diff --git a/assets/boston.yaml b/assets/boston.yaml
index 0bbfaaa9..adec6753 100644
--- a/assets/boston.yaml
+++ b/assets/boston.yaml
@@ -22,3 +22,24 @@
   prohibited_uses: ''
   monitoring: ''
   feedback: https://huggingface.co/garage-bAInd/Platypus2-13B/discussions
+- type: model
+  name: UFOGen
+  organization: Boston University
+  description: UFOGen is a novel generative model designed for ultra-fast, one-step text-to-image synthesis.
+  created_date: 2023-11-14
+  url: https://arxiv.org/pdf/2311.09257.pdf
+  model_card: none
+  modality: text; image
+  analysis: UFOGen is evaluated on standard image benchmarks against other models fine-tuned with Stable Diffusion.
+  size: 900M parameters (dense)
+  dependencies: [Stable Diffusion]
+  training_emissions: unknown
+  training_time: unknown
+  training_hardware: unknown
+  quality_control: ''
+  access: open
+  license: unknown
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: none
diff --git a/assets/deepmind.yaml b/assets/deepmind.yaml
index 45d0fac7..32aba2e1 100644
--- a/assets/deepmind.yaml
+++ b/assets/deepmind.yaml
@@ -639,3 +639,24 @@
   prohibited_uses: ''
   monitoring: ''
   feedback: ''
+- type: model
+  name: Lyria
+  organization: DeepMind
+  description: Lyria is DeepMind's most advanced AI music generation model to date.
+  created_date: 2023-11-16
+  url: https://deepmind.google/discover/blog/transforming-the-future-of-music-creation/
+  model_card: none
+  modality: text; music
+  analysis: unknown
+  size: unknown
+  dependencies: []
+  training_emissions: unknown
+  training_time: unknown
+  training_hardware: unknown
+  quality_control: worked with artists and music industry to ensure utility
+  access: limited
+  license: unknown
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: ''
diff --git a/assets/meta.yaml b/assets/meta.yaml
index 79174172..203f8af9 100644
--- a/assets/meta.yaml
+++ b/assets/meta.yaml
@@ -694,6 +694,56 @@
   prohibited_uses: ''
   monitoring: ''
   feedback: ''
+
+- type: model
+  name: Emu Video
+  organization: Meta
+  description: Emu Video is a text-to-video generation model that factorizes the
+    generation into two steps, first generating an image conditioned on the text,
+    and then generating a video conditioned on the text and the generated image.
+  created_date: 2023-11-16
+  url: https://emu-video.metademolab.com/
+  model_card: none
+  modality: text; video
+  analysis: Analyzed against nearest neighbor model baseline and by extending the
+    video length.
+  size: 6B parameters (dense)
+  dependencies: [Emu, CLIP, T5]
+  training_emissions: unknown
+  training_time: unknown
+  training_hardware: unknown
+  quality_control: ''
+  access: limited
+  license: unknown
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: none
+
+- type: model
+  name: Emu Edit
+  organization: Meta
+  description: Emu Edit is a multi-task image editing model which sets state-of-the-art
+    results in instruction-based image editing.
+  created_date: 2023-11-16
+  url: https://emu-edit.metademolab.com/
+  model_card: none
+  modality: text; image
+  analysis: Evaluated on test set of actions in comparison to SoTA image editing
+    models.
+  size: unknown
+  dependencies: [Emu, CLIP, T5]
+  training_emissions: unknown
+  training_time: unknown
+  training_hardware: unknown
+  quality_control: ''
+  access: limited
+  license: unknown
+  intended_uses: ''
+  prohibited_uses: ''
+  monitoring: ''
+  feedback: none
+
 - type: model
   name: MetaCLIP
   organization: Meta