Generative AI Solutions
Deploy customized generative language models, fine-tuned text synthesis architectures, and media generation pipelines inside protected enterprise network perimeters to safely accelerate corporate content production and documentation workflows.
What we focus on
From strategy to launch, we help you build AI & Agents solutions that are reliable, scalable, and ready for the future.
- Content creation
- Product photography
- Marketing videos
Stable Diffusion XL
Midjourney v6
Runway Gen-3
DALL·E 3Sora
ElevenLabs
Replicate
ComfyUI
Google Cloud Vertex AIWe build systems that scale.
Generative AI Solutions is the design and deployment of production pipelines that produce on-brand text, images, audio, and video using diffusion and large language models. A custom LoRA adapter trained on 20 to 100 of your own reference images per concept is what locks in your specific look instead of a generic model default. XOVO builds these pipelines so marketing, creative, and product teams can generate high volumes of usable assets without each one starting from a blank page. Locked prompt templates, negative prompts, and fixed seeds keep results repeatable across campaigns, and ControlNet conditioning holds composition or product geometry steady across variants. Pipelines run through ComfyUI and route to hosted APIs or self-hosted GPUs, picking the right model for the job: Stable Diffusion XL for controllable image work, Runway Gen-3 or Sora for video, ElevenLabs for voiceover. Because diffusion output is probabilistic, human review and licensing checks are built into the workflow, not promised away as one-click automation.
Everything in one place
- Custom LoRA adapters trained on your products, brand palette, and photographic style for repeatable on-brand generation in Stable Diffusion XL
- Reusable ComfyUI workflow graphs (text-to-image, inpainting, ControlNet pose/depth conditioning, upscaling) packaged so your team can run them without rebuilding node trees
- A versioned prompt and negative-prompt library with locked seeds and parameter presets for consistent product photography and campaign variants
- Video generation pipelines using Runway Gen-3 and Sora for short marketing clips, plus ElevenLabs voiceover and lip-sync integration
- An asset review and approval layer with provenance metadata, plus model and licensing documentation so you know which generations are commercially clear
- Deployment into your environment, whether managed via Replicate API or self-hosted ComfyUI on your own GPU infrastructure, with usage and cost monitoring
Ready to get started?
Book a free scoping call and we'll map Generative AI Solutions to your workflow.
- A 30-minute call with a senior engineer, not a salesperson
- A tailored rollout plan scoped to your existing stack
- A straight answer on timeline and cost, no pressure to commit
A clear process. Predictable results.
Creative audit and brand asset capture
We catalog your existing brand guidelines, product photography, tone-of-voice samples, and the formats you actually ship, then identify which workflows (e.g. SKU photography, social variants, video teasers) generative pipelines can realistically accelerate.
Model selection and adapter training
We benchmark candidate models against your reference set and train LoRA adapters on your products and style, choosing Stable Diffusion XL, Midjourney v6, or DALL-E 3 for stills and Runway Gen-3 or Sora for motion based on controllability and output quality.
Pipeline assembly in ComfyUI
We build the production graphs, wiring text-to-image, inpainting, ControlNet conditioning, upscaling, and ElevenLabs audio into reusable workflows with fixed presets and negative prompts so non-technical staff can run them reliably.
Review, licensing, and guardrails
We add a human approval stage, provenance metadata, and checks for likeness, trademark, and model-license terms, because diffusion output is probabilistic and needs sign-off before it reaches a customer-facing channel.
Deployment, handoff, and cost tuning
We deploy via Replicate API or self-hosted GPUs, document every workflow, train your team to operate and extend it, and tune batching and resolution settings to keep per-asset generation cost predictable.
Creative audit and brand asset capture
We catalog your existing brand guidelines, product photography, tone-of-voice samples, and the formats you actually ship, then identify which workflows (e.g. SKU photography, social variants, video teasers) generative pipelines can realistically accelerate.
Model selection and adapter training
We benchmark candidate models against your reference set and train LoRA adapters on your products and style, choosing Stable Diffusion XL, Midjourney v6, or DALL-E 3 for stills and Runway Gen-3 or Sora for motion based on controllability and output quality.
Pipeline assembly in ComfyUI
We build the production graphs, wiring text-to-image, inpainting, ControlNet conditioning, upscaling, and ElevenLabs audio into reusable workflows with fixed presets and negative prompts so non-technical staff can run them reliably.
Review, licensing, and guardrails
We add a human approval stage, provenance metadata, and checks for likeness, trademark, and model-license terms, because diffusion output is probabilistic and needs sign-off before it reaches a customer-facing channel.
Deployment, handoff, and cost tuning
We deploy via Replicate API or self-hosted GPUs, document every workflow, train your team to operate and extend it, and tune batching and resolution settings to keep per-asset generation cost predictable.
Outcomes you can count on.
Concrete gains Generative AI Solutions delivers for your operations, measured in hours saved, errors removed, and cost avoided, not vague promises. Each outcome below maps to a specific capability you can trace end-to-end, so the impact is visible from day one.
On-brand output at volume
LoRA fine-tuning plus locked prompt templates and seeds mean generated images and copy match your established look instead of drifting into generic stock-AI aesthetics across hundreds of variants.
Faster creative iteration
Producing product photography variants, background swaps, and campaign concepts becomes a same-day task using inpainting and ControlNet rather than booking studio shoots or full design cycles for every SKU.
Full control over models and hosting
We can run pipelines through hosted APIs for speed or self-host ComfyUI and open-weight models like Stable Diffusion XL on your GPUs so sensitive product data and prompts never leave your perimeter.
Defensible, documented assets
Each pipeline ships with provenance tracking and model-license documentation, so you can tell which outputs are commercially clear and reproduce any approved asset from its recorded seed and parameters.
