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| title: Inline Studio |
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| # Inline Studio |
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| Free, open-source AI filmmaking on a node canvas. Build a whole visual pipeline, from moodboard to final cut, with local diffusion models and hosted models, and train your own LoRAs on the same canvas. Every render is kept as a versioned, non-destructive take. |
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| This Hugging Face org holds models and datasets trained with the app. |
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| - Website: https://inlinestudio.art |
| - App and source: https://github.com/inlineresearch/Inline-Studio |
| - Getting started: https://inlinestudio.art/getting-started |
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| ## What you will find here |
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| - **LoRAs** trained in the Inline Studio Trainer tab, ready to drop into the app (or any Krea 2 / Z-Image workflow). |
| - **Datasets** used to train them: image and caption pairs you can reuse or learn from. |
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| Current releases: |
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| - [skin-lora-krea-2-raw](https://huggingface.co/inlineresearch/skin-lora-krea-2-raw) - a photorealistic skin-texture LoRA for Krea 2. |
| - [krea2-skin-lora](https://huggingface.co/datasets/inlineresearch/krea2-skin-lora) - the dataset it trained on. |
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| ## About the app |
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| Inline Studio runs as one process on one port: the built-in Inline Core engine serves the web UI and does the generation. Krea 2 and Z-Image run locally on your own GPU from a single model file, LoRA training is a second canvas of nodes (dataset, captioning, training, loss curve), and the finished LoRA drops straight back into the app to generate with. |
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| GPL-3.0. Contributions welcome on [GitHub](https://github.com/inlineresearch/Inline-Studio). |
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