Learn Civitai

The community hub for Stable Diffusion and Flux models, LoRAs and embeddings, with model cards, example settings and an on-site generator.

0 guides · Dreamdrive for Civitai

What Civitai is good at

  • Finding checkpoints and LoRAs with example images and settings
  • Trigger words and recommended weights on every model card
  • On-site generation without a GPU
  • Licences set per model

Quickstart

  1. Read the model cardBase model, trigger words, recommended sampler, steps and weights are all there.
  2. Open an example imageIts generation data shows the exact prompt and settings; start from those.
  3. Add a LoRA at low weight0.6 to 0.8 first; stack a second one only after the first behaves.
  4. Check the licencePermissions for commercial use and redistribution are shown per model; keep a note.

Settings cheat-sheet

SettingWhat it doesStart with
CheckpointBase modelThe one the LoRA was trained on
LoRA weightStrength of the add-on0.6 to 0.8
Trigger wordsFrom the model cardInclude them
Sampler / stepsFrom the example dataCopy, then adjust
CFGPrompt adherence5 to 7
LicencePer modelCheck before client work

Civitai guides

Guides for Civitai are on their way. The quickstart and cheat-sheet above are kept current in the meantime.

The five most-asked questions

What is Civitai?
A community site where people publish Stable Diffusion and Flux checkpoints, LoRAs, embeddings and workflows, with example images that carry their generation settings. It also has an on-site generator.
What is a LoRA and how do I use it?
A LoRA is a small add-on that teaches a model a style, character or object. Load it with the matching base model, use its trigger words and apply it with a weight, usually below 1.
Can I generate on Civitai without my own GPU?
Yes, the on-site generator runs supported models and LoRAs with the usual settings and is paid in Buzz, the site's credit.
Are Civitai models safe to use commercially?
It depends: every model shows permissions set by its uploader and the base model's licence applies too. Read both and record which models made each image.
How do I reproduce an example image?
Open the image, copy its generation data (prompt, negative, seed, sampler, steps, CFG, size, model hash) and run it with the same checkpoint and LoRAs.
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