T2I-Adapter
ControlNet
T2I-Adapter | ControlNet | |
---|---|---|
25 | 127 | |
3,158 | 27,882 | |
2.9% | - | |
7.9 | 4.1 | |
6 months ago | 2 months ago | |
Python | Python | |
Apache License 2.0 | Apache License 2.0 |
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T2I-Adapter
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Help me understand ControlNet vs T2I-adapter vs CoAdapter
I've found some documentation here https://github.com/TencentARC/T2I-Adapter/blob/SD/docs/coadapter.md
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Color-Diffusion: using diffusion models to colorize black and white images
Yeah, if you have a high res image, you can get color info at super low-res and then regenerate the colors at high res with another model. (though this isn't an efficient approach at all)
https://github.com/TencentARC/T2I-Adapter
i've also seen a controlnet do this.
- Uni-ControlNet: All-in-One Control to Text-to-Image Diffusion Models
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Reflected Diffusion Models
https://github.com/TencentARC/T2I-Adapter
It works with the Mikubill ControlNet plugin for A1111.
- Is it possible to replace objects with an already segmented image by ControlNet?
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ControlNet v1.1 has been released
These are from Tencent: https://github.com/TencentARC/T2I-Adapter
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Can someone explain some of these newer controlnet models and preprocessors? Clipvision? Color? Pidinet? Binary?
I think they're for T2I-adapter models, which can be downloaded here.
- T2I-Adapter: Text-to-Image Models with Unprecedented Control
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How do I combine two images using AUTOMATIC1111?
Apart from Controlnet, T2I Adapter works quite well for this. https://github.com/TencentARC/T2I-Adapter
- T2IAdapter creates Coadapter(inspired by Composer)
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.
What are some alternatives?
sd-webui-controlnet - WebUI extension for ControlNet
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.
style2paints - sketch + style = paints :art: (TOG2018/SIGGRAPH2018ASIA)
LoRA - Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
Color-diffusion - A diffusion model to colorize black and white images
Latent-Paint-Mesh - NVDiffrast based implementation of Latent-Paint
stable-diffusion-webui-prompt-travel - Travel between prompts in the latent space to make pseudo-animation, extension script for AUTOMATIC1111/stable-diffusion-webui.
ControlNet-v1-1-nightly - Nightly release of ControlNet 1.1
stable-diffusion-webui - Stable Diffusion web UI