From d6eb581876d6f18fb6d907ed8a1bd93c59c4a0d3 Mon Sep 17 00:00:00 2001
From: Lunar Ring <78172771+lunarring@users.noreply.github.com>
Date: Wed, 11 Jan 2023 13:41:51 +0100
Subject: [PATCH] Update README.md

---
 README.md | 3 ++-
 1 file changed, 2 insertions(+), 1 deletion(-)

diff --git a/README.md b/README.md
index 4e85970..bf3f076 100644
--- a/README.md
+++ b/README.md
@@ -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)