Frequently Asked Questions
Welcome to Talentless AI. This FAQ is a guide to the current landscape of creative artificial intelligence. It explains how generative models work, compares major tools, and covers important ethical and legal issues. For clarity, dates in questions and answers are stated explicitly, using the current date (November 16 2025) as a reference point.
Getting Started with Creative AI
What is generative AI?
Generative AI models learn from large datasets of human‑made material and then create new content in response to a prompt. For example, AI image generators are trained by scanning millions of labelled photos and text captions to learn how words correspond to visual patterns. Modern “diffusion” models start from random noise and progressively refine it back to an image, guided by the prompt. The same underlying approach extends to generating video, audio, text, code and more.
How are creative AI tools categorised?
Creative AI tools usually fall into a few broad categories:
Image generation tools – Midjourney (cinematic, photorealistic images; subscription based; struggles with text), DALL‑E 3 (integrated with ChatGPT; better at rendering text and coherent scenes), Stable Diffusion (open source; highly customisable but needs technical skill), Adobe Firefly (web‑based creative studio with image, video and audio models; includes licensed partner models and prompt‑based editing).
Video generation tools – Runway Gen‑4 (generates videos with consistent characters, objects and environments; maintains style across scenes), OpenAI Sora 2 (produces up to 60‑second videos with high quality; struggles with physics and causality), Pika Labs 2.5 (web platform producing 10‑second 1080p clips; affordable; includes 'Pikaffects' to add effects after generation).
Music and audio generation tools – Suno (text-to-music with vocals and lyrics; supports custom lyrics, remixes and stem extraction), Udio (hierarchical model focusing on instrument-aware arrangements; offers advanced parameters but has a steeper learning curve), Adobe Firefly Generate Soundtrack (creates fully licensed instrumental tracks in sync with video), ElevenLabs (realistic text-to-speech, voice cloning, dubbing and multi-voice audiobooks).
Design and prototyping tools – Figma AI (generates wireframes and layouts from prompts; suggests colour and typography; fills mock-ups with realistic content and can generate code snippets), Canva Magic Studio (suite including Magic Design for instant layouts, Magic Media for image and video generation, Magic Switch for format and language conversion, Magic Write for short-form copy, plus editing tools like background remover, Magic Grab and Magic Animate).
Language and coding models – GPT‑5 (multimodal model with state-of-the-art performance; features safe completions, improved reasoning and a router that chooses between fast or deep models), Gemini 2.5 Pro (Google’s reasoning model with a million-token context window and strong math and coding skills), Claude 3 (family with improved accuracy, faster responses, long context and strong vision capabilities), Llama 3 (open-source models with 8B and 70B parameters; aims to match proprietary models and offers improved reasoning and code generation), GitHub Copilot Agent (agentic mode that autonomously breaks down tasks, applies changes, runs tests and opens pull requests while keeping developers informed).
Comparing Major Text‑to‑Image Models
How do Midjourney, DALL‑E 3 and Stable Diffusion differ?
- Midjourney focuses on photorealistic, cinematic imagery. The current versions (v6.1/v7) improved prompt understanding, deliver around 25% faster generation and foster a community‑driven evolution. However, Midjourney’s distinctive aesthetic may not suit documentary or technical projects, and it struggles to render readable text.
- DALL‑E 3 integrates with ChatGPT so users can iterate through conversation. It excels at rendering text with 3‑D effects and maintains scene coherence. OpenAI grants clear commercial usage rights and indemnifies users from copyright claims when using DALL‑E 3 through ChatGPT.
- Stable Diffusion is open source, which allows for custom models, fine‑tuning and local control. It’s cost‑effective and fosters community contributions, but results depend on selecting the right checkpoint and can be inconsistent.
Adobe Firefly and Other Image Tools
What does Adobe Firefly offer?
Adobe Firefly is a web‑based creative studio that unites top AI models—including Adobe’s own Image Model 5, partner models from ElevenLabs, Google, OpenAI, Runway and others—to generate images, video, audio and designs. The Firefly update announced at Adobe MAX 2025 adds:
- Licensed audio and voice‑over generation – Firefly’s Generate Soundtrack tool creates fully licensed instrumental tracks, while Generate Speech produces crystal‑clear voice‑overs with fine‑tuned emotion and supports multiple languages.
- Timeline‑based video editor – Firefly includes a multitrack video editor that lets users generate clips, add voice‑overs and soundtracks, and apply styles like claymation or anime directly in the browser.
- Prompt‑to‑Edit – a conversational interface for editing images using everyday language.
- Firefly Boards – collaborative mood boards that support 2D‑to‑3D object rotation and bulk image download.
- Custom models – creators can train Firefly Custom Models to generate assets in their own style.
Firefly emphasises that outputs are commercially safe: the models are trained on licensed and public data and include content credentials to indicate AI provenance. Adobe’s user guidelines forbid using generated content to train other AI models, creating pornography or hateful imagery, or infringing third‑party rights.
What are Figma’s AI features?
Figma’s AI tools transform the platform into a creative partner. They can generate wireframes and layouts from short prompts, recommend colour palettes and typography combinations, and fill mock‑ups with realistic text and product data. AI features summarise comments and auto‑document design systems, accelerating collaboration. Additional capabilities include accessibility checks (contrast, alt text), intelligent resizing and alignment, and code‑ready output for handoff.
What can Canva’s Magic Studio do?
Canva’s Magic Studio is a suite of AI tools that democratise design. Key features include:
- Magic Design – generates multiple designs (social posts, posters, videos, logos, presentations) from a text prompt or uploaded image. It automatically applies brand colours and fonts and produces coordinated templates.
- Magic Media – provides text‑to‑image, image‑to‑image and AI video generation, allowing users to produce product photos or video clips in styles like realistic, anime or 3D.
- Magic Switch – converts content between formats (blog → Instagram, slide deck → YouTube script) and languages in one click.
- Magic Write – built‑in copywriter for short‑form text such as captions, product descriptions and presentation scripts.
- AI editing tools – background remover, Magic Grab (move objects within an image) and Magic Expand (extend backgrounds); Magic Animate for object‑aware animation; and text‑based video editing for removing filler words and adding subtitles.
- Magic Presentation – generates slide decks from a topic, Magic Morph transforms text or shapes into art, and Magic Brand Kit detects fonts, colours and tone to keep designs on‑brand.
These tools make professional‑quality design accessible to non‑experts and complement other generative AI options.
Video Generation Tools
What is Runway Gen‑4?
Runway’s Gen‑4 model is a generative video system that can generate consistent characters, objects and locations across multiple scenes. It maintains coherent environments and preserves the style of reference images, enabling the creation of videos with recognisable characters and stable worlds. Gen‑4 also simulates physics more accurately than earlier models and allows regeneration of scenes from different perspectives.
What is OpenAI’s Sora?
Sora (released December 2024 and updated to Sora 2 in September 2025) uses a diffusion transformer to generate videos up to one minute long by denoising 3‑D patches. It can create coherent scenes with multiple objects but still struggles with complex physics, causality and distinguishing left from right. Sora enforces safety filters to prevent explicit, violent or celebrity‑focused content and embeds digital provenance metadata via C2PA.
What is Pika Labs?
Pika Labs’ 2.5 release turns the earlier Discord bot into a full web platform. It generates 1080p videos up to 10 seconds long, supports text and image prompts, and offers pricing tiers from free to $95/month. A standout feature called Pikaffects lets users add or modify effects—enhancing steam, motion or lighting—after a video is generated. Pika Labs excels at speed and affordability but produces shorter, less photorealistic clips than Sora or Runway.
Music and Voice Generation
How does Suno work?
Suno is a text‑to‑music generator that produces complete songs with vocals and lyrics. Users can supply a genre, mood or custom lyrics; the model then assembles instrumentation, melody and singing. Later versions (e.g., v5) provide higher audio quality and cleaner sound. Features include instrumental mode, song extension and remixing, and stem extraction on paid plans. Suno follows a freemium model: free accounts provide limited credits, while Pro/Premier subscriptions grant additional credits and the right to use generated songs commercially. Without an active subscription, new songs cannot be used commercially.
How does Udio differ?
Udio employs a hierarchical generative framework with instrument‑aware generation and offers detailed control parameters. It excels at sophisticated instrumental arrangements and stylistic authenticity but has a steeper learning curve, weaker vocal generation and longer generation times. Udio is suited to musicians who want fine‑grained control over arrangements, whereas Suno favours speed and accessibility.
What do ElevenLabs and Firefly offer for voices?
ElevenLabs provides realistic text‑to‑speech and voice cloning services. Users can generate multiple voices, dub content into 30+ languages, produce multi‑voice audiobooks, create video voice‑overs and podcasts, and even experiment with AI‑generated music. Adobe Firefly’s Generate Speech tool (public beta) offers a similar voice‑over capability with controllable emotion, pacing and multilingual support.
Language Models and Coding Tools
How do GPT‑5, Gemini 2.5, Claude 3 and Llama 3 compare?
| Model | Key improvements |
|---|---|
| GPT‑5 (Aug 7 2025) | Multimodal large language model with state‑of‑the‑art performance in maths, programming, finance and multimodal understanding. Features faster response times, better coding and writing, more accurate health answers and fewer hallucinations. Includes safe completions to reduce harmful outputs and a router that switches between fast and deep reasoning models. |
| Gemini 2.5 Pro | Google’s “thinking model” tops the LMArena leaderboard. It performs advanced reasoning, analysis and coding; provides a million‑token context window (with two million planned); and supports text, audio, image, video and code within a single prompt. |
| Claude 3 (Haiku, Sonnet, Opus) | Anthropic’s models deliver near‑instant results for tasks like live customer chats. Opus is the most capable, outperforming competitors on MMLU and other benchmarks. Claude 3 models improve analysis, forecasting, content creation, code generation and multilingual capabilities. They also offer long context windows (up to 200 k tokens, with 1 million for some customers), strong vision features and reduced refusals. |
| Llama 3 | Meta’s open‑source Llama 3 models (8B and 70B parameters) are designed to match proprietary models. They provide improved reasoning, code generation and instruction following while being openly available through cloud providers and hardware partners. Meta emphasises responsible use with new trust and safety tools. |
What is GitHub Copilot’s agentic mode?
GitHub Copilot began as a real‑time “AI pair programmer” and is evolving into an agentic system. In agentic mode, Copilot’s agents independently solve tasks through multi‑step reasoning. They break complex problems into steps, implement changes, run tests and iterate while keeping the developer informed. Copilot can also run in the background (coding agent) by spinning up a secure environment, cloning the repository, executing changes, validating with tests and opening a draft pull request. This shift lets developers delegate work while retaining control and transparency.
Ethics and Legal Considerations
Are AI‑generated works copyrightable?
The U.S. Copyright Office’s report on AI (January 2025) concludes that works generated wholly by AI are not eligible for copyright protection. Existing law requires human authorship, so output produced without meaningful human contribution is not copyrightable. Commentators disagree on how much human input is needed, and the Office is still refining guidance. When creating AI‑assisted art, adding personal creative input—such as detailed prompting, editing or post‑processing—may help satisfy copyright requirements.
What are the main ethical concerns with AI‑generated content?
Ethical considerations include:
- Intellectual property and ownership – AI tools are trained on massive datasets, including copyrighted material, raising questions about who owns the output and whether it infringes artists’ rights.
- Creativity and originality – Some argue that AI can only remix existing styles and lacks genuine human expression. Others view AI as a new medium controlled by artists.
- Privacy and consent – Training data often contains personal images; using AI to generate look‑alikes without consent raises privacy concerns.
- Bias and representation – Models can reproduce stereotypes and marginalise groups if trained on biased data. Ensuring diverse, fair datasets and monitoring outputs helps mitigate bias.
- Environmental impact – Training large models consumes significant energy, contributing to carbon emissions. Researchers advocate for energy‑efficient algorithms and sustainable practices.
Other concerns include misinformation and hallucinations (AI outputs that sound plausible but are false) and the risk of generating harmful or illegal content. Ethical guidelines emphasise transparency, respect for rights and responsible usage.
What guidelines should users follow?
Adobe’s generative AI guidelines provide a useful framework:
- Don’t train other AI on AI outputs – using generative results to train another model is prohibited.
- Be respectful and safe – avoid prompts that produce pornography, hate speech, violence or self‑harm.
- Be authentic – don’t impersonate others or manipulate engagement.
- Respect third‑party rights – do not use prompts or uploads containing copyrighted or trademarked material without permission.
- Review and validate outputs – generative AI may produce inaccurate or misleading results.
- Use professional judgement – AI content is not a substitute for legal, medical or financial advice.
- Commercial use restrictions – most outputs can be used commercially except when a product marks a feature as beta. Suno also restricts commercial use to paying subscribers.
By adhering to these principles, creators can enjoy AI tools while minimising harm.
Choosing the Right Tool and Getting Started
How do I choose the right creative AI tool?
Begin by identifying your goal:
- Images or design assets? Choose Midjourney or DALL‑E 3 for photorealistic or illustrative images, Stable Diffusion for custom control, or Firefly/Figma/Canva for integrated design workflows.
- Video projects? Runway Gen‑4 offers style consistency; Sora 2 excels at cinematic scenes but remains limited to one minute; Pika Labs suits quick social clips at low cost.
- Music or voice? Use Suno for fast full songs, Udio for advanced instrumental control, Firefly’s Generate Soundtrack for licensed tracks, or ElevenLabs for voice‑over and dubbing.
- Writing and coding? GPT‑5, Gemini 2.5, Claude 3 and Llama 3 offer different strengths; choose based on desired context window, multimodality and openness. GitHub Copilot provides integrated coding assistance with agentic features for more automation.
Also weigh factors such as ease of use (web app vs local install), cost (subscription vs open source) and rights (commercial usage, licensing). Open‑source models like Stable Diffusion or Llama 3 require more technical setup but offer greater control. Always review the provider’s terms and guidelines to ensure ethical and legal compliance.
How can I start using these tools responsibly?
- Educate yourself – Read official documentation and user guidelines for each tool (e.g., Adobe, OpenAI, Runway). Understand how the models work and what is allowed.
- Start small – Experiment with free tiers (Stable Diffusion, Pika Labs, Suno) before committing to paid plans. Use prompts to explore capabilities and limitations.
- Add human creativity – Use generative outputs as inspiration or drafts. Edit, remix and refine to inject your own style.
- Cite sources – When using AI assistance for writing or research, check references and cite authoritative sources rather than relying solely on AI output.
- Be transparent – When publishing AI‑generated content, disclose that AI was used, and include content credentials or watermarks if available.
- Consider the environment – Choose efficient models or limit generation runs, and support research into sustainable AI.
By following these guidelines and staying informed, you can harness creative AI tools while respecting artists, audiences and the environment.