ControlNet
sd-webui-controlnet
ControlNet | sd-webui-controlnet | |
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127 | 247 | |
27,964 | 15,921 | |
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4.1 | 9.6 | |
2 months ago | 7 days ago | |
Python | Python | |
Apache License 2.0 | GNU General Public License v3.0 only |
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ControlNet
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With the recent developments, It looks like AI art is finally beginning to evolve in the right direction
It`s all possible. Have a look into Automatic1111`s Web UI, ControlNet, OpenPose and, if you don`t have a dedicated GPU with at least 8GB of VRAM, or at least 16GB of RAM to use the CPU, you can also use Stable Horde to use the webUI with a peer-to-peer connection, where you`ll only use a fraction of your resources, but you`ll be able to use local AI models with all the bells and whistles that you won`t get from "state-of-the-art" paid services.
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AI "Artists" Are Lazy, and the Ultimate Goal of AI Image Generation (hint: its sloth)
Next up is ControlNet. Controlnet, as Illyasviel--creator of controlnet--describes it, "let's us control diffusion models!." ControlNet is a neural network structure to control diffusion models by adding extra connections. [8]. There is more to that than what I described, but the big take-away is that ControlNet takes a preprocessed image that you provide (or is generated) and uses that as a way of constraining the output the sampler's noise generates, allowing you to have a bit more control of the output. ControlNet is typically used for character or scene "artwork", which previously would have been a challenge with just prompting alone (at least with this current architecture).
- Making a ControlNet inpaint for sdxl
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[P5V6P2] Mother and Daughter (by azfumi)
For your first part of the comment, I can simply refer you to technologies like ControlNet, LoRA and prompt embedding: https://github.com/lllyasviel/ControlNet https://github.com/microsoft/LoRA
- Calling yourself an AI artist is almost exactly the same as calling yourself a cook for heating readymade meals in a microwave
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Why is the AI not listening to my prompts?
Here you can see what every controlnet preprocessor and model do, to give you an idea of how to use
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Can't get img2img working well
Ya, it takes awhile to really start getting comfortable with the wonkiness. If you are trying to do something specific, look for a LoRA, but in general I'd recommend you get controlnet so you can feed it a reference image. Another simple trick is to edit the image a bit in GIMP or a photo editor to get the color scheme you like and then feed it back to img2img at low denoising (0.1-0.2) to refine it. You can also add just garishly bad cartoon drawing or photoshop in assets and img2img will usually make something of them and blend them into your image, I find this easier than using img2img scribble.
- ControlNet on A1111 seems to have been broken in the new update
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Can anyone help me install SD and ControlNet on my Mac pro M1?
If there are no errors, go to the "Extensions" tab, then "Install from URL". There, enter "https://github.com/lllyasviel/ControlNet" then click "Install".
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According to the poll on the recent thread, /r/dalle2 community decided to keep the subreddit restricted on Reddit.
This is a good place to start reading. Given the open-source nature of SD, there are setups of various difficulty available. A1111 is the "standard" people enjoy because it's easy to plug in new stuff (ControlNet, new models, etc.), but it's not inherently easy to set up and get going. There is an installer for it, but I haven't tried it.
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?
InvokeAI - InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
lora - Using Low-rank adaptation to quickly fine-tune diffusion models.
openpose-editor - Openpose Editor for AUTOMATIC1111's stable-diffusion-webui
LoRA - Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
T2I-Adapter - T2I-Adapter
stable-diffusion-webui-prompt-travel - Travel between prompts in the latent space to make pseudo-animation, extension script for AUTOMATIC1111/stable-diffusion-webui.
stable-diffusion-webui-colab - stable diffusion webui colab
stable-diffusion-webui - Stable Diffusion web UI
sd-webui-depth-lib - Depth map library for use with the Control Net extension for Automatic1111/stable-diffusion-webui
stable-diffusion-webui-directml - Stable Diffusion web UI