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README.md

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+# Lambda Diffusers
+
+_Additional models and pipelines for 🤗 Diffusers created by [Lambda Labs](https://lambdalabs.com/)_
+
+![](https://raw.githubusercontent.com/justinpinkney/stable-diffusion/main/assets/im-vars-thin.jpg)
+
+Currently supports a fine-tuned version of Stable Diffusion conditioned on CLIP image embeddings to enabel Image Variations.
+
+[![Open Demo](https://img.shields.io/badge/%CE%BB-Open%20Demo-blueviolet)](https://47725.gradio.app/)
+[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1JqNbI_kDq_Gth2MIYdsphgNgyGIJxBgB?usp=sharing)
+[![Open in Spaces](https://img.shields.io/badge/%F0%9F%A4%97-Open%20in%20Spaces-orange)]()
+
+- Download the weights ported to 🤗 Diffusers [here](https://huggingface.co/lambdalabs/sd-image-variations-diffusers).
+- See the original training repo [here](https://github.com/justinpinkney/stable-diffusion).
+
+## Usage
+
+### Installation
+
+```bash
+git clone https://github.com/LambdaLabsML/lambda-diffusers.git
+cd lambda-diffusers
+python -m venv .venv
+source .venv/bin/activate
+pip install -r requirements.txt
+```
+
+```python
+from pathlib import Path
+from lambda_diffusers import StableDiffusionImageEmbedPipeline
+from PIL import Image
+import torch
+device = "cuda" if torch.cuda.is_available() else "cpu"
+pipe = StableDiffusionImageEmbedPipeline.from_pretrained("lambdalabs/sd-image-variations-diffusers")
+pipe = pipe.to(device)
+im = Image.open("your/input/image/here.jpg")
+num_samples = 4
+image = pipe(num_samples*[im], guidance_scale=3.0)
+image = image["sample"]
+base_path = Path("outputs/im2im")
+base_path.mkdir(exist_ok=True, parents=True)
+for idx, im in enumerate(image):
+    im.save(base_path/f"{idx:06}.jpg")
+```