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@ -137,7 +137,8 @@ lb.setup_branching(num_inference_steps, list_nmb_branches, list_injection_streng
With latent blending, we can create transitions that appear to defy the laws of nature, yet appear completely natural and believable. The key is to surpress processing in our [dorsal visual stream](https://en.wikipedia.org/wiki/Two-streams_hypothesis#Dorsal_stream), which is achieved by avoiding motion in the transition. Without motion, our visual system has difficulties detecting the transition, leaving viewers with the illusion of a single, continuous image. However, when motion is introduced, the visual system can detect the transition and the viewer becomes aware of the transition, leading to a jarring effect. Therefore, best results will be achieved when optimizing the transition parameters, particularly the depth of the first injection.
# Coming soon...
- [ ] Huggingface / Colab
- [ ] Huggingface / Colab Interface
- [ ] Interface for making longer videos with many prompts
- [ ] Transitions with Depth model
- [ ] Zooming
- [ ] Iso-perceptual spacing for branches (=better transitions)