THE SMALLEST MODEL.
THE BEST RESULTS.
The #1 price-to-performance realtime avatar model on the market. One-shot, infinite sessions, and it runs on a $300 consumer GPU.
Every sample on our website uses a single face image — zero training, zero fine-tuning. Upload any photo and get a production-quality avatar instantly.
~100x
Smaller Model
vs LemonSlice-2 (20B)
180x
Cheaper
vs fal.ai LongCat 720p
$0.10
Per Minute
raw rendering cost
RTX 3060
Min GPU
$300 consumer card
Efficiency vs Quality
Model size vs visual quality on real samples. Atlas achieves comparable quality at a fraction of the parameters — on a consumer GPU.
Open-source models and LemonSlice-2 (860M–20B params). Visual quality assessed on generated video samples.
One-Shot Architecture
No avatar training. No digital twin pipeline. One image in, video out.
- ✗ Handpick a few showcase avatars
- ✗ Train on hours of video per identity
- ✗ Limited to preset avatar library
- ✗ Custom avatars cost extra and take days
- ✗ Quality degrades on unseen faces
- ✓ Any face image works — upload a photo, get an avatar
- ✓ Zero training, zero fine-tuning
- ✓ Every demo on our site is one-shot
- ✓ Same quality on any face, any angle
- ✓ Infinite sessions with no quality collapse
Platform Comparison
Atlas vs our closest competitors. The differences that matter aren't just quality — they're architectural.
| Atlas V1 | LemonSlice | Hedra | |
|---|---|---|---|
| One-shot (any face) | ✓ | ✓ | ✓ |
| Max session length | ∞ Infinite | ∞ Infinite | ~10 min |
| Quality collapse over time | None | None (claimed) | Unknown |
| Realtime latency | <200ms | ~730ms | <100ms |
| Consumer GPU compatible | ✓ RTX 3060 | ✗ | ✗ |
| Self-host / on-prem | ✓ | ✗ | ✗ |
| Model size | Small | 20B params | Unknown |
∞
Session Length
Others cap at ~5 minutes before quality degrades
One-Shot
Any Face Image
Others require trained avatars or preset libraries
Zero
Quality Collapse
No degradation at any session length
Model Size & Efficiency
Parameter Count
↓ lower is better
Min GPU Required
↓ lower is better
4 internal breakthroughs and over 1,000 failed experiments to get here. The result: a model that fits on a $300 consumer GPU while outperforming open-source models that require 8x datacenter GPUs costing $200k+.
What Others Get Wrong
Most avatar platforms trade quality for speed, lock you into expensive plans, or can't handle edge cases.
Credit Packs & Seat Fees
Most platforms force monthly subscriptions with credits that expire. Unused minutes are wasted.
Atlas: Pure pay-as-you-go. $0.10/min. No expiring credits, no seat fees.
Cloud Lock-In
Every competitor requires their cloud infrastructure. No self-hosting, no on-prem option.
Atlas: Runs on any GPU — our cloud, your cloud, or a laptop RTX 3060.
Slow Generation
Most models take 30–120 seconds per minute of video. Some queue for minutes before starting.
Atlas: ~5 second average latency. No queuing on dedicated infrastructure.
Poor Lip Sync on Edge Cases
Competing models break on fast speech, whispering, singing, or non-English phonemes.
Atlas: Trained on diverse audio including accents, multilingual speech, and varied cadences.
Rigid Avatar Selection
Limited to preset avatars or expensive custom digital twins. Can't use arbitrary face images.
Atlas: Any face image works. Upload a photo, get an avatar. Zero training needed.
No Webhook Support
Most APIs require continuous polling. No push notifications when jobs complete.
Atlas: Built-in webhook delivery with HMAC-signed payloads and automatic retries.
Why Smaller Wins
Faster Inference
A compact architecture means lower latency per frame. Atlas generates full videos in seconds while larger models take minutes.
Consumer Hardware
Runs on a $300 RTX 3060. No A100s, no H100s, no $10k/month GPU cloud bills. This is how we price at $6/hr.
Better Generalization
Efficient training on curated data beats brute-force parameter scaling. Any face, any audio, any language — zero fine-tuning required.
See for Yourself
Try the API, browse the demos, or check our pricing. Every sample is one-shot, every face is unseen.