Step 2:Visit theHugging Face websiteand search or browse for the download link for the “768-v-ema.ckpt” file. This file is quite large, so expect a lot of wait time during the download. After the download completes, navigate to this location: “C:\stable-diffusion-webui-master\models...
Stable Diffusion is a deep learning, text-to-image model released in 2022. It is primarily used to generate detailed images conditioned on text descriptions, though it can also be applied to other tasks such as inpainting, outpainting, and generating image-to-image translations guided by a text...
A checkpoint is a snapshot during the training that captures the state of a model at a specific stage in the training process. In other words, checkpoints are a type of AI models. There are other types of Stable Diffusion models like LoRAs, LoCONs, LoHAs, LECOs and so on, but we wi...
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Microsoft has added AI to Bing, Word, Excel, and its other Office apps. Even Apple is quietly adding AI-powered features to its latest iPhones. And that's even before we consider AI-specific apps, like OpenAI's ChatGPT and Stability AI's Stable Diffusion. Pairing AI with automation ...
The same architecture can also be trained on text and image data in parallel, resulting in models like Stable Diffusion and DALL-E, that produce high-definition images from a simple written description. Transformers also played a central role in Google Deepmind's AlphaFold 2 model, which can ...
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and VAEs. Diffusion models learn by compressing data, adding noise to it, denoising it, and attempting to regenerate the original. The popular Stable Diffusion tool uses a VAE encoder and decoder for the first and final steps, respectively, and two CNN variations in the noising/denoising steps...
The CFG Scale is one of the additional settings in Stable Diffusion. The CFG scale adjusts how much the image looks closer to the prompt and/or input image.
Stable Diffusion, however, has its own trick to deal with high-dimensionality. Instead of working with images, its autoencoder element turns them into low-dimension representations. There’s still noise, timesteps, and prompts, but all the U-Net’s processing is done in a compressed latent sp...