Your video looks softer than you expected once it is out of Echonos and sitting on a phone screen or a platform feed. Before assuming something is broken, it helps to know the actual output spec: with the Orpheon model, the strength setting decides the resolution (Low renders at 480p, Medium at 720p, High at 1080p), so a run on Low will look soft on a large screen by design. Once a run is on the setting you meant to use, a music video low resolution fix almost always starts somewhere other than "the generator produced low resolution," because that specific failure mode is rare.
What is common: the platform you uploaded to recompressed the file, you accidentally re-uploaded an already-compressed export instead of the original, or a scene that looks soft is actually a motion blur or focus choice baked into the prompt rather than a resolution problem at all. Each of those has a different fix.
Key Takeaways
- Output resolution follows the settings you pick. With Orpheon, Low, Medium and High strength render at 480p, 720p and 1080p, so check which one a run used before troubleshooting anything else.
- Platform recompression is the most common reason a video looks softer after upload. TikTok, Instagram, and YouTube Shorts all re-encode uploaded video, which can visibly soften detail beyond what your export contained.
- Re-uploading an already-compressed file compounds quality loss. Always upload from the original export, not a copy that has already been through a platform once.
- Motion blur and soft-focus prompt choices are sometimes mistaken for a resolution problem. A scene generated with deliberately soft, dreamy lighting language will look less sharp regardless of resolution.
- Re-running the moment in Create is the fix for a scene that is genuinely soft, with tighter focus language and, on Orpheon, High strength for 1080p.
- Uploading the right source file to each platform avoids compounding compression on top of whatever the platform already applies.
Why a Music Video Exports at Low Resolution
Start by ruling out the actual generation. Check which model and settings the run used: on Orpheon, Low strength renders at 480p and Medium at 720p, so a clip made on either will look soft next to a 1080p High run, especially on a laptop or TV. If a run on High genuinely looks low resolution straight out of Echonos, before any upload or platform involvement, that is worth investigating as a specific issue rather than assuming it is expected behavior.
In practice, the overwhelming majority of "this looks low resolution" reports trace to something that happened after the file left Echonos, not to the file itself. That is the distinction this post focuses on, because treating a post-export problem as a generation problem leads to the wrong fix (re-running moments that were never actually the issue).
Source Quality vs Export Settings
Two things determine how a video looks once it reaches a viewer: the quality of the file you exported, and what happens to that file between your export and the viewer's screen.
The file you download from Echonos is the highest-quality version you will have. Every step after that, uploading to a platform, that platform re-encoding it, someone downloading and re-uploading it elsewhere, only has the potential to reduce quality further, never to add it back. This is worth internalizing because it reframes the troubleshooting question. Instead of "why is my video low resolution," the more accurate question is usually "at which step after export did quality get lost, and can I avoid that step next time."
A quick way to isolate this: play your original exported file directly, full screen, before uploading it anywhere. If it looks crisp there and soft only after you upload it somewhere, the export was fine and the loss happened downstream.
Re-running Soft Scenes at Higher Clarity
If a specific scene looks soft even in the original export, before any platform is involved, first check the strength setting: an Orpheon run on Low or Medium renders at 480p or 720p, and switching to High renders at 1080p. If the run was already on High, the fix is running that moment of the song again in Create rather than searching for a resolution setting that does not exist.
What actually helps in this situation: check whether the scene's prompt included soft-focus or heavy motion blur language, since that is a stylistic choice that reads as low resolution even though the underlying output resolution is unchanged. If the softness was not intentional, run that moment again with tighter, more specific camera and focus language (in your Storyboard beats, if you use Orpheon), then swap the new take into your cut in any video editor, leaving the rest of the video untouched.
For scenes that combine softness with other quality complaints, like visible instability between frames, that is usually a separate issue worth diagnosing on its own terms. The guide to fixing flicker in AI video covers frame-to-frame instability specifically, which is a different symptom from a scene simply looking soft or blurry throughout.
Delivering the Right Resolution Per Platform
TikTok, Instagram, and YouTube Shorts all re-encode video on upload as part of their own delivery pipeline. This is standard practice across nearly every major platform and it is not unique to any generation tool, it happens to professionally shot footage too. The re-encoding is often more aggressive than people expect, and it can visibly soften fine detail, especially in fast motion or complex textured scenes, beyond whatever the source file already looked like.
A few things that reduce how much a platform's recompression shows:
- Upload the original file you downloaded from Echonos rather than a version that has been through any intermediate editing tool that re-saves the file.
- Avoid unnecessary re-encoding steps in your own workflow between export and upload. Every additional save-and-convert step is a chance to lose quality that recompression will then compound.
- If a platform offers an option related to upload quality or data usage during the upload flow, use the highest setting available, since some platforms apply more aggressive compression by default on data-saving settings.
None of this eliminates platform recompression entirely; it is largely outside your control once the file reaches the platform's own pipeline. But starting from the cleanest possible source file meaningfully changes how much softness survives the process.
Avoiding Quality Loss on Re-Upload
The single most avoidable cause of a video looking low resolution is re-uploading a file that has already been through one platform's compression to a second platform, or downloading a video from a platform and re-uploading that downloaded copy anywhere else.
Once a file goes through a platform's re-encode, that quality loss is baked in. Uploading that same file to a second platform compounds the loss rather than starting fresh. The reliable habit is keeping your original Echonos download as the single source file, and uploading directly from that original to every platform you post to, rather than daisy-chaining uploads through one platform to another.
If you have lost access to the original export and only have a platform-downloaded copy, the practical fix is going back into Echonos and downloading the original again rather than trying to salvage the compressed copy. A softened file cannot be restored to its original quality through re-uploading or basic editing.
FAQ
FAQ: Resolution, Formats, and Compression
5 questions answered. Tap to expand.
What resolution does Echonos actually output?
What resolution does Echonos actually output?
It depends on the model and settings you pick for a run. With Orpheon, Low strength renders at 480p, Medium at 720p and High at 1080p, in 9:16, 16:9 or 1:1. If a High run looks meaningfully below 1080p straight out of Echonos, before any upload, that is worth treating as a specific issue rather than expected behavior.
Why does my video look softer on TikTok or Instagram than it did in Echonos?
Why does my video look softer on TikTok or Instagram than it did in Echonos?
Nearly every major platform, including TikTok, Instagram, and YouTube Shorts, re-encodes uploaded video as part of its own delivery pipeline, and that re-encoding can visibly soften detail beyond your original export. This happens to conventionally shot footage too and is not specific to AI-generated video. Uploading your original export directly, rather than a copy that already passed through another platform, minimizes how much this shows.
Is a blurry scene always a resolution problem?
Is a blurry scene always a resolution problem?
Not always. Motion blur and soft-focus lighting language in a prompt can produce a scene that looks less sharp by design, which is a stylistic outcome rather than a resolution failure. Check the scene's prompt for that kind of language before assuming the resolution itself is the issue, since regenerating with tighter camera and focus wording is a different fix than anything related to output resolution.
Should I upscale my exported video before uploading it?
Should I upscale my exported video before uploading it?
Generally no. Upscaling a file that is already at its native resolution does not add real detail; it can introduce its own artifacts and does nothing to prevent platform recompression, which happens regardless of the file's starting resolution. The more effective step is uploading the cleanest original export directly rather than adding an upscaling pass in between.
Can re-uploading the same video to a second platform make it look worse than it did on the first?
Can re-uploading the same video to a second platform make it look worse than it did on the first?
Yes, if the file you re-upload has already been through the first platform's compression rather than being your original Echonos download. Each additional re-encode compounds quality loss. Keeping your original export as the single source file and uploading from that same original to every platform avoids this compounding effect.
If the softness you are seeing shows up alongside flicker or visible instability between frames rather than as a consistent overall blur, that is a different root cause covered in the guide to reducing flicker in AI video, and it is worth ruling out separately before assuming a resolution issue.
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Written by
Hari DevanathanLead Backend Engineer
Ex-Microsoft and Senior AI/Cloud Engineer at Leidos, building NLP, OCR, vector search, and LLM pipelines that generated ~$20M annually. Owns Echonos' audio intelligence and black-box generation pipeline, including audio analysis, beat detection, and GCP infrastructure.