Stable-diffusion Alternatives

stable-diffusion reviews and mentions

• The Path to StyleGan2 – Progressive Growing GAN
  3 projects | news.ycombinator.com | 5 Aug 2024

  Latent diffusion models operate in katent space. This space is generated by an encoder and decoded back into pixel space by a decoder. The encoder-decoder form a generator which is trained to have good visual quality through the use of an adversarial loss.

  So the encoder produces a latent space that is more efficient to train a diffusion model on, since diffusion models use Unet-like architecture that must be run many times for a single inference. The latent space is restricted by a KL penalty to a Gaussian shape such that any sample from that shape will map through the decoder to a high-quality image. This makes the generative job of the diffusion model much easier because it can focus on content and semantics rather than pixel-level details

  You can see the two optimisers at work in the AutoencoderKL class in the Stable Diffusion source code here: https://github.com/CompVis/stable-diffusion/blob/main/ldm/mo...

• Top 7 Text-to-Image Generative AI Models
  1 project | dev.to | 6 May 2024

  Stable Diffusion: It is based on a kind of diffusion model called a latent diffusion model, which is trained to remove noise from images in an iterative process. It is one of the first text-to-image models that can run on consumer hardware and has its code and model weights publicly available.

• Go is bigger than crab!
  3 projects | dev.to | 8 Oct 2023

  Which is a 1-click install of Stable Diffusion with an alternative web interface. You can choose a different approach but this one is pretty simple and I am new to this stuff.

• Why & How to check Invisible Watermark
  3 projects | /r/StableDiffusion | 10 Sep 2023

  an invisible watermarking of the outputs, to help viewers identify the images as machine-generated.

• How to create an Image generating AI?
  1 project | /r/ArtificialInteligence | 12 Jul 2023

  It sounds like you just want to set up Stable Diffusion to run locally. I don't think your computer's specs will be able to do it. You need a graphics card with a decent amount of VRAM. Stable diffusion is in Python as is almost every AI open source project I've seen. If you can get your hands on a system with an Nvidia RTX card with as much VRAM as possible, you're in business. I have an RTX 3060 with 12 gigs of VRAM and I can run stable diffusion and a whole variety of open source LLMs as well as other projects like face swap, Roop, tortoise TTS, sadtalker, etc...

• Two video cards...one dedicated to Stable Diffusion...the other for everything else on my PC?
  1 project | /r/StableDiffusion | 11 Jul 2023

  Use specific GPU on multi GPU systems · Issue #87 · CompVis/stable-diffusion · GitHub

• Automatic1111 - Multiple GPUs
  3 projects | /r/StableDiffusionInfo | 8 Jul 2023
• Ist Google inzwischen einfach unbrauchbar?
  1 project | /r/de_EDV | 5 Jul 2023
• Why are people so against compensation for artists?
  1 project | /r/aiwars | 1 Jul 2023

  I dealt with this in one of my posts. At least SD 1.1 till 1.5 are all trained on a batch size of 2048. The version pretty much everyone uses (1.5) is first pretrained at a resolution of 256x256 for 237K steps on laion2B-en, at the end of those training steps it will have seen roughly 500M images in laion2B-en. After that it is pre-trained for 194K steps on laion-high-resolution at a resolution of 512x512, which is a subset of 170M images from laion5B. Finally it is trained for 1.110K steps on LAION aesthetic v2 5+. This is easily verified by taking a glance at the model card of SD 1.5. Though that one doesn't specify for part of the training exactly which aesthetic set was used for part of the training, for that you have to look at the CompVis github repo. Thus at the end of it all both the most recent images and the majority of images will have come from LAION aesthetic v2 5+ (seeing every image approx 4 times). Realistically a lot of the weights obtained from pretraining on 2B will have been lost, and only provided a good starting point for the weights.

• Is SDXL really open-source?
  1 project | /r/StableDiffusion | 26 Jun 2023

  stable diffusion · CompVis/stable-diffusion@2ff270f · GitHub

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