Adding `diffusers` weights of this model

This PR adds fp32 and fp16 weights in PyTorch and safetensors format to Yntec/Prodigy

model_index.json

@@ -1,18 +1,22 @@
 {
   "_class_name": "StableDiffusionPipeline",
-  "_diffusers_version": "0.18.0.dev0",
+  "_diffusers_version": "0.25.0.dev0",
   "feature_extractor": [
     "transformers",
     "CLIPFeatureExtractor"
   ],
-  "requires_safety_checker": null,
-  "safety_checker": [
+  "image_encoder": [
     null,
     null
   ],
+  "requires_safety_checker": true,
+  "safety_checker": [
+    "stable_diffusion",
+    "StableDiffusionSafetyChecker"
+  ],
   "scheduler": [
     "diffusers",
-    "EulerDiscreteScheduler"
+    "PNDMScheduler"
   ],
   "text_encoder": [
     "transformers",

scheduler/scheduler_config.json

@@ -1,23 +1,15 @@
 {
-  "_class_name": "EulerDiscreteScheduler",
-  "_diffusers_version": "0.19.0.dev0",
-
+  "_class_name": "PNDMScheduler",
+  "_diffusers_version": "0.25.0.dev0",
   "beta_end": 0.012,
   "beta_schedule": "scaled_linear",
   "beta_start": 0.00085,
   "clip_sample": false,
-  "interpolation_type": "linear",
-
   "num_train_timesteps": 1000,
   "prediction_type": "epsilon",
-
-
   "set_alpha_to_one": false,
-
+  "skip_prk_steps": true,
   "steps_offset": 1,
-  "timestep_spacing": "linspace",
-
-  "trained_betas": null,
-  "use_karras_sigmas": false
-
+  "timestep_spacing": "leading",
+  "trained_betas": null
 }

vae/diffusion_pytorch_model.fp16.safetensors

@@ -1,3 +1,3 @@
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-oid sha256:a864ea259d236a4cae484c0dcb73a440534acf4e7d83e06c42082019d6d811e5
+oid sha256:3e4c08995484ee61270175e9e7a072b66a6e4eeb5f0c266667fe1f45b90daf9a
 size 167335342

vae/diffusion_pytorch_model.safetensors

@@ -1,3 +1,3 @@
 version https://git-lfs.github.com/spec/v1
-oid sha256:8747329c2a74a913c93d423d36001bc643ce9b9fd049882f86a7843c2c3a376e
+oid sha256:2aa1f43011b553a4cba7f37456465cdbd48aab7b54b9348b890e8058ea7683ec
 size 334643268