Sketches into Epic Art with 1 Click: A Guide to Stable Diffusion ControlNet in Automatic1111 Web UI

Playlist of #StableDiffusion Tutorials, Automatic1111 and Google Colab Guides, DreamBooth, Textual Inversion / Embedding, LoRA, AI Upscaling, Pix2Pix, Img2Img:

Automatic1111 Web UI Repo Link:

Paper Adding Conditional Control to Text-to-Image Diffusion Models :

Native Python App Video Tutorial of ControlNet :

Easiest Way to Install & Run StableDiffusion Web UI on PC by Using Open Source Automatic Installer:

How to use Stable Diffusion V2.1 and Different Models in the Web UI - SD 1.5 vs 2.1 vs Anything V3:

Stable Diffusion 1.5 Official model repo link:

ControlNet extension of Automatic1111 Web UI - Mikubill / sd-webui-controlnet:

8 GB LoRA Training - Fix CUDA Version For DreamBooth and Textual Inversion Training By Automatic1111:

Ultimate SD Upscale extension for AUTOMATIC1111 Stable Diffusion web UI:
FAQ:

0:00 Introduction to new amazing Stable Diffusion based #AI technology ControlNet
0:18 Canny Edge model of ControlNet
0:29 M-LSD Lines model of ControlNet
0:36 User Scribbles model of ControlNet
1:12 How to install Automatic1111 Web UI
2:54 Where to and how to put Stable Diffusion model inside Automatic1111 web UI
3:30 How to start Automatic1111 Web UI from which URL
3:33 How to install ControlNet extension in Automatic1111 Web UI
4:04 How to downgrade xformers version to be able to do training with Dreambooth or Textual Inversion
4:30 If you encounter any error for ControlNet extension run this pip command too
4:49 How to download ControlNet model files from Hugging Face repo
6:00 Where to put downloaded ControlNet models in the Automatic1111 installation
6:24 How to use ControlNet script / extension to use models
7:00 First image generation with ControlNet
7:30 How to get best results with User Scribbles model - sketch into masterpiece
8:05 Use anything v3 model to generate images when using ControlNet User Scribbles model
9:30 Canny Edge model example
10:09 How to get good results with Canny Edge model
10:48 Example of M-LSD Lines model
11:40 How did I generate the thumbnail used in this video
12:40 How to use ultimate SD upscaler to upscale your image with even adding more details to the image
12:57 How to update installed extensions in Automatic1111 Web UI
13:13 How to setup and use what settings for ultimate SD upscaler
14:30 Ultimate SD Upscaled version of the image
15:00 If you don't know what is Stable Diffusion if you don't know how to install web ui

Generative image AI models are becoming increasingly popular, as they offer exciting new ways to create digital artwork and visual media. One such model that has gained a lot of attention in recent years is the Stable Diffusion model, which is a free, open-source algorithm for generating high-quality images.

The Stable Diffusion model is based on a technique called diffusion processes, which involve gradually smoothing out noise in an image. This results in a progression of images that become progressively less noisy and more detailed over time. By controlling the speed and direction of the diffusion process, the model can be used to generate a wide variety of images, ranging from abstract art to realistic photos.

Another advantage of the Stable Diffusion model is its versatility. Because it is based on a probabilistic process, it can be used to generate a wide variety of different types of images, from landscapes to portraits to abstract art. This makes it an ideal tool for artists and designers who want to experiment with different styles and techniques.

[SECourses]

Please join discord, mention me and ask me any questions. Thank you for like, subscribe, share and Patreon support. I am open to private consulting with Patreon subscription
"If you want to get those awesome results like in the original ControlNet version I highly suggest that you use the text2img tab (like shown in this video). Using ControlNet with the img2img function (as shown in a video by a different channel) didn't give me the results I expected."

[snoweh]

Mate I gotta say thank you for being so thorough in your videos. You've answered so many old questions that I've spent the last few days researching. Even small things like downgrading xformers 0.0.14 because it's got problems with training, which I have been running into. Your videos are also very easy to follow, but not so slow that you fall asleep. 10/10

[SergeyPower]

Very well put together tutorial, got it working with no problems, huge thanks for the effort!

[andrewheisler]

I had no idea you can open the command line from a folder that way. You learn something new everyday.

[sadelcri]

nice video bro, you are super fast and your tutorials are so clear and concise. Good job

[thedisciplinedweeb]

for youtube algorythm love your content

[wakegary]

Hope you're making some decent ad money. Great work, friend. You truly know the architecture of all of this.

[monali]

If you want to get those awesome results like in the original ControlNet version I highly suggest that you use the text2img tab (like shown in this video). Using ControlNet with the img2img function (as shown in a video by a different channel) didn't give me the results I expected.

[coda]

Thank you for making this easy for us mere mortals to understand.

[mgmmotiondesigns]

I'm only listening to you for now on. I couldn't figure out why I lost Controlnet and Dreambooth, or why I couldn't reinstall them. Thank you for this video!

[badqualitygames]

Hi,
can I use the ControlNet to create an image sequence with the Batch function in Automatic1111 or is it just for single images?

[danieliha]

You should turn on the preprocessor to match the control net model

[serdartepekule]

Bu aksanı nerede olsa tanırım, Türk mü acaba bunu anlatan :D

[pastuh]

Would be nice to get transparent background for that eagle :D

[Atomzk]

Tried to add it to an existing automatic1111 installation, but no ControlNet button appears in the interface. No errors either. Guess you really have to do a fresh install...

[ZeroCool]

Can you link the Preprocessor MIDAS please?

[vadimkrs]

Hey thank you for the great tutorial! But after i installed the "ultimate sd upscale" extension like in your video, all my upscale models were deleted except ESGRAN4x 😣. what could be the reason and how can i restore the other upscale models without reinstalling the whole sd folder?

[bayz]

Thanks for the great tutorial! However, I'm having problem using the ControlNet after successfully installed. When I run it, it shows: RuntimeError: Expected all tensors to be on the same device, but found at least two devices, cpu and cuda:0! (when checking argument for argument index in method wrapper__index_select). Has anyone seen the same error?

[karlderkafer]

ControlNet is incredible. Great course, however, the extension now has a lot of new setting options.

[salehjamali]

is there a way to use it in cloud or somewhere it uses GPU not of my laptop. please