FAQ
Questions before you brief us
Straight answers about our AI image-generation studio, how we engage, what things cost in CAD, and what we deliberately do not offer.
Studio context
These answers reflect how Pixel Neural AI operates as a visual-AI consultancy from Leslieville, Toronto. For project-specific questions, contact us directly.
Is Pixel Neural AI a course, a deepfake tool, or a general chatbot company?
No. We are an AI image-generation studio that designs and delivers visual-AI pipelines and on-brand imagery for client organizations, always with a human in the loop. We do NOT sell courses, do NOT create deepfakes or deceptive impersonation, and are NOT a general LLM / automation consultancy.
"Pixel" means image output — the visual pixels your audience sees. "Neural" means neural-network image models such as diffusion architectures. We do not guarantee photorealism, brand accuracy or specific business outcomes. Our work is professional image production and creative consultancy, not education products or identity manipulation.
How do you engage — project or retainer?
Both. Project engagements suit defined deliverables: a product image batch, a campaign visual set, a brand visual system build or a diffusion pipeline design. Retainers suit teams needing ongoing image production with a standing review loop and predictable monthly output.
Most new clients start with a visual pilot — a scoped discovery and prototype run that lets both sides assess fit before committing to full production delivery. Pilots typically run one to two weeks.
What are typical budgets in CAD?
Visual pilots range from C$3,500 to C$8,500. Product image batch projects run C$6,500–C$22,000. Campaign imagery engagements run C$12,000–C$35,000. Brand visual system builds run C$12,000–C$35,000. Fine-tuning cycles run C$9,500–C$32,000. Monthly retainers start at C$4,200.
These are indicative ranges — final quotes depend on project scope, reference complexity, volume and timeline. We quote in CAD and do not require long-term contracts for project work.
What does discovery and timeline look like?
Discovery typically takes three to five business days: a brief intake call, style reference review, scope definition and a written roadmap with milestones. Production timelines vary — a focused product batch might ship in five business days; a full visual system build might take three to four weeks.
We are honest about constraints. Rush timelines are sometimes possible with reduced iteration rounds. We will tell you if your deadline is not achievable with proper image QA rather than overpromising and underdelivering.
Which models, tools and platforms do you use?
We work with leading open-weight and commercial diffusion models, selecting based on your brief requirements, licensing constraints and output style. Tools include control-net guidance systems, LoRA training pipelines, inpainting and outpainting workflows, and image upscaling stages.
We do not resell software licences as our primary offer. Platform choices are documented in your project handoff so your team understands the technical stack behind delivered assets.
How do you handle data, prompts and intellectual property?
Client briefs, style references, generated images and prompt documentation are handled under PIPEDA-aligned data governance practices. We process personal information only with consent and for defined purposes. Cross-border processing may occur when using cloud-based generation infrastructure — this is disclosed in our Privacy Policy.
Asset ownership and usage rights are defined in your project agreement. We retain the right to reference anonymised process learnings internally but do not use your brand assets for external marketing without written permission.
What human oversight and responsible-AI practices do you follow?
Every delivery includes human-in-the-loop review by senior creatives or art directors. Image QA covers visual consistency, brand-safe imagery checks, label accuracy where relevant and guardrails against inappropriate content. We do not offer automated generation without human sign-off.
We do not create deepfakes, celebrity likeness clones or deceptive synthetic media. We flag legal-sensitive elements — trademarks, identifiable individuals, regulated product claims — for client review before delivery.
What do you NOT do?
We do not guarantee photorealism, brand accuracy, virality, leads, sales or ROI. We do not sell courses, training bootcamps or "AI income" products. We do not promote crypto, NFT minting or MLM schemes. We do not create deepfakes or impersonation content. We do not operate as a general LLM chatbot or automation consultancy with no image focus. We do not claim to replace your entire design team.
Who owns the generated images?
Usage rights are specified in your project agreement. Typically, clients receive broad usage rights for delivered assets within agreed channels and territories. We provide prompt lineage and model version documentation. Third-party model licences may impose additional constraints — we disclose these during discovery.
Visual-AI disclaimer: AI image models can produce inaccurate, off-brand, distorted or inappropriate output. Results depend on brief quality, references, scope and use context. Case study metrics reflect past work and are not promises of future performance.
Still have questions?
Send us your brief — we will answer what we can before any commitment.
Start a visual pilot