LTX-2.3-GGUF is an open-source AI foundation model by Unsloth for generating video, images, and audio from various input modalities. Below are 9 video generation apps with similar functionality to LTX, matched by what each product actually does — not ranked or scored. Explore each to find the closest fit for your use case.
LTX-2.3 is an open-source multimodal AI model that enables text-to-video, audio-to-video, and other video generation tasks. It supports local inference and is designed for researchers and developers working on generative AI.
LTX-2.3-Workflows is an open-source set of workflows for generating videos using LTX-2.3 models. It allows developers to run video generation pipelines locally, swap model loaders, and customize inference for research or creative projects.
LTX-2.3-Transition-LORA is an open-source LoRA adapter for image-to-video generation, compatible with the Diffusers library. It allows developers and researchers to generate videos from images using local inference and supports integration with popular AI pipelines. Ideal for creative and research applications.
Qwen3.5-27B-GGUF is an open-source large language model released in GGUF format for local inference and experimentation. It is suitable for AI researchers and developers who require access to model weights and the ability to run models on their own hardware.
Qwen3.5-35B-A3B-GGUF is an open-source large language model distributed by Unsloth on Hugging Face. It supports local inference, multiple quantizations, and is designed for AI researchers and developers seeking to run LLMs on their own hardware.
Qwen3.6-35B-A3B-GGUF is an open-source, quantized large language model distributed in GGUF format for local inference and research. It enables developers and researchers to run advanced language models on their own hardware, supporting experimentation and customization. The model is freely available for use and modification.
Qwen3.6-27B-GGUF is an open-source large language model distributed in GGUF format for local inference. It is designed for AI researchers and developers who require a powerful language model that can be run on local hardware for experimentation and development.
Qwen3.5-35B-A3B-GGUF is an open-source large language model designed for local inference and research. It enables developers and researchers to run text generation tasks efficiently on their own hardware with open weights.
Qwen3-Coder-30B-A3B-Instruct-GGUF is an open-source large language model for code generation, distributed in GGUF format for local inference. It is designed for developers and researchers who require local, private AI code generation capabilities.
