Update README.md

README.md

@@ -4,4 +4,36 @@ datasets:
 - ChristophSchuhmann/LAION-5B-EN-Aesthetics-Subset_above_6
 ---
 
-![banner-large.jpeg](https://s3.amazonaws.com/moonup/production/uploads/1673968679262-62bd5f951e22ec84279820e8.jpeg)
+![banner-large.jpeg](https://s3.amazonaws.com/moonup/production/uploads/1674039767068-62bd5f951e22ec84279820e8.jpeg)
+
+Image Mixer is a model that lets you combine the concepts, styles, and compositions from multiple images (and text prompts too) and generate new images.
+
+It was trained by [Justin Pinkney](https://www.justinpinkney.com) at [Lambda Labs](https://lambdalabs.com/).
+
+## Training details
+
+This model is a fine tuned version of [Stable Diffusion Image Variations](https://huggingface.co/lambdalabs/sd-image-variations-diffusers) 
+it has been trained to accept multiple CLIP embedding concatenated along the sequence dimension (as opposed to 1 in the original model). 
+During training up to 5 crops of the training images are taken and CLIP embeddings are extracted, these are concatenated and used as the conditioning for the model.
+At inference time, CLIP embeddings from multiple images can be used to generate images which are influence by multiple inputs.
+
+Training was done at 640x640 on a subset of LAION improved aesthetics, using 8xA100 from [Lambda GPU Cloud](https://cloud.lambdalabs.com).
+
+## Usage
+
+The model is available on [huggingface spaces](https://huggingface.co/spaces/lambdalabs/image-mixer-demo) or to run locally do the following:
+
+```bash
+git clone https://github.com/justinpinkney/stable-diffusion.git
+cd stable-diffusion
+git checkout 1c8a598f312e54f614d1b9675db0e66382f7e23c
+python -m venv .venv --prompt sd
+. .venv/bin/activate
+pip install -U pip
+pip install -r requirements.txt
+python scripts/gradio_image_mixer.py
+```
+
+Then navigate to the gradio demo link printed in the terminal.
+
+For details on how to use the model outside the app refer to the [`run` function](https://github.com/justinpinkney/stable-diffusion/blob/c1963a36a4f8ce23784c8247fa1af0e34e02b766/scripts/gradio_image_mixer.py#L79) in `gradio_image_mixer.py`