flux fill notebook

Author: eaidova

notebooks/flux-fill/README.md

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+# Image inpainting and outpainting with FLUx.1 Fill
+
+inpainting is the task of replacing or editing a specific area of the input image. This makes it a useful tool for image restoration like removing defects and artifacts, or even replacing an image area with something entirely new. Inpainting relies on a mask to determine which regions of an image to fill in; the area to inpaint is represented by white pixels and the area to keep is represented by black pixels. The white pixels are filled in by the prompt.
+FLUX.1 Fill introduces advanced inpainting capabilities that surpass existing approaches.  It allows for seamless edits that integrate naturally with existing images. 
+
+![](https://github.com/user-attachments/assets/3598a8e1-526b-4571-8d73-200dcde92430)
+
+Additionally, FLUX.1 Fill supports outpainting, enabling the user to extend images beyond their original borders.
+
+![](https://github.com/user-attachments/assets/0e195ef2-fc5d-4eca-b32f-08cdd646199f)
+
+You can find more details about the model in [blog post](https://blackforestlabs.ai/flux-1-tools/) and [model card](https://huggingface.co/black-forest-labs/FLUX.1-Fill-dev)
+
+In this tutorial, we consider how to convert and optimize FLUX.1 Fill for performing image editing using text prompt and binary mask.
+
+### Notebook Contents
+
+In this demonstration, you will learn how to perform inpainting and outpainting using Flux.1 and OpenVINO. 
+
+Example of model work:
+
+![](https://github.com/user-attachments/assets/2cc19c7c-2d68-4a33-b143-226319888bd6)
+
+The tutorial consists of the following steps:
+
+- Install prerequisites
+- Collect Pytorch model pipeline
+- Convert model to OpenVINO intermediate representation (IR) format 
+- Compress weights using NNCF
+- Prepare OpenVINO Inference pipeline
+- Run model
+- Launch interactive demo
+
+## Installation Instructions
+
+This is a self-contained example that relies solely on its own code.</br>
+We recommend running the notebook in a virtual environment. You only need a Jupyter server to start.
+For further details, please refer to [Installation Guide](../../README.md).
+
+<img referrerpolicy="no-referrer-when-downgrade" src="https://static.scarf.sh/a.png?x-pxid=5b5a4db0-7875-4bfb-bdbd-01698b5b1a77&file=notebooks/flux-fill/README.md" />