Stable Diffusion

The Man behind Stable Diffusion. The model uses a GPU with at least.

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Stable Diffusion runs on under 10 GB of VRAM on consumer GPUs generating images at 512512 pixels People will be able to run this at home.

. Stable Diffusion - News Art Updates. Stable Diffusion is a text-to-image model that will empower billions of people to create stunning art within seconds. DiscoArt has a modern professional API with a beautiful codebase ensuring high usability and maintainability.

520 Is this the CERN of AI. Create compelling Disco Diffusion artworks in one line. Stable Diffusion is an open-source diffusion model for generating images from textual descriptions.

It is a breakthrough in speed and quality meaning that it can run on consumer GPUs. Stable Diffusion is trained on Stability AIs 4000 A100 Ezra-1 AI ultracluster with more than 10000 beta testers generating 17 million images per day. The model was trained using the LAION Aesthetics dataset a subset of the LAION 5B dataset containing 120 million image-text pairs from the complete set which contains nearly 6 billion image.

Its commonly used for generating artistic images but can also generate images that look more like photos or sketches. Create Disco Diffusion artworks in one line. I really hope this comes to google colab and we can do video diffusion the head honcho said it probably will and itll probably happen within a month.

You can see some of the amazing output that has been created by this model without pre or post-processing on this page. Stable Diffusion v1 is a general text-to-image diffusion model and therefore mirrors biases and mis-conceptions that are present in its training data. As a rule of thumb higher values of scale produce better samples at the cost of a reduced output diversity.

To create a sample of size 384x1024. Note however that controllability is reduced compared to the 256x256 setting. Simulacrabot stablediffusion so awesome.

As of writing there is rapid development both on the software and user side. Welcome to the unofficial Stable Diffusion AI subreddit. Details on the training procedure and data as well as the intended use of the model can be.

Stable Diffusion launch announcement. DiscoArt is an elegant way of creating compelling Disco Diffusion artworks for generative artists AI enthusiasts and hard-core developers. The example below was generated using the above command.

Python scriptstxt2imgpy --prompt a sunset behind a mountain range vector image --ddim_eta 10 --n_samples 1 --n_iter 1 --H 384 --W 1024 --scale 50. Everything posted here must be related to AI. 1 day agoStable DiffusionのDiscordに入れたので過去に製作されていた創造物をざらっと眺めてみました dream-1 dream-50をかなり見たそこでこれは基礎表現としてみんな知っておいた方がいいなという基礎的なPromptのみまとめます.

先日 Midjourneyについて紹介しましたが今日紹介するサイトStable Diffusion Dream Studioは更にスゴいです. 345 Where does the money come from. Take everything you read here with a grain of salt.

StableDiffusion AI by the people for the people Community account. This model employs a frozen CLIP ViT-L14 text encoder to condition the model on text prompts much like Googles Imagen does. 130 What is Stability AI.

Stable Diffusion sample images. Here you can post art discuss about the software share something cool you found etc. We highly recommend that you share the prompt otherwise it.

Outputstxt2img-samplesQuality sampling speed and diversity are best controlled via the scale ddim_steps and ddim_eta arguments. An interview with Emad Mostaque founder of Stability AI. Stable Diffusion is an advanced AI text-to-image synthesis algorithm that can generate very coherent images based on a text prompt.

This will save each sample individually as well as a grid of size n_iter x n_samples at the specified output location default. The model itself builds upon the work of the team at CompVis and Runway in their widely used latent diffusion model combined with insights from the conditional diffusion models by our lead generative AI developer Katherine Crowson Dall-E 2 by Open AI Imagen by Google Brain and many others.

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