SuperAPI AI Directory

AI images

3,499 results · Page 56 of 98

AI Picture Combiner

AI images

AI Picture Combiner is an online AI image compositing tool. Users upload two reference images and enter a text description to merge the two photos into one naturally blended image. It can also be used as an AI photo merger, image blender, and picture compositor, and is suitable for creating portrait fusions, product scene images, before-and-after comparisons, and style-mixed works. The generation process is completed in the browser, with no design software installation required. It supports JPG, PNG, and WebP formats, uses two images per composite, and outputs 2K JPG images.

Read more

AI Picture Generator

AI images

AI Picture Generator is an online AI image generation tool that supports text-to-image and image-to-image, offers a variety of models, flexible aspect ratios, and styles, and can generate drafts or high-quality finished pieces in seconds. It also supports batch generation, image-to-video, background removal, and provides gallery examples with prompts for reference and reuse. It is suitable for scenarios such as e-commerce, advertising, social content, and personal creation.

Read more

ai-toolkit

AI images

AI Toolkit (Ostris AI Toolkit) is a free and open-source diffusion model training suite for fine-tuning image and video generation models. It offers both GUI and CLI usage, supports training the latest models on consumer-grade hardware, and is described by its author as an all-in-one training solution. The tool covers a large number of image, video, and editing models, including FLUX.1, FLUX.2, Stable Diffusion XL, SD 1.5, Qwen-Image, the Wan 2.1/2.2 series of video models, and LTX-2, while also supporting network types such as LoRA and LoKr as well as training specified layers. Installation can be done through the built-in experimental AI Toolkit Manager, which automatically detects hardware, configures the PyTorch environment, and obtains local Node.js and FFmpeg, or manually by following the manual. Training tasks can be defined through YAML configuration files, support resuming from checkpoints, and can be run on cloud platforms such as RunPod and Modal.

Read more