To generate an AI image, choose an image generator, describe what you want to see, then refine the result with a clearer prompt or editing controls.
Start with the subject, setting and composition. For example: “A red ceramic mug on a wooden desk beside a window, soft morning light, close-up product photo, plain background.” This gives the tool something concrete to work with. “Make an amazing image” mostly leaves it guessing what amazing means to you.
Choose the image shape for its destination, such as a square post or a wide banner. Tools such as Adobe Firefly also offer model, style and reference controls. Generating a new image from a description is different from asking an editor to change an existing photo, so select the workflow that matches your job.
Inspect the first result before generating twenty more. Check lettering, hands, edges and any details that matter to the design. If the mug looks right but the background is busy, change the background instruction first. Keeping useful parts and making one clear adjustment makes your next attempt easier to judge.
Yes, some AI image generators offer free access, but the available models, generation allowance and export options depend on the service.
“Free” can mean a continuing free plan, a short trial or a pot of credits you receive once. Those are three different offers. Adobe, for example, describes limited daily free generations on selected models. Runway describes one-time free credits. Neither description means you can create unlimited images on every model.
Before signing up, check what you can actually download: the resolution, any watermark and the terms for your intended use. A preview that looks fine on a phone might be too small for the design you need. Also check whether the allowance refreshes and whether using a more demanding model consumes it faster.
Try a small, real task first: perhaps three images for a personal project. Record how many attempts produce something usable, rather than just counting the free credits. If you need a regular batch of finished images, compare the cost of that workload with a paid plan before collecting another dozen accounts.
Use an image-to-video tool: upload your photo as a reference or starting frame, describe the movement, then generate and review a short clip.
Choose a clear image with a simple scene for your first attempt. Where the tool offers them, set the duration and frame shape before generating. Adobe Firefly, for example, supports reference frames in its video workflow. The exact inputs and controls depend on the selected model, so check whether you are supplying a starting frame, an ending frame or a general reference.
Describe what should move rather than rewriting everything already visible. For a photo of a coffee cup, try: “Steam rises gently from the cup; the camera slowly moves closer; the desk stays still.” One modest action is easier to evaluate than asking the cup to fly through three cities in five seconds.
Watch the whole result, including its final frames. Look for changing shapes, drifting logos, extra objects and movement that breaks the scene. Keep your original image and prompt, then adjust one instruction for the next attempt. A moving version of a photo is generated material, not evidence that the photographed event happened that way.
Yes, some services offer limited free AI video generations or trials, but a free account does not guarantee access to the video model you want.
Check the actual generation screen as well as the pricing page. Adobe describes limited complimentary access to some premium features, including video. Other offers use one-time credits or restrict which models are available. A credit balance is not much use for your project if the required video model is behind a paid plan.
Look for limits on clip length, resolution, queues, downloads and watermarks. Then check whether the allowance refreshes or disappears once spent. Free image generation, video editing and creating a new video are different features; a service advertising one is not necessarily offering the others on the same terms.
Use a trial to test a small shot with a clear goal, such as a gentle camera move around a product. Count the attempts needed to get an acceptable result. If only one of several attempts is usable, your next decision should be based on the cost of a finished clip, rather than the promise of a free signup.
The cost of an AI video depends on the model, clip length, output settings and how many attempts you need to get a usable result.
Some apps charge a subscription with credits; APIs may meter generation by seconds and model-specific rates. Runway publishes separate API credit rates for its supported models. Do not assume a web subscription and an API purchase buy the same allowance. Resolution, audio and other options can also change the applicable price, so check the exact setting you plan to use.
Here is a made-up budget example, not a provider quote: if each five-second attempt costs $0.50 and it takes four attempts to get one keeper, that finished clip costs $2 in generation. Ten such clips would cost $20. Editing, voice work, subscriptions and unused attempts outside that example would add to the total.
For a real project, make one representative shot first. Note its settings, charge and number of retries, then use those observations to estimate the rest with a little room for revisions. The cheapest advertised second can become surprisingly expensive when your character grows a new elbow on every take.
Sometimes you can identify the tool from its creator or provenance information, but a video’s appearance alone cannot reliably prove which AI model made it.
Start with the original post and its description. Look for a creator’s workflow, a visible watermark or a link to the source file. If the original file is available, inspect any embedded metadata or Content Credentials. C2PA credentials can record signed information about a file’s origin and edits; their absence is not proof that the content is real or AI-generated.
Google’s SynthID provides another kind of signal for supported content: an embedded watermark that detection tools can check. It does not identify every generator on the market. A failed check can simply mean that the clip is outside the supported system, rather than that it was filmed with a camera.
Treat visual clues as leads, not a verdict. A polished clip may combine one tool for images, another for animation and an editor for sound and cuts. If there is no trustworthy source trail, “the generator is unconfirmed” is the useful answer. Guessing a fashionable model with confidence does not make the guess better.
How do I keep the same character across AI images and videos?
Use consistent reference images and character details, then make controlled changes; these improve continuity but do not guarantee identical results in every generation.
Create a small reference set before building a long sequence. For an original fictional character, that might be a blue robot with yellow eyes, a red antenna and a square backpack, shown clearly from a few useful angles. Keep those defining features in your prompts instead of reinventing the description for each scene.
Choose a tool and model that support the references you need. Runway’s reference-media workflow, for example, can guide characters, style and composition, with support varying by model. A seed can help control randomness in some tools, but it is not a universal identity lock that travels between unrelated models or settings.
Approve a still image before animating it, and compare each new shot with your references. Check the face, proportions, outfit and small identifying details. If the robot’s backpack changes colour, fix that shot before creating ten more. Consistency is a sequence of decisions and checks, rather than one magic sentence at the end of a prompt.
A good AI video prompt describes a clear subject, action and shot, with camera movement and visual details that support one coherent moment.
Begin with what the viewer should see happen. Then add framing, camera motion, lighting and style where they matter. Adobe’s guidance recommends clear, specific descriptions and refining the result. The controls differ between models: duration, reference frames or audio may have their own settings rather than responding to words in the prompt.
For example: “A small blue robot waters a sunflower on a balcony. Medium shot; the camera slowly moves closer. Warm late-afternoon light, gentle breeze, realistic textures.” That describes one short scene. If you want a particular sound and your chosen model supports it, specify that separately or add it during editing.
Generate, watch and change the instruction responsible for the biggest problem. If the camera moves too quickly, simplify that movement before rewriting the character and setting. Avoid asking for a close-up, a distant aerial view and three scene changes at once. Your prompt is a brief for one shot; it does not need to carry an entire film franchise.
A deepfake is AI-generated or AI-altered media that imitates someone’s appearance or voice, potentially making them seem to say or do something they never did.
It can be a face swapped into a video, a fabricated image of a person or a cloned voice in an audio call. NIST describes these techniques within the wider field of synthetic content. Not every AI picture is a deepfake: an invented cartoon landscape does not, by itself, impersonate a real person.
The context matters as much as the pixels. An openly labelled imitation used in a film is different from a fake message presented as a genuine emergency. The FTC warns that scammers can clone a loved one’s voice. If a supposed relative urgently asks for money, contact them through a number you already know rather than trusting the voice alone.
For a surprising public clip, find the original source, check the date and look for independent confirmation. Strange hands or unnatural blinking can be clues, but they are not a dependable authenticity test. Equally, a convincing voice or smooth video is not enough to establish that the person really said what you heard.
Can I use AI-generated images and videos commercially?
Often you can use AI-generated images and videos commercially, but permission depends on the tool’s terms, your plan and any rights involved in the material.
Read the terms for the exact feature you used, including any beta restrictions. Adobe, for example, generally permits commercial use of Firefly outputs subject to stated exceptions. That is a provider’s permission; it does not automatically clear somebody else’s photograph, trademark, character or likeness appearing in your project.
Permission to use an output and copyright protection for that output are separate questions. In the United States, the Copyright Office requires human authorship for protection, while human selection, arrangement or modifications can matter. That is a US position, not a rule to assume everywhere. The relevant law and facts can differ across countries.
Before selling a design, keep a record of the tool, applicable terms, source assets and your own editing. Check client or marketplace requirements too. A useful first review is simple: do I have permission for my inputs, does the service allow this use, and could the result borrow protected material or misrepresent a real person? Resolve those questions before putting the image on a product.