Tento obsah vyžaduje ke spuštění vlastnictví základní aplikace Procedural Studio ve službě Steam.

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Stáhnutelný obsah

Tento obsah vyžaduje ke spuštění vlastnictví základní aplikace Procedural Studio ve službě Steam.

Stáhnout Procedural Studio - Gen AI Plugin

 

Informace o obsahu

Create high‑quality images from text prompts or reference images directly on your PC
This Generative AI plugin adds a powerful suite of new nodes to Procedural Studio, enabling local image generation using state‑of‑the‑art Stable Diffusion models.

Describe the image you want, choose a style, and Procedural Studio will generate impressive results entirely on your hardware. All outputs integrate seamlessly with the existing node editor, allowing you to combine AI‑generated content with classical image‑processing workflows.

Advanced AI Features

This plugin goes far beyond simple text‑to‑image generation:

  • LoRAs (Low‑Rank Adapters): Apply specialized styles or fine‑tuned behaviors to your models.

  • ControlNets: Guide composition and structure using sketches, depth maps, poses, or other reference images.

  • Inpainting & Outpainting: Fill masked regions with AI‑generated content or extend an image beyond its original borders.

Included AI Models

The plugin ships with several large, publicly available models, including:

  • Stable Diffusion XL Turbo

  • Stable Diffusion 3.5 Large

  • Stable Diffusion 3.5 Large Turbo

Choose the model that best fits your hardware and performance needs.

Important Notes

  • Local generative AI requires a high‑end PC, ideally with a modern NVIDIA GPU and substantial VRAM. Please review the hardware requirements before installing.

  • This plugin includes multiple trained AI models, resulting in a large download size and significant disk‑space requirements.

  • Procedural Studio implements safety systems aligned with Valve’s policies to prevent the generation of harmful or inappropriate content. Users are responsible for any content they create.

Informace o obsahu vytvářeném AI

Jak využití obsahu vytvářeného AI v tomto produktu popisují jeho vývojáři:

This plugin adds generative AI capabilities to Procedural Studio, allowing users to create images and textures directly inside the app using models such as SDXL Turbo and SD3.5 Large. These features are fully optional and run locally on the user’s hardware—no external servers are used. Players can generate new textures, variations, and visual assets through dedicated AI nodes as part of their creative workflow.
Some of the promotional images and logos for this plugin were created using these same AI features, demonstrating the kind of results users can produce. All AI generation is user‑initiated, and the plugin includes safety checks to prevent inappropriate content from being displayed.

Systémové požadavky

    Minimální:
    • Vyžaduje 64bitový procesor a operační systém
    • OS: Windows 10 (64‑bit)
    • Procesor: Quad‑core CPU (Intel i5 / AMD Ryzen 5 or equivalent)
    • Paměť: 16 GB RAM
    • Grafická karta: NVIDIA GPU with 8 GB VRAM (RTX 2070 or equivalent) or: CPU only inference- significantly slower
    • Pevný disk: 120 GB volného místa
    • Dodatečné poznámky: Basic usage (e.g., SDXL Turbo) can run on mid‑range GPUs with ~8–10 GB VRAM. CPU‑only inference is supported but requires a fast processor and significantly more system RAM, and performance will be much slower.
    Doporučené:
    • Vyžaduje 64bitový procesor a operační systém
    • OS: Windows 11 (64‑bit)
    • Procesor: High‑performance CPU (Intel i7/i9 or AMD Ryzen 7/9)
    • Paměť: 32 GB RAM
    • Grafická karta: NVIDIA RTX GPU with 16 GB VRAM or more (e.g., RTX 4080 / 4090) Required for heavier models such as SD3.5 Large and for workflows using multiple ControlNets or LoRAs.
    • Pevný disk: 250 GB volného místa
    • Dodatečné poznámky: For best performance with SD3.5 Large, SD3.5 Large Turbo, and multi‑model pipelines, a modern NVIDIA GPU with 16–24 GB VRAM is strongly recommended. VRAM usage increases when stacking ControlNets, LoRAs, or high‑resolution settings. CPU‑only inference is possible but not recommended.
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