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README.md

@@ -48,8 +48,7 @@ for more details on how to write your own denoising loop.
 For more information generally on how to use `diffusers` for inference, please have a look at the [official inference example](_) # <- TODO(PVP) add link
 
 ## Samples
-
-1. ![sample_1](https://huggingface.co/datasets/patrickvonplaten/images/resolve/main/hf/ddpm-cifar10/image_0.png)
-2. ![sample_1](https://huggingface.co/datasets/patrickvonplaten/images/resolve/main/hf/ddpm-cifar10/image_1.png)
-3. ![sample_1](https://huggingface.co/datasets/patrickvonplaten/images/resolve/main/hf/ddpm-cifar10/image_2.png)
-4. ![sample_1](https://huggingface.co/datasets/patrickvonplaten/images/resolve/main/hf/ddpm-cifar10/image_3.png)
+1. ![sample_1](https://huggingface.co/google/ncsnpp-ffhq-1024/resolve/main/generated_image_0.png)
+2. ![sample_2](https://huggingface.co/google/ncsnpp-ffhq-1024/resolve/main/generated_image_1.png)
+3. ![sample_3](https://huggingface.co/google/ncsnpp-ffhq-1024/resolve/main/generated_image_2.png)
+4. ![sample_4](https://huggingface.co/google/ncsnpp-ffhq-1024/resolve/main/generated_image_3.png)

model_index.json

@@ -1,12 +1,11 @@
 {
   "_class_name": "ScoreSdeVePipeline",
-  "_diffusers_version": "0.0.4",
-  "model": [
-    "diffusers",
-    "UNet2DModel"
-  ],
   "scheduler": [
     "diffusers",
     "ScoreSdeVeScheduler"
+  ],
+  "model": [
+    "diffusers",
+    "UNet2DModel"
   ]
 }