Hugging Face Spaces & Civitai Models
Explore Hugging Face Spaces and Civitai models. Review supported inputs, versions, compatibility, access and cost before running.
From ready-made tools
to your own visual style.
Explore Hugging Face Spaces and Civitai in one place, from ready-made AI apps to image models and visual styles.
![Natural-light portrait — FLUX.1 [schnell]](/samples/hub-demos-v1/space-daylight.webp)
Natural-light portrait
FLUX.1 [schnell]
Interactive image Space
A Space is a ready-made app. This sample was generated with this Space; open its inputs and settings in the Hub.
Open this SpaceHow this sample was generated
Execution route: Hugging Face Space
A realistic candid portrait photo of a fictional 35 year old woman with shoulder-length dark hair wearing a plain light blue linen shirt, seated in a bright cafe, looking at the camera with a natural smile, visible realistic skin texture, soft window daylight, chest-up framing, shallow depth of field, 85mm lens, no glamour retouching, no text, no watermark
The people in these images are fictional adults generated with AI.
Generated: 2026-10-19
Sample settings and provenance ↗Review inputs, access and cost in the Hub before running. How it works
Start here
Hugging Face Spaces in Sataves
1. Choose a Space
Choose a Space from the catalogue or open its link in the Hub.
2. Inputs and settings
Review the supported Space form and provide the text, image or file it needs.
3. Submit with context
A request may wake a sleeping Space. Paused or broken resources need owner action. Public queues and quotas still apply; no GPU is rented automatically.
Civitai models and versions in Sataves
1. Choose a version
Open a Civitai model link and review its version and base model. Versions can have different settings.
2. Check compatibility
A downloadable file is not necessarily remotely executable. Engine, base-model and LoRA compatibility are checked before submission.
3. Settings and cost
Use settings allowed by the selected engine. Review the version, inputs and cost; creator recommendations differ from API limits.