stablediffusion VS civitai

With this tutorial's help, you can generate images with AI on your own computer with Stable Diffusion.

If your PC has a GPU(Nvidia RTX 30series+ recommended) of VRAM more than 4GB then try training your own Stable Diffusion model.

Command: "git" clone "https://github.com/Stability-AI/stablediffusion.git" "C:\Users\Naveed\Documents\A1111 Web UI Autoinstaller\stable-diffusion-webui\repositories\stable-diffusion-stability-ai"

Automatic11112 and sygil-webui aren't "distributions" of Stable Diffusion. This is a repository with some distributions of Stable Diffusion.

New stable diffusion finetune (Stable unCLIP 2.1, Hugging Face) at 768x768 resolution, based on SD2.1-768. This model allows for image variations and mixing operations as described in Hierarchical Text-Conditional Image Generation with CLIP Latents, and, thanks to its modularity, can be combined with other models such as KARLO. Comes in two variants: Stable unCLIP-L and Stable unCLIP-H, which are conditioned on CLIP ViT-L and ViT-H image embeddings, respectively. Instructions are available here.

This model will soon be open-sourced in StabilityAI’s GitHub.

Another question, if that's ok? Stable Diffusion 2.0 - https://github.com/Stability-AI/stablediffusion - if I wanted to use that, do I follow along their instructions and it will work on the M1 still, or you advise against it?

Stable Diffusion (2D Image Generation and Animation) https://github.com/CompVis/stable-diffusion (Stable Diffusion V1) https://huggingface.co/CompVis/stable-diffusion (Stable Diffusion Checkpoints 1.1-1.4) https://huggingface.co/runwayml/stable-diffusion-v1-5 (Stable Diffusion Checkpoint 1.5) https://github.com/Stability-AI/stablediffusion (Stable Difusion V2) https://huggingface.co/stabilityai/stable-diffusion-2-1/tree/main (Stable Diffusion Checkpoint 2.1) Stable Diffusion Automatic 1111 Webui and Extensions https://github.com/AUTOMATIC1111/stable-diffusion-webui (WebUI - Easier to use) PLEASE NOTE, MANY EXTENSIONS CAN BE INSTALLED FROM THE WEBUI BY CLICK "AVAILABLE" OR "INSTALL FROM URL" BUT YOU MAY STILL NEED TO DOWNLOAD THE MODEL CHECKPOINTS! https://github.com/Mikubill/sd-webui-controlnet (Control Net Extension - Use various models to control your image generation, useful for animation and temporal consistency) https://huggingface.co/lllyasviel/ControlNet/tree/main/models (Control Net Checkpoints -Canny, Normal, OpenPose, Depth, ect.) https://github.com/thygate/stable-diffusion-webui-depthmap-script (Depth Map Extension - Generate high-resolution depthmaps and animated videos or export to 3d modeling programs) https://github.com/graemeniedermayer/stable-diffusion-webui-normalmap-script (Normal Map Extension - Generate high-resolution normal maps for use in 3d programs) https://github.com/d8ahazard/sd_dreambooth_extension (Dream Booth Extension - Train your own objects, people, or styles into Stable Diffusion) https://github.com/deforum-art/sd-webui-deforum (Deforum - Generate Weird 2D animations) https://github.com/deforum-art/sd-webui-text2video (Deforum Text2Video - Generate videos from texts prompts using ModelScope or VideoCrafter)

Stable Diffusion's code : https://github.com/Stability-AI/stablediffusion

But if you want to run a 2.x-based model, you'll need to download the corresponding YAML file (either the standard one – v2-inference-v.yaml – from Github or the one that is distributed with the model, if it requires a special one), rename it to have the same name as the model, and place it in the models folder alongside the model.

🔗 GitHub: https://github.com/civitai/civitai

The open availability of these models has fostered a dynamic and contributing ecosystem. A community has emerged around fine-tuned versions and additional models like Refiners, Upscalers, ControlNets, and Low-Rank Adapters (which will be introduced in this series). This vibrant community also offers tools like user-friendly interfaces to interact with the models (such as Automatic1111 Web UI or ComfyUI) and tools to aid the fine-tuning process, like Dreambooth or Kohya SS. Platforms like Hugging Face and civitai.com allow the community to share models, prompts, images, and tutorials.

You can check out civitai's repo if you want smth for NextJS: https://github.com/civitai/civitai

Found it pretty useful for my usecase at least since most of my tech stack aligns with them, along with the component framework they use(Mantine)

I find it quite funny, especially if you realize that something like 90% of the Stable Diffusion model fine-tunes out there are actually made for generating porn or images of females. Go to the website that has the most image generation models to verify this for yourself: https://civitai.com

WARNING don't visit this site on your work computer.

Remember The Website Obesity Crisis [1] article from 2015, since then [2] things only got worse, and it is been almost 10 years already (at the end of 2024).

Is it foolish to say that in 10 more years you wont be able to navigate the web on a circa 2015 PC ? If nothing changes seems like it.

My old macbook from 2013 with latest Firefox is already can not handle loading https://civitai.com web page with 23.98 MB of JavaScript, it is just hangs for half a minute while trying to render this disaster of web frontend.

[1] https://idlewords.com/talks/website_obesity.htm

[2] https://hn.algolia.com/?dateRange=all&page=0&prefix=true&que...

One of the most popular free AI image generators right now is Civitai. Civitai uses a cutting-edge AI model to turn text prompts into photorealistic images in seconds.

Soz, I don't like to cross link my accounts, especially with all this TSWift shenanigans going around. But, if you look at https://civitai.com/ plenty of people have links to their ko-fi accounts where you can commission them (heck you may even find me somewhere on there).

civitai.com ?

all the samples images on models at https://civitai.com/ have prompts included. I used to have a bunch of sites that list prompts bookmarked, but I lost all my bookmarks recently :(