I. Overview
This chapter is the fourth part of the " Stable Diffusion from Entry-level to Enterprise-level Practical Practice " series, the advanced capability chapter "Stable Diffusion ControlNet v1.1 Precise Image Control", Section 01, which uses the Stable Diffusion ControlNet Inpaint model to accurately control image generation. The content of this part is located in the entire Stable Diffusion ecosystem as shown in the yellow part of the figure below:
Stable Diffusion Inpaint refers to the technology of image completion using the Stable Diffusion model. Stable Diffusion is a generative adversarial network (GAN) that can generate images based on text cues. Image completion (image inpainting) is a task of filling in occluded or missing areas in an image, such as removing watermarks in pictures, repairing old photos, etc.
Combining the two, image completion based on Stable Diffusion can be realized. The main idea is:
- Process the input image and mark the areas that need to be completed.
- Use text to describe the content of the area that needs to be completed, as a text prompt for Stable Diffusion.
- Stable Diffusion will generate the content of the completion area according to the text prompt to match the semantics and style of the entire image.
- Fill the generated completion content into the specified area of the input image, and output the completion result.
Compared with traditional completion methods, image completion based on Stable Diffusion can generate more realistic and semantically consistent results. It utilizes the powerful image generation ability of Stable Diffusion to infer the reasonable content of the completion area according to the context. This makes the technique show great potential in many image editing tasks.
2. Creative achievements
Using partial redrawing technology, by masking part of the area, the precise image control effect achieved is shown in the following figure:
3. Creative process
3.1 Working steps
Environment deployment, model download, and actual operation
3.2 Environment deployment
3.3 Model download
3.4 Practical operation
4. Summary
This article is the fourth part of the series "Stable Diffusion from entry-level to enterprise-level application practice", the advanced capability chapter "Stable Diffusion ControlNet v1.1 Precise Image Control", the 010th article "Using Stable Diffusion ControlNet Inpaint Partial Redraw Model to Precisely Control Images generate". In the next chapter, we will share Chapter 0402 of "Stable Diffusion ControlNet v1.1 Precise Image Control" " Using the Stable Diffusion ControlNet Openpose Model to Precisely Control Image Generation ". Stay tuned.