Research Release

Aixio Image v1.0

We are releasing our first production-grade foundation model. Aixio Image v1.0 brings unprecedented control to generative media, bridging the gap between rough sketch and final render.

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Motivation

Semantic Ambiguity in Dense Scenes

Don't know where to start?

Our curated workflows are pre-tuned for specific tasks. Get professional consistency without mastering prompt engineering.

Challenge

Natural language lacks the spatial resolution required for complex scene manipulation. Ambiguity scales with object density; discriminating between identical semantic instances (e.g., "the third chair on the left") requires verbose, fragile prompting strategies.

Solution

Aixio introduces a sketch-based control layer. By projecting user doodles into the spatial attention map, the model resolves target ambiguity with zero-shot precision, bypassing the bottleneck of linguistic description. It is a direct injection of intent.

🎛️ Motivation

Semantic Ambiguity in Dense Scenes

Standard AI models treat editing as a guessing game. They mask out pixels and "hallucinate" new content based on probability. Aixio uses a fundamentally different approach:

🧶 Challenge: NLP Spatial BottleNeck

Guesswork, Not Design.

Models "fill in the blanks" based on surrounding pixels. They don't know what shape you actually want.

Binary Masking.

Aixio Engine

✍🏻 Solution: Spatial attention Injection

The Workflow

Your strokes act as hard constraints. The model forces the diffusion process to adhere to your lines.

Sparse-Input Understanding.

🧶 Traditional Inpainting

Guesswork, Not Design.

Models "fill in the blanks" based on surrounding pixels. They don't know what shape you actually want.

Binary Masking.

You can only tell the AI "where" to change, not "how" to change it.

Aixio Engine

✍🏻 Seamless Image Fusion

The Workflow

Your strokes act as hard constraints. The model forces the diffusion process to adhere to your lines.

Sparse-Input Understanding.

Our "Dual-Stream" architecture understands that a rough line represents a specific 3D edge.

Introducing Spatial Control

Because Words Aren’t Always Enough

Aixio bridges the gap between imagination and execution. By combining scribbles and doodles with AI generation, you guide structure directly —
no more prompt guessing.

Explore How It Works

Scribble-Based Precision

Scribble directly on images to guide the AI. Shape objects, change poses, or add details while preserving lighting and texture.

Doodle-Based Generation

Sketch the shape you mean. The AI turns rough forms into photorealistic results with precise silhouettes.

Instruction-Based Editing

Type the change. The AI understands context and edits the image without masking.

Seamless Image Fusion

Merge images realistically. Elements are re-lit and re-textured to exist in the same physical space.

Architecture

Unified Multimodal Instruction Tuning

Conventional models treat modalities separately. Aixio trains on a fused embedding space where Text, Image, and Sketch are treated as a singular instruction set.