Fix deprecation warning by changing `CLIPFeatureExtractor` to `CLIPImageProcessor`.

Hey zigg-ai 👋,

Your model repository seems to contain logic to load a feature extractor that is deprecated, which you should notice by seeing the warning:

```
transformers/models/clip/feature_extraction_clip.py:28: FutureWarning: The class CLIPFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please use CLIPImageProcessor instead. warnings.warn(
```

when running `pipe = DiffusionPipeline.from_pretrained(zigg-ai/9a8cdaaf-5e35-40f4-9981-647c1926846a)`.This PR makes sure that the warning does not show anymore by replacing `CLIPFeatureExtractor` with `CLIPImageProcessor`. This will certainly not change or break your checkpoint, but onlymake sure that everything is up to date.

Best, the 🧨 Diffusers team.

model_index.json

@@ -1,11 +1,32 @@
 {
   "_class_name": "StableDiffusionPipeline",
   "_diffusers_version": "0.6.0",
-  "feature_extractor": ["transformers", "CLIPFeatureExtractor"],
-  "safety_checker": ["stable_diffusion", "StableDiffusionSafetyChecker"],
-  "scheduler": ["diffusers", "PNDMScheduler"],
-  "text_encoder": ["transformers", "CLIPTextModel"],
-  "tokenizer": ["transformers", "CLIPTokenizer"],
-  "unet": ["diffusers", "UNet2DConditionModel"],
-  "vae": ["diffusers", "AutoencoderKL"]
+  "feature_extractor": [
+    "transformers",
+    "CLIPImageProcessor"
+  ],
+  "safety_checker": [
+    "stable_diffusion",
+    "StableDiffusionSafetyChecker"
+  ],
+  "scheduler": [
+    "diffusers",
+    "PNDMScheduler"
+  ],
+  "text_encoder": [
+    "transformers",
+    "CLIPTextModel"
+  ],
+  "tokenizer": [
+    "transformers",
+    "CLIPTokenizer"
+  ],
+  "unet": [
+    "diffusers",
+    "UNet2DConditionModel"
+  ],
+  "vae": [
+    "diffusers",
+    "AutoencoderKL"
+  ]
 }