Today, we are happy to release P Video 2 Pro, Based on H3 from @MiniMax_AI .
Highest Quality, Highest Speed.
More benchmarks (and more models?!) coming soon!
Today, we launch P-Video-2-Pro, based on MiniMax H3: The best quality. The best speed.
Text or image in. Video and audio out.
โข ๐๐ป๐ฝ๐๐: Text or first-frame image, with optional last-frame conditioning
โข ๐ฆ๐ฝ๐ฒ๐ฒ๐ฑ: ~2.0s for a 5s clip at 480p ยท ~4.3s at 768p in Speed mode
โข ๐ฃ๐ฟ๐ถ๐ฐ๐ถ๐ป๐ด: From $0.02/s Speed ยท $0.04/s Quality
โข ๐ ๐ผ๐ฑ๐ฒ๐: Speed or Quality
โข ๐๐ผ๐ป๐๐ฟ๐ผ๐น: First and last frame, seed, aspect ratio, and prompt upsampling with Off, Turbo, or Max
Available via our inference partners @replicate, @Cloudflare, @eachlabs, @scenario_gg, @TellersAI, @wavespeed_ai, @wiroai, @runware, and @togethercompute
Validated by our benchmark partners @datapointai, @RapidataAI, and @DesignArena. Benchmarks to be released soon ๐
๐ Free Playground: https://t.co/5CmcoZKi6O
๐ Model docs: https://t.co/epxE9Dobog
๐งฉ API: https://t.co/DVBQ8K71iX
Tried the new talking portrait model and ended up with something that felt more like a short memory.
Same person, same soft voice shown in different styles and ages.
The expressions and lip sync is ๐ฅ
Made with the new P-Video-2-Pro-Avatar on @PrunaAI.
๐๐ก๐ ๐๐ฅ๐๐ฒ๐ ๐ซ๐จ๐ฎ๐ง๐ ๐ข๐ฌ ๐๐๐๐ค ๐๐ง๐ ๐๐๐ญ๐ญ๐๐ซ ๐ญ๐ก๐๐ง ๐๐ฏ๐๐ซ!
If you havenโt noticed yet, the Playground is available again, now powered directly by the API. This means:
1) Forget about sharing it with others and being limited
2) No more 5-generation limit -> Use your credits to create as much as you want.
Sign up now in the Dashboard, add your payment information, and get $20 in free credits (+100 video generations), with no other commitment required!
Start creating in the Playground today: https://t.co/NQcQumC4N3
A single photo can become a video of a talking avatar, complete with natural expressions and lip-syncing.
P-Video-2-Pro-Avatar also supports audio alone or speech from text, up to 3 minutes. It's interesting to create content without needing to re-record it.
The 50% launch discount is valid until November 5.
@PrunaAI
ceo: how much did that 60 second avatar video cost
me: $1.20
ceo: per second??
me: for the whole video
list price. $0.60 during the 2 week launch window
One image. Two ways to bring it to life.
P-Video-2-Pro-Avatar is here!
Powered by MiniMax H3, delivering realistic expressions, natural motion, and accurate lip-sync from a single portrait.
Your image. Your voice. Your story.
This is where AI avatars get REAL.
@PrunaAI
You can now animate all pieces of art in seconds ๐ญ
We are super happy to release P-Video-2-Pro-Avatar, creating the highest-quality avatars at the highest speed.
Try it on the Pruna API here: https://t.co/YaF4gKuKQw
Introducing P-Video-2-Pro-Avatar, based on @MiniMax_AI H3 !
Turn a single portrait into a realistic talking video with natural expressions and accurate lip sync.
And for launch, it's 50% off for the first two weeks, until November 5 at 18:00 CET!
โข ๐ฃ๐ฟ๐ถ๐ฐ๐ถ๐ป๐ด: $0.02/s at 480p ยท $0.04/s at 768p
โข ๐ฆ๐ฝ๐ฒ๐ฒ๐ฑ: ~0.97 s at 480p ยท ~2.2 s at 768p per second of output video
โข ๐๐ป๐ฝ๐๐: One portrait with a text script or uploaded audio
โข ๐ฉ๐ผ๐ถ๐ฐ๐ฒ๐: 30 voices across 10 languages
โข ๐๐๐ฟ๐ฎ๐๐ถ๐ผ๐ป: 1sโ3min at 24 fps, in 480p or 768p
โข ๐๐ผ๐ป๐๐ฟ๐ผ๐น: Voice delivery, scene motion, seed, and prompt upsampling
One image, two ways to bring it to life. Use your own audio or generate speech directly from text.
Available via our inference partners @replicate, @eachlabs, @Cloudflare, @scenario_gg, @wavespeed_ai, @WiroAI, Sociaro, @TellersAI, and @togethercompute.
๐ Model docs: https://t.co/4e81CKYbpQ
๐งฉ Try the model through the API or Playground: https://t.co/DVBQ8K71iX
Below 4 bits, the โimplementation detailsโ become the method. Representation, calibration data and recovery data decide whether a 2-bit model works at all.
1๏ธโฃ Representation dominates: At ~2 bits, when scalar PTQ falls to chance, vector PTQ can maintain accuracy.
2๏ธโฃ Calibration and recovery data must be chosen jointly: Using recovery data different from calibration performs better.
3๏ธโฃ Recovery is cheap but model-dependent: while vector quantization recovery works well on some models with 1.4โ30x less compute than any QAT, no recovery worked best on some models.