Update README.md

README.md

@@ -23,37 +23,29 @@ Kolors is a large-scale text-to-image generation model based on latent diffusion
 
 
 ## 🚀 Quick Start
-### Requirements
+### Using with Diffusers
+Make sure you upgrade to the latest version of diffusers: pip install -U diffusers. And then you can run:
+```python
+import torch
+from diffusers import KolorsPipeline
 
-* Python 3.8 or later
-* PyTorch 1.13.1 or later
-* Transformers 4.26.1 or later
-* Recommended: CUDA 11.7 or later
-<br>
-
-1. Repository cloning and dependency installation
+pipe = KolorsPipeline.from_pretrained(
+    "Kwai-Kolors/Kolors-diffusers",
+    torch_dtype=torch.float16,
+    variant='fp16',
+    trust_remote_code=True,
+    force_zeros_for_empty_prompt=False,)
+pipe = pipe.to("cuda")
 
-```bash
-apt-get install git-lfs
-git clone https://github.com/Kwai-Kolors/Kolors
-cd Kolors
-conda create --name kolors python=3.8
-conda activate kolors
-pip install -r requirements.txt
-python3 setup.py install
-```
-2. Weights download（[link](https://huggingface.co/Kwai-Kolors/Kolors)）：
-```bash
-huggingface-cli download --resume-download Kwai-Kolors/Kolors --local-dir weights/Kolors
-```
-or
-```bash
-git lfs clone https://huggingface.co/Kwai-Kolors/Kolors weights/Kolors
-```
-3. Inference：
-```bash
-python3 scripts/sample.py "一张瓢虫的照片，微距，变焦，高质量，电影，拿着一个牌子，写着“可图”"
-# The image will be saved to "scripts/outputs/sample_test.jpg"
+image = pipe(
+    "一张瓢虫的照片，微距，变焦，高质量，电影，拿着一个牌子，写着“可图”",
+    height=1024,
+    width=1024,
+    num_inference_steps=50,
+    guidance_scale=5.0,
+    generator= torch.Generator(pipe.device).manual_seed(66),
+).images[0]
+image.show()
 ```