diffusion-models-class
sd-webui-controlnet
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diffusion-models-class | sd-webui-controlnet | |
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22 | 247 | |
3,221 | 15,859 | |
5.5% | - | |
6.3 | 9.7 | |
19 days ago | 7 days ago | |
Jupyter Notebook | Python | |
Apache License 2.0 | GNU General Public License v3.0 only |
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diffusion-models-class
- diffusion low level question
- Here's a learning resource
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[R] Classifier-Free Guidance can be applied to LLMs too. It generally gives results of a model twice the size you apply it to. New SotA on LAMBADA with LLaMA-7B over PaLM-540B and plenty other experimental results.
When you use stable diffusion, you can adjust the classifier free guidance scale to control how much it follows the input prompt. From what I understand(check https://github.com/huggingface/diffusion-models-class/tree/main/unit3), what cfg does is that it generates an unconditional image and an image conditional on the text prompt, and then scale up the difference.
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Ai Coding roadmap
https://huggingface.co/learn/nlp-course/ https://huggingface.co/docs/transformers (go through the task guide) https://github.com/huggingface/diffusion-models-class http://d2l.ai/ https://www.youtube.com/watch?v=VMj-3S1tku0&list=PLAqhIrjkxbuWI23v9cThsA9GvCAUhRvKZ
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How does stable diffusion work from a technical perspective?
I couldn't understand the original paper(havent done meth in a long time). This blog post and short course help me to understand.
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Using SD programatically with APIs
The Diffusion Models Course is another good resource to learn more technical details.
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I made a generative 3D game and took a walk in the streets of Paris. Playback speed 30x
Next, you need to become familiar with the diffusion model. I recommend this huggingface's course(https://github.com/huggingface/diffusion-models-class) because it is very high quality and you will learn while using diffusers. At first glance, it may not seem directly related to this game, but in my case, knowing what is happening in diffusers helped me in many ways: trial and error, inspiration for ideas, etc. I had no knowledge of pytorch (the deep learning library used for diffusers), so I also took this course (https://www.udacity.com/course/deep-learning-pytorch--ud188) which was in the prerequisites for that huggingface's course. It was also very good.
- Sunt AI Research Scientist, AMA
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Dreambooth Hackaton: How can we use a text-to-image model to explore the cinematographic appeal of Torres del Paine 🇨🇱?
Hugging Face Dreambooth Hackaton details
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[N] Personalise Stable Diffusion models in DreamBooth Hackathon
Details: https://github.com/huggingface/diffusion-models-class/blob/main/hackathon/README.md
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?
deforum-stable-diffusion
ComfyUI - The most powerful and modular stable diffusion GUI, api and backend with a graph/nodes interface.
UnstableFusion - A Stable Diffusion desktop frontend with inpainting, img2img and more!
openpose-editor - Openpose Editor for AUTOMATIC1111's stable-diffusion-webui
tutorials - AI-related tutorials. Access any of them for free → https://towardsai.net/editorial
T2I-Adapter - T2I-Adapter
approachingalmost - Approaching (Almost) Any Machine Learning Problem
ControlNet - Let us control diffusion models!
pml-book - "Probabilistic Machine Learning" - a book series by Kevin Murphy
stable-diffusion-webui-colab - stable diffusion webui colab
deforumed-walk - Take a walk in the generated world.
stable-diffusion-webui - Stable Diffusion web UI