Practical workflow for AI video generation using Seedance:
1. Upload character image → prompt "Show what happens next"
2. Take generated video → re-upload → prompt "Extend the video. Show what happens next"
3. Loop indefinitely
This is essentially chaining Seedance's video generation API in a recursive loop. Each iteration uses the previous output as input, creating continuous narrative sequences without manual keyframing.
Technically interesting because:
- Tests temporal consistency across multiple generation passes
- Explores how well the model maintains character identity through iterations
- Could reveal drift patterns in the latent space over extended chains
Limitations to watch:
- Quality degradation after N iterations (generation loss)
- Semantic drift from original character/context
- Computational cost scales linearly with iterations
Good hack for rapid prototyping story sequences or testing model robustness.
1. Upload character image → prompt "Show what happens next"
2. Take generated video → re-upload → prompt "Extend the video. Show what happens next"
3. Loop indefinitely
This is essentially chaining Seedance's video generation API in a recursive loop. Each iteration uses the previous output as input, creating continuous narrative sequences without manual keyframing.
Technically interesting because:
- Tests temporal consistency across multiple generation passes
- Explores how well the model maintains character identity through iterations
- Could reveal drift patterns in the latent space over extended chains
Limitations to watch:
- Quality degradation after N iterations (generation loss)
- Semantic drift from original character/context
- Computational cost scales linearly with iterations
Good hack for rapid prototyping story sequences or testing model robustness.