Stable Diffusion

On Stability AIs website Stable Diffusion is described as a text-to-image model that will enable billions of people to produce beautiful art in a matter of seconds. This thing will inevitably affect alot of industries.

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Stable Diffusion - News Art Updates StableDiffusion StableDiffusion AI by the people for the people Community account.

. Everything posted here must be related to AI. Pandoras box was open wide AI keeps getting better everyday. Stable Diffusion - Open Source Agenda Stable Diffusion Overview Reviews Resources Project README Latent Diffusion Models arXiv BibTeX High-Resolution Image Synthesis with Latent Diffusion Models Robin Rombach Andreas Blattmann Dominik Lorenz Patrick Esser Björn Ommer equal contribution News April 2022.

8 hours agostable-diffusion-v1-4のリポジトリが既にあればその中で git switch fp16 でfloat16のモデルも取得するなどで半精度モデルを取得できないかなと考えています. Its commonly used for generating artistic images but can also generate images that look more like photos or sketches. Stable Diffusion v1 is a latent diffusion model which combines an autoencoder with a diffusion model that is trained in the latent space of the autoencoder.

Imagine how the world is going to change following the release of this model. What Is Stable Diffusion. Stable Diffusion is an open-source diffusion model for generating images from textual descriptions.

It can copy artistic styles very well. Stable Diffusion is an advanced AI text-to-image synthesis algorithm that can generate very coherent images based on a text prompt. As of writing there is rapid development both on the software and user side.

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. Training can be started by running CUDA_VISIBLE_DEVICES GPU_ID python mainpy --base configslatent-diffusion config_spec yaml -t --gpus 0. Here you can post art discuss about the software share something cool you found etc.

Welcome to the unofficial Stable Diffusion AI subreddit. Stable Diffusion is an algorithm developed by Compvis the Computer Vision research group at Ludwig Maximilian University of Munich and sponsored primarily by Stability AI a startup that aims to. 11 hours ago日本語でも英語でもOK 凄い勢いでStable Diffusionします凄い勢いなのですぐ流れて行ってしまう可能性大計算は自宅のコンピュータでしているのですがあまりにもアクセスが多くなってサーバー代が払えなくなったら公開停止するかペースダウンを検討します.

Stable Diffusion v1 refers to a specific configuration of the model architecture that uses a downsampling-factor 8 autoencoder with an 860M UNet and CLIP ViT-L14 text encoder for the diffusion model. We highly recommend that you share the prompt otherwise it is not required. During training Images are encoded through an encoder which turns images into latent representations.

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. 74k Generators 257 Currently Making Art Created Jul 23 2022 Filter by flair. As 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 this conversation.

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. The current model for stable is not the larger second one theyre training currently. In configslatent-diffusion we provide configs for training LDMs on the LSUN- CelebA-HQ FFHQ and ImageNet datasets.

The model was pretrained on 256x256 images and then finetuned on 512x512 images. Take everything you read here with a grain of salt.

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