Update README.md

README.md

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 license: apache-2.0
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+ GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models
+
+**Paper**: [GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models](https://arxiv.org/abs/2112.10741)
+
+**Abstract**:
+
+*Diffusion models have recently been shown to generate high-quality synthetic images, especially when paired with a guidance technique to trade off diversity for fidelity. We explore diffusion models for the problem of text-conditional image synthesis and compare two different guidance strategies: CLIP guidance and classifier-free guidance. We find that the latter is preferred by human evaluators for both photorealism and caption similarity, and often produces photorealistic samples. Samples from a 3.5 billion parameter text-conditional diffusion model using classifier-free guidance are favored by human evaluators to those from DALL-E, even when the latter uses expensive CLIP reranking. Additionally, we find that our models can be fine-tuned to perform image inpainting, enabling powerful text-driven image editing.*
+
+## Usage
+
+```python
+# !pip install diffusers
+from diffusers import DiffusionPipeline
+import PIL.Image
+import numpy as np
+
+model_id = "fusing/glide-base"
+
+# load model and scheduler
+ddpm = DiffusionPipeline.from_pretrained(model_id)
+
+# run pipeline in inference (sample random noise and denoise)
+image = ddpm(eta=0.0, num_inference_steps=50)
+
+# process image to PIL
+image_processed = image.cpu().permute(0, 2, 3, 1)
+image_processed = (image_processed + 1.0) * 127.5
+image_processed = image_processed.numpy().astype(np.uint8)
+image_pil = PIL.Image.fromarray(image_processed[0])
+
+# save image
+image_pil.save("test.png")
+```
+
+## Samples
+
+1. ![sample_1](https://huggingface.co/datasets/patrickvonplaten/images/resolve/main/hf/ddim-lsun-bedroom/image_0.png)
+2. ![sample_1](https://huggingface.co/datasets/patrickvonplaten/images/resolve/main/hf/ddim-lsun-bedroom/image_1.png)
+3. ![sample_1](https://huggingface.co/datasets/patrickvonplaten/images/resolve/main/hf/ddim-lsun-bedroom/image_2.png)
+4. ![sample_1](https://huggingface.co/datasets/patrickvonplaten/images/resolve/main/hf/ddim-lsun-bedroom/image_3.png)