A work-in-progress inpainting branch of Stable Diffusion, published as a public Replicate model. The model runs on Nvidia A100 (80GB) GPU hardware and predictions typically complete within 11 seconds. It costs approximately $0.015 to run on Replicate, or 66 runs per $1. It is open source and can be run on a computer with Docker.
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tinybots.net
ArtBot is a tool for generating AI-created images and photos with Stable Diffusion, using a distributed computing cluster powered by the AI Horde. It is free to use and requires no login. The page lists creation tools such as ControlNet, drawing, image-to-image, inpainting and live paint, along with an image gallery and model details.
audioldm.github.io
AudioLDM is a text-to-audio system built on a latent space that learns continuous audio representations from CLAP latents. It generates text-conditional sound effects, human speech and music, and enables zero-shot text-guided audio style transfer, inpainting and super-resolution.
iopaint.com
IOPaint is a free, open-source and fully self-hostable image inpainting and outpainting tool powered by AI models. It can erase unwanted objects, add or replace elements in images, generate text, and generate new pixels around images to enlarge them, with various models available for different tasks.
github.com
Lora is a repository applying low-rank adaptation to fine-tune diffusion models. It offers fine-tuning that produces small end results of 1MB to 6MB, compatibility with diffusers, support for inpainting, merging checkpoints, and CLIP, Unet and token fine-tuning pipelines.
muse-model.github.io
Muse is a text-to-image Transformer model that generates images from text prompts and supports image editing, including inpainting, outpainting and mask-free editing, without fine-tuning or inverting the model. It is trained on a masked modeling task in discrete token space using text embeddings from a pre-trained language model.
github.com
Automatically create masks for Stable Diffusion inpainting using natural language.