controlnet-colab VS sd-webui-controlnet

Here's a few bonus OpenAI charcuterie: https://twitter.com/minimaxir/status/1633635144249774082

1. I used a ControlNet Colab from here based on SD 1.5 and the original ControlNet app: https://github.com/camenduru/controlnet-colab

2. Screenshotted a B/W OpenAI logo from their website.

3. Used the Canny adapter and the prompt: charcuterie board, professional food photography, 8k hdr, delicious and vibrant

Now that ControlNet is in diffusers, my next project will be creating an end-to-end workflow for these types of images.

I get this link on this GitHub page: https://github.com/camenduru/controlnet-colab

Camenduru made a repository on github with all his colabs adapted for ControlNet, check it here

This unofficial GitHub repo added a link to this Colab notebook for transferring control to other Stable Diffusion models. I haven't tried it.

A crucial step for achieving stable diffusion controlnet settings is the installation of the controlnet extension in Google Colab. Whether on a Windows PC or Mac, installing controlnet is vital for stable diffusion of human pose details. Additionally, updating the controlnet extension is necessary to maintain stability and achieve the desired results in OpenPose model. To install the v1.1 controlnet extension, go to the “extensions” tab and install it from this URL: https://github.com/Mikubill/sd-webui-controlnet. If you already have v1 controlnets installed, delete the folder from stable-diffusion-webui/extensions/. Install the v1.

1.1.420 Image-wise ControlNet and StyleAlign

I opened a request thread on ControlNet GitHub you can give a support : https://github.com/Mikubill/sd-webui-controlnet/issues/2319

It has been possible for 7 months now

I sometimes use a very similar technique in Cinema4d (here is a link to a c4d file with preset materials referencing proper colors for Semantic Segmentation if any other c4d user wants to try it), but yours is a much more accessible solution as it's free and it's accessible online.

There are models available that give you more control - in some senses, at least.

For example, you can use Stable Diffusion with 'ControlNet' [1] where for example, you can input an 'openpose' to choose the pose of people in the scene.

There's also a 'Regional Prompter' [2] which lets you use different prompts for different areas of the image, giving you some control over the composition.

You can also use 'inpainting' to regenerate select parts of your image if, for example, you don't like the shape of the clouds.

Of course this stuff isn't perfect - for example, you'll get hands with the wrong number of fingers sometimes, no matter what you specify :)

[1] https://github.com/Mikubill/sd-webui-controlnet