WebUI extension for ControlNet (by Mikubill)

Sd-webui-controlnet Alternatives

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sd-webui-controlnet reviews and mentions

Posts with mentions or reviews of sd-webui-controlnet. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-22.
  • Are there free cloud based INVOKE AI models?
    2 projects | | 22 Mar 2023
    !git clone /workspace/stable-diffusion-webui/extensions/sd-webui-controlnet
  • I'm developing an Aseprite plugin for pixel art gamedev that I hope will find as useful as I do!
    2 projects | | 21 Mar 2023
    I'm using this Web UI to run Stable Diffusion locally; you need to have a pretty good graphics card to run it, unless you want to use Google Collab. There are instructions on how to set it up here ( After that all I did was pick the pixel model I linked above and generate with different prompts. I also used a ControlNet extension ( to fix all the output to a specific pose (more info at that link.)
  • Any way to batch process openpose?
    2 projects | | 20 Mar 2023
  • New ControlNet Model Trained on Face Landmarks
    3 projects | | 19 Mar 2023
  • Approaching more complex compositions other than just a sexy pose for anime?
    2 projects | | 18 Mar 2023
    a control net is an additional network that hooks into the diffusion network. They take an additional input specifying some kind of desired constraint on the final image which is then communicated to the diffusion network. I can for instance with words tell the diffusion model what I roughly want to see, but with a control network I can tell it that e.g. I want a hard edge in this part of the image, or I want a character taking this pose, or that this part of the image should be drawn as if far away, etc. You can find a webui extention for automatic over here
  • Openpose extension tab not visible
    7 projects | | 14 Mar 2023
    I should have added it to the comment aswell, but if u cant find it at the automatic1111 extensions, here its the github link so you can add it manualy through "install from URL" tab
    7 projects | | 14 Mar 2023
  • Automatic1111 > ControlNet API sending 422 server error
    2 projects | | 13 Mar 2023
  • New Feature: "ZOOM ENHANCE" for the A111 WebUI. Automatically fix small details like faces and hands!
    7 projects | | 12 Mar 2023
  • Large language models are having their Stable Diffusion moment
    10 projects | | 11 Mar 2023
    One thing I think will be different and that had totally escaped my radar until recently is just the enormous and diverse community that has been developing around Stable Diffusion, which I think will be less likely to form with language models.

    I just recently tried out one of the most popular [0] Stable Diffusion WebUIs locally, and I'm positively surprised at how different it is to the rest of the space around ML research/computing. I consider myself to be a competent software engineer, but I still often find it pretty tricky to get e.g. HuggingFace models running and doing what I envision them to do. SpeechT5 for instance is reported to do voice transformations, but it took me a good bit of time and hair-pulling to figure out how to extract voice embeddings from .wav files. I'm sure the way to do this is obvious to most researchers, maybe to the point of feeling like this needs not a mention in the documentation, but it certainly wasn't clear to me.

    The community around Stable Diffusion is much more inclusive, though. Tools go the extra effort to be easy to use, and documentation for community created models/scripts/tools is so accessible as to be perfectly usable by a non-technical user who is willing to adventure a little bit into the world of hardcore computing by following instructions. Sure, nothing is too polished and you often get the feeling that it's "an ugly thing, but an ugly thing that works", but the point is that it's incredibly accessible. People get to actually use these models to build their stories, fantasy worlds, to work, and things get progressively more impressive as the community builds upon itself (I loved the style of [1] and even effortlessly merged its style with another one in the WebUI, and ControlNet [2] is amazing and gives me ideas for integrating my photography with AI).

    I think the general interest in creating images is larger than for LLMs with their current limitations (especially in current consumer-available hardware). I do wonder how much this community interest will boost the spaces in the longer run, but right now I can't help but be impressed by the difference in usability and collaborative development between image generative and other types of models.




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