sd-webui-controlnet
ControlNet-v1-1-nightly
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sd-webui-controlnet | ControlNet-v1-1-nightly | |
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247 | 31 | |
15,859 | 4,314 | |
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9.7 | 8.4 | |
6 days ago | 6 months ago | |
Python | Python | |
GNU General Public License v3.0 only | - |
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sd-webui-controlnet
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OpenPose ControlNet: A Beginner's Guide
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.
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StyleAligned node for ComfyUI
1.1.420 Image-wise ControlNet and StyleAlign
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PATCHFUSION is really impressive. High resolution depth maps in 16bit. I've been waiting for this. https://github.com/zhyever/PatchFusion
I opened a request thread on ControlNet GitHub you can give a support : https://github.com/Mikubill/sd-webui-controlnet/issues/2319
- Going to lose my mind at this point with this problem
- Samples of style-aligned
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Is it possible to outpaint with SD or SDXL as easy as with photoshop? (no prompts)
It has been possible for 7 months now
- Reference Only Broken (Can someone with a working Reference Only CN upload there extension folder)
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Web app prototype to create controlnet segmentation maps for Stable Diffusion
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.
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Dalle-3 Examples
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
- ControlNet SDXL for Automatic1111-WebUI official release: sd-webui-controlnet 1.1.400
ControlNet-v1-1-nightly
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Making a ControlNet inpaint for sdxl
1- https://github.com/lllyasviel/ControlNet-v1-1-nightly/issues/89
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AI Yearbook Photos Workflow with Stable Diffusion 1.5 Automatic1111
Install ControlNet and download the models you want to use (canny/depth/openpose should be enough for this): https://github.com/lllyasviel/ControlNet-v1-1-nightly
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can you downgrade Controlnet?
you can find the previous version on their git and if it's a previous version of v1.1 then you probably have to search for the right branch on the new git version and download that
- Could you help me with this problem?
- Controlnet v1.1 Lineart
- Request for current ControlNet information
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AI conceptual massing iterations within a context image with input control sketch
Stable Diffusion: https://huggingface.co/runwayml/stable-diffusion-v1-5 with ControlNet extension: https://github.com/lllyasviel/ControlNet-v1-1-nightly running on Automatic1111 web UI: https://github.com/AUTOMATIC1111/stable-diffusion-webui
- Inpaint Anything (uses "Segment Anything") - Cool A1111 Extension not (yet) on the in App list
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Architectural design using Stable Diffusion and ControlNet
Sure thing, after testing midjourney a bit I found out that yhe quality of images produced is best but you have zero control on over what is produced. The big breakthrough here is ControlNet which is a Stable Diffusion extension that makes you control the initial noise based on image inputs (or at least this is what i understand) more on it here: https://github.com/lllyasviel/ControlNet-v1-1-nightly
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Setting Removed from ControlNET - "Skip img2img processing when using img2img initial image" - why?
https://github.com/lllyasviel/ControlNet-v1-1-nightly/issues/61 it seems get removed as duplicated.
What are some alternatives?
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
ControlNet - Let us control diffusion models!
openpose-editor - Openpose Editor for AUTOMATIC1111's stable-diffusion-webui
sd-webui-reactor - Fast and Simple Face Swap Extension for StableDiffusion WebUI (A1111 SD WebUI, SD WebUI Forge, SD.Next, Cagliostro)
T2I-Adapter - T2I-Adapter
ControlNet-v1-1-nightly-colab - controlnet v1.1 colab
style2paints - sketch + style = paints :art: (TOG2018/SIGGRAPH2018ASIA)
stable-diffusion-webui-colab - stable diffusion webui colab
sd-webui-inpaint-anything - Inpaint Anything extension performs stable diffusion inpainting on a browser UI using masks from Segment Anything.
stable-diffusion-webui - Stable Diffusion web UI