The outcome

Share a resource that others can evaluate and use without hidden training claims, ambiguous rights, or missing technical requirements.

Civitai is a community platform for discovering, publishing, and discussing generative media models and resources. Discovering exact versions of community models and related resources, inspecting samples and metadata, and publishing documented generative media resources. This guide narrows that broad capability into one repeatable outcome, with checkpoints that keep the source material and your judgment in the loop.

Before you begin

Set the boundary before the tool starts.

Choose one real task, identify who will use the result, and decide what evidence or test will make the result acceptable. Gather only the source material needed for that task. If the work contains confidential, personal, regulated, or client-owned information, confirm that the platform and account are approved before sharing it.

Troiana principle

AI should make the work easier to inspect. If the workflow removes the source, the owner, or the review step, redesign the workflow.

Step by step

A workflow you can repeat.

  1. 01

    Document training-data rights and consent, model purpose, base model, method, known limitations, prohibited uses, and the license you can grant.

  2. 02

    Remove secrets and personal data, scan the artifact, calculate hashes, and test the release in a clean environment with exact dependencies.

  3. 03

    Create representative samples with reproducible prompts and settings, label material AI content, and avoid deceptive or unauthorized likeness examples.

  4. 04

    Publish the correct model type and version with files, trained words, compatibility, permissions, safety notes, and clear commercial conditions.

  5. 05

    Monitor reports and failures, keep immutable version notes and hashes, correct claims transparently, and remove or supersede unsafe releases promptly.

Working standard

What good use looks like.

  • Publish honest provenance and limitations.
  • Test from a clean environment.
  • Keep version notes and hashes immutable.

Civitai hosts user-supplied models and media whose quality, provenance, safety, licenses, dependencies, and permissions vary. Treat downloads as untrusted, avoid executables and opaque archives, verify exact hashes and base-model compatibility, review content and usage restrictions, protect API credentials, confirm training and likeness rights, label AI media honestly, test in isolation, and keep version-specific provenance rather than relying on a model name alone.

Official references

Check the current product documentation.

Features, plan limits, availability, and data controls change. These official pages are the starting points used for this collection.