Ship 4K+ outputs without paying 4K+ generation costs
FullScale is the last step in your image/video pipeline: take outputs from any model provider, upscale with color-accurate fidelity, and deliver a production-ready asset to your users.
How it works
Add FullScale after generation. You keep your provider, prompt stack, and creative workflow — we make the output production-grade.
1) Generate
Sora / Runway / SD / Midjourney / anything.
1024–2048px, fast + cheap.
2) FullScale
2× / 4× / 6× upscale with fidelity modes.
Style-preserving, color-accurate.
3) Deliver
Return your normal output API or CDN URL.
4K+ assets for customers.
Why teams use it
- Reduce generation cost: generate small, deliver large.
- Preserve brand & art direction: no hallucinated edits.
- Drop-in REST integration: fits existing pipelines.
- Enterprise controls: SLA, dedicated GPUs, white-label.
Simple, predictable pricing
Pay per frame. No hidden fees, no minimums.
Based on 10-second clips at 30fps (300 frames). Images are priced per-image.
Cost leverage
Generate at 1K. Deliver at 4K. Lower compute per asset.
Low latency
Fast enough for interactive tools and pipeline post-processing.
Fidelity-first
Maintain the exact look; add pixels without rewriting content.
Production formats
Images + full video with audio for real workloads.
API-first integration
Use FullScale as the final step: take the output of any streaming generative provider, call our upscale, and return your existing output API.
curl -X POST https://m80ai.com/api/fullscale \
-H "Content-Type: application/json" \
-H "X-API-Key: fs_YOUR_API_KEY" \
-d '{
"image_base64": "<base64 PNG/JPEG>",
"scale": "4x",
"quality": "faithful"
}'Authentication uses the X-API-Key header.
Interactive demo
Proof the quality on your assets. This UI is a proof-of-concept; the production API/pipeline supports the full format matrix.
Drop an image or video
PNG/JPG/WebP • MP4/MOV
Max input: 1920×1080 (optimized for AI-generated content)
Enterprise deployment
Dedicated GPU capacity, SLA, usage reporting, webhook orchestration, and white-label output endpoints.