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AI tools generate images in seconds. But every asset comes with prompts, seeds, model versions, and workflow graphs that get lost across folders, Discord servers, and hard drives.
Numonic solves the "after creation" problem that traditional DAMs weren't built for.
Get organized in minutes. Upload your assets, and Numonic handles the rest.
Download your images and videos from ComfyUI or Midjourney. Our desktop sync can also watch your local output folders and upload new assets automatically.
Every asset uploads with complete metadata preserved: prompts, negative prompts, seeds, samplers, CFG scales, model hashes, and full workflow graphs.
Find assets using natural language. Search "foggy forest with purple lighting" and find matches even if your prompt said something different.
Export with privacy-aware metadata stripping. Share work with clients without revealing proprietary workflows or prompts. IPTC 2025.1 compliant.
Not retrofitted from traditional DAM—designed from day one for prompts, parameters, and provenance.
Every ComfyUI workflow, Midjourney prompt, and generation parameter is captured automatically. Find the settings behind any image and reproduce it exactly—same seed, same sampler, same result.
Visualize parent-to-child relationships across variations, upscales, and iterations. Understand the complete lineage from first prompt to final output.
Semantic search understands what you're looking for, not just exact keyword matches. Find assets by visual similarity, prompt concepts, or technical parameters—all from one search bar.
EU AI Act and C2PA content credentials built in. Maintain audit trails automatically. Prove provenance when clients, regulators, or legal teams ask.
Share collections with your team. Comment on assets. Manage permissions. Built for creative teams and client workflows, not just solo creators.
Traditional DAMs treat files as opaque blobs. Numonic treats every asset as the output of a reproducible process—with full visibility into how it was created.
{
"prompt": "ethereal forest, volumetric fog",
"negative_prompt": "blurry, low quality",
"seed": 42,
"sampler": "euler_ancestral",
"steps": 30,
"cfg_scale": 7.5,
"model": {
"name": "SDXL 1.0",
"hash": "31e35c80fc..."
},
"workflow": {
"nodes": 12,
"connections": 15,
"graph": "base64://..."
}
}Connect the AI generation platforms you already use