Quiz ci modelu diffusion wideo

Sooy def quiz bi, tontu yi ak leeral yi dañuy feeñ.

1. Lan mooy xalaat bu am solo bi ci ginaaw xeetu diffusion?
   • Jàng soppi doxalin buy yokk bruit ndànk-ndànk, dindi bruit jéego ci jéego
   • Kopie ay kadre ci wideo yu fi nekk
   • Komprime audio ci nataal
   • Encrypter ay done ngir kaaraange
2. For a video diffusion model, what does temporal modeling add to the denoising process?
   • It guarantees every object remains physically correct
   • It lets the model represent dependencies among frames over time
   • It removes the image decoder from the pipeline
   • It turns each video into one text token
3. Why does the cited Stable Video Diffusion model use a latent representation?
   • To avoid using any learned decoder
   • To store all frames as discrete text tokens
   • To perform video diffusion on compressed latents before decoding frames
   • To guarantee there will be no flicker
4. How did the Stable Video Diffusion paper adapt an image diffusion model for video?
   • It replaced every image layer with a speech recognizer
   • It trained only a language model on video captions
   • It removed the image model and used optical flow alone
   • It inserted temporal layers into a pretrained image model and fine-tuned them on video data
5. Ban pexe mooy jàppale modelu diffusion wideo mu topp ab bind bu dëgër?
   • Njàngale bu amul xaaj
   • Mexas aleatoire des cadres
   • Wàññi dayo
   • Di dindi laaj bi yépp
6. Lan moo waral ñuy jëfandikoo pexe yu melni distillation ak solver yu gëna gaaw ci diffusion wideo?
   • Ngir model bi fàtte ay done
   • Ndax jéego yu bari yi denoising sampling yeexna te dañu wàññi limu jéego yi
   • Ngir yokk bruit budul jeex
   • Ngir dindi bataaxal bi
7. In the Stable Video Diffusion paper, what distinguishes the SVD-XT model from the 14-frame SVD model?
   • It replaces diffusion with autoregressive text generation
   • It removes temporal layers and generates only a still image
   • SVD-XT is fine-tuned to generate 25 frames instead of 14
   • It uses audio tokens as the only conditioning input
8. What is one tradeoff when using fewer denoising steps through distillation or a faster solver?
   • Zero compute is required
   • The video no longer needs conditioning
   • Every result becomes temporally perfect
   • Faster generation may change fidelity or motion quality and must be evaluated