Computer Vision

GENAI: Brand Conditioned Images and Video Generation

Your brand has a visual identity. AI learns it. And scales it.

Producing visual content consistent with the brand is slow, costly and depends on scarce creative resources. Every campaign, every variant, every format requires time — from a designer, an art director, a revision cycle. And when volumes grow, the process gets stuck.

Generative models change the equation. We train them on your brand — palette, style, assets, visual guidelines — and build pipelines capable of generating consistent images and videos, at scale, on demand. Not generic content. Your content.

Problems we solve

Blocked knowledge, critical dependencies and inefficiencies holding back growth

Slow and costly visual production

Every asset requires creative time. When volumes grow the bottleneck becomes unsustainable.

Visual inconsistency at scale

Multiple suppliers, multiple teams, multiple markets: maintaining brand consistency across all touchpoints is a governance problem.

Personalization impossible at volume

Generating personalized variants for different segments, campaigns or contexts with manual workflows does not scale.

Time-to-market too long

From brief to final visual takes days or weeks. With a generative pipeline, it takes minutes.

Use Cases

Real projects, measurable results

Starting from existing brand visual assets we train generative models capable of producing new styl…

Brand conditioned image generation

Starting from existing brand visual assets we train generative models capable of producing new stylistically consistent images. Product variants, backgrounds, compositions, format and channel adaptations: generated automatically, respecting visual identity.

The model learns your style. The assets it generates look like yours — because they are.

Extension of the pipeline to video output: generation of clips, animations and moving content consi…

Brand-conditioned video generation

Extension of the pipeline to video output: generation of clips, animations and moving content consistent with the brand's visual style.

From text brief to final video, respecting visual identity.

Integration of AI generation into an end-to-end production workflow: from text brief to final asset…

Visual production pipeline at scale

Integration of AI generation into an end-to-end production workflow: from text brief to final asset, with stylistic consistency control and automatic selection of best variants.

Volume is no longer a limit. It is a variable the system manages.

Technology Corner

The architecture and technologies that make the difference

Our projects don't rely on off-the-shelf solutions. Every system is designed on the right architecture for the specific problem — and the technology choice makes the difference between a tool that works in demo and one that holds up in production.

Generative models and conditioning

✓ Diffusion models
Stable Diffusion, FLUX and equivalent architectures as generative base
✓ Fine-tuning and brand conditioning
DreamBooth, LoRA, textual inversion
✓ ControlNet
structural control of output: pose, composition, layout
✓ IP-Adapter and style transfer
stylistic consistency across different generations

Video generation and pipeline

✓ Generative video models
synthesis of clips consistent with visual style
✓ Temporal consistency
stylistic consistency between frames
✓ Batch generation and quality filtering
mass production with automatic selection of best variants

Interested in this service?

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