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From dataset to trained LoRA to finished image or video. One browser workspace for your models, datasets, training, and generation. LoRA Pilot supports 50+ training model groups, with ComfyUI, Kohya, AI Toolkit, and Diffusion Pipe included. Run on your own GPU or RunPod, and connect AI agents through MCP.
Production-ready RunPod serverless endpoint and pod for Qwen-Image (20B) - Text-to-image generation with exceptional English and Chinese text rendering
Production-ready RunPod serverless endpoint for Kokoro TTS. Features high-quality text-to-speech, voice mixing, word-level timestamps, and phoneme generation. Optimized for fast cold starts and auto-scaling.
A RunPod serverless worker for Donut (Document Understanding Transformer), NAVER's OCR-free document AI model. Donut takes a document image plus a task prompt and produces structured JSON directly — no separate OCR step, no detector pipeline. The model is small (~200M params), fast on a single GPU, and remarkably accurate on layout-driven documents
RunPod serverless endpoint for Qwen3-TTS-12Hz-1.7B-Base voice cloning: register a voice once, generate long-form speech and sentence-level SRT by voice_id. Scale-to-zero.
A serverless OCR worker for RunPod powered by PaddleOCR and PP-Structure, providing high-accuracy multilingual text recognition and structured document understanding. It delivers stronger performance for Asian scripts (Chinese, Japanese, Korean), Arabic-script languages (Arabic, Persian/Farsi, Urdu), and complex document layouts including tables...
A RunPod serverless worker for Microsoft TrOCR, a HuggingFace transformer-based OCR model specialized for single-line text recognition — both printed and handwritten.
Serverless GPU Stable Diffusion XL worker for Runpod, powered by diffusers. Generate images from text, transform existing images, or inpaint masked regions — all from a single serverless endpoint. Supports SDXL Base 1.0, SDXL Turbo, SDXL Lightning, Juggernaut XL, Playground V2, plus the official SDXL refiner for a final detail pass.
A serverless multi-task NLP toolbox built for scalable deployment on RunPod. Expose a single API endpoint to handle multiple natural language processing tasks with low overhead and production-ready performance.
Serverless GPU/CPU zero-shot text classification on RunPod. Hand the worker any text and an arbitrary list of candidate labels, get back ranked probabilities in milliseconds — no fine-tuning, no training data, no label schema baked into the model. Powered by NLI-style encoders such as BART-MNLI, DeBERTa-v3-MNLI, and multilingual checkpoints...
Serverless GPU LLM inference worker built on vLLM with an OpenAI-compatible request shape. One worker, one loaded model — vLLM owns CUDA memory and refuses model swaps at runtime, so picking your backbone is an env-var concern, not a per-request one. Switch via LLM_MODEL and redeploy.
Serverless GPU worker that turns a text prompt into a short video clip using AnimateDiff — a research-grade motion module that bolts onto any Stable Diffusion 1.5 or SDXL checkpoint and gives it temporal awareness. Served via the diffusers library on Runpod serverless. Pick a base model, pick a motion adapter, optionally stack a camera-motion LoR
Serverless CPU-only MediaPipe Tasks worker covering the full vision catalog through a single endpoint: pose estimation, hand landmarks, face mesh, holistic (pose + hands + face), object detection, image segmentation, and gesture recognition — plus an annotation mode that overlays everything onto the input image.
Serverless background removal worker powered by rembg on Runpod. Accepts public image URLs or base64-encoded images and returns the cut-out RGBA PNG (or WebP/JPG), an optional alpha mask, an optional composited image on a custom background color, and the foreground bounding box. Supports the U2Net, IS-Net, SAM, and BiRefNet model families with GPU
Runpod Serverless GPU image super-resolution powered by Real-ESRGAN with optional GFPGAN face restoration. Accepts image URLs or base64 inputs, lazy-downloads model weights to disk on first use, supports tile mode for huge images, and returns base64-encoded PNG / JPG / WebP outputs.