method proposed in [ADD ARXIV]() *by Clément Chadebec, Onur Tasar, Eyal Benaroche, and Benjamin Aubin.*
+Flash Diffusion is a diffusion distillation method proposed in [Flash Diffusion: Accelerating Any Conditional
+Diffusion Model for Few Steps Image Generation](http://arxiv.org/abs/2406.02347) *by Clément Chadebec, Onur Tasar, Eyal Benaroche, and Benjamin Aubin.*
 This model is a **26.4M** LoRA distilled version of SD1.5 model that is able to generate images in **2-4 steps**. The main purpose of this model is to reproduce the main results of the paper.
 See our [live demo](https://huggingface.co/spaces/jasperai/FlashPixart).
 
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 # Training Details
-The model was trained for 20k iterations on 2 H100 GPUs (representing approx. a total **26 GPU hours** of training). Please refer to the [paper]() for further parameters details. 
+The model was trained for 20k iterations on 2 H100 GPUs (representing approx. a total **26 GPU hours** of training). Please refer to the [paper](http://arxiv.org/abs/2406.02347) for further parameters details. 
 
 **Metrics on COCO 2017 validation set (Table 1)**
 - FID-5k: 22.6 (2 NFE) / 22.5 (4 NFE)