add auraflow

html/reference.json

@@ -205,6 +205,14 @@
     "extras": "width: 1024, height: 1024"
   }, 
 
+  "AuraFlow 0.1": {
+    "path": "https://huggingface.co/fal/AuraFlow",
+    "desc": "AuraFlow v0.1, an Open Exploration of Large Rectified Flow Models is inspired by SD3 and is by far the largest text-to-image generation model that comes with an Apache 2.0 license. This model achieves state-of-the-art results on the GenEval benchmark.",
+    "preview": "fal-AuraFlow.jpg",
+    "skip": true,
+    "extras": "width: 1024, height: 1024"
+  }, 
+  
   "Kandinsky 2.1": {
     "path": "kandinsky-community/kandinsky-2-1",
     "desc": "Kandinsky 2.1 is a text-conditional diffusion model based on unCLIP and latent diffusion, composed of a transformer-based image prior model, a unet diffusion model, and a decoder. Kandinsky 2.1 inherits best practices from Dall-E 2 and Latent diffusion while introducing some new ideas. It uses the CLIP model as a text and image encoder, and diffusion image prior (mapping) between latent spaces of CLIP modalities. This approach increases the visual performance of the model and unveils new horizons in blending images and text-guided image manipulation.",