Open-source project that creates or edits images with generative AI and text-based controls.
Playground is an AI design tool for creating logos, stickers, merch, posters, social media graphics and other designs without experience. It provides templates across 24 categories and uses image models including GPT Image 2, Nano Banana Pro and Seedream. Paid plans add faster generation, credits, upscaling, background removal and commercial use licensing.
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.
DreamBooth is a method for personalizing text-to-image diffusion models. Given a few images of a subject and its class name, it fine-tunes a pretrained model so a unique identifier refers to that subject, allowing synthesis of the subject in new scenes, poses, views and lighting, with tasks including subject recontextualization and text-guided view synthesis.
DiffusionBee is a Stable Diffusion application for generating AI art locally on a computer. It is free of charge and runs offline, so prompts, models and generated images stay on the device. The package includes text to image, image to image, generative fill, an image upscaler, video tools, control images and local model training. A macOS download is provided.
BasedLabs is a web-based platform for generating AI images, videos, and face swaps with over 50 AI models. It also offers free online video editing tools, including a YouTube video editor and a TikTok video generator. The service is free to sign up for and requires no software installation.
TokenVerse is a method for multi-concept personalization that uses a pre-trained text-to-image diffusion model. It can disentangle complex visual elements and attributes from a single image and combine concepts extracted from multiple images, supporting objects, accessories, materials, pose and lighting. It uses a DiT-based text-to-image model and learns modulation-space directions for each word.
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Playground is an AI design tool for creating logos, stickers, merch, posters, social media graphics and other designs without experience. It provides templates across 24 categories and uses image models including GPT Image 2, Nano Banana Pro and Seedream. Paid plans add faster generation, credits, upscaling, background removal and commercial use licensing.
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.
DreamBooth is a method for personalizing text-to-image diffusion models. Given a few images of a subject and its class name, it fine-tunes a pretrained model so a unique identifier refers to that subject, allowing synthesis of the subject in new scenes, poses, views and lighting, with tasks including subject recontextualization and text-guided view synthesis.
DiffusionBee is a Stable Diffusion application for generating AI art locally on a computer. It is free of charge and runs offline, so prompts, models and generated images stay on the device. The package includes text to image, image to image, generative fill, an image upscaler, video tools, control images and local model training. A macOS download is provided.
BasedLabs is a web-based platform for generating AI images, videos, and face swaps with over 50 AI models. It also offers free online video editing tools, including a YouTube video editor and a TikTok video generator. The service is free to sign up for and requires no software installation.
TokenVerse is a method for multi-concept personalization that uses a pre-trained text-to-image diffusion model. It can disentangle complex visual elements and attributes from a single image and combine concepts extracted from multiple images, supporting objects, accessories, materials, pose and lighting. It uses a DiT-based text-to-image model and learns modulation-space directions for each word.
