Stable Diffusion

Create Disco Diffusion artworks in one line. 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.

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Create compelling 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. Once trained the neural network can take an image made up of random pixels and turn it into an image that matches your text. 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.

Which is available on GitHub. StableDiffusion AI by the people for the people Community account. Diffusion works by training an artificial neural network to reverse a process of adding noise random pixels to an image.

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. 1 hour agoAs these models were trained on image-text pairs from a broad internet scrape the model may reproduce some societal biases and produce unsafe content so open mitigation strategies as well as an open discussion about those biases can bring everyone to. It is a breakthrough in speed and quality meaning that it can run on consumer GPUs.

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. The example below was generated using the above command. This will save each sample individually as well as a grid of size n_iter x n_samples at the specified output location default.

Stable Diffusion is a text-to-image model that will empower billions of people to create stunning art within seconds. Stable Diffusion is a state-of-the-art text-to-image art generation algorithm that uses a process called diffusion to generate images. Simulacrabot stablediffusion so awesome.

Anonymous 081522Mon060112 No. We highly recommend that you share the prompt otherwise it is not required. Stable Diffusion was made possible thanks to a collaboration with Stability AI and Runway and builds upon our previous work.

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. Stable Diffusion separates the image generating process into a diffusion process at runtime. Starting with only noise it gradually improves an.

As a rule of thumb higher values of scale produce better samples at the cost of a reduced output diversity. Welcome to the unofficial Stable Diffusion AI subreddit. Note however that controllability is reduced compared to the 256x256 setting.

To create a sample of size 384x1024. DiscoArt has a modern professional API with a beautiful codebase ensuring high usability and maintainability. Stable Diffusion runs on under 10 GB of VRAM on consumer GPUs generating images at 512x512 pixels in a few seconds is vram more important than the gpu itself.

Here you can post art discuss about the software share something cool you found etc. High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach Andreas Blattmann Dominik Lorenz Patrick Esser Björn Ommer. DiscoArt is an elegant way of creating compelling Disco Diffusion artworks for generative artists AI enthusiasts and hard-core developers.

Outputstxt2img-samplesQuality sampling speed and diversity are best controlled via the scale ddim_steps and ddim_eta arguments. Stable Diffusion - News Art Updates. Everything posted here must be related to AI.

Could something like a 16gb m1 macbook run this. You can see some of the amazing output that has been created by this model without pre or post-processing on this page. 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.

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