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Neo Studio V2 — Image Tab Basic Guide | Local AI Image Workflow

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Neo Studio V2 — Image Tab Basic Guide | Local AI Image Workflow

I’ve uploaded a new Neo Studio V2 basic guide, this time covering the Image workspace. 🎨

This video gives a practical walkthrough of the Image Tab and how the different parts of the workspace fit together when building and running local AI image workflows.

Covered in the guide

  • Image workspace navigation

  • Backend connection and status

  • Model family and workflow selection

  • Positive and negative prompting

  • Saved prompt pairs and Prompt Studio integration

  • Image generation parameters

  • Samplers and schedulers

  • Resolution and size presets

  • Seed and batch controls

  • LoRA and asset areas

  • Preview and generated results

  • Validation before generation

Neo Studio is being developed as a local-first, backend-neutral creative workspace, with the goal of giving different AI tools and model ecosystems a more unified interface instead of locking the application to one specific model or workflow.

The project is also being developed as a public repository, so the architecture is being designed around different hardware setups, models, workflows, and supported backends rather than only my own local configuration.

🎥 Watch the Image Tab Basic Guide:

💻 Neo Studio V2 GitHub:
[GITHUB]

This is only the basic Image Tab guide. More focused videos covering individual features, models, LoRAs, advanced workflows, and the other Neo Studio workspaces are planned as development continues.

Feedback, bug reports, workflow ideas, and feature suggestions are always welcome. 💜

Neo Studio V2 — Create. Control. More possibilities.

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