diff --git a/docs/nerfology/methods/generfacto.md b/docs/nerfology/methods/generfacto.md
index 3323b9dfd..2c037f08b 100644
--- a/docs/nerfology/methods/generfacto.md
+++ b/docs/nerfology/methods/generfacto.md
@@ -37,3 +37,26 @@ Specify which diffusion model to use with the diffusion_model flag:
```bash
ns-train generfacto --pipeline.model.diffusion_model ["stablediffusion", "deepfloyd"]
```
+
+# Example Results
+
+The following videos are renders of NeRFs generated from Generfacto. Each model was trained 30k steps, which took around 1 hour with DeepFloyd
+and around 4 hours with Stable Diffusion.
+
+"a high quality photo of a ripe pineapple" (Stable Diffusion)
+
+
+
+"a high quality zoomed out photo of a palm tree" (DeepFloyd)
+
+
+
+"a high quality zoomed out photo of a light grey baby shark" (DeepFloyd)
+
+