sd-webui-lobe-theme
sd-webui-controlnet
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77 | 247 | |
2,198 | 15,979 | |
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9.3 | 9.6 | |
3 days ago | 7 days ago | |
TypeScript | Python | |
GNU Affero General Public License v3.0 | GNU General Public License v3.0 only |
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sd-webui-lobe-theme
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Upscayl – Free and Open Source AI Image Upscaler
upscayl is very approachable, but lacked many features i needed. i ended up using https://github.com/AUTOMATIC1111/stable-diffusion-webui after upscaling became part of my regular workflow, but for someone who just needs a few images enhanced, it's an ideal tool.
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The Basics of AI Image Generation: How to create your own AI-generated image using Stable Diffusion on your local machine.
For the Git alternative, simply right-click on the location you want to put the Stable Diffusion and select “Git Bash Here”, then paste this on the CLI: git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui
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Stable Cascade
ComfyUI is similar to Houdini in complexity, but immensely powerful. It's a joy to use.
There are also a large amount of resources available for it on YouTube, GitHub (https://github.com/comfyanonymous/ComfyUI_examples), reddit (https://old.reddit.com/r/comfyui), CivitAI, Comfy Workflows (https://comfyworkflows.com/), and OpenArt Flow (https://openart.ai/workflows/).
I still use AUTO1111 (https://github.com/AUTOMATIC1111/stable-diffusion-webui) and the recently released and heavily modified fork of AUTO1111 called Forge (https://github.com/lllyasviel/stable-diffusion-webui-forge).
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Show HN: I made a local wrapper for Automatic 1111
Seems like an interesting project. Regarding the name, is there permission to use something so similar to AUTOMATIC1111 [1]?
> Diffusers will Cuda out of memory/perform very slowly for huge generations, like 2048x2048 images, while Auto 1111 SDK won't.
Do we have some numbers on this? I have seen AUTOMATIC1111 fall-over whilst using only half the available of GPU VRAM - there seems to be some weirdness where it tries to allocate before de-allocating the last batch or something.
> You can use any of the 6 compatible RealEsrgran models/weights with our RealEsrgran pipeline for upscaling images. Here are the model ids:
I've previously had trouble trying to use AUTOMATIC1111 upscalers, it seems like it needs more GPU VRAM than just generating the image already upscaled.
[1] https://github.com/AUTOMATIC1111/stable-diffusion-webui
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Stable Code 3B: Coding on the Edge
You might be thinking of Fooocus: https://github.com/lllyasviel/Fooocus
The Stable Diffusion web interface that got a lot of people's attention originally was Automatic1111: https://github.com/AUTOMATIC1111/stable-diffusion-webui
Fooocus is definitely more beginner friendly. It does a lot of the prompt engineering for you. Automatic1111 has a ton of plugins, most notably ControlNet which gives you fine grained control over the images, but there is a learning curve.
- Google Imagen 2
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Free or "practically-free" Ai picture generator?
Stable Diffusion https://github.com/AUTOMATIC1111/stable-diffusion-webui
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Things to do, to put my old PC to use?
Make it into a stable diffusion server!
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GTA 6 trailer screencaps, photorealistic style
There's no link version, you have to run it locally. You install it from here
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Automatic1111 v1.7.0-RC published
Repository: AUTOMATIC1111/stable-diffusion-webui · Tag: v1.7.0-RC · Commit: 48fae7c · Released by: AUTOMATIC1111
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
What are some alternatives?
stable-diffusion-webui - Stable Diffusion web UI
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
openpose-editor - Openpose Editor for AUTOMATIC1111's stable-diffusion-webui
automatic - SD.Next: Advanced Implementation of Stable Diffusion and other Diffusion-based generative image models
T2I-Adapter - T2I-Adapter
stable-diffusion-webui-directml - Stable Diffusion web UI
ControlNet - Let us control diffusion models!
stable-diffusion-webui-ux - Stable Diffusion web UI UX
stable-diffusion-webui-colab - stable diffusion webui colab