Reverse Dependencies of compel

The following projects have a declared dependency on compel:

• aihandler — AI Handler: An engine which wraps certain huggingface models
• datadreamer — A library for dataset generation and knowledge extraction from foundation computer vision models.
• diffusers — State-of-the-art diffusion in PyTorch and JAX.
• diffusers-unchained — Diffusers
• diffusersv — State-of-the-art diffusion in PyTorch and JAX.
• giger — CLI for Stable Diffusion tasks.
• invokeai — An implementation of Stable Diffusion which provides various new features and options to aid the image generation process
• optimum-neuron — Optimum Neuron is the interface between the Hugging Face Transformers and Diffusers libraries and AWS Tranium and Inferentia accelerators. It provides a set of tools enabling easy model loading, training and inference on single and multiple neuron core settings for different downstream tasks.
• osmosis — An experimental Stable Diffusion frontend
• sdgrate — A grid image generator for Stable Diffusion models based on 🧨diffusers.
• sdkit — sdkit (stable diffusion kit) is an easy-to-use library for using Stable Diffusion in your AI Art projects. It is fast, feature-packed, and memory-efficient. It bundles Stable Diffusion along with commonly-used features (like SDXL, ControlNet, LoRA, Embeddings, GFPGAN, RealESRGAN, k-samplers, custom VAE etc). It also includes a model-downloader with a database of commonly used models, and advanced features like running in parallel on multiple GPUs, auto-scanning for malicious models etc.
• souJpg-diffusers — State-of-the-art diffusion in PyTorch and JAX.
• spice-agent — spice agent
• stablepy — A tool for easy use of stable diffusion