Levity AI
Build custom AI agents to automate your most repetitive operational workflows without writing a line of code.
Leap (TryLeap.ai) has evolved from a niche Image Generation API into a sophisticated, multi-modal AI workflow engine designed for high-scale enterprise automation in 2026. Architecturally, it serves as an orchestration layer that abstracts the complexity of multiple AI models (SDXL, GPT-4, Llama 3, and specialized audio models) into a unified REST API and a low-code workflow builder. In the current market, Leap positions itself as the 'OS for AI Workflows,' enabling businesses to build complex autonomous agents for lead generation, personalized marketing, and asset creation without managing infrastructure. Its core strength lies in its ability to combine fine-tuned model training (DreamBooth) with complex conditional logic, allowing for highly specific outputs tailored to a brand's unique identity. By bridging the gap between raw model endpoints and end-user applications, Leap enables technical teams to deploy production-ready AI features in days rather than months, focusing on business logic rather than GPU cluster management or prompt engineering complexities.
A node-based orchestration engine that allows users to sequence LLM calls, image generation, and code execution in a single execution graph.
Build custom AI agents to automate your most repetitive operational workflows without writing a line of code.
The Agentic Backbone for Unified Multi-SaaS Workflow Orchestration.
The fair-code workflow automation platform with a native AI orchestration layer.
The ultimate AI orchestration engine for complex narrative logic and automated scripting workflows.
Verified feedback from the global deployment network.
Post queries, share implementation strategies, and help other users.
Automated pipeline for fine-tuning Stable Diffusion models on specific subjects, faces, or art styles with optimized hyperparameter selection.
API endpoints that allow for surgical modification of generated or uploaded images using mask-based prompts.
Integration of MusicGen and similar architectures to generate high-fidelity background tracks from text prompts.
Internal caching mechanism that reduces latency and credit costs for repetitive workflow calls with identical parameters.
Programmatic 'If/Then' nodes within the workflow that can branch based on the output of an LLM analysis.
LLM nodes that can perform real-time web searches to ground their responses in current 2026 data.
Low conversion rates in cold outreach due to generic product images.
Registry Updated:2/7/2026
Send the personalized image via Lemlist automatically.
Indie devs needing consistent character art across different poses and environments.
Repurposing long-form audio into short-form visual content is time-consuming.