language:
- en
base_model:
- Lightricks/LTX-2.3
- Tongyi-MAI/Z-Image-Turbo
- black-forest-labs/FLUX.2-klein-9B
- tencent/HunyuanVideo-Foley
- Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice
- Qwen/Qwen3-TTS-12Hz-1.7B-VoiceDesign
- Qwen/Qwen3-TTS-12Hz-1.7B-Base
pipeline_tag: text-to-image
Full creative production suite that runs entirely on your GPU.
No cloud. No API keys. No subscriptions. Every model runs on-device.
Why Visione
Most AI creative tools are fragmented: one app for image gen, another for video, another for audio, each with its own cloud dependency and pricing tier. Visione puts the entire pipeline — from concept to final export — inside a single desktop application that runs on a consumer NVIDIA GPU (16GB VRAM).
You own your hardware, your models, and your outputs. Nothing is transmitted externally. Ever.
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What You Can Do
| Component | Description |
|---|---|
| Imagine | Text-to-image generation with 90+ style LoRAs across 3 model tiers (Z-Image Turbo, Klein 9B). Character @mentions for consistent subjects. |
| Animate | Image-to-video and text-to-video via LTX 2.3. 5 workflow modes: standard I2V/T2V, Best 3-stage, first-last-frame, audio-conditioned. |
| Retouch | Full image editor — inpainting, upscaling, reframing, face swap (InsightFace + FaceFusion), background removal, LUT color grading, optical realism effects, multi-reference compositing, and smart selection (SAM). |
| Retexture | Apply any of 90+ preset styles to existing images via LoRA, or transfer the style of a reference image using depth-conditioned generation. |
| Enhance | SeedVR2 video enhancement (3B/7B models), Real-ESRGAN upscaling, and RIFE frame interpolation. |
| Storyboard | 12-stage AI filmmaking pipeline: concept development with multi-agent LLM collaboration, character library, shot-by-shot generation, and ZIP export. |
| Sound Studio | ACE-Step music generation, Qwen3-TTS voiceover (28 preset voices + clone + design), and HunyuanVideo-Foley for video-to-audio. |
| Characters | Persistent character library with full-body 5-shot reference generation for visual consistency across shots and components. |
| Styles | Browse and install LoRAs from CivitAI directly inside the app. Manage custom styles with per-preset strength tuning. |
| Gallery | Unified asset browser across all components with metadata, output modal, and send-to integration for cross-component workflows. |
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Key Features
- 90+ style presets — LoRA-based styles spanning cinematic, illustration, animation, photography, design, and artist-specific looks. Browse and install more from CivitAI directly inside the app.
- Character consistency — Generate a persistent character once, then reference them by name across Imagine,
Retouch, and Storyboard with
@mentions. - Smart VRAM management — Models load and unload sequentially to fit within 16GB. One active model at a time, no manual memory management needed.
- Multilingual UI — English, Italian, Spanish, French, German. (COMING SOON)
- Local LLM + VLM — Qwen3.5-4B handles prompt enhancement, image captioning, and storyboard agents. Falls back to Llama 3.2 3B on CPU if needed. No external API calls.
- Optical realism — Client-side film emulation: grain, halation, vignette, pro-mist, chromatic aberration, highlight roll-off, color temperature and tint.
Architecture
Visione is a local client-server desktop app. The React frontend talks to a FastAPI backend over localhost; real-time progress streams via SSE. Heavy inference runs in-process (diffusers/PyTorch) or through a headless ComfyUI subprocess for video pipelines. The Tauri 2 shell wraps it as a native window and manages the backend lifecycle.
Models are shared across components wherever possible — the same image generation backbone serves Imagine, Retouch, Retexture, and Storyboard. All assets, models, and outputs stay on local storage.
Stack: Python 3.12 + FastAPI + SSE / React 18 + TypeScript + Zustand / Tauri 2 / ComfyUI headless / PyTorch 2.7 + CUDA
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Hardware Requirements
| Minimum | Recommended | |
|---|---|---|
| GPU | NVIDIA 12GB VRAM (RTX 3060) | NVIDIA 16GB VRAM (RTX 4080) |
| RAM | 16GB | 32GB |
| Storage | ~50GB (core models) | ~210GB (all models) |
| OS | Windows 10/11 | Windows 11 |
License
MIT