PixVerse can animate a generated still image into a short video: upload a JPG, JPEG, PNG, or WebP (or provide an image URL), choose an image-to-video model, describe the motion you want, set duration and quality, then generate and download the result. For the best starting point, use a well-lit image with a recognizable subject, room around it, and at least 1024×1024 pixels.
The current PixVerse capability documentation lists C1 and V6 for image-to-video. V6 supports clips from 1 to 15 seconds and output up to 1080p, while API use requires an API key, a unique Ai-trace-id for every request, and available credits or an active subscription.
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What PixVerse image-to-video does
PixVerse’s image-to-video workflow starts with a static image and generates movement, camera behavior, and atmosphere around the visual information already present. The platform describes the service this way: “The Image-to-Video API transforms static images into dynamic videos with motion and effects.” Your prompt supplies the action; the model interprets the subject, composition, and lighting in the source image to create each frame.
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This is different from making a video entirely from text. The uploaded image anchors the subject and scene, so the choice of source image has a major effect on identity consistency, framing, and the kinds of movement the model can plausibly produce.
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Prepare the generated image
Use a supported file or URL
PixVerse accepts uploaded images in JPG, JPEG, PNG, and WebP formats. You can also submit an image URL when using the API. The documented maximum image dimension is 10,000 pixels. Extremely large files should be resized before upload if they exceed that limit.
Meet the practical quality target
PixVerse recommends a source image of at least 1024×1024 pixels. That is a recommendation rather than a requirement for every request, but a low-resolution or heavily compressed image gives the model less detail to preserve when it creates motion.
- Choose clear lighting and visible contrast between the subject and its background.
- Keep the main subject recognizable and leave some space around it for camera movement.
- Avoid heavy text overlays, logos, and watermarks; these can become distorted as the image is animated.
- Check that faces, hands, product edges, and other important details are sharp before uploading.
Plan the movement before you generate
A still image cannot reveal how an object should move, so decide whether you want subject motion, camera motion, environmental motion, or a combination. A portrait might need a slow head turn and a gentle push-in. A landscape might need drifting clouds, rippling water, and a lateral camera move. Writing down the intended action first makes the prompt more precise and reduces random motion.
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Step-by-step: turn the image into a video
- Select image-to-video. Open PixVerse’s image-to-video workflow and provide the generated still by uploading it or supplying its image URL.
- Choose a supported model. The current capability matrix lists C1 and V6 for image-to-video. Select V6 when you need its broader workflow coverage, including reference-to-video or video extension, as well as image animation.
- Write a motion prompt. Describe what moves, how fast it moves, the camera behavior, and the visual atmosphere. Keep the subject and action compatible with the source image.
- Set the motion controls. In API requests, the documented fields include
prompt,motion_mode, and an optionalcamera_movement. The equivalent controls in the generation interface should express the same decisions: the action, the motion style, and any camera move. - Choose duration and quality. V6 documentation lists 1-, 2-, 3-, 4-, 5-, 6-, 7-, 8-, 9-, 10-, 11-, 12-, 13-, 14-, and 15-second image-to-video clips, with quality choices of 360p, 540p, 720p, and 1080p. Start with a shorter clip while refining the prompt, then increase duration or resolution for the selected take.
- Submit the generation. API requests need an API key, a unique
Ai-trace-idfor each request, and enough credits or an active subscription. A successful request returns a video ID. - Check the status and download. Poll or otherwise check the generation status using the returned video ID. When generation completes, download the resulting video and inspect it at full size for subject drift, unwanted camera movement, and artifacts.
How to write a motion prompt that behaves predictably
Describe the motion in layers rather than writing a list of unrelated visual adjectives. A useful order is subject action, camera action, speed, and atmosphere.
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Subject action
State exactly what should move: “the cyclist pedals slowly,” “the cat turns its head toward the window,” or “steam rises from the cup.” Use one or two primary actions for a short clip. Multiple simultaneous actions can cause the model to change details that should remain still.
Camera action
Specify whether the camera is static, panning, tilting, orbiting, or pushing in. If you want the subject to stay centered, say so. For example: “slow push-in, subject remains centered, stable horizon.” The optional camera_movement field in an API request can carry this camera instruction separately from the main prompt.
Speed and timing
Words such as “slow,” “gentle,” or “subtle” are useful when you want continuity. “Rapid” or “energetic” can produce stronger motion but also increases the chance of warped edges and unstable details. Match the wording to the clip length: a single action over three seconds should be more restrained than the same action over fifteen seconds.
Atmosphere and restraint
Use atmosphere to support the source image: “soft morning light,” “light breeze,” or “cinematic night ambience.” Avoid asking for a new location, a different subject, or a major wardrobe change when the image-to-video task is supposed to preserve the original scene.
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Prompt examples
- Portrait: “The subject slowly turns toward the camera and smiles, hair moving slightly in a gentle breeze, subtle push-in, stable facial features, natural daylight.”
- Product image: “The bottle remains upright while light sweeps across the label, slow clockwise camera orbit, clean studio background, no added text.”
- Landscape: “Clouds drift slowly above the mountain, grasses move in a light wind, very gentle left-to-right pan, peaceful late-afternoon atmosphere.”
C1 and V6: which model should you use?
Both models are documented as image-to-video options. V6 is the more versatile choice when the project may later require reference-to-video or video extension. The capability matrix identifies the following differences.
| Capability | C1 | V6 |
|---|---|---|
| Image-to-video | Supported | Supported |
| Reference-to-video | Not listed in the current capability matrix | Supported |
| Video extension | Not listed in the current capability matrix | Supported |
| Maximum duration | 15 seconds listed in the capability matrix | 15 seconds |
| Maximum resolution | 1080p listed in the capability matrix | 1080p |
| Pricing basis | Per-second pricing; current rate depends on the model documentation and plan | Per-second pricing; current rate depends on the model documentation and plan |
Choose C1 when ordinary image animation is all you need and its current availability or rate suits your account. Choose V6 when you want the documented 1–15-second range, up to 1080p output, or a workflow that may include reference-to-video and video extension. Model capabilities and prices can change, so check the current PixVerse model and plan pages immediately before committing production credits.
Duration and quality settings
Start short, then scale up
A short test makes it easier to identify a bad prompt or unsuitable source image without spending credits on a long generation. Once the movement is stable, select the duration required by your use case, up to the documented 15-second maximum for V6.
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Choose resolution for the job
V6 offers 360p, 540p, 720p, and 1080p choices. Lower resolutions are useful for prompt iteration and previews. Use 1080p when the final delivery needs it and the source image contains enough detail to justify the larger output. Increasing resolution cannot restore information that was absent from the original still.
Using the API for repeatable generation
The API is useful when you need to create many clips, connect PixVerse to an application, or keep generation settings consistent. A request should include the source image or image URL, a motion prompt, a motion_mode, and, when needed, camera_movement. Authenticate with your API key and generate a fresh, unique Ai-trace-id for every request.
Operational checklist
- Validate the image format and dimensions before sending the request.
- Store the returned video ID so your application can check the generation status.
- Record the model, duration, quality, prompt, and trace ID with each job for troubleshooting.
- Confirm that the account has available credits or an active subscription before submitting batches.
- Handle moderation and generation errors explicitly instead of treating every failed request as a network problem.
Interpreting failed requests
PixVerse documents status code 7 as a content moderation failure and status code 8 as a generation failure. A moderation failure means the request was rejected by the platform’s safety checks; changing technical settings alone will not resolve it. A generation failure indicates that the job did not complete, so check the request fields, source image availability, model support, account status, and returned error details before retrying.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Troubleshooting common results
The subject changes identity or shape
Use a sharper source image with stronger lighting and more space around the subject. Reduce the prompt to one primary action and ask for a stable camera. Faces, hands, thin objects, and small text are especially sensitive to motion, so avoid demanding several simultaneous movements.
The camera moves when you wanted a static shot
State “static camera” or “locked-off shot” in the prompt and remove words such as “cinematic sweep,” “orbit,” or “dramatic tracking.” If using the API, keep the camera_movement value aligned with a static shot rather than leaving conflicting camera directions in the text prompt.
The output contains warped text or logos
Remove heavy text and watermarks from the source image where possible. If text must remain, use a clean, high-contrast source and limit motion around it. Image-to-video models are designed to animate scenes, not to preserve every small letter perfectly through multiple frames.
The result is blurry or noisy
Inspect the original image first; compression, poor lighting, and low contrast are often carried into the animation. Test at a lower resolution while refining the prompt, then switch to a higher quality after the motion is acceptable. A higher output setting does not compensate for a soft source image.
The request is rejected or never completes
Check that the image is reachable when supplied by URL, that the format and dimensions are supported, and that the selected model supports image-to-video. Confirm the API key, available credits or subscription, and unique Ai-trace-id. For a completed response with status code 7, revise the content to meet moderation requirements; for status code 8, inspect the request and retry only after correcting its likely cause.
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The official capability information describes per-second pricing for both C1 and V6, but the exact rate depends on the current model and plan. Credits are consumed by generation, so a practical workflow is to use short, lower-quality drafts to refine the source image and prompt, then spend credits on the final duration and resolution. Treat any price shown in an account or plan page as time-sensitive rather than as a permanent rate.
For a single clip, the main planning variables are source-image preparation, model selection, seconds generated, output quality, and the number of retries. For a batch workflow, also budget for failed generations and moderation-rejected requests, and log each job so you can identify whether failures come from the image, prompt, model, or account configuration.
Quick Recap
Final review before you publish the clip
- Watch the entire clip, not just the first frame.
- Check that the subject remains recognizable and that important edges do not melt or duplicate.
- Verify that the camera movement matches the intended direction and speed.
- Look for distorted text, watermarks, hands, faces, and repeating background artifacts.
- Confirm the duration and resolution meet the destination platform’s requirements.
- Keep the prompt and generation settings with the downloaded file so you can reproduce or revise the result.
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