AI Digital Designer Development

We design and deploy artificial intelligence systems: from prototype to production-ready solutions. Our team combines expertise in machine learning, data engineering and MLOps to make AI work not in the lab, but in real business.
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AI Digital Designer Development
Medium
from 1 week to 3 months
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Latest works
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    B2B ADVANCE company website development
    1212
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    Development of a web application for FEEDME
    1161
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    Website development for BELFINGROUP
    852
  • image_ecommerce_furnoro_435_0.webp
    Development of an online store for the company FURNORO
    1041
  • image_logo-advance_0.png
    B2B Advance company logo design
    561
  • image_crm_enviok_479_0.webp
    Development of a web application for Enviok
    822

AI Designer as Digital Worker

AI Designer automates visual content creation: banners, covers, article illustrations, social posts, ad layouts. Productivity: 50–500 images per day vs. 5–20 for humans.

Tools Stack

Task Tool API
Illustrations, concept art Stable Diffusion SDXL ComfyUI API
Photorealistic banners FLUX.1 Dev Replicate API
Branded images DALL-E 3 OpenAI API
Photo editing SD Inpainting ComfyUI API
Vector icons Midjourney + vectorization REST

ComfyUI API Automation

import httpx
import json
import uuid

class AIDesignerAgent:
    def __init__(self, comfyui_url: str = "http://localhost:8188"):
        self.base_url = comfyui_url

    async def generate_banner(
        self,
        prompt: str,
        brand_colors: list[str],
        width: int = 1200,
        height: int = 628,  # OG-image size
        style: str = "modern corporate"
    ) -> bytes:
        workflow = self.build_sdxl_workflow(
            prompt=f"{prompt}, {style}, brand colors {' '.join(brand_colors)}, professional design",
            negative_prompt="low quality, blurry, text errors, watermark",
            width=width,
            height=height
        )

        client_id = str(uuid.uuid4())
        async with httpx.AsyncClient() as client:
            response = await client.post(
                f"{self.base_url}/prompt",
                json={"prompt": workflow, "client_id": client_id}
            )
            prompt_id = response.json()["prompt_id"]
            return await self.wait_for_result(client_id, prompt_id)

Brand LoRA Generation

async def generate_with_brand_lora(
    prompt: str,
    lora_path: str,  # trained LoRA on brand images
    lora_strength: float = 0.8
) -> bytes:
    """Generation in brand style via LoRA"""
    workflow = self.build_lora_workflow(prompt, lora_path, lora_strength)
    return await self.run_workflow(workflow)

Brand LoRA training: 20–50 images in brand style, 500–2000 steps, 30–60 minutes on GPU.

Bulk E-commerce Generation

async def generate_product_images(
    products: list[dict],
    background_style: str = "white studio"
) -> list[dict]:
    """Generate images for product catalog"""
    results = []

    for product in products:
        prompt = f"{product['name']}, {product['category']}, {background_style}, commercial photography style"

        image = await self.generate_banner(
            prompt=prompt,
            brand_colors=[],
            width=800,
            height=800
        )

        results.append({
            "product_id": product["id"],
            "image": image,
            "prompt_used": prompt
        })

    return results

Timeline: basic AI Designer with standard formats (banners, posts) — 1–2 weeks. LoRA training for brand + CMS integration — additional 1–2 weeks.