Update README.md

README.md

@@ -13,4 +13,20 @@ The dataset was curated by re-rendering and cleaning up the Objaverse dataset.
 Example image from the dataset:
 ![Dataset Example Image](https://huggingface.co/thesantatitan/flux-control-orbit/resolve/main/AGV_vUfbAOm3VgZZlfedG82Nx5HgSwpE9SflOcJMaA5iUJlgqsNmyWeYGrwgQwb1iqwm99NijPQnFF4urUzxFp1j6KtZDqDJp1E7s1IW4gv5D5Fd_a-EIiksnVor.png)
 
+I tried multiple training runs with different hyperparameters, and It seems that the model just learns the output structure at a very high level, but doesn't learn the details.
+Here are some example outputs when asked to generate multiple views of a bird 
+![Bird Multiple views 1](https://huggingface.co/thesantatitan/flux-control-orbit/resolve/main/AGV_vUcYWYEdGywSzW22SdSv3gsHU_eJWSBZfsPNjkj3vOvkz3hNAyofYvyuFK4tea42abeExtPd7jnNF6zmkB5-4hv3111E-_omVOWGR89Pz-_7dAEFOxYxTPvK.png)
+![Bird Multiple views 2](https://huggingface.co/thesantatitan/flux-control-orbit/resolve/main/validation_2199_e036f00f7f3f74d9b21e-2.png)
+
+
+Loss graphs for two best training runs
+![Loss](https://huggingface.co/thesantatitan/flux-control-orbit/resolve/main/Pasted%20Graphic.png)
+
+## Misc Details
+
+The training method here is similar to FLUX Depth Control, and FLUX Canny Control. 
+The conditioning image is added as extra channels in the input, and the model is asked to denoise the noisy channels.
+
+Thanks to [Modal](https://modal.com) for sponsoring the compute for this.
+