Categories: AI/ML Research

Further Stable Diffusion Pipeline with Diffusers

There are many ways you can access Stable Diffusion models and generate high-quality images. One popular method is using the Diffusers Python library. It provides a simple interface to Stable Diffusion, making it easy to leverage these powerful AI image generation models. The diffusers lowers the barrier to using cutting-edge generative AI, enabling rapid experimentation […]

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Inpainting and Outpainting with Diffusers

Inpainting and outpainting are popular image editing techniques. You have seen how to perform inpainting and outpainting using the WebUI. You can do the same using code as well. In this post, you will see how you can use the diffusers library from Hugging Face to run Stable Diffusion pipeline…

June 12, 2024

In "AI/ML Research"

Stable Diffusion with Core ML on Apple Silicon

Today, we are excited to release optimizations to Core ML for Stable Diffusion in macOS 13.1 and iOS 16.2, along with code to get started with deploying to Apple Silicon devices. Figure 1: Images generated with the prompts, "a high quality photo of an astronaut riding a (horse/dragon) in space"…

December 7, 2022

In "FAANG"

Stable Diffusion v2-1-unCLIP model released

Information taken from the GitHub page: https://github.com/Stability-AI/stablediffusion/blob/main/doc/UNCLIP.MD HuggingFace checkpoints and diffusers integration: https://huggingface.co/stabilityai/stable-diffusion-2-1-unclip Public web-demo: https://clipdrop.co/stable-diffusion-reimagine unCLIP is the approach behind OpenAI's DALL·E 2, trained to invert CLIP image embeddings. We finetuned SD 2.1 to accept a CLIP ViT-L/14 image embedding in addition to the text encodings. This means that…

March 27, 2023

In "Image"

AI Generated Robotic Content