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MEGATHREAD (lemmy.dbzer0.com)

This is a copy of /r/stablediffusion wiki to help people who need access to that information


Howdy and welcome to r/stablediffusion! I'm u/Sandcheeze and I have collected these resources and links to help enjoy Stable Diffusion whether you are here for the first time or looking to add more customization to your image generations.

If you'd like to show support, feel free to send us kind words or check out our Discord. Donations are appreciated, but not necessary as you being a great part of the community is all we ask for.

Note: The community resources provided here are not endorsed, vetted, nor provided by Stability AI.

#Stable Diffusion

Local Installation

Active Community Repos/Forks to install on your PC and keep it local.

Online Websites

Websites with usable Stable Diffusion right in your browser. No need to install anything.

Mobile Apps

Stable Diffusion on your mobile device.

Tutorials

Learn how to improve your skills in using Stable Diffusion even if a beginner or expert.

Dream Booth

How-to train a custom model and resources on doing so.

Models

Specially trained towards certain subjects and/or styles.

Embeddings

Tokens trained on specific subjects and/or styles.

Bots

Either bots you can self-host, or bots you can use directly on various websites and services such as Discord, Reddit etc

3rd Party Plugins

SD plugins for programs such as Discord, Photoshop, Krita, Blender, Gimp, etc.

Other useful tools

#Community

Games

  • PictionAIry : (Video|2-6 Players) - The image guessing game where AI does the drawing!

Podcasts

Databases or Lists

Still updating this with more links as I collect them all here.

FAQ

How do I use Stable Diffusion?

  • Check out our guides section above!

Will it run on my machine?

  • Stable Diffusion requires a 4GB+ VRAM GPU to run locally. However, much beefier graphics cards (10, 20, 30 Series Nvidia Cards) will be necessary to generate high resolution or high step images. However, anyone can run it online through DreamStudio or hosting it on their own GPU compute cloud server.
  • Only Nvidia cards are officially supported.
  • AMD support is available here unofficially.
  • Apple M1 Chip support is available here unofficially.
  • Intel based Macs currently do not work with Stable Diffusion.

How do I get a website or resource added here?

*If you have a suggestion for a website or a project to add to our list, or if you would like to contribute to the wiki, please don't hesitate to reach out to us via modmail or message me.

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submitted 6 days ago* (last edited 6 days ago) by MysticMushroom1776@lemmy.dbzer0.com to c/stable_diffusion@lemmy.dbzer0.com

Before we get into the article I want to say that I do not mean to imply that anyone's personal opinions are not valid. People are entitled to their own opinions. It only becomes problematic when they attempt to frame their opinion as objective fact. As opposed to their own subjective beliefs. Also this article is written from an anarchist leftist perspective. For people who aren't leftists or anarchists this might seem jarring, however this is a leftist anarchist space. So be mindful of that before engaging. Anyway with that preamble out of the way let's get into the article


One thing that is very common among people who disdain AI is the emotional attachment to this point of view. An emotional attachment that is resistant to facts, logic, or explanation. In fact, when attempting to present evidence and reasoning to these them, they will usually attack you. They will dismiss anything you say, and if you get them very close to exhausting their arguments, they'll just accuse you of using AI yourself, a classic ad-hominem attack. This is not the rhetoric of somebody who is thinking logically or critically, it comes from emotional attachment. Such responses are indicative of an appeal to emotion, suggesting that their primary, and likely only, real issue with AI is inherently emotional and opinionated. In other words, they just don't like it.

Due to the fact that the internet is a place where emotions dominate discourse and where bad-faith tactics earn perceived credibility among people. These perspectives can gain popularity. At which point people will listen to them simply because the idea is popular and because challenging the popular rhetoric is risky. That combined with people being less willing to hear opinions considered unpopular creates an environment where opinionated but popular ideas flourish. This problem is not exclusive to AI discourse, it is a problem on the internet as a whole.

Of course, many people do recognize that opinions are not facts, they are subjective and able to be challenged. So naturally, they will gravitate towards whatever arguments they think they can use to support their arguments objectively, and make it seem like more than just their own opinion.

The first argument that people who are against AI use to support their opinionated position is to appeal to the capitalist artificial construct of copyright and intellectual property. As well as appealing to the capitalistic nature of society and the way that things are right now. There is specifically the claim that using images obtained without consent is stealing from artists and violating their intellectual property. This is a discussion that many people, choose to engage in and put effort into defending or into refuting. This effort will not be put forward in this article because copyright, intellectual property, and capitalism as a whole are not valid. It is a system of oppression put forth by the wealthy elites.

It does not deserve more attention than this paragraph. And the people who apologize for this while claiming to be anarchists are engaging in classic doublethink by supporting capitalist models that run counter to anarchist-leftist ideology.

The second argument that many people primarily use is to bring up real science around environmental harms related to AI industries. And the discussion about AI companies and the harm that they do to the world is one that we anarchists and leftists as a whole should definitely be having. However, when it's talked about in most online discourse and the hate around AI, it is not being given the attention and care that it needs. It's being used as a justification to back up these individuals' personal opinions without consideration for what it is actually about. This is made ever more clear by the fact that people who hate AI attempt to use this as an argument against all AI. Not simply corporate AI companies or capitalism as a whole, but AI as a concept, including FOSS AI running on your own machines. Since FOSS AI models are lower power, designed for consumer hardware they don't use anywhere near the amount of energy datacenter AI models use, and due to being open source they can be tuned to their best use-case by individual users. Such AI models do not have the environmental challenges associated with datacenters. However that often all gets ignored in these discussions, because it is not a subject of actual consideration, and instead is merely an attempt at using facts to bolster their own opinion without actually caring about the facts, then they would recognize that free and open source AI models that can be self-hosted are in fact the solution to this problem. These distinctions rarely get discussed though, because as stated. This was only about justifying personal dislike as AI.

The third argument, which is brought up to support their opinionated position, is to talk about AI psychosis. Which I should note for the purpose of this article, is not a medical term, is not a diagnosis, and is not officially recognized by the DSM or by mental clinicians in any way. In fact, the way that it is discussed and described online in these contexts is often as an insult or as an ad-hominem attack. This isn't to say that study in this area is not worth while. It is, actual scientific studies in the department of mental health are important and need to happen. However discussions about this subject are mainly used as a convenient way to insult or demean people for the use of AI. It is essentially a roundabout way of winning an argument by just yelling at the person that they are crazy. It's not something that's worth listening to without more evidence. And even with evidence, clinical and mental diagnoses are sensitive subjects. It needs to be approached in a sensitive way. It is not respectable to approach it by using mental conditions as ad-hominem attacks or methods to win an argument online. In fact, these sorts of things actually discredit scientific ideas. They turn them politically charged, and they make scientists take more indirect approaches or even not actually want to study them at all. In addition, most of it isn't even really psychosis. It's more like religion. Now, AI religion is its own topic, and I think it does need to be seriously discussed. It's not going to be discussed in these online arguments with any amount of respect, because, as I stated at the beginning, they don't actually care. They're just looking for stuff to bolster their own perceived credibility. If you are interested in a video covering the topic of AI religion check out Drew's video on the topic.

The final most common one that I have seen online is not one of politics. It's not one of the sciences. It is, in and of itself, ironically, an appeal to emotion. It is the appeal to nostalgia, the idea that the existence of generative AI is harming our world and poisoning my culture. Now this argument is ultimately just as opinionated as saying you don't like it, but because it gives details, it seems more credible. In some ways, it's right, and in some ways, I agree with it. But also, it hinges on the idea that the world could be put back exactly the way that you remember it in the past. What you considered the good old days. A world that actually has never existed. The world of your childhood was just as messy and chaotic as this one is. The fact that you remember it with fond reminiscence, as a simpler time when things were just better, is a testament to how much you were sheltered back then. Someone may consider the existence of AI-generated images to be a direct harm to our world, to be poisoning our culture. Although people may also consider television, radio, and those horseless carriages to be poisoning our world. These have varying degrees of truth. Identifying which of these aspects is actually bad and why is important. And talking about these aspects, like, for example, cars. Cars are really bad. Cars and combustion engines cause a lot of problems. They are a valid subject to discuss. But saying that they're bad because in the good old days, people didn't have cars as cars is not really a real argument. It's just an appeal to nostalgia. Ultimately appeal to nostalgia is not a real argument for why AI is bad. In fact, it's just another way of saying, "AI is bad because I don't like it."

In conclusion, the vast majority of anti-AI arguments you will hear on the internet, including on Lemmy, are a waste of time. They are either directly rehashing the person's own personal opinions or attempting to piggyback off of other, more important subjects to justify themselves as more than just a personal opinion. While they do bring up good points and arguments that are worth discussing in and of themselves, they are doing these subjects a disservice, because ultimately, their purpose is to justify the person's own personal opinion and preferences. It is not to actually have a real and serious discussion about the topics. If they were, they would not react as aggressively as they do when their positions are challenged. They would be open to hearing additional information, such as discussions about FOSS AI, instead of dishing out ad-hominem attacks and insults.

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Progress log: voidcat on YouTube

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Abstract

Recent advances in video generation enable a new paradigm for 3D scene creation: generating camera-controlled videos that simulate scene walkthroughs, then lifting them to 3D via feed-forward reconstruction techniques. This generative reconstruction approach combines the visual fidelity and creative capacity of video models with 3D outputs ready for real-time rendering and simulation. Scaling to large, complex environments requires 3D-consistent video generation over long camera trajectories with large viewpoint changes and location revisits, a setting where current video models degrade quickly. Existing methods for long-horizon generation are fundamentally limited by two forms of degradation: spatial forgetting and temporal drifting. As exploration proceeds, previously observed regions fall outside the model's temporal context, forcing the model to hallucinate structures when revisited. Meanwhile, autoregressive generation accumulates small synthesis errors over time, gradually distorting scene appearance and geometry. We present Lyra 2.0, a framework for generating persistent, explorable 3D worlds at scale. To address spatial forgetting, we maintain per-frame 3D geometry and use it solely for information routing -- retrieving relevant past frames and establishing dense correspondences with the target viewpoints -- while relying on the generative prior for appearance synthesis. To address temporal drifting, we train with self-augmented histories that expose the model to its own degraded outputs, teaching it to correct drift rather than propagate it. Together, these enable substantially longer and 3D-consistent video trajectories, which we leverage to fine-tune feed-forward reconstruction models that reliably recover high-quality 3D scenes.

Paper: https://arxiv.org/abs/2604.13036

Code: https://github.com/nv-tlabs/lyra

Weights: https://huggingface.co/nvidia/Lyra-2.0

Project Page: https://research.nvidia.com/labs/sil/projects/lyra2/

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