Why Your VdoBloom AI Video Generation Failed: Every Error and Its Fix
The six reasons an AI video generation fails on VdoBloom, the exact error message each one produces, whether your credits come back, and what to change before you resubmit.
An AI video generation on VdoBloom fails for one of six reasons: you did not have enough credits, the prompt was blocked before the job started, a parameter the model does not accept, the model provider errored mid-job, an input image the model could not read, or a job that never came back and was closed by the recovery sweep. Four of those six return your credits automatically, and the other two never charged you in the first place. This guide names the exact error you saw, explains what VdoBloom did behind it, and tells you what to change.
First: a failed video should not cost you credits
VdoBloom deducts credits when a job is accepted, not when it finishes. If the job then fails, a refund is issued automatically. Three separate mechanisms do this: the generation task wraps every model call in a refund handler, the fallback path refunds when even the backup model cannot produce a clip, and a recovery service sweeps jobs left in pending or processing for more than 48 hours, marks them failed and refunds them. That last refund is claimed atomically per video, so two overlapping recovery passes can never pay you twice — and equally, cannot skip you.
Refunds return to the pool the credits came from, rebuilding the subscription half first because that is the half that expires at renewal. If a video shows Failed and the credits are not back within a few minutes, wait for the next recovery pass rather than resubmitting — resubmitting charges you a second time.
Error 1: Insufficient credits
The literal message is Insufficient credits. Required: 82, Available: 31. It is an HTTP 402 and the generation never reached the model, so nothing was charged. Both numbers are honest: Required is the exact cost of the tier you selected, Available is your one-time credits plus your subscription credits added together.
Two things surprise people. Cost scales with resolution far more steeply than with duration — a 5-second Seedance 2 clip is 38 credits at 480p, 82 at 720p and 203 at 1080p, so dropping one resolution step is usually the fix, not shortening the clip. And VdoBloom spends one-time pack credits before it touches your subscription allowance, so a balance you assumed was this month’s allowance may already be part pack. Compare tiers on the pricing page; one-time packs start at $2.49 for 75 credits and never expire.
Error 2: Your prompt was blocked before generation started
This is a 400, returned in under ten seconds, with no charge. VdoBloom runs its own classifier on every prompt and its scope is narrow and specific: nudity, and the removal or absence of clothing on a realistic person. It is not a general mood filter. Sexy, seductive, revealing, suggestive, swimwear, dancing, gym and fashion prompts are explicitly allowed — that is the whole point of the flexible content tier, and it is why prompts mainstream tools reject go through here. What is blocked is nudity, undressing, explicit acts, and anything sexualising a minor, which is blocked absolutely and without exception.
The practical fix: name the clothing. Describe the garment you want rather than a garment coming off. A prompt that says what she is wearing passes; a prompt that says what is being removed does not. Do not retry the identical prompt hoping for a different verdict — the classifier runs at temperature zero precisely so the same prompt gets the same answer every time. Rewrite, then resubmit. For clothed-but-bold work, effect tabs such as the bikini effect are already tuned to pass, and our content policy page sets out where the line sits.
Error 3: Parameter errors
These are easy to fix because the message names the offending field: a prompt shorter than three characters, a resolution the model does not offer, an aspect ratio outside its supported list, a duration outside range (Seedance 2 accepts 4 to 15 seconds, and 4 to 30 on the 2.5 engine), or mutually exclusive inputs — first-frame and last-frame images sent together with reference images. Use one input mode per job. Nothing is charged for a rejected parameter.
Error 4: The model accepted the job, then failed
Here the job reached the provider, got a task ID, and came back with a failure message that VdoBloom passes through verbatim. Typical causes are provider-side safety review on the generated frames (different from our prompt check, and stricter on some models), transient capacity errors, and reference images the model could not condition on.
VdoBloom does not simply surrender. When the primary model fails, the job is retried automatically on Hailuo 02 as a fallback, with the duration snapped to 6 or 10 seconds because those are the durations that model supports. If the fallback succeeds you get a video for the credits you already paid; if it also fails, the full amount is refunded. This is why a clip occasionally comes back looking slightly different from the model you picked — check the model badge on the result.
Error 5: Stuck on Processing
Most models return in one to four minutes; 1080p and long durations take longer. A job still spinning after an hour is usually one of two things: the provider lost the task, so the recovery sweep will poll it, fail it and refund you, or the server restarted between your click and the task being created — that case carries its own message, Generation never started — server was restarted before the task could be created, and is refunded on the same sweep. Either way, do not resubmit: a resubmission is a separate paid job.
Error 6: Image problems
Photo-to-video jobs fail on the photo more often than on the prompt. The model needs a clear single subject and a frame whose aspect ratio is close to the output you asked for — a 9:16 output from a wide landscape photo forces a crop that can cut the subject’s head, and some models reject the mismatch outright. Small faces, heavy motion blur, dense group shots and screenshots of screens are the reliable failure cases. Re-upload a sharp, well-lit photo where your subject fills much of the frame. If you animate a photo of a real person, you must have that person’s consent before generating.
Error reference table
| What you see | Stage it failed at | Credits | Fix |
|---|---|---|---|
| Insufficient credits. Required: X, Available: Y | Before submission | Not charged | Lower resolution, shorten the clip, or top up |
| Prompt blocked by the content check | Before submission | Not charged | Describe clothing, not undressing; rewrite, do not retry |
| Invalid resolution, aspect ratio or duration | Validation | Not charged | Use a value the model lists |
| Inputs are mutually exclusive | Validation | Not charged | One input mode per request: frames or references, never both |
| Provider failure message on the result | During generation | Auto-retried on Hailuo 02, refunded if that fails too | Simplify the prompt or change model |
| Stuck on Processing past 48 hours | Provider lost the task | Refunded by the recovery sweep | Wait for the sweep; do not resubmit |
| Generation never started — server was restarted | Before the task existed | Refunded by the recovery sweep | Resubmit once the refund lands |
A 60-second checklist before you press generate
- Check the cost shown for your exact resolution and duration, not the model’s headline price.
- Read your prompt back: is anything in it about clothing coming off? Rewrite it as clothing being worn.
- Match your photo’s aspect ratio to the output aspect ratio.
- Start at 720p; the same clip at 1080p can cost two and a half times as much.
- Use a proven prompt structure — the Seedance prompt library is a good shape for any model.
Still testing? The free tier gives every new account 10 credits with no card — enough to shake out prompt and photo problems before you spend on a 1080p render.
Frequently asked questions
Do I get my credits back when a video fails?
Yes, automatically, for any job that was charged and then failed. Jobs blocked at validation or by the prompt check are never charged at all. Refunds go back to the pool they were taken from, subscription credits first.
Why did the same prompt work yesterday and fail today?
The prompt classifier is deterministic, so a prompt that passes keeps passing. A same-prompt failure today is almost always a provider-side error on the generated frames, or a different input photo. Check whether the model, resolution or image changed.
My video says Processing but it has been hours. Should I generate again?
No. Generating again creates a second paid job. The recovery service polls stuck jobs, fails them and refunds them; wait for that rather than paying twice.
Why was my swimwear or dance prompt blocked?
It should not have been — swimwear, dance, fitness and fashion are explicitly permitted. If one was blocked, the prompt almost certainly contained undressing or removal language somewhere. Describe the outfit the subject is wearing instead.
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