Discover AI models & 3D assets

AI models, language-model files and 3D assets in one catalog

Renderoverse is a catalog for sharing AI models, LLM files, datasets and 3D assets. Publish image-generation checkpoints, LoRAs, embeddings, ControlNets, VAEs and workflows, or language-model weights, adapters and tokenizers. Share 3D files from any 3D software, including models, characters, clothing, scenes and materials; DAZ Studio and Blender are just two examples. Each release can include previews, documentation, versions, file details and license information.

How do I choose a compatible model?

For LLMs, check the architecture, base-model revision, quantization, tokenizer and inference runtime. Image-generation adapters must match their base model. DAZ assets may require a particular Genesis figure and installed products; Blender assets may require a specific Blender version, render engine or add-ons. Read the release instructions and dependency list.

What is the difference between a checkpoint and a LoRA?

A checkpoint contains model weights loaded by compatible software. A LoRA is a smaller adaptation applied to a supported base model, often to introduce a particular style, subject or capability.

Which LLM and dataset files can I share?

Share Safetensors, GGUF and PyTorch weights, adapter files, tokenizer JSON or SentencePiece files, configurations, model cards, and datasets such as JSONL, Parquet, CSV and Arrow. A version accepts one file or bundle; use an archive or an existing multi-file torrent for sharded weights and companion files. Executable scripts are restricted for community torrent submissions.

How do I package a DAZ Studio or Blender asset?

A .duf, .dsf or .blend file may reference external textures or other assets. Include files you have permission to redistribute, preserve the required folder structure, and document installation steps, compatible software versions and any products users must obtain separately.

Can I use a downloaded model commercially?

Usage rights depend on the license attached to that release and any applicable base-model terms. Read the license and creator notes before using a model or its outputs in a commercial project.