Tools tagged with "LoRA"

SmolVLM is a compact vision language model for developers building applications that interpret images and answer questions about them. It can run on-device, including on laptops and smaller local setups.

MFLUX is a Python toolkit for creators and developers who want to generate and edit images on an Apple Silicon Mac. It provides a command-line interface for working with models locally.

SimpleTuner is a diffusion model training toolkit for creators and researchers adapting image, video or audio models to their own datasets. Its web dashboard also supports teams sharing GPU workers.

bitsandbytes is a Python library for developers who need to run or fine-tune large language models on their own hardware with less memory. It works within PyTorch workflows.

Kolors generates photorealistic images from text for creators and developers who want to run image generation on their own hardware. Developed by Kuaishou, it supports Chinese and English prompts, including descriptions of Chinese cultural content.

FLUX.1 is a family of image models for developers and creators who want to generate and edit images on their own hardware or servers.

Unsloth is a desktop app for people who want to chat with models, train them on their own data, and create media on their own hardware. Its no-code interface brings these tasks into one workspace.

AI Toolkit (ostris) is a training suite for people fine-tuning image and video generation models on their own hardware or rented servers. It provides a browser interface and command-line access to training jobs.

diffusion-pipe trains image and video diffusion models on your own GPU hardware. It's for people fine-tuning models that are too large to fit on a single GPU or who want to distribute training across several GPUs.

Vibe Workflow is a visual AI workflow builder for creators and developers who want repeatable image and video pipelines on their own server. Its editor is self-hostable, but the included generation features use MuAPI and require an account, API key, and internet access.

verl is a Python library for researchers and engineers training large language models on their own hardware. It implements HybridFlow for reinforcement learning after initial training, with support for supervised fine-tuning too.

ACE-Step is a local AI music model for musicians and producers who want to generate songs or revise existing audio. It accepts text descriptions and lyrics, with control over the length of the result.

ComfyUI is a visual AI workflow editor for creators who want control over generation and editing. Its node canvas lets you connect models and processing steps, inspect their settings and reuse the resulting workflows without writing code.

ChuanhuChatGPT is a self-hosted web interface for people who want to chat with local LLMs and cloud models in one application. It also supports document questions and automated agent tasks.

HunyuanDiT is a local text-to-image model for people generating images from Chinese or English prompts. It handles detailed descriptions and Chinese cultural references, including poetry, idioms, food and architecture.

mergekit combines pretrained language models into one model for developers and researchers who want to combine specialized skills or balance model behaviors. It works directly with model weights, without additional training or access to the original training data.

KubeAI is a Kubernetes operator for teams serving AI models on their own infrastructure or cloud clusters. It manages model servers and adjusts capacity to demand, including starting models from zero running replicas.

AnimateDiff generates animations with personalized Stable Diffusion models for artists and developers who want motion in their chosen visual style. Compatible image models don't need separate animation training.

H2O LLM Studio helps teams adapt language models to their own datasets through a browser interface, without writing training code. It's aimed at organizations building models for specific tasks.

Needle is an AI model for developers building device assistants that turn requests into actions. It prioritizes automation over general chat, with smaller model variants for devices that have limited resources.

Diffusers is a Python library for developers and researchers building image, video and audio generation into applications or running models on their own hardware. It supports pretrained generation pipelines as well as custom diffusion systems.

ms-swift is a Python framework for developers and researchers training and deploying language and multimodal models on their own hardware. It covers model adaptation through evaluation and serving, with support for Qwen3, DeepSeek-R1, Llama4, Mistral, Qwen3-VL and InternVL3.5.

DiffSynth-Studio is a diffusion model engine for developers and researchers generating media or training models on their own hardware. It combines inference and training, with memory-saving features for consumer GPUs.

mistral.rs is an inference engine for developers who want to run AI models on their own computer or server. It supports browser chat and inference embedded directly in Python or Rust applications.

Uni MoE is a family of multimodal AI models for researchers working with language, visual material and audio together. Its Omni model can reason across combined inputs and answer questions about their content.

Jamba is AI21's language model family for teams building document-based assistants and business applications on their own servers. The Large model targets lengthy context, but its hardware requirements put it in server territory: quantized deployment uses eight GPUs with 80GB of memory each.

Draw Things creates and edits images on iPhone, iPad and Mac. It's for artists and other creators who want to work offline and keep generation on their own hardware.

LitGPT is a Python toolkit for developers and researchers who want to train and deploy language models on their own hardware. Its directly editable model implementations suit custom applications and research experiments.

node-llama-cpp is a library for developers adding local AI to JavaScript and TypeScript applications. It uses llama.cpp to run GGUF models on your hardware and works in Node.js, Bun and Electron.

NeMo RL is NVIDIA's Python library for researchers and engineering teams adapting language and multimodal models on their own hardware. It supports experiments on a GPU workstation and distributed training across multiple nodes.

DiffusionBee is an AI image app for Mac users who want to create and edit artwork locally through a visual interface. Artists and designers can work with text prompts, existing images and drawings without writing code.

FlashInfer is a GPU kernel library for developers building LLM inference systems on their own hardware or servers. It supplies the attention, matrix multiplication and mixture-of-experts operations used by model serving software.

MLX Tune is a Python library for adapting AI models on an Apple Silicon Mac. Formerly unsloth-mlx, it is an independent project and is not affiliated with Unsloth. Its Unsloth-compatible API lets you prototype training locally with minimal changes to existing scripts, then move to NVIDIA hardware with Unsloth. Training runs through Apple's MLX framework and doesn't require a cloud GPU.

Jina Embeddings is a family of models for developers building semantic search, retrieval-augmented generation (RAG) and AI agent applications. The models convert content into vectors that a search system can compare for relevance.